91色情片

Dr Hamid Alinejad-Rokny

Dr Hamid Alinejad-Rokny

Senior Lecturer
  • Bachelor: Software Engineering
  • Master: Artificial Intelligence
  • Industry: Data Scientist, 2012-2014.
  • Ph.D: BioMedical Machine Learning,听91色情片 Sydney, 2019.
  • Post-Doctoral: Harry Perkins Institute of Medical Research, UWA Australia
  • Director of 91色情片 BioMedical Machine Learning Laboratory (BML), 2020-present.
Engineering
Biomedical Engineering

Dr Rokny (PhD, 91色情片 Sydney, 2019) is the Director of 91色情片 BioMedical Machine Learning Laboratory (BML), where he leads a team of 25 researchers developing trustworthy artificial intelligence for biology and medicine, spanning medical artificial intelligence, large language models, and bio-machine learning. He听supervises a dynamic team of researchers and have successfully led over 60 projects, resulting in 100 high-quality publications in top-tier journals such as Nature Communications, Nature Neuroscience, The Lancet, Cell reports, PLOS Computational Biology, Blood, and A* conferences such as ICLR, NeurIPS, AAAI, and ACL, often as the first or senior author. The impact of my work is evident through a high citation rate [5,900+, h-index 40听Google Scholar] and a high FWCI score (AI= 7.6; Neuroscience= 4.7; Health Informatics= 4.75), which is outstanding considering the career stage. The impact of his leadership is also evidenced by securing significant grants, including a DECRA fellowship, 91色情片 Scientia fellowship, an NHMRC Ideas grant, and a CSIRO NGGP grant, as well as multiple awards such as Google fellowship, Tour de Cure and MSA fellowships for students under his leadership. Additionally, he actively enhance medical AI and machine learning literacy by collaborating with clinicians and health professionals across Sydney hospitals, including the Gene2Care and PreGen consortia, and NSW Health clinics, demonstrating the practical applications of AI to improve health outcomes. As the Health Theme Leader of the 91色情片 Data Science Hub, He sets health data science priorities, integrating research with practical health solutions. His organisational skills have led me to orchestrate over 100 seminars on AI in medicine, promoting knowledge sharing and collaboration. Furthermore, He contributes to research direction through roles on panels like NSF-CSIRO influencing funding towards innovative AI and genomics project and HUGO meeting. His commitment to training the next generation is showcased through his leadership in CSIRO鈥檚 NGGP, collaborating with industry partners like 23Strands to enhance the capabilities of emerging AI researchers in medical technologies. Notably, He is currently leading several national-level initiatives focused on developing foundation models in AI for Biology and Medicine (ClinAI, OmniST, ARGOS, and Molecular AI). These initiatives represent a significant step forward at the national level and aim to position Australia at the forefront of these emerging GPT-like technologies for individualised medicine.

Phone
+61 2 9385 1725
Location
91色情片 BioMedical Machine Learning Lab (BML), School of Biomedical Engineering, Level 1, Room 1002, Biological Sciences Building (E26)
  • Book Chapters | 2024
    Beheshti A; Alinejad-Rokny H; Suero Molina E; Di Ieva A, 2024, 'Understanding Big Data in Neurosurgery', in Advances in Experimental Medicine and Biology, pp. 157 - 175,
    Book Chapters | 2024
    Roshanzamir M; Alizadehsani R; Moravvej SV; Joloudari JH; Alinejad-Rokny H; Gorriz JM, 2024, 'Enhancing Interpretability in听Machine Learning: A Focus on听Genetic Network Programming, Its Variants, and听Applications', in , pp. 98 - 107,
    Book Chapters | 2024
    Shoeibi A; Jafari M; Sadeghi D; Alizadehsani R; Alinejad-Rokny H; Beheshti A; Gorriz JM, 2024, 'Early Diagnosis of听Schizophrenia in听EEG Signals Using One Dimensional Transformer Model', in , pp. 139 - 149,
    Book Chapters | 2022
    Shabani N; Beheshti A; Farhood H; Bower M; Garrett M; Rokny HA, 2022, 'iCreate: Mining Creative Thinking Patterns from听Contextualized Educational Data', in , pp. 352 - 356,
    Book Chapters | 2021
    Wang S; Beheshti A; Wang Y; Lu J; Sheng QZ; Elbourn S; Alinejad-Rokny H; Galanis E, 2021, 'Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload', in Artificial Intelligence in Education, pp. 384 - 389,
    Book Chapters | 2019
    Vafaee F; Dashti H; Alinejad-Rokny H, 2019, 'Transcriptomic Data Normalization', in Encyclopedia of Bioinformatics and Computational Biology Abc of Bioinformatics, pp. 364 - 371,
  • Journal articles | 2026
    Argha A; Alinejad-Rokny H; Hajati F; Magdy J; Li J; Lim ZZ; Yu J; Yang M; Butcher K; Ooi SY; Lovell NH, 2026, 'ECG-Adapt: A Novel Framework for Robust Electrocardiogram Classification Across Diverse Populations and Recording Conditions', IEEE Transactions on Biomedical Engineering, PP, pp. 1 - 12,
    Journal articles | 2026
    Asgharnezhad H; Shamsi A; Alizadehsani R; Mohammadi A; Alinejad-Rokny H, 2026, 'Enhancing Monte Carlo Dropout performance for uncertainty quantification', Neural Computing and Applications, 38,
    Journal articles | 2026
    Bakhshayeshi I; Hosseini MM; Argha A; Zahedi R; Lovell NH; Alinejad-Rokny H, 2026, 'CLinNET: An Interpretable and Uncertainty-Aware Deep Learning Framework for Multi-Modal Clinical Genomics', Advanced Science, 13, pp. e12842,
    Journal articles | 2026
    Bhangdia K; May ML; Kocarnik JM; Pritchett N; Crist A; Penberthy L; Acheson A; Deitesfeld L; A B; Aalruz H; Ababneh HS; Abaraogu UO; Abbas N; Abd ElHafeez S; Abdel-Hameed R; Abdel-Rahman WM; Abdelwahab SI; Abdi S; Abdollahi A; Abdoun M; Abdulah DM; Abdullah ; Abdullahi A; Abdul-Rahman T; Abdykerimova K; Abebe M; Abedi A; Abedini M; Abegaz KH; Abie A; Abie DD; Abiodun O; Aboagye RG; Abolhassani H; Abonie US; Abrar MM; Abu Z; Abu Farha RK; Abuadas FHA; Abubakar AK; Abubakar B; Abu-Gharbieh E; Abukhadijah HJ; Abusalah MAH; Abushanab D; Acharya S; Acuna JM; Adams LC; Addo IY; Adebiyi BO; Adedia D; Adedokun KA; Adegoke NA; Adekanmbi V; Adekola SA; Adesina MA; Adewuyi HO; Adeyeoluwa TE; Adiga U; Adnan M; Adnani QES; Adzigbli LA; Afolabi AA; Afzal MS; Agide FD; Agostinis Sobrinho C; Agyemang-Duah W; Ahinkorah BO; Ahlstrom AJ; Ahmad A; Ahmad D; Ahmad K; Ahmad MM; Ahmadi A; Ahmadi M; Ahmed A; Ahmed AM; Ahmed A; Ahmed GS; Ahmed H; Ahmed MF; Ahmed MS; Ahmed MS; Ahmed MB; Ahmed N; Ahmed SA; Ajala DE; Ajami M; Akhigbe RE; Akhtar MN; Al Awaidy S; Al Hamad H; Al Hasan SM; Al Qadire M; Al Thaher Y; Al Zoubi MAM; Alam R; Alamrew A; Albano D; Albashtawy M, 2026, 'Global, regional, and national burden of breast cancer among females, 1990鈥2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023', Lancet Oncology, 27, pp. 302 - 326,
    Journal articles | 2026
    Boonyakanog A; Sriwangyang K; Eamtanaporn T; Krasaesin A; Fakhruddin KS; Chantarangsu S; Cho S-D; Rokny HA; Porntaveetus T, 2026, 'Beyond the diagnosis: Unraveling DSPP genotype-phenotype correlations in dentin dysplasia and dentinogenesis imperfecta.', Jpn Dent Sci Rev, 62, pp. 46 - 56,
    Journal articles | 2026
    Chan YHE; Beheshti A; Hanif A; Sheikholeslami A; Shabani N; Alinejad-Rokny H; Qi Y; Porntaveetus T, 2026, 'A Survey of AutoML on Consumer Electronics in the Generative AI Era: Foundations, State of the Art, and Future Directions', IEEE Transactions on Consumer Electronics,
    Journal articles | 2026
    Elgendi M; Chen J; Xiao X; Yin J; Paez-Granados D; Menon C; Riener R; Allen J; Pineda-Alp铆zar AF; Zheng D; Easthope CA; Gnarra O; Lazaro J; Gil E; Bailon R; Laguna P; Guo X; Chan RHM; Cheung VCK; Cheung RTH; Wei Y; Aboagye SO; Sasagaki K; Ali A; Hunt J; Akerman H; White NM; Massaroni C; Schena E; Alsaafeen N; Fatma B; Pitsalidis C; Pappa A-M; Yang W; Ahmadizadeh C; Galli V; Hannigan B; Li Y; Shokurov A; Kim S; Luo S; Chan V; Truong VK; Baker S; Papale L; Philippa B; Alberto Cruz-Castaneda W; Bertemes-Filho P; Borik S; Alian AA; Tom N; Yuce MR; Markov K; Islam SMM; Dunn J; Franklin D; Williams J; Lovell NH; Alinejad-Rokny H; Argha A; Dheman K; Wagih M; Goltay MR; Liu H; Albagdady A; Dave D; Akbulut ES; Vinella D; Carlini AS; Steinhubl S; Dickey MD, 2026, 'The 2026 global roadmap for textile-integrated wearable technologies in health.', Physiological Measurement,
    Journal articles | 2026
    Faith J; Martopullo I; Arndt MB; Letourneau ID; Aalruz H; Abaraogu UO; Abbastabar H; Razeq NMIA; Aziz JMA; Abdulah DM; Abdullahi A; Abdulraheem AS; Abebe M; Abebe MS; Abedi A; Abedini M; Abie A; Abiodun O; Aboagye RG; Abolhassani H; Aborode AT; Abouelmagd ME; Abourashed NM; Abtahi D; Abu Farha RK; Abuadas FHA; Abuhammad S; Abuhelwa AY; Abukhadijah HJ; Aburuz S; Abushanab D; Acharya A; Achore M; Acuna JM; Adams LC; Addo IY; Adebisi TA; Adebiyi BO; Adedia D; Adedokun KA; Adegboye OA; Adeleke OT; Adeniyi MA; Adetunji JB; Adhana MT; Adiga U; Adnan M; Adnani QES; Adoma O; Adonteng-Kissi O; Afolabi RF; Afrifa-Yamoah E; Afzal MS; Afzal S; Agafari GB; Agampodi TC; Agordoh PD; Sobrinho CA; Agrawal S; Agwu ; Agyemang-Duah W; Ahinkorah BO; Ahmad D; Ahmad AA; Ahmad S; Ahmed MSA; Ahmed A; Ahmed GS; Ahmed MS; Ahmed N; Ahmed LA; Ahmed M; Ahmed A; Ajayi KV; Akeju O; Akhtar MN; Akinosoglou K; Akkaif MA; Al Awaidy S; Al Hasan SM; Alam N; Alam K; Al-Amer RM; Alamrew A; Al-Ashwal FY; Albashtawy M; Alcalde-Rabanal JE; Al-Dewik N; Aleidi SM; Alemayehu BA; Alemnew F; Alemu BK; Algahtani FD; Alhassan RK; Ali MU; Ali W; Ali I; Ali R; Ali MD; Ali K; Al-Iede M; Rokny HA; Alipour M; Al-Jabi SW; Alkubati SA; Allahbakhshian A; Allouh MZ; Al-Mamun ; Al-Marwani S; Almazan JU; Alnaeem MM; Sukumar MBA; Alomari MA; Alqudimat MR; Al-Raddadi RM; Alrousan SM; Alsabri MA; Alshahrani NZ; Alsharari AF; Altaany Z; Altaf A; Althobiani MA; Aly H; Alyahya MSI; Alzoubi KH; Al-Zyoud WA; Amer F; Amin TT; Amini S; Amusa GA; Ang SP; Anil A; Anjana P; Ankomah SE; Annadurai K; Anshebo AAA; Apostol GLC; Arabloo J; Arafat M; Aravkin AY; Areda D; Aregawi BB; Aremu A; Arockiaraj J; Arooj M; Asdaq SMB; Ashoobi MT; Ashraf T; Ashrafi M; Asiamah-Asare BKY; Aslam MS; Asri Y; Athari SS; Atout MMW; Atreya A; Atsbaha AH; Aumoldaeva ZM; Aurangzeb K; Awan SJ; Awan UA; Aweke AM; Ayala CO; Quintanilla BPA; Ayana LAA; Ayatollahi H; Ayyoubzadeh SM; Azad AKM; Aziz SA; Azizan A; Sheeba B; Babu GR; Bacha IT; Bagheri N; Bahreini R; Baklola MI; Balcha WF; Hasankhani MB; Baltatu OC; Banach M; Banik R; Banke-Thomas A; Bante SA; Barker-Collo SL; Barqawi HJ; Barrow A; Bashir S; Basri R; Bastan M-M; Basu S; Batra K; Bayat M; Bayih MT; Bedi N; Beeraka NM; Begum T; Behera P; Behera SM; Behnam B; Behzadi P; Belay AN; Tune SNBK; Berihun AA; Bermudez ANC; Bernstein RS; Bhandari J; Bhardwaj N; Bhardwaj P; Bhattacharya S; Bhatti GK; Bhatti JS; Biadgilign SK; Biswas M; Biswas MS; Bolarinwa OA; Bolla SR; Bolourinejad P; Bosoka SA; Carvajal AB; Bouaoud S; Busari AO; Bustanji Y; Butt ZA; Butt NS; Cahuana-Hurtado L; Barsbay M脟; C谩mera LA; Campos LA; Rincon JCC; C谩rdenas R; Carugno A; Cembranel F; Cenderadewi M; Cetin S; Chakraborty S; Chakraborty C; Chanda SK; Chandika RM; Chattu VK; Chaudhary AA; Chaudhuri S; Chen H; Chong B; Chopra D; Choudhari SG; Chowdhury MAK; Chukwu IS; Chung S; Cicero AFG; Cruz-Martins N; da Silva AG; Dadras O; Dagnew GWW; Dai X; Dalaba MA; Damtie ET; Danpanichkul P; Danso SE; Darcho SD; Darwesh AM; Dash NR; Weaver ND; Deekonda S; Delgado-Enciso I; Denova-Guti茅rrez E; Dervi拧evi膰 M; Dervi拧evi膰 E; Desai HD; Desale AT; Desalegn AA; Devanbu VGC; Devegowda D; Dewan SMR; Dhane AS; Dhar RRR; Dhital SR; Dhungel B; Didehvar K; Dif ES; Doegah PT; D'Oria M; Dowou RK; Dresse MT; Dumbili EW; Dunne J; Dutta S; Edvardsson K; Efendi F; Ekholuenetale M; Eko SM; Arab RAE; Sayed IE; Elgendy IY; Elhadi M; Elhadi YAM; Elhoumed M; Elmoselhi AB; Eltahawy AS; Enyew EF; Eslami M; Fadavian H; Fagbamigbe AF; Fakhradiyev IR; Fan Q; Faraji SN; Fareed M; Farhana A; Farooq SMY; Fasanmi AO; Fasina MM; Fatima Z; Fauk NK; Ferreira N; Fetensa G; Feyisa K; Fischer F; Fleischmann-Struzek C; Fogacci F; Forray A-I; Forthun I; Rodrigues CF; Fullman N; Gadeka DD; Galali Y; Gangachannaiah S; Gautam RK; Gebeyehu AAA; Gebreegziabher ZAA; Gebremedhin H; Gella GB; Getahun GK; Gete KY; Gezahegn TW; Ghamkhar A; Gharaibeh L; Ghasemi M-R; Ghoba S; Gilani SA; Girombelli A; Gohari K; Golechha M; Golmohammadi M; Gongye R; Goshu YA; Goudarzi H; Gunawardane DA; Guo Z; Guo Z; Gupta I; Gupta L; Gurmessa KA; Gurmessa L; Guti茅rrez-Murillo RS; Guzman-Esquivel J; Haakenstad A; Habteyes AT; Hadaro TSS; Haghmorad D; Haghtalab A; Haile ZT; Haile MT; Haile A; Hailegebireal AH; Hailu KT; Halder P; Halil HM; Haller S; Hamad IM; Hamdy NM; Hamidi S; Hanson VF; Haq MA; Harsini S; Hasan F; Hasnain S; Hassan IN; Hassan I; Hassan N; Ahmed OH; Hay SI; Hayat K; He W-Q; Heibati B; Heydari M; Hiraike Y; Holla R; Hoseinzadeh M; Hossain SB; Hossain S; Hossain MB; Hossain A; Hostiuc M; Htay MNN; Hua QN; Huang Z; Hushmandi K; Hussein D; Huynh H-H; Hwang B-F; Ibitoye OF; Ibitoye SE; Ibrayeva A; Ikiroma A; Ilesanmi OS; Ilic IM; Ilyasu S; Immurana M; Imoh LC; Inbaraj LR; Ishaqui AA; Islam M; Islam S; Islam R; Izquierdo-Condoy JSS; Jacob J; Jadidi A; Jairoun AA; Jakovljevic M; Jamali N; Jamaluddin J; James J; Jamil H; Jamil S; JamshidiRastabi S; Janardhanan R; Jarrahi E; Jayanna K; Jayaram S; Jeon JJ; Jeong S; Jiang M; Jimma W; Jokar M; Joseph AP; Joseph N; Joshi K; Joshua CE; Jung S-H; Kaambwa B; Kabir A; Kakkar AK; Kamath R; Kamorudeen RT; Kamran A; Kang J; Kanmodi KK; S SK; Karakasis P; Behnagh AK; Karimian M; Karun S; Kashoo FZ; Kausar MA; Kayode GA; Kebede YT; Kebede HK; Kemmer L; Khaing IK; Khan YS; Khan Z; Khan S; Khan IH; Khan MI; Khan MU; Khatab K; Khatatbeh MM; Kheirallah KA; Khidri FF; Khoshnaw NSH; Khoshvaght P; Khosravi F; Khowailed IA; Khubchandani J; Kim MS; Kim YS; Kim HJ; Kim J; Kimokoti RW; Kisa S; Kisa A; Shivakumar KM; Kolahi A-A; Konlan KD; Koul A; Laxminarayana SLK; Kretchy IA; Krishna V; Krishnamoorthy V; Krishnan B; Kuanar A; Defo BK; Kuitunen I; Kujur A; Kumah E; Kumar D; Kumar V; Kumar N; Kumar R; Kumar K; Kundu S; Kunutsor SK; Kurmanova A; Kusuma A; Kusuma D; Kuttybayev A; Kuwornu JP; Kyt枚 V; Pallavi LC; La Vecchia C; LaGrappe DA; Lahariya C; Lal DK; Lamadrid-Figueroa H; Lantos T; Larebo YM; Latief K; Lazarus ER; Le MHN; Le NHH; Lee W-C; Lee SW; Lenjisa J; Li J; Li Z; Li M-C; Lian Y; Limenh SK; Lin A; Liu X; Liu H; Liu Z; Liu J; Llanaj E; Lodhi MS; L贸pez-Gil JF; Loreche AM; Lukas GA; Lutambi AM; Lytras MD; Lytvyak E; Sheng-Kai K; Feei Z; Maalman RS-E; Madadi F; Madadizadeh F; Madinehzad SA; Maffia P; Magee LA; Mahalingam S; Mahmood NH; Majidnia M; Rad EM; Malik T; Mallick T; Malta DC; Mamun AA; Mannethodi K; Mansouri Z; Maqsood K; Maravilla JC; Marinho F; Martins-Melo FR; Maru NT; Marzo RR; Marzouk S; Masi S; Mathur N; Mathur M; Matozinhos FP; McHugh TA; Mehboob R; Meto TM; Mekonnen AG; Meles HN; Melese A; Melwani S; Mendoza W; Menezes RG; Menezes GA; Mengistie BA; Meo A; Mestrovic T; Mettananda CDK; Micha G; Mihretie KM; Mikrajab MAN; Miller TR; Minervini G; Ming LC; Mirghafourvand M; Mishra KG; Mitra T; Mohamed NS; Mohammad-Alizadeh-Charandabi S; Mohammadi M; Mohammed GSA; Mohammed Y; Mohammed S; Mokdad AH; Monasta L; Moni MA; Moreira RS; Morovvati M; Heris RM; Mostafa S; Motappa R; Moulton JE; Kiasary FM; Mowafy HL; Yousefi KM; Mubarak R; Mubarik S; Mudgal SK; Muhammad JS; Mukherjee S; Mulissa Z; Mulita F; Mulugeta C; Muse AH; Muthupandian S; Muvunyi CM; Myung W; Nafei A; Nagarajan K; Naqid IA; Nargus S; Nashwan AJ; Nassar M; Natto ZS; Nauman J; Naureen Z; Navaratna SNK; Naveed M; Nayak BP; Nayon FS; Nazari J; Nega AT; Negoi RI; Negoi I; Abadi RNS; Nematollahi MH; Nepal S; Nguyen HTH; Nguyen HT; Nguyen CD; Nguyen HLT; Nguyen CT; Nguyen CT; Nguyen T; Nguyen T; Niazi RK; Nikoobar A; Nisar MI; Nketia R; Nkrumah-Boateng A; Nomura S; Noor STA; Nawsherwan ; Nugen F; Nurfatimah N; Nyadanu SD; Nzoputam CI; Nzoputam OJ; Odediji SA; Odetokun IA; Oduro MS; Ogbo FA; Oghenetega OB; Ogundiran O; Oguta JO; Okati-Aliabad H; Okeke SR; Okekunle AP; Okesanya OJ; Okonji OC; Oliveira GMM; Olorukooba AA; Olorunsaiye CZ; Olusanya BO; Ong QC; Ortiz A; Ortiz-Prado E; Osborne A; Osuagwu UL; Othman MS; Ouner JJ; Ouyahia A; Oyelade T; Oyovwi MO; Ozsahin I; Mahesh PA; Padubidri JR; Panda SK; Pandey AK; Papadimopoulos I; Parida A; Parija PP; Parikh RR; Pasovic M; Patel BH; Patel KK; Patel S; Patil S; Patra A; Paudel U; Pepito VCF; Peprah ; Pereira G; Perico N; Pigott DM; Piracha ZZ; Poluru R; Avudaiappan AP; Porntaveetus T; Pourasghary S; Poursadeqiyan M; Pradipta RO; Prashant A; Puthussery S; Puvvula J; Qurashi SN; Shahraki HR; Raghav YSR; Raghuveer P; Rahim HM-A; Rahimi-Movaghar V; Rahman MA; Rahman M; Rahman M; Rahman FM; Rahman FS; Rahman MHU; Rahman M; Rai P; Raimondo I; Raimondo D; Rajendran J; Rajendran G; Ramadan MM; Ramasamy SK; Ramasamy C; Rana K; Rancic N; Rao AG; Rao M; Rasouli MA; Rasouli-Saravani A; Rath S; Rathi I; Rathish D; Rauniyar SK; Rawaf DL; Rawaf S; Rawassizadeh R; Ray A; Reategui-Rivera CM; Reithinger R; Remuzzi G; Rezaei N; Rizvi MR; da Silva TPR; Rodriguez JAB; Roever L; Romadlon DS; Ross AGP; Roudashti S; Rout HS; de Andrade Ruela G; Saad AMA; Saad MO; Sabbatucci M; Sabour S; Saddik BA; Sadeghi-Ghyassi F; Sadr H; Saeed U; Saeedi M; Safari M; Saghafi A; Sagharichi M; Saha N; Rafsanjani AS; Sharif-Askari NS; Sharif-Askari FS; Sahebkar A; Sahoo SS; Saif Z; Sakshaug JW; Salami B; Saleh MA; Salehi ; Salemcity AJ; Samodra YL; Sanjari E; Santhekadur PK; Saraswathy SYI; Saravanan A; Sarode SC; Sarode GS; Sassano M; Sawhney M; Saya GK; Sayeed A; Schlaich MP; Schuermans A; Sekar D; Semenova Y; Senthilkumaran S; Serban D; Sethi Y; Sewor C; Alshohadaei SMS; Shahab M; Shaheen AA; Shahid S; Shahwan MJ; Shaikh MA; Sham S; Shamim MA; Shams-Beyranvand M; Shamsutdinova A; Shanawaz M; Shannawaz M; Sharif N; Sharifan A; Sharma J; Sharma BK; Sharma K; Sharma B; Sheidaei A; Shenoy RR; Sherchan SP; Shetty PH; Shetty M; Shiddiky MJAJA; Shiferaw D; Shimul MH; Shiri R; Shittu A; Shivarov V; Shoaib A; Shool S; Shorofi SA; Shuaibu SA; Singh H; Singh P; Singh S; Singh S; Singh PS; Singh B; Singh A; Singh A; Singh K; Singh L; Sinto R; Skhvitaridze N; Skryabin VY; Sley EG; Sobia F; Solbana LKK; Solikhah S; Sony SA; Sood P; Sorensen RJD; Spagnolo AM; Spahic E; Sriram S; Stanikzai MH; Stergachis A; Straube S; Stubbs P; Su C-Y; Subramaniyan V; Odidi MS; Suleman M; Sultana M; Sumankuuro J; Sun J; Swain CK; Szarpak L; Tabatabaei SM; Tabatabaeizadeh S-A; Tabche C; Tabibi R; Tadele A; Taiba J; Tajabadi S; Tanabayev B; Tanabayeva D; Tarigan IU; Tariq S; Tedla MG; Tefera YM; Tesfaye TDD; Tesfu AA; Tessema GA; Tessema LW; Thapar R; Tharwat I; Sundaram MT; Thiruvengadam R; Thornton CS; Ticoalu JHV; Tilahun WT; Tilahun BDD; Tiruneh SA; Tleshev M; Tomo S; Topor-Madry R; Tovani-Palone MR; Tran TH; Tran AT; Tran QTH; Trico D; Tuglo LS; Ullah R; Umair M; Umar M; Umar M; Umar HO; Umar L; Unnikrishnan B; Upadhyay E; Urmey JM; Usman JS; Usso AA; Ozsahin DU; Valdez PR; Van den Eynde J; Radhakrishnan RV; Vasankari TJ; Venkidasamy B; Verma P; Vizzielli G; von Dadelszen P; Walia M; Wamai AW; Wang W; Wang Y; Wang W; Wasihun YW; Wei X; Weintraub RG; Weldegerima YG; Wickramasinghe ND; Wireko AA; Wondifraw EB; Wu F; Wudineh KG; Wudu TK; Xia Z; Xu X; Yadav V; Yadita ZSS; Yaghoubi S; Yahoo S; Yahya G; Yan H; Yano Y; Yassin MA; Yimer NB; Yismaw YE; Yogeshkumar S; Yohannes E; Yon DK; Yonemoto N; Yu Y; Yuan Q; Yunusa U; Zafar M; Zaghampour M; Zahra STT; Zakham F; Zamagni G; Zamora N; Zastrozhin M; Zawiah M; Zeariya MGM; Zenebe AM; Zeru EM; Zhang JMF; Zhang Z; Zhang H; Zhang Y; Zhao X; Zhumagaliuly A; Zoghi G; Zuber AMM; Zyoud SH; Zyoud SH; 袣邪屑懈褕薪懈泄 O; Lozano R; Schumacher AE; Murray CJL; Kassebaum NJ; Dirac MA, 2026, 'Global, regional, and national levels and trends in maternal mortality, progress towards the Sustainable Development Goals, and mortality from COVID-19 infection in pregnant women, 1990鈥2023: a systematic analysis for the Global Burden of Disease Study 2023', The Lancet Obstetrics Gynaecology & Women's Health, 2, pp. e375 - e424,
    Journal articles | 2026
    Flor LS; Spencer CN; Cagney J; Gil GF; Aalruz H; Abd ElHafeez S; Abdelwahab SI; Abdoun M; Abebe M; Abebe Y; Abedi A; Abelda帽o Zu帽iga RA; Abie A; Abiodun O; Aboagye RG; Abreu LG; Abu Farha RK; Abubakar B; Abuhammad S; Achore M; Adams LC; Adebiyi BO; Adedokun KA; Adegbile OE; Adegoke NA; Adeleke OT; Adeniyi MA; Adesina MA; Adewuyi HO; Adnani QES; Adzigbli LA; Afolabi AA; Afolabi RF; Afzal MS; Afzal S; Agyemang-Duah W; Ahinkorah BO; Ahmad A; Ahmad D; Ahmad MM; Ahmed A; Ahmed A; Ahmed H; Ahmed MS; Ahmed O; Akin-Odanye EO; Akosile W; Akpabio IU; Alam Z; Al-Amer RM; Alansari AN; Alanzi TM; Aleidi SM; Alemu MB; Alhalaiqa FN; Al-Iede M; Alinejad Rokny H; Almagharbeh WT; Al-Mamun M; Almazan JU; Alnaeem MM; Alrimawi I; Alshahrani NZ; Alyahya MSI; Amin TT; Amini S; Amiri S; Amu H; Amzat J; Anderson DB; Anuoluwa BS; Anvari S; Anyasodor AE; Aravkin AY; Arias de la Torre J; Armocida B; Arrieta A; Arumuganainar D; Ashraf T; Aslam B; Asri Y; Athari SS; Atorkey P; Atre SR; Atsbaha AH; Atta JA; Atteraya MS; Azzam AY; Sheeba B; Baghlaf KK; Baig AA; Balcha WF; Balmori-de-la-Miyar J; Bandyopadhyay S; Barik M; Barker-Collo SL; Bashar MA; Bashir S; Bashiri A; Bastan MM, 2026, 'Disease burden attributable to intimate partner violence against females and sexual violence against children in 204 countries and territories, 1990鈥2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet, 407, pp. 31 - 52,
    Journal articles | 2026
    Foroutannia A; Shoeibi A; Beheshti A; Alinejad-Rokny H; Ling SH; Lam HK, 2026, 'Advancing autonomous driving systems: A 3-dimensional U-Net framework for object detection via fusion of camera and LiDAR sensors', Information Sciences, 741,
    Journal articles | 2026
    Ghasemnejad T; Liang Y; Jahanian KH; Eidi M; Salmaninejad A; Abedini SS; Horta F; Lovell NH; Porntaveetus T; Grosser M; Aarabi M; Alinejad-Rokny H; Horta Nunez F, 2026, 'Comprehensive evaluation of ACMG/AMP-based variant classification tools', Bioinformatics, 42, pp. btaf623,
    Journal articles | 2026
    Green NFO; Sutton GJ; P茅rez-Burillo J; Wang J; Bagot S; Danon HG; Walsh K; Gokool A; Miles SA; Yang G; Herring CA; Liang Y; Pfundstein G; Sytnyk V; Alinejad-Rokny H; Lister R; Rosenbluh J; Gagnon-Bartsch JA; Voineagu I, 2026, 'CRISPRi screening in cultured human astrocytes uncovers distal enhancers controlling genes dysregulated in Alzheimer鈥檚 disease', Nature Neuroscience, 29, pp. 703 - 716,
    Journal articles | 2026
    Guo ZZ; Wu R; Li W; Yang K; Ying X; Alinejad-Rokny H; Ye Y, 2026, 'Mapping biology in space: from spatial transcriptomics platforms to analytical tools and databases', Science Bulletin, 71, pp. 921 - 945,
    Journal articles | 2026
    Intarak N; Ghasemnejad T; Fakhruddin KS; Kamal A; Prommanee S; Jahanian KH; Lovell NH; Alinejad-Rokny H; Porntaveetus T, 2026, 'LRP6 尾-Propeller Destabilization: Novel Variant, Phenotype and Diagnostic Implications in Tooth Agenesis', International Dental Journal, 76, pp. 109367,
    Journal articles | 2026
    Krasaesin A; Wongbanthit Y; Chaiboonyarak T; Wang DH; Alinejad-Rokny H; Samaranayake L; Pongpanich M; Porntaveetus T, 2026, 'Shotgun metagenomic profiling reveals ecological and functional alterations of the oral microbiome in craniosynostosis', Journal of Oral Microbiology, 18,
    Journal articles | 2026
    Li S; Fan L; Lin Y; Li Z; Wei X; Ni S; Alinejad-Rokny H; Yang M, 2026, 'Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates', Proceedings of the Aaai Conference on Artificial Intelligence, 40, pp. 31717 - 31725,
    Journal articles | 2026
    Li W; Zhang D; Peng E; Shen S; Alinejad-Rokny H; Liu Y; Zheng J; Jiang C; Ye Y, 2026, 'HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning', Advanced Science, 13,
    Journal articles | 2026
    Pongsapipatana N; Gavila P; Khieota T; Jung HS; Alinejad-Rokny H; Cho SD; Sriwattanapong K; Porntaveetus T, 2026, 'From tooth to gut: Proteomic evidence of systemic dysregulation in fluorosis', Ecotoxicology and Environmental Safety, 319, pp. 120310,
    Journal articles | 2026
    Sadeghi A; Hajati F; Argha A; H Lovell N; Yang M; Alinejad-Rokny H; Lovell N, 2026, 'Interpretable graph-based models on multimodal biomedical data integration: a technical review and benchmarking', Nature Communications, 17, pp. 5405 - 5405,
    Journal articles | 2026
    Sirota SB; Bender RG; Dominguez RMV; Movo A; Swetschinski LR; Araki DT; Han C; Wool EE; He J; Carter A; AJ Jabbar A; Aalipour MA; Aalruz H; Abbasi Dolatabadi Z; Abbastabar H; Abd ElHafeez S; Abdalla AN; Abdalla MA; Abdullah ; Abdallah EM; Abdel Razeq NMI; Abdelkader A; Abd-Elsalam S; Abdelwahab SI; Abdoun M; Abdous A; Abdrabou MM; Abdul Aziz JM; Abdulah DM; Abdullahi A; Abdul-Rahman T; Abdykerimova K; Abebe Getahun H; Abedi A; Abejew AA; Abidi SH; Abil OZ; Abiodun O; Aboagye RG; Abolhassani H; Abonie US; Aborode AT; Abourashed NM; Abtahi D; Abu Z; Abu Farha RK; Abuadas FHA; Abubakar AK; Abubakar U; Abu-Elala N; Abu-Gharbieh E; Abuhelwa AY; Abukhadijah HJ; Abushanab D; Acharya AB; Acharya KP; Acharya S; Achore M; Adal O; Adams LC; Addo IY; Adebisi TA; Adedia D; Adedokun KA; Adegoke NA; Adekanmbi V; Adeleke OT; Adesina MA; Adesola RO; Adetunji CO; Adetunji JB; Adewumi IP; Adhana MT; Adhikary RK; Adiba A; Adiga U; Adnan M; Adnani QES; Affinito G; Afzal S; Agafari GB; Aggarwal N; Agordoh PD; Agrawal A; Agyemang-Duah W; Ahadi M; Ahinkorah BO; Ahmad AA; Ahmad A; Ahmad D; Ahmad F; Ahmad I; Ahmad K; Ahmad MM; Ahmad R; Ahmad S; Ahmad T; Ahmadi A; Ahmadi M; Ahmed A; Lin J; Alinejad-Rokny H; Okeke S; Bhaskar S; Joseph A; Perez Chacon G; Vaman RS, 2026, 'Global burden of lower respiratory infections and aetiologies, 1990鈥2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet Infectious Diseases, 26, pp. 343 - 361,
    Journal articles | 2026
    Sirota SB; Bender RG; Dominguez RMV; Vongpradith A; Movo A; Swetschinski LR; Araki DT; Han C; Wool EE; A.J. Jabbar A; Aalipour MA; Aalruz H; Abbasi M; Abbasifard M; Abbaspour F; Abbastabar H; Abd ElHafeez S; Abdalla MA; Abdallah EM; Abdel Razeq NMI; Abd-Elsalam S; Abdelwahab OA; Abdoun M; Abdous A; Abdrabou MM; Abdul Aziz JM; Abdulkader RS; Abdullahi A; Abdulmalik AE; Abdulrahman RF; Abdul-Rahman T; Abedi A; Abejew AA; Abidi SH; Abil OZ; Abiodun O; Abo Kasem R; Aboagye RG; Abolhassani H; Aborode AT; Abourashed NM; Abtahi D; Abu Z; Abu Farha RK; Abu Rumeileh S; Abuadas FHA; Abubakar AK; Abubakar IB; Abu-Elala N; Abu-Gharbieh E; Abuhammad S; Abuhelwa AY; Abukhadijah HJ; Abushanab D; Acharya AB; Acharya KP; Acharya S; Achore M; Adams LC; Addo IY; Adedia D; Adedokun KA; Adegboye OA; Adegoke NA; Adekanmbi V; Adeleke OT; Adesina MA; Adesola RO; Adetunji JB; Adewumi IP; Adeyeoluwa TE; Adiba A; Adiga U; Adnan M; Adnani QES; Adoma PO; Affinito G; Afolabi AA; Afzal MS; Afzal S; Agafari GB; Aghajanian S; Agyemang-Duah W; Ahinkorah BO; Ahmad A; Ahmad D; Ahmad F; Ahmad K; Ahmad MM; Ahmad S; Ahmad S; Ahmad T; Ahmadi A; Ahmadi NS; Ahmadi S; Ahmadzade AM; Ahmed A; Ahmed GS; Ahmed H; Ahmed MS, 2026, 'Global, regional, and national burden of meningitis, its risk factors, and aetiologies, 1990鈥2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet Neurology, 25, pp. 451 - 468,
    Journal articles | 2026
    Thaweesapphithak S; Thongchotchat V; Alinejad-Rokny H; Samaranayake L; Osathanon T; Porntaveetus T, 2026, 'Explainable Artificial Intelligence in Dentistry: A Systematic Review of Its Trust and Translation', International Dental Journal, 76,
    Journal articles | 2025
    Ahmadi-Dastgerdi N; Hosseini-Nejad H; Alinejad-Rokny H, 2025, 'A hardware-efficient on-implant spike compression processor based on VQ-DAE for brain-implantable microsystems', Medical and Biological Engineering and Computing, 63, pp. 2047 - 2056,
    Journal articles | 2025
    Argha A; Alinejad-Rokny H; Baumgartner M; Schreier G; Celler BG; Redmond SJ; Butcher K; Ooi SY; Lovell NH, 2025, 'A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms', IEEE Transactions on Biomedical Engineering, 72, pp. 833 - 842,
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    Du Y; Zhao Y; Li J; Wang J; You S; Zhang Y; Zhang L; Yang J; Alinejad-Rokny H; Cheng S; Shao C; Zou D; Ye Y, 2025, 'PLXDC1+ Tumor-Associated Pancreatic Stellate Cells Promote Desmoplastic and Immunosuppressive Niche in Pancreatic Ductal Adenocarcinoma', Advanced Science, 12,
    Journal articles | 2025
    Farbehi N; Alinejad-Rokny H; Chtanova T; Rnjak-Kovacina J, 2025, 'Spatial and single-cell transcriptomics unravel the complex interplay between the body and medical implants', Cell Biomaterials, 1,
    Journal articles | 2025
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    Journal articles | 2025
    Hansun S; Argha A; Alinejad-Rokny H; Alizadehsani R; Gorriz JM; Liaw ST; Celler BG; Marks GB, 2025, 'A New Ensemble Transfer Learning Approach with Rejection Mechanism for Tuberculosis Disease Detection', IEEE Transactions on Radiation and Plasma Medical Sciences, 9, pp. 433 - 446,
    Journal articles | 2025
    Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw ST; Celler BG; Marks GB, 2025, 'Diagnostic Performance of Artificial Intelligence鈥揃ased Methods for Tuberculosis Detection: Systematic Review', Journal of Medical Internet Research, 27,
    Journal articles | 2025
    Hosseinzadeh M; Tanveer J; Rahmani AM; Alanazi A; Zaidi MM; Aurangzeb K; Alinejad-Rokny H; Porntaveetus T; Lee SW, 2025, 'A comprehensive survey of golden jacal optimization and its applications', Computer Science Review, 56,
    Journal articles | 2025
    Lee SW; Tanveer J; Rahmani AM; Alinejad-Rokny H; Khoshvaght P; Zare G; Malekpour Alamdari P; Hosseinzadeh M, 2025, 'SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks', Information Fusion, 114,
    Journal articles | 2025
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Adhana MT; Adhikary RK; Adiga U; Adl Parvar T; Adnan M; Adnani QES; Adoma PO; Adzigbli LA; Adzrago D; Affinito G; Afifi AM; Afoakwah C; Afolabi AA; Afolabi RF; Afr膬s芒nie V-A; Afzal S; Agafari GB; Agampodi SB; Agampodi TC; Aggarwal N; Aghaalikhani M; Aghajanian S; Aghamir SMK; Agide FD; Agostinis Sobrinho C; Agrawal A; Agyemang-Duah W; Ahadi M; Ahinkorah BO; Ahmad A; Ahmad D; Ahmad F; Ahmad I; Ahmad K; Ahmad K; Ahmad S; Ahmad T; Ahmad W; Ahmadi NS; Ahmed A; Ahmed A; Ahmed GS; Ahmed H; Ahmed J; Ahmed LA; Ahmed MDF; Ahmed MS; Ahmed MS; Ahmed MB; Ahmed M; Ahmed S; Ahmed SM; Ahmed SA; Aimagambetova G; Ajami M; Aji B; Akbarialiabad H; Akbarifard S; Akeju O; Akhigbe RE; Akhmedullin R; Akinkuotu OA; Akkaif MA; Akosile W; Akrami AE; Akyea RK; Al Amiry A; Al Awaidy S; Al Hasan SM; Al Homsi A; Al Nawayseh MK; Al Omari O; Al Ta'ani Z; Al Thaher Y; Al Zaabi OAM; Al Zoubi MAM; Al-Abbadi MA; Alalwan TA; Al-Aly Z; Alam K; Alam M; Alam MK; Alam M; Al-Amer RM; Alamrew A; Alansari A; Alanzi TM; Al-Ashwal FY; Albashtawy M; Aldhaleei WA; Aldossary MS; Aldridge RW; Aleidi SM; Alemayehu BA; Alemnew F; Alemu MB; Alene KA; Al-Eyadhy A; Alfalki AM; Algahtani FD; Algammal AM; Al-Habbal K; Alhaji NB; Al-Hajj S; Alhalaiqa FN; Al-Hanawi MK; Alhasan KA; Alhumaidi A; Alhumaydhi FA; Ali A; Ali HM; Ali I; Ali L; Ali M; Ali MD; Ali MU; Ali R; Ali S; Ali SS; Ali W; Alicandro G; Al-Iede M; Alif SM; Alinejad Rokny H; Alipour M; Al-Jabi SW; Aljofan M; Aljohani MS; Aljunid SM; Alkhatib A; Alkhawam M; Allebeck P; Allemailem KS; Allouh MZ; Almagharbeh WT; Al-Marwani S; Almasri NA; Almazan JU; Al-Mekhlafi HM; Almidani O; Almobayed A; Alnawafleh KA; Alniss HY; Alocious Sukumar MB; Alomari MA; Alosta MR; Alqahtani JS; Alqahtani SA; Alqudimat MR; Al-Qudimat AR; Alrimawi I; Alrousan SM; Al-Sabah SK; Alsabri MA; Altaany Z; Altaf A; Al-Tammemi AB; Al-Tawfiq JA; Althobiani MA; Altirkawi KA; Alvarez-Galvez J; Alvis-Guzman N; Alvis-Zakzuk NJ; Alwafi H; Al-Wardat M; Al-Worafi YM; Aly H; Alyahya MSI; Alzahrani H; Alzoubi KH; 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Cattaruzza MS; Cegolon L; Cembranel F; Cenderadewi M; Cercy KM; Cerin E; Chac贸n-Uscamaita PR; Chakraborty C; Chakraborty S; Chandan JS; Chandika RM; Chandradasa M; Chandrasekaran B; Chattu VK; Chatzimavridou-Grigoriadou V; Chaudhary AA; Chaudhuri S; Chaurasia A; Chen A-T; Chen CS; Chen G; Chen H; Chen H; Chen H; Chen H; Chen R; Chen S; Chen S; Chen X; Cheng H; Cheung KC; Chew NWS; Chi G; Chichagi F; Chihara I; Chimed-Ochir O; Ching PR; Chirinos-Caceres JL; Cho DY; Cho WCS; Chong B; Chong YY; Chou HI; Chowdhury EK; Chowdhury S; Christensen H; Chuang T-W; Chukwu IS; Chung E; Chung S-C; Chung S; Chutiyami M; Cicero AFG; Clark CCT; Cohen F; Columbus A; Conde J; Congly SE; Conrad N; Cooper LT; Corlateanu A; Cortese S; Cortesi PA; Cosma C; Cousin E; Cowart EJ; Criqui MH; Crist A; Cruz JA; Cruz-Martins N; Cui X; Culbreth GT; Cullen P; Cunningham M; Dababo N; Dabbagh A; Dadras O; Dahiru T; Dai X; Dai Z; Dalakoti M; Dalal K; Dalla Costa G; D'Amico E; Daniel RA; D'Anna L; Danpanichkul P; Danso SE; Darcho SD; Dardas LA; Dare C; Darouei B; Darvishi Cheshmeh Soltani R; Das SK; D谩vila-Cervantes CA; Davis Weaver N; Davletov D; Davletov K; De la Hoz FP; de la Torre-Luque A; Dee EC; Deekonda S; Deen A; Degenhardt L; Dehesh P; Delbari P; Delgado-Ortiz L; Delsoz M; Demetriades AK; Denova-Guti茅rrez E; Derese TN; Dergaa I; Deribe K; Derseh HA; Dervenis N; Dervi拧evi膰 E; Desai HD; Desta AA; Devanbu VGC; Devarakonda PK; Dewan SMR; Dhali A; Dhama K; Dharmagadda S; Dhimal ML; Dhimal M; Dhungel B; Di Pumpo M; Dias da Silva D; Diaz D; Diaz LA; Didehvar K; Dilipan E; Dillard LK; Ding X; Doaei S; Dohare S; Dokova KG; D'Oria M; Dorostkar F; Dorsey ER; Doshi OP; Doshmangir L; Dowou RK; Dresse MT; Driscoll TR; Dsouza AC; Du J; Dube J; Dubno JR; Dumbili EW; Dumith SC; Duncan BB; Duraes AR; Durojaiye OC; Dutta AK; Dutta S; Dutta S; Ebohon O; Eboreime E; Ebraheim LLM; Ebrahimi A; Ebrahimi MH; Ed-Dra A; Edvardsson D; Efendi F; Eftekhari B; Eghbali F; Eighaei Sedeh A; Eikemo TA; Eini E; Ekholuenetale M; Ekundayo TC; El Arab RA; EL Omri A; El Sayed Zaki M; Eladl MA; Elahi R; El-Ashker S; Elbeshbeishy R; Elemam NM; ElGohary GMT; Elhadi M; Elhoumed M; El-Huneidi W; Elmeligy OAA; Elmonem MA; Elmorsi R; Elnaem MH; ELNahas G; Elshaer M; Elsohaby I; Eltahawy AS; Emagneneh T; Endriyas M; Erkhembayar R; Esezobor CI; Eshetu D; Eslami M; Eslami N; Esp铆rito Santo RCD; Estep K; Eyawo O; Eze UA; Ezenwankwo E; Fadavian H; Fagbamigbe AF; Fagbule OF; Fahim A; Fahimi S; Fahira A; Fakhradiyev IR; Fakhri-Demeshghieh A; Falzone L; Fan Q; Farahmand M; Faramarzi A; Fareed M; Farhana Z; Faria L; Farinha CSES; Faris MEM; Faro A; Farooq SMY; Farrokhpour H; Farshad F; Farsi F; Fasina FO; Fasina MM; Fatehizadeh A; Fathi D; Fatima Z; Fayaz M; Fazeli P; Feigin VL; Feizkhah A; Fekadu G; Fekadu G; Femoe UM; Ferdous TR; Fereshtehnejad S-M; Fernandez-Jimenez R; Ferrara P; Ferrari AJ; Ferreira N; Fetensa G; Feyisa BR; Finnemore A; Fiorilla C; Fischer F; Fitriana I; Fogacci F; Folayan MO; Fomenkov AA; Fonzo M; Force LM; Fortuna D; Foschi M; Fotouhi M; Fowobaje KR; Franklin RC; Freitas A; Fu J; Fukumoto T; Fukunaga A; Fuller JE; G S; Gaal PA; Gadanya MA; Gadeka DD; Gafane-Matemane LF; Gajd谩cs M; Galali Y; Galiyeva D; Gallus S; Ganapathy D; Ganesan B; Gangachannaiah S; Gao X; Gao Y; Garba B; Garcia-Argibay M; Garcia-Azorin D; Gardner WM; Gast茅lum Espinoza WP; Gatzioufas Z; Gautam P; Gautam RK; Gaye B; Ge H-H; Gebre FS; Gebregergis MW; Gebrehiwot M; Gelchu M; Gelibter S; George NS; Getacher L; Getahun GK; Gete KY; Gething PW; Ghadiri K; Ghadirian F; Ghaffari Jolfayi A; Ghamkhar A; Ghasemi Assl S; Ghassemi F; Ghazy RM; Ghoba S; Gholamalizadeh M; Gholami Z; Gholizadeh N; Ghorbani Z; Ghotbi E; Ghuge A; Gialluisi A; Giannakis K; Gilani SA; Gill TK; Giri BR; Girmay AA; Girombelli A; G枚b枚l枚s L; Goel AK; Goel A; Goel RK; Goh LH; Gohari K; Golechha M; Golestani A; Golinelli D; Golmohammadi M; Gong W; Goulart AC; Grada A; Graham SM; Grivna M; Guan S-Y; Guarducci G; Gubari MIM; Gudeta MD; Guha A; Guicciardi S; Gulati S; Gunturu S; Guo C; Guo X; Guo Z; Guo Z; Gupta B; Gupta G; Gupta L; Gupta R; Guti茅rrez RA; Guti茅rrez-Murillo RS; Guzman-Esquivel J; Habteyes AT; Habteyohannes AD; Hadaro TS; Hadi NR; Hadian Z; Hafiz A; Hafsia S; Haghdoost F; Haghtalab A; Hai Nam N; Haile A; Haile D; Halder P; Haller S; Halwani R; Hama Aziz KH; Hamad IM; Hamadeh RR; Hamidi S; Hamilton EB; Hammoud A; Han C; Han H; Hanif A; Hanifi N; Hankey GJ; Hanna F; Haque A; Haque MN; Haque OI; Hargono A; Hariandja AMA; Haro JM; Harris AA; Hasaballah AI; Hasan F; Hasan MK; Hasan T; Hasani H; Hasanpour- Dehkordi A; Hashempur MH; Hashim NT; Hasnain A; Hassan AM; Hassan A; Hassan IN; Hassan I; Hassan N; Hassan Ahmed O; Hassan Wada Y; Hassan Zadeh Tabatabaei MS; Hassanipour S; Hathagoda LW; Haubold J; Havmoeller RJ; Hay SI; Hbid Y; He J; Hebert JJ; Heidari G; Heidari M; Heydari M; Hezam K; Hiraike Y; Horita N; Hossain A; Hossain L; Hossain MB; Hossain MM; Hossain MS; Hossain MB; Hosseini FS; Hosseinzadeh M; Hostiuc M; Hostiuc S; Hotez PJ; Hotwani P; Hoven H; Hu C; Hu Y; Huang J; Huang W; Huang Y; Huang Y; Huang Z; Huda MH; Humayun A; Husain W; Hushmandi K; Hussain J; Hussein NR; Husseiny MI; Iannone LF; Ibitoye SE; Ibrahim KS; Ibrahim R; Ibrahim R; Ibrahim UI; Ibrayeva A; Ida F; Ikuta KS; Ilesanmi OS; Ilic IM; Ilic MD; Ilyas MH; Imam MT; Imani M; Imoh LC; Inok A; Iqbal M; Iqbal M; Irham LM; Isa MA; Iskandar B; Iskander TR; Islam MR; Islam MS; Islam MS; Islam SMS; Islami F; Ismail F; Ismail NE; Ismoldayev Y; Isola G; Iwagami M; Iyamu IO; J V; Jaafari J; Jacob L; Jacobsen KH; Jadidi A; Jadidi-Niaragh F; Jafari M; Jafarinia M; Jafarzadeh A; Jaffar S; Jahrami H; Jairoun AA; Jaiswal V; Jaka S; Jakovljevic M; Jalilzadeh Yengejeh R; Jalloh M; Jamal A; Jamal QMS; Jamaluddin J; James J; Jamil H; Jamil S; Jamora RDG; Jamshidi M; JamshidiRastabi S; Janardhanan R; Jani CT; Jarrahi E; Javaheri T; Javaid SS; Javanmardi A; Javidnia J; Jawaid T; Jawell Odah Abed Q; Jayapal SK; Jayaram S; Jayasinghe RD; Jayasinghe YA; Jee SH; Jeganathan J; Jena D; Jeong S; Jeswani BM; Jha V; Ji JS; Jiang M; Jin W; Jomehzadeh N; Jonas JB; Joo T; Jor A; Joseph A; Joseph N; Joshi M; Joy G; Jozwiak JJ; J眉risson M; K V; Kaambwa B; Kabir A; Kabir Z; Kadel R; Kadir DHH; Kakkar AK; Kakodkar PV; Kalani R; Kalavani K; Kaliyadan F; Kalra S; Kamal MM; Kamal M; Kamarajah SK; Kamath R; Kamenova S; Kamireddy A; Kamorudeen RT; Kamtam DN; Kamyari N; Kamyshnyi O; Kanaan M; Kanaan SF; Kang J; Kanmodi KK; Kannan S S; Kantar RS; Kar D; Kar SK; Karakasis P; Karami J; Karasneh RA; Karimi MA; Karimi SE; Karimi Behnagh A; Karobari MI; Karpi艅ski TM; Katamreddy A; Kauppila JH; Kaushal K; Kazemi F; Kazemi Rad N; Kazemian S; Kebede HK; Kebede YT; Keflie TS; Kempegowda SN; Kerai S; Kerr JA; Keshri VR; Keshtkar K; Kesse-Guyot E; Khademi R; Khader YS; Khalid S; Khalifa HO; Khalifeh AH; Khalil AA; Khalili A; Khalili P; Khalilian A; Khalili-Tanha G; Khalis M; Khamesipour F; Khan A; Khan F; Khan G; Khan IW; Khan M; Khan MAS; Khan MJ; Khan MH; Khan MM; Khan MU; Khan MU; Khan SA; Khan S; Khan S; Khan U; Khan YS; Khan Z; Khanal V; Khanmohammadi S; Khasbage SU; Khashim Z; Khatab K; Khatatbeh H; Khatatbeh MM; Khatib MN; Khatri K; Khayat Kashani HR; Kheirallah KA; Khokhar SK; Khoshnaw NSH; Khosla AA; Khosravi A; Khosravi F; Khosravi S; Khosrowjerdi M; Khuman PR; Kifle ZD; Kim HJ; Kim J; Kim K; Kim MS; Kim YJ; Kimokoti RW; Kinati T; Kinfu Y; Kini B S; Kirk M; Kisa A; Kisa S; Kissimova-Skarbek K; Kitaw TA; Kivim盲ki M; KM AB; KM S; Knudsen AKS; Kobyliak N; Kocarnik JM; Kochhar S; Kodali PB; Kokkorakis M; Kolahi A-A; Kolieghu Tcheumeni DG; Kolves K; Komesuor J; Kompani F; Kondybayeva A; Koomson I; Koren G; Kormoker T; Korshunov VA; Korzh O; Kosen S; Kostev K; Koul PA; Kretchy IA; Kretchy J-P; Krishan K; Kua C-H; Kuanar A; Kuate Defo B; Kuddus M; Kuitunen I; Kulimbet M; Kulshreshtha S; Kumar D; Kumar D; Kumar J; Kumar K; Kumar M; Kumar N; Kumar N; Kumar T; Kumar T; Kumar V; Kumar V; Kumaran S; Kunjavara J; Kunutsor SK; Kurmanova A; Kurmi OP; Kurniasari MD; Kurpad KP; Kusnali A; Kustanti CY; Kusuma D; Kutluk T; Kuttybayev A; Kyei EF; Kyei GK; Kyei-Arthur F; Kyt枚 V; L C P; La Vecchia A; La Vecchia C; Lachi A; Ladan MA; Lagat AK; Lahariya C; Lai DTC; Lakanova B; Lakhani A; Lallukka T; L谩m J; Landires I; Langguth B; Laplante-L茅vesque A; Lara-Castor L; Lasrado S; Latief K; Latif A; Latif M; Lau J; Lauriola P; Lawan A; Lawanson T; Lawford HLS; Lazarus ER; Le DQ; Le DT; Le TTT; Ledda C; Lee I; Lee PH; Lee SW; Lee YH; Leigh J; Leivaditis V; Lennon MJ; Leonardi M; Leong E; Letafatkar N; Li C; Li H; Li J; Li J; Li M-C; Li S; Li W; Li W; Li ZA; Li Z; Lian Y; Liao C; Lim SS; Lin J; Lin Q; Lin S; Lindholm D; Linehan C; Ling Y; Linn S; Liu H; Liu J; Liu X; Liu X; Liu X; Liu Z; Liu Z; Llanaj E; Loftus MJ; Lohner V; L贸pez-Gil JF; Lopukhov PD; Lorkowski S; Lozano R; Luan S; Lubinda J; Lucas T; Lucchetti G; Lugo A; Lunevicius R; Luo H; Luo L; Luo S; Lv L; Lytras MD; Lytvyak E; Ma KS-K; Ma ZF; Maalman RS-E; Maass KL; Mabrok M; Machairas N; Machoy M; Madinezad SA; Madureira-Carvalho AM; Maffia P; Mahalingam S; Mahamed SA; Mahmood NH; Mahmood SAI; Mahmoudi A; Mai MT; Mai Xuan H; Maiti R; Majdan M; Makram AM; Makram OM; Malekpour M-R; Malekzadeh R; Malhotra HS; Malik AA; Malik F; Malta DC; Mangdow M; Manikkath J; Manla Y; Mannan F; Mansoor F; Mansourian M; Mansournia MA; Mantovani LG; Mao C; Maqbool T; Marasini BP; Marateb HR; Maravilla JC; Marques A; Martinez-Guerra BA; Martinez-Piedra R; Martini D; Martini S; Martins-Melo FR; Martorell M; M盲rz W; Marzo RR; Marzouk S; Mashudi S; Masi S; Mathangasinghe Y; Mathieson S; Mathioudakis AG; Mathur M; Mathur N; Mattiello R; Maude RJ; Maulik PK; May ML; Mayeli M; Mazidi M; Mazzotti A; Mbachu II; McKee M; McPhail MA; McPhail SM; Mediratta RP; Meena J; Mehari M; Mehboob R; Mehrotra R; Mehta V; Mekene Meto T; Meles HN; Melese A; Melwani S; Memetova A; Mendoza W; Menezes GA; Menezes RG; Mengistie EA; Mensah GA; Meo SA; Mercogliano M; Meretoja A; Meretoja TJ; Mestrovic T; Mettananda CDK; Mettananda S; Metwally MMM; Mhlanga A; Miazgowski T; Michalek IM; Michelerio A; Mideksa HS; Mihretie KM; Miller TR; Minervini G; Ming W-K; Mini GK; Mirghafourvand M; Mirica A; Mirkheshti A; Mirshahvalad SA; Mirutse MK; Mirzaei M; Mishra A; Mishra A; Mishra V; Mitchell PB; Mitra S; Mittal C; Mobayen M; Moberg ME; Modi S; Mohamed AI; Mohamed HM; Mohamed J; Mohamed MG; Mohamed NS; Mohamed Ahmed KAH; Mohammad T; Mohammadi A; Mohammadi MR; Mohammadian-Hafshejani A; Mohammadzadeh I; Mohammed A; Mohammed AS; Mohammed H; Mohammed O; Mohammed S; Mohammed S; Mohammed Y; Mohseni M; Mok T-N; Mokari-Yamchi A; Mokdad AH; Molinaro S; Mollaei A; Momani S; Monasta L; Monazzami A; Mondal H; Montalti M; Moradi Y; Moradi-Joo M; Moradi-Lakeh M; Moraga P; Morawska L; Moreira RS; Morsy MM; Mosaddeghi Heris R; Mosser JF; Mossialos E; Motavvef M; Mougin V; Mousavi A; Mousavi SZ; Mousavi Khaneghah A; Mousavi Kiasary SMS; Movo A; Mowafy HL; Mozahheb Yousefi K; Mrejen M; Mubarak R; Mubarik S; Mudenda S; Mughal F; Muhammad SA; Muhtar MS; Mujica OJ; Mukherjee S; Mukherjee S; Mukhopadhyay A; Muktadir MA; Mulatu S; Mulita F; Mulugeta C; Mulwa DF; Mu帽oz Laguna J; Munshi A; Murillo-Zamora E; Mushtaq A; Mustapha MT; Muthu S; Muthupandian S; Muvunyi CM; Myung W; Nabavi A; Naddafi F; Nafei A; Nagarajan AJ; Naik GR; Naik G; Nainu F; Nair S; Najmuldeen HHR; Nakhostin Ansari N; Nambi G; Nanditha NGA; Nangia V; Nansseu JR; Naqid IA; Narayana AI; Nargus S; Narimani Davani D; Nartey Y; Nascimento BR; Nascimento GG; Naser AY; Nashwan AJ; Nasiri H; Nassar M; Natto ZS; Nauman J; Navaratna SNK; Nayak BP; Nayak SG; Nayak VC; Naz S; Nazri-Panjaki A; Nchanji GT; Nduaguba SO; Nega AT; Negassa MT; Negesse CT; Negoi I; Negoi RI; Negru AG; Nejjari C; Nepal S; Nesbit OD; Netsere HB; Ng M; Nguefack-Tsague G; Ngunjiri JW; Nguyen CT; Nguyen D; Nguyen H-DT; Nguyen NP; Nguyen TP; Nguyen VT; Ngwa AM; Niazi RK; Nieddu L; Nigatu YT; Nikoobar A; Niranjan V; Nisro AM; Nnaji CA; Nomura S; Noor STA; Noorafrooz M; Noreen M; Noroozi M; Noubiap JJ; Nouri M; Noyes T; Nriagu VC; Nri-Ezedi CA; Nshimiyimana JC; Nugen F; Nunemo MH; Nurfatimah N; Nurrika D; Nyadanu SD; Nyande FK; Oancea B; Odat RM; Oddi FM; Odetokun IA; Odukoya OO; Oduro JK; Oduro MS; Ogundeko-Olugbami OT; Ogunkoya A; Ogunmiluyi OE; Oh I-H; Oh S; Okati-Aliabad H; Okeke SR; Okeke-Obayemi DO; Okekunle AP; Okesanya OJ; Okonji OC; Ola BA; Olabisi OI; Olalusi OV; Olatubi MI; Oliveira AB; Oliveira GMM; Olorukooba AA; Oludoye OO; Olum R; Olusanya BO; Olusanya JO; Oluwole OG; Omage FB; Omer GL; Omonisi AE; Ong KL; Onie S; Onwujekwe OE; Opesemowo OAG; Opio JN; Opitz M; Oradova AS; Ordak M; Orish VN; Ornello R; Orscelik A; Ortiz A; Ortiz-Prado E; Osborne A; Ostroff SM; Ostrominski JW; Osuagwu UL; Osuolale O; Othman EH; Otoiu A; Oumer A; Ouner JJ; Ouyahia A; Owolabi MO; Owusu IA; Oyebanji OA; Oyebola K; Oyelade T; Oyeniran KA; Oyeyemi OT; Ozsahin I; P A M; Pacheco-Barrios K; Padron-Monedero A; Padubidri JR; Paija DM; Pak A; Pakbaz Y; Pal PK; Palicz T; Palladino R; Paluvai T; Pan F; Panda SK; Panda-Jonas S; Pande Katare D; Pandi-Perumal SR; Pando-Robles V; Pandya A; Pangaribuan HU; Panos GD; Panos LD; Pantazopoulos I; Pantea Stoian A; Paolino G; Papa MV; Papadimopoulos I; Papadopoulou P; Parhizkar Roudsari P; Parikh RR; Park C; Park S; Parmar A; Passera R; Patel J; Patel M; Patel NN; Patel SK; Patel S; Patil BSU; Patil S; Patoulias D; Patra A; Patthipati VS; Pawar S; Pawar S; Pazoki Toroudi H; Pearce N; Peden AE; Pedersini P; Pekarcikova J; Penberthy L; Pepito VCF; Peprah EK; Peprah P; Perdig茫o J; Pereira G; Perez Chacon G; Perianayagam A; Perico N; Perna S; Pesudovs K; Petakh P; Petcu I-R; Peter OJ; Petermann-Rocha FE; Petri WA; Pham HN; Pham HT; Pham TT; Philip AK; Phillips MR; Piracha ZZ; Pirera E; Piroozkhkah M; Pirouzpanah S; Pisoni E; Plotnikov E; Podder I; Poddighe D; Polibin RV; Poluru R; Pon Avudaiappan A; Ponkilainen VT; Popa I; Popovic DS; Porntaveetus T; Pourasghary S; Pourbabaki R; Pourghazi F; Pourtaheri N; Prada SI; Pradhan J; Pradipta RO; Prashant A; Prates EJS; Pritchett N; Priya H; Pugliese NR; Puvvula J; Qasim NH; Qattea I; Qi X; Qi Z; Qiao Y; Quazi ZS; Rabiee N; Rabiei R; Rachmat B; Radhakrishnan RA; Radhakrishnan V; Radoj膷i膰 MR; Radpour N; Raeisi Shahraki H; Rafati L; Rafique I; Raghuveer P; Rahim F; Rahim HM-A; Rahimi S; Rahimi-Movaghar V; Rahman FM; Rahman M; Rahman MM; Rahman MHU; Rahman MM; Rahman M; Rahmani AM; Rahmani S; Rahmati M; Rahmatpour Rokni G; Rahmoune H; Raimondo D; Raimondo I; Raina SK; Raj JP; Raja A; Rajaa S; Rajabi E; Rajendran G; Rajendran J; Rajendran V; Rajindrajith S; Rajpoot PL; Rajput P; Ramadan MM; Ramadan M; Ramadhan K; Ramasamy C; Ramasamy SK; Ramezani Z; Ramezani Farani M; Ram铆rez-V茅lez R; Rana J; Rana K; Rana SS; Ranabhat CL; Rancic N; Rani S; Ranjbar Noei F; Rao CR; Rao K; Rao M; Rasella D; Rashedi S; Rashedi V; Rashid M; Rashidi M-M; Rasouli MA; Rasouli-Saravani A; Rasul A; Rathish D; Rauf A; Rauniyar SK; Rautalin I; Ravangard R; Rawaf DL; Rawal L; Rawassizadeh R; Razi B; Reategui-Rivera CM; Redwan E; Rehman AU; Rehman FU; Rehman W; Reifels L; Reile R; Remuzzi G; Reshmi B; Restaino S; Reyes LF; Rezaei M; Rezaei N; Rezaei N; Rezaeian M; Rezazadeh Eidgahi D; Rhee TG; Rias YA; Ribeiro ALP; Ribeiro da Silva TM; Rickard J; Rizvi MR; Robinson-Oden HE; Rocha HAL; Rocha-Gomes JR; Rodrigues M; Rodrigues da Silva TP; Rodriguez JAB; Roever L; Rohloff P; Rohmah I; R枚hr S; Rojas-Rueda D; Rolfzen ML; Romadlon DS; Romoli M; Ronfani L; Root KT; Rosenblad E; Roshanshad A; Rostamian M; Roth GA; Rotimi K; Rout HS; Rouzbahani H; Rouzbahani R; Rowlands JV; Roy A; Roy B; Roy P; Roy S; Roy S; Roy S; Royapuram Parthasarathy P; Rubagotti E; Rumisha SF; Russo M; Rwegerera GM; Saad AMA; Sabbatucci M; Saber-Ayad MM; Sabour S; Sachdev PS; Sadat Rafiei SK; Saddik BA; Sadee BA; Sadegh T; Sadeghi E; Sadeghi E; Sadeghi-Ghyassi F; Saeed M; Saeed U; Saeedi M; Safdarian M; Safi S; Safi SZ; Sagar R; Sagharichi M; Saghazadeh A; Sagoe D; Saha I; Saha N; Saheb Sharif-Askari F; Saheb Sharif-Askari N; Sahebkar A; Sahu KS; Saif Z; Sajadi SM; Sajib MRUZ; Sajid MR; Salabat D; Salamati P; Salaroli LB; 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    Shamsi A; Becirovic R; Alinejad-Rokny H; Mohammadi A; Argha A, 2025, 'Gradient surgery: A necessity for robust test-time adaptation for detecting casting defects', Engineering Applications of Artificial Intelligence, 161,
    Journal articles | 2025
    Stark BA; DeCleene NK; Desai EC; Hsu JM; Johnson CO; Lara-Castor L; LeGrand KE; A PB; Aalipour MA; Aalruz H; Abafita BJ; Abaraogu UO; Abavisani M; Abbas N; Abbasi M; Abbasian M; Abbastabar H; Abd Al Magied AHA; ElHafeez SA; Abdelalim PA; Abdelfattah OM; Abdel-Hameed PR; Abdelnabi M; Wael M Abdel-Rahman P; Abdi P; Abdisa WM; Abdissa D; Abdous A; Abdullah M; Abdullahi A; Abdykerimova K; Abebe M; Abedi A; Abedi A; Abejew AA; Abhilash ES; Abiodun OO; Abiodun PO; Kasem RA; Aboagye RG; Abohashem S; Abolhassani H; Abonie US; Aborode AT; Abourashed NM; Abramov D; Abreu LG; Abtahi D; Abu Farha RK; Kende Abubakar AK; Abubakar IJ; Abu-Elala N; Abu-Gharbieh E; Abukhadijah HJ; Aburuz S; Abushanab D; Acharya AB; Acharya A; Acharya S; Achore M; Adal O; Adams LC; Adamu LH; Ad茫o R; Addo IY; Adebayo OM; Adebisi TA; Adedia D; Adedokun KA; Adegbile OE; Adegboye OA; Adegoke NA; Adekanmbi V; Adeleke OT; Oluwaseun Adetunji C; Adeyomoye OI; Adha R; Adhikari K; Adhikary RK; Adikusuma W; Parvar TA; Adnan M; Sakilah Adnani QE; Adoma PO; Adzigbli LA; Adzrago D; Afifi AM; Afolabi HA; Afrashteh F; Afrooghe A; Afzal MS; Afzal S; Agampodi SB; Agarwal DM; Agarwal G; Agarwal P; Ageru TA; Aggarwal N; Aghajanian S; Sobrinho CA; Alinejad-Rokny H; Biswas RK; Okeke S; Haghdoost F; Burley C; Wang N; Schutte A; Sachdev P; Lin J; Si Y; Sundstorm J; Peprah P; Bhaskar S; Neal B; Feng X; Xu L; Si L; Saddik B; Ye P; Anderson D, 2025, 'Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990-2023', Journal of the American College of Cardiology, 86, pp. 2167 - 2243,
    Journal articles | 2025
    Wang F; Lin J; Alinejad-Rokny H; Ma W; Meng L; Huang L; Yu J; Chen N; Wang Y; Yao Z; Xie W; Wong KC; Li X, 2025, 'Unveiling Multi-Scale Architectural Features in Single-Cell Hi-C Data Using scCAFE', Advanced Science, 12,
    Journal articles | 2025
    Wangsanut T; Khamto N; Alinejad-Rokny H; Pongpom M, 2025, 'Regulatory functions of AcuK and AcuM transcription factors in fungal metabolic adaptation, stress response, and virulence', Frontiers in Cellular and Infection Microbiology, 15,
    Journal articles | 2025
    Yu Z; Chen R; Gui P; Wang W; Razzak I; Alinejad-Rokny H; Zeng X; Shang X; Zhang L; Yang X; Yu H; Huang W; Lu H; van Wijngaarden P; He M; Zhu Z; Ge Z, 2025, 'A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning', Npj Digital Medicine, 8,
    Journal articles | 2025
    Zobeiri A; Rezaee A; Hajati F; Argha A; Alinejad-Rokny H, 2025, 'Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis', International Journal of Medical Informatics, 193,
    Journal articles | 2024
    Abedini SS; Akhavantabasi S; Liang Y; Heng JIT; Alizadehsani R; Dehzangi I; Bauer DC; Alinejad-Rokny H, 2024, 'A critical review of the impact of candidate copy number variants on autism spectrum disorder', Mutation Research Reviews in Mutation Research, 794,
    Journal articles | 2024
    Ahmadi-Dastgerdi N; Hosseini-Nejad H; Alinejad-Rokny H, 2024, 'A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems', International Journal of Neural Systems, 34,
    Journal articles | 2024
    Hosseinzadeh M; Haider A; Malik MH; Adeli M; Mzoughi O; Gemeay E; Mohammadi M; Alinejad-Rokny H; Khoshvaght P; Porntaveetus T; Rahmani AM, 2024, 'Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies', Plos One, 19,
    Journal articles | 2024
    Islam S; Mugdha SBS; Dipta SR; Arafat ME; Shatabda S; Alinejad-Rokny H; Dehzangi I, 2024, 'MethEvo: an accurate evolutionary information-based methylation site predictor', Neural Computing and Applications, 36, pp. 201 - 212,
    Journal articles | 2024
    Jafari M; Sadeghi D; Shoeibi A; Alinejad-Rokny H; Beheshti A; Garc铆a DL; Chen Z; Acharya UR; Gorriz JM, 2024, 'Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002鈥2023', Applied Intelligence, 54, pp. 35 - 79,
    Journal articles | 2024
    MacPhillamy C; Chen T; Hiendleder S; Williams JL; Alinejad-Rokny H; Low WY, 2024, 'DNA methylation analysis to differentiate reference, breed, and parent-of-origin effects in the bovine pangenome era', Gigascience, 13,
    Journal articles | 2024
    Rahaie Z; Rabiee HR; Alinejad-Rokny H, 2024, 'CNVDeep: deep association of copy number variants with neurocognitive disorders', BMC Bioinformatics, 25,
    Journal articles | 2024
    Razzak I; Naz S; Alinejad-Rokny H; Nguyen TN; Khalifa F, 2024, 'A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs', IEEE ACM Transactions on Computational Biology and Bioinformatics, 21, pp. 573 - 581,
    Journal articles | 2024
    Sadeghi A; Hajati F; Rezaee A; Sadeghi M; Argha A; Alinejad-Rokny H, 2024, '3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection', Computers in Biology and Medicine, 182,
    Journal articles | 2024
    Taylor R; Taylor J; Denisenko E; Jones M; Clayton J; Laing N; Forrest A; Alinejad-Rokny H; Ravenscroft G, 2024, 'Mapping human skeletal muscle enhancers to increase rates of genetic diagnosis', NEUROMUSCULAR DISORDERS, 43,
    Journal articles | 2024
    Truong P; Shen S; Joshi S; Islam MI; Zhong L; Raftery MJ; Afrasiabi A; Alinejad-Rokny H; Nguyen M; Zou X; Bhuyan GS; Sarowar CH; Ghodousi ES; Stonehouse O; Mohamed S; Toscan CE; Connerty P; Kakadia PM; Bohlander SK; Michie KA; Larsson J; Lock RB; Walkley CR; Thoms JAI; Jolly CJ; Pimanda JE, 2024, 'TOPORS E3 ligase mediates resistance to hypomethylating agent cytotoxicity in acute myeloid leukemia cells', Nature Communications, 15, pp. 7360,
    Journal articles | 2024
    Xue J; Alinejad-Rokny H; Liang K, 2024, 'Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions', Chemphysmater, 3, pp. 273 - 283,
    Journal articles | 2024
    Zahedi R; Ghamsari R; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2024, 'Deep learning in spatially resolved transcriptfomics: A comprehensive technical view', Briefings in Bioinformatics, 25, pp. bbae082,
    Journal articles | 2023
    Alizadehsani R; Roshanzamir M; Izadi NH; Gravina R; Kabir HMD; Nahavandi D; Alinejad-Rokny H; Khosravi A; Acharya UR; Nahavandi S; Fortino G, 2023, 'Swarm Intelligence in Internet of Medical Things: A Review', Sensors, 23,
    Journal articles | 2023
    Argha A; Li J; Magdy J; Alinejad-Rokny H; Celler BG; Butcher K; Ooi SY; Lovell NH, 2023, 'Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS,
    Journal articles | 2023
    Azim SM; Sabab NHN; Noshadi I; Alinejad-Rokny H; Sharma A; Shatabda S; Dehzangi I, 2023, 'Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers', Informatics in Medicine Unlocked, 42,
    Journal articles | 2023
    Ghamsari R; Rosenbluh J; Menon AV; Lovell NH; Alinejad-Rokny H, 2023, 'Technological Convergence: Highlighting the Power of CRISPR Single-Cell Perturbation Toolkit for Functional Interrogation of Enhancers', Cancers, 15, pp. 3566,
    Journal articles | 2023
    Hansun S; Argha A; Alinejad-Rokny H; Liaw ST; Celler BG; Marks GB, 2023, 'Revisiting Transfer Learning Method for Tuberculosis Diagnosis', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS,
    Journal articles | 2023
    Hong L; Modirrousta MH; Hossein Nasirpour M; Mirshekari Chargari M; Mohammadi F; Moravvej SV; Rezvanishad L; Rezvanishad M; Bakhshayeshi I; Alizadehsani R; Razzak I; Alinejad-Rokny H; Nahavandi S, 2023, 'GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM', Caai Transactions on Intelligence Technology,
    Journal articles | 2023
    Jafari M; Shoeibi A; Khodatars M; Ghassemi N; Moridian P; Alizadehsani R; Khosravi A; Ling SH; Delfan N; Zhang YD; Wang SH; Gorriz JM; Alinejad-Rokny H; Acharya UR, 2023, 'Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review', Computers in Biology and Medicine, 160,
    Journal articles | 2023
    Khozeimeh F; Alizadehsani R; Shirani M; Tartibi M; Shoeibi A; Alinejad-Rokny H; Harlapur C; Sultanzadeh SJ; Khosravi A; Nahavandi S; Tan RS; Acharya UR, 2023, 'ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease', Computers in Biology and Medicine, 158,
    Journal articles | 2023
    Labani M; Beheshti A; Argha A; Alinejad-Rokny H, 2023, 'A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants', International Journal of Molecular Sciences, 24,
    Journal articles | 2023
    Parhami P; Fateh M; Rezvani M; Alinejad-Rokny H, 2023, 'A comparison of deep neural network models for cluster cancer patients through somatic point mutations', Journal of Ambient Intelligence and Humanized Computing, 14, pp. 10883 - 10898,
    Journal articles | 2023
    Rahaie Z; Rabiee HR; Alinejad-Rokny H, 2023, 'DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants', Plos Computational Biology, 19,
    Journal articles | 2023
    Shabani N; Beheshti A; Farhood H; Bower M; Garrett M; Alinejad-Rokny H, 2023, 'A Rule-Based Approach for Mining Creative Thinking Patterns from Big Educational Data', Appliedmath, 3, pp. 243 - 267,
    Journal articles | 2023
    Shamsi A; Asgharnezhad H; Bouchani Z; Jahanian K; Saberi M; Wang X; Razzak I; Alizadehsani R; Mohammadi A; Alinejad-Rokny H, 2023, 'A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis', Neural Computing and Applications, 35, pp. 22179 - 22188,
    Journal articles | 2023
    Shoeibi A; Khodatars M; Jafari M; Ghassemi N; Moridian P; Alizadehsani R; Ling SH; Khosravi A; Alinejad-Rokny H; Lam HK; Fuller-Tyszkiewicz M; Acharya UR; Anderson D; Zhang Y; Gorriz JM, 2023, 'Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review', Information Fusion, 93, pp. 85 - 117,
    Journal articles | 2023
    Subramanian S; Thoms JAI; Huang Y; Cornejo-P谩ramo P; Koch FC; Jacquelin S; Shen S; Song E; Joshi S; Brownlee C; Woll PS; Chacon-Fajardo D; Beck D; Curtis DJ; Yehson K; Antonenas V; O'Brien T; Trickett A; Powell JA; Lewis ID; Pitson SM; Gandhi MK; Lane SW; Vafaee F; Wong ES; G枚ttgens B; Alinejad-Rokny H; Wong JWH; Pimanda JE, 2023, 'Genome-wide transcription factor鈥揵inding maps reveal cell-specific changes in the regulatory architecture of human HSPCs', Blood, 142, pp. 1448 - 1462,
    Journal articles | 2023
    Wang F; Alinejad-Rokny H; Lin J; Gao T; Chen X; Zheng Z; Meng L; Li X; Wong KC, 2023, 'A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level', Advanced Science, 10,
    Journal articles | 2023
    Wang S; Beheshti A; Wang Y; Lu J; Sheng QZ; Elbourn S; Alinejad-Rokny H, 2023, 'Learning Distributed Representations and Deep Embedded Clustering of Texts', Algorithms, 16,
    Journal articles | 2022
    Afrasiabi A; Alinejad-Rokny H; Khosh A; Rahnama M; Lovell N; Xu Z; Ebrahimi D, 2022, 'The low abundance of CpG in the SARS-CoV-2 genome is not an evolutionarily signature of ZAP', Scientific Reports, 12, pp. 2420,
    Journal articles | 2022
    Afrasiabi A; Keane JT; Ong LTC; Alinejad-Rokny H; Fewings NL; Booth DR; Parnell GP; Swaminathan S, 2022, 'Genetic and transcriptomic analyses support a switch to lytic phase in Epstein Barr virus infection as an important driver in developing Systemic Lupus Erythematosus', Journal of Autoimmunity, 127,
    Journal articles | 2022
    Alinejad-Rokny H; Modegh RG; Rabiee HR; Sarbandi ER; Rezaie N; Tam KT; Forrest ARR, 2022, 'MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments', Plos Computational Biology, 18,
    Journal articles | 2022
    Argha A; Celler BG; Alinejad-Rokny H; Lovell NH, 2022, 'Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm', IEEE Transactions on Instrumentation and Measurement, 71, pp. 1 - 10,
    Journal articles | 2022
    Band SS; Ardabili S; Yarahmadi A; Pahlevanzadeh B; Kiani AK; Beheshti A; Alinejad-Rokny H; Dehzangi I; Chang A; Mosavi A; Moslehpour M, 2022, 'A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis', Frontiers in Public Health, 10,
    Journal articles | 2022
    Dashti H; Dehzangi I; Bayati M; Breen J; Beheshti A; Lovell N; Rabiee HR; Alinejad-Rokny H, 2022, 'Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer', BMC Bioinformatics, 23,
    Journal articles | 2022
    Debnath T; Reza MM; Rahman A; Beheshti A; Band SS; Alinejad-Rokny H, 2022, 'Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity', Scientific Reports, 12,
    Journal articles | 2022
    Ghareyazi A; Kazemi A; Hamidieh K; Dashti H; Tahaei MS; Rabiee HR; Alinejad-Rokny H; Dehzangi I, 2022, 'Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types', BMC Bioinformatics, 23,
    Journal articles | 2022
    Grapotte M; Saraswat M; Bessi猫re C; Menichelli C; Ramilowski JA; Severin J; Hayashizaki Y; Itoh M; Tagami M; Murata M; Kojima-Ishiyama M; Noma S; Noguchi S; Kasukawa T; Hasegawa A; Suzuki H; Nishiyori-Sueki H; Frith MC; Abugessaisa I; Aitken S; Aken BL; Alam I; Alam T; Alasiri R; Alhendi AMN; Alinejad-Rokny H; Alvarez MJ; Andersson R; Arakawa T; Araki M; Arbel T; Archer J; Archibald AL; Arner E; Arner P; Asai K; Ashoor H; Astrom G; Babina M; Baillie JK; Bajic VB; Bajpai A; Baker S; Baldarelli RM; Balic A; Bansal M; Batagov AO; Batzoglou S; Beckhouse AG; Beltrami AP; Beltrami CA; Bertin N; Bhattacharya S; Bickel PJ; Blake JA; Blanchette M; Bodega B; Bonetti A; Bono H; Bornholdt J; Bttcher M; Bougouffa S; Boyd M; Breda J; Brombacher F; Brown JB; Bult CJ; Burroughs AM; Burt DW; Busch A; Caglio G; Califano A; Cameron CJ; Cannistraci CV; Carbone A; Carlisle AJ; Carninci P; Carter KW; Cesselli D; Chang JC; Chen JC; Chen Y; Chierici M; Christodoulou J; Ciani Y; Clark EL; Coskun M; Dalby M; Dalla E; Daub CO; Davis CA; de Hoon MJL; de Rie D; Denisenko E; Deplancke B; Detmar M; Deviatiiarov R; Di Bernardo D; Diehl AD; Dieterich LC, 2022, 'Author Correction: Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network (Nature Communications, (2021), 12, 1, (3297), 10.1038/s41467-021-23143-7)', Nature Communications, 13,
    Journal articles | 2022
    Labani M; Afrasiabi A; Beheshti A; Lovell NH; Alinejad-Rokny H, 2022, 'PeakCNV: A multi-feature ranking algorithm-based tool for genome-wide copy number variation-association study', Computational and Structural Biotechnology Journal, 20, pp. 4975 - 4983,
    Journal articles | 2022
    Labani M; Beheshti A; Lovell NH; Alinejad-Rokny H; Afrasiabi A, 2022, 'KARAJ: An Efficient Adaptive Multi-Processor Tool to Streamline Genomic and Transcriptomic Sequence Data Acquisition', International Journal of Molecular Sciences, 23, pp. 14418,
    Journal articles | 2022
    MacPhillamy C; Alinejad-Rokny H; Pitchford WS; Low WY, 2022, 'Cross-species enhancer prediction using machine learning', Genomics, 114,
    Journal articles | 2022
    Rezaie N; Bayati M; Hamidi M; Tahaei MS; Khorasani S; Lovell NH; Breen J; Rabiee HR; Alinejad-Rokny H, 2022, 'Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer', Communications Biology, 5,
    Journal articles | 2022
    Saberi-Movahed F; Mohammadifard M; Mehrpooya A; Rezaei-Ravari M; Berahmand K; Rostami M; Karami S; Najafzadeh M; Hajinezhad D; Jamshidi M; Abedi F; Mohammadifard M; Farbod E; Safavi F; Dorvash M; Mottaghi-Dastjerdi N; Vahedi S; Eftekhari M; Saberi-Movahed F; Alinejad-Rokny H; Band SS; Tavassoly I, 2022, 'Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods', Computers in Biology and Medicine, 146,
    Journal articles | 2022
    Sharifonnasabi F; Jhanjhi NZ; John J; Obeidy P; Band SS; Alinejad-Rokny H; Baz M, 2022, 'Hybrid HCNN-KNN Model Enhances Age Estimation Accuracy in Orthopantomography', Frontiers in Public Health, 10,
    Journal articles | 2022
    Sharifrazi D; Alizadehsani R; Joloudari JH; Band SS; Hussain S; Sani ZA; Hasanzadeh F; Shoeibi A; Dehzangi A; Sookhak M; Alinejad-Rokny H, 2022, 'CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering', Mathematical Biosciences and Engineering, 19, pp. 2381 - 2402,
    Journal articles | 2022
    Subramanian S; Thoms JA; Huang Y; Jacquelin S; Shen S; Song E; Joshi S; Brownlee C; Woll PS; Fajardo DC; Beck D; Curtis DJ; Yehson K; Antonenas V; O' Brien T; Trickett A; Powell J; Pitson SM; Gandhi MK; Cornejo P; Wong E; Lane SW; Gottgens B; Rokny HA; Wong JWH; Pimanda JE, 2022, 'Comparative Analysis of Genome-Scale Gene Regulatory Networks in Human Hematopoietic Stem and Myeloid Progenitor Fractions', BLOOD, 140, pp. 2846 - 2848,
    Journal articles | 2022
    Truong P; Shen S; Joshi S; Afrasiabi A; Zhong L; Raftery MJ; Larsson J; Lock RB; Walkley CR; Rokny HA; Thoms JAI; Jolly CJ; Pimanda JE, 2022, 'Genome-Wide CRISPR-Cas9 Screening Identifies a Synergy between Hypomethylating Agents and Sumoylation Blockade in Myelodysplastic Syndromes and Acute Myeloid Leukemia', BLOOD, 140,
    Journal articles | 2021
    Afrasiabi A; Keane JT; Ik-Tsen Heng J; Palmer EE; Lovell NH; Alinejad-Rokny H, 2021, 'Quantitative neurogenetics: Applications in understanding disease', Biochemical Society Transactions, 49, pp. 1621 - 1631,
    Journal articles | 2021
    Ghareyazi A; Mohseni A; Dashti H; Beheshti A; Dehzangi A; Rabiee HR; Alinejad-Rokny H, 2021, 'Whole-genome analysis of de novo somatic point mutations reveals novel mutational biomarkers in pancreatic cancer', Cancers, 13,
    Journal articles | 2021
    Grapotte M; Saraswat M; Bessi猫re C; Menichelli C; Ramilowski JA; Severin J; Hayashizaki Y; Itoh M; Tagami M; Murata M; Kojima-Ishiyama M; Noma S; Noguchi S; Kasukawa T; Hasegawa A; Suzuki H; Nishiyori-Sueki H; Frith MC; Abugessaisa I; Aitken S; Aken BL; Alam I; Alam T; Alasiri R; Alhendi AMN; Alinejad-Rokny H; Alvarez MJ; Andersson R; Arakawa T; Araki M; Arbel T; Archer J; Archibald AL; Arner E; Arner P; Asai K; Ashoor H; Astrom G; Babina M; Baillie JK; Bajic VB; Bajpai A; Baker S; Baldarelli RM; Balic A; Bansal M; Batagov AO; Batzoglou S; Beckhouse AG; Beltrami AP; Beltrami CA; Bertin N; Bhattacharya S; Bickel PJ; Blake JA; Blanchette M; Bodega B; Bonetti A; Bono H; Bornholdt J; Bttcher M; Bougouffa S; Boyd M; Breda J; Brombacher F; Brown JB; Bult CJ; Burroughs AM; Burt DW; Busch A; Caglio G; Califano A; Cameron CJ; Cannistraci CV; Carbone A; Carlisle AJ; Carninci P; Carter KW; Cesselli D; Chang JC; Chen JC; Chen Y; Chierici M; Christodoulou J; Ciani Y; Clark EL; Coskun M; Dalby M; Dalla E; Daub CO; Davis CA; de Hoon MJL; de Rie D; Denisenko E; Deplancke B; Detmar M; Deviatiiarov R; Di Bernardo D; Diehl AD; Dieterich LC, 2021, 'Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network', Nature Communications, 12,
    Journal articles | 2021
    Heidari R; Akbariqomi M; Asgari Y; Ebrahimi D; Alinejad-Rokny H, 2021, 'A systematic review of long non-coding RNAs with a potential role in breast cancer', Mutation Research Reviews in Mutation Research, 787,
    Journal articles | 2021
    Liu N; Low WY; Alinejad-Rokny H; Pederson S; Sadlon T; Barry S; Breen J, 2021, 'Seeing the forest through the trees: prioritising potentially functional interactions from Hi-C', Epigenetics and Chromatin, 14,
    Journal articles | 2021
    MacPhillamy C; Pitchford WS; Alinejad-Rokny H; Low WY, 2021, 'Opportunity to improve livestock traits using 3D genomics', Animal Genetics, 52, pp. 785 - 798,
    Journal articles | 2021
    Mahmoudi MR; Akbarzadeh H; Parvin H; Nejatian S; Rezaie V; Alinejad-Rokny H, 2021, 'Consensus function based on cluster-wise two level clustering', Artificial Intelligence Review, 54, pp. 639 - 665,
    Journal articles | 2021
    Pho KH; Akbarzadeh H; Parvin H; Nejatian S; Alinejad-Rokny H, 2021, 'A multi-level consensus function clustering ensemble', Soft Computing, 25, pp. 13147 - 13165,
    Journal articles | 2021
    Rajaei P; Jahanian KH; Beheshti A; Band SS; Dehzangi A; Alinejad-rokny H, 2021, 'VIRMOTIF: A user-friendly tool for viral sequence analysis', Genes, 12, pp. 1 - 9,
    Journal articles | 2021
    Rezaie N; Bayati M; Tahaei MS; Hamidi M; Khorasani S; Lovell N; Breen J; Rabiee H; Alinejad-Rokny H, 2021, 'Somatic point mutations are enriched in long non-coding RNAs with possible regulatory function in breast cancer', ,
    Journal articles | 2021
    Shamshirband S; Fathi M; Dehzangi A; Chronopoulos AT; Alinejad-Rokny H, 2021, 'A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues', Journal of Biomedical Informatics, 113,
    Journal articles | 2021
    Walsh K; Gokool A; Alinejad-Rokny H; Voineagu I, 2021, 'NeuroCirc: an integrative resource of circular RNA expression in the human brain', Bioinformatics, 37, pp. 3664 - 3666,
    Journal articles | 2020
    Afrasiabi A; Alinejad-Rokny H; Lovell N; Xu Z; Ebrahimi D, 2020, 'Insight into the origin of 5鈥橴TR and source of CpG reduction in SARS-CoV-2 genome', ,
    Journal articles | 2020
    Alinejad-Rokny H; Heng JIT; Forrest ARR, 2020, 'Brain-Enriched Coding and Long Non-coding RNA Genes Are Overrepresented in Recurrent Neurodevelopmental Disorder CNVs', Cell Reports, 33,
    Journal articles | 2020
    Bahrani P; Minaei-Bidgoli B; Parvin H; Mirzarezaee M; Keshavarz A; Alinejad-Rokny H, 2020, 'User and item profile expansion for dealing with cold start problem', Journal of Intelligent and Fuzzy Systems, 38, pp. 4471 - 4483,
    Journal articles | 2020
    Bayati M; Rabiee HR; Mehrbod M; Vafaee F; Ebrahimi D; Forrest ARR; Alinejad-Rokny H, 2020, 'CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes', Scientific Reports, 10, pp. 1286,
    Journal articles | 2020
    Hosseinpoor M; Parvin H; Nejatian S; Rezaie V; Bagherifard K; Dehzangi A; Beheshti A; Alinejad-Rokny H, 2020, 'Proposing a novel community detection approach to identify co-interacting genomic regions', Mathematical Biosciences and Engineering, 17, pp. 2193 - 2217,
    Journal articles | 2020
    Khakmardan S; Rezvani M; Pouyan AA; Fateh M; Alinejad-Rokny H, 2020, 'MHiC, an integrated user-friendly tool for the identification and visualization of significant interactions in Hi-C data', BMC Genomics, 21, pp. 225,
    Journal articles | 2020
    Niu H; Khozouie N; Parvin H; Alinejad-Rokny H; Beheshti A; Mahmoudi MR, 2020, 'An ensemble of locally reliable cluster solutions', Applied Sciences Switzerland, 10, pp. 1891,
    Journal articles | 2020
    Niu H; Xu W; Akbarzadeh H; Parvin H; Beheshti A; Alinejad-Rokny H, 2020, 'Deep feature learnt by conventional deep neural network', Computers and Electrical Engineering, 84, pp. 106656,
    Journal articles | 2019
    Masoudiasl I; Vahdat S; Hessam S; Shamshirband S; Alinejad-Rokny H, 2019, 'Proposing an Integrated Method based on Fuzzy Tuning and ICA Techniques to Identify the Most Influencing Features in Breast Cancer', IRANIAN RED CRESCENT MEDICAL JOURNAL, 21,
    Journal articles | 2019
    Woodward KJ; Stampalia J; Vanyai H; Rijhumal H; Potts K; Taylor F; Peverall J; Grumball T; Sivamoorthy S; Alinejad-Rokny H; Wray J; Whitehouse A; Nagarajan L; Scurlock J; Afchani S; Edwards M; Murch A; Beilby J; Baynam G; Kiraly-Borri C; McKenzie F; Heng JIT, 2019, 'Atypical nested 22q11.2 duplications between LCR22B and LCR22D are associated with neurodevelopmental phenotypes including autism spectrum disorder with incomplete penetrance', Molecular Genetics and Genomic Medicine, 7, pp. e00507,
    Journal articles | 2018
    Alinejad-Rokny H; Sadroddiny E; Scaria V, 2018, 'Machine learning and data mining techniques for medical complex data analysis', Neurocomputing, 276, pp. 1,
    Journal articles | 2018
    Kalantari A; Kamsin A; Shamshirband S; Gani A; Alinejad-Rokny H; Chronopoulos AT, 2018, 'Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions', Neurocomputing, 276, pp. 2 - 22,
    Journal articles | 2018
    Poulton C; Baynam G; Yates C; Alinejad-Rokny H; Williams S; Wright H; Woodward KJ; Sivamoorthy S; Peverall J; Shipman P; Ravine D; Beilby J; Heng JIT, 2018, 'A review of structural brain abnormalities in Pallister-Killian syndrome', Molecular Genetics and Genomic Medicine, 6, pp. 92 - 98,
    Journal articles | 2018
    Vafaee F; Dashti H; Alinejad-Rokny H, 2018, 'Transcriptomic Data Normalization', Encyclopedia of Bioinformatics and Computational Biology, Elsevier,
    Journal articles | 2018
    Vafaee F; Diakos C; Kirschner M; Reid G; Michael M; Horvath LISA; Alinejad-Rokny H; Cheng ZJ; Kuncic Z; Clarke S, 2018, 'A data-driven, knowledge-based approach to biomarker discovery: application to circulating microRNA markers of colorectal cancer prognosis', npj Systems Biology and Applications, 4, pp. 20 - 20,
    Journal articles | 2017
    Alinejad-Rokny H; Parvin H; Ahangarikiasari H, 2017, 'Pattern Mining and Identifying Co-Expressed Genes from RNA-Seq Dataset Using a New Swarm Intelligence-Based Clustering (Advanced Science, Engineering and Medicine, Vol. 9(1), pp. 36鈥45 (2017))', Advanced Science, Engineering and Medicine, 9, pp. 618 - 618,
    Journal articles | 2017
    Alinejad-Rokny H; Parvin H; Ahangarikiasari H, 2017, 'Pattern Mining and Identifying Co-Expressed Genes from RNA-Seq Dataset Using a New Swarm Intelligence-Based Clustering', Advanced Science, Engineering and Medicine, 9, pp. 36 - 45,
    Journal articles | 2017
    Alinejad-Rokny H, 2017, 'A Method to Avoid Gapped Sequential Patterns in Biological Sequences: Case Study: HIV and Cancer Sequences', Journal of Neuroscience and Neuroengineering, 4, pp. 49 - 53,
    Journal articles | 2017
    Baghernia A; Pavin H; Mirnabibaboli M; Alinejad-Rokny H, 2017, 'Clustering High-Dimensional Data Stream: A Survey on Subspace Clustering, Projected Clustering on Bioinformatics Applications (Advanced Science, Engineering and Medicine, Vol. 8(9), pp. 749鈥757 (2016))', Advanced Science, Engineering and Medicine, 9, pp. 617 - 617,
    Journal articles | 2016
    Alinejad-Rokny H; Anwar F; Waters SA; Davenport MP; Ebrahimi D, 2016, 'Source of CpG depletion in the HIV-1 genome', Molecular Biology and Evolution, 33, pp. 3205 - 3212,
    Journal articles | 2016
    Alinejad-Rokny H; Masoud M, 2016, 'A method for hypermutated viral sequences detection in fastq and bam format files', Journal of Medical Imaging and Health Informatics, 6, pp. 1202 - 1208,
    Journal articles | 2016
    Alinejad-Rokny H, 2016, 'Proposing on optimized homolographic motif mining strategy based on parallel computing for complex biological networks', Journal of Medical Imaging and Health Informatics, 6, pp. 416 - 424,
    Journal articles | 2016
    Baghernia A; Pavin H; Mirnabibaboli M; Alinejad-Rokny H, 2016, 'Clustering High-Dimensional Data Stream: A Survey on Subspace Clustering, Projected Clustering on Bioinformatics Applications', Advanced Science, Engineering and Medicine, 8, pp. 749 - 757,
    Journal articles | 2016
    Lloyd SB; Lichtfuss M; Amarasena TH; Alcantara S; De Rose R; Tachedjian G; Alinejad-Rokny H; Venturi V; Davenport MP; Winnall WR; Kent SJ, 2016, 'High fidelity simian immunodeficiency virus reverse transcriptase mutants have impaired replication in vitro and in vivo', Virology, 492, pp. 1 - 10,
    Journal articles | 2015
    Alinejad-Rokny H; Ebrahimi D, 2015, 'A method to avoid errors associated with the analysis of hypermutated viral sequences by alignment-based methods', Journal of Biomedical Informatics, 58, pp. 220 - 225,
    Journal articles | 2015
    Martyushev AP; Petravic J; Grimm AJ; Alinejad-Rokny H; Gooneratne SL; Reece JC; Cromer D; Kent SJ; Davenport MP, 2015, 'Epitope-specific CD8+ T cell kinetics rather than viral variability determine the timing of immune escape in simian immunodeficiency virus infection', Journal of Immunology, 194, pp. 4112 - 4121,
    Journal articles | 2015
    Parvin H; Mirnabibaboli M; Alinejad-Rokny H, 2015, 'Proposing a classifier ensemble framework based on classifier selection and decision tree', Engineering Applications of Artificial Intelligence, 37, pp. 34 - 42,
    Journal articles | 2014
    Ahmadinia M; Alinejad-Rokny H; Ahangarikiasari H, 2014, 'Data Aggregation in Wireless Sensor Networks Based on Environmental Similarity: A Learning Automata Approach', Journal of Networks, 9,
    Journal articles | 2014
    Alinejad-Rokny H; Pourshaban H; Orimi AG; Baboli MM, 2014, 'Network motifs detection strategies and using for bioinformatic networks', Journal of Bionanoscience, 8, pp. 353 - 359,
    Journal articles | 2014
    Ebrahimi D; Alinejad-Rokny H; Davenport MP; Ebrahimi Mohammadi D, 2014, 'Insights into the motif preference of APOBEC3 enzymes', Plos One, 9, pp. e87679,
    Journal articles | 2014
    Gooneratne SL; Alinejad-Rokny H; Ebrahimi D; Bohn PS; Wiseman RW; O'Connor DH; Davenport MP; Kent SJ, 2014, 'Linking pig-tailed macaque major histocompatibility complex class I haplotypes and cytotoxic T lymphocyte escape mutations in simian immunodeficiency virus infection', Journal of Virology, 88, pp. 14310 - 14325,
    Journal articles | 2014
    Jamnejad I; Heidarzadegan A; Parvin H; Alinejad-Rokny H, 2014, 'Localizing program bugs based on program invariant', International Journal of Computing and Digital Systems, 3, pp. 141 - 150,
    Journal articles | 2014
    Jamnejad MI; Parvin H; Alinejad-Rokny H; Heidarzadegan A, 2014, 'Proposing a New Method Based on Linear Discriminant Analysis to Build a Robust Classifier', Journal of Bioinformatics and Intelligent Control, 3, pp. 186 - 193,
    Journal articles | 2014
    Minaei-Bidgoli B; Parvin H; Alinejad-Rokny H; Alizadeh H; Punch WF, 2014, 'Effects of resampling method and adaptation on clustering ensemble efficacy', Artificial Intelligence Review, 41, pp. 27 - 48,
    Journal articles | 2014
    Mokhtari SM; Alinejad-Rokny H; Jalalifar H, 2014, 'Selection of the best well control system by using fuzzy multiple-attribute decision-making methods', Journal of Applied Statistics, 41, pp. 1105 - 1121,
    Journal articles | 2013
    Ahmadinia M; Meybodi M; Esnaashari M; Alinejad-Rokny H, 2013, 'Energy-efficient and multi-stage clustering algorithm in wireless sensor networks using cellular learning automata', IETE Journal of Research, 59, pp. 774 - 782,
    Journal articles | 2013
    Alinejad-Rokny H; Farzaneh MK; Orimi AG; Pedram MM; Kiasari HA, 2013, 'Proposing a new structure for web mining and personalizing web pages', Journal of Emerging Technologies in Web Intelligence, 5, pp. 287 - 295,
    Journal articles | 2013
    Javanmard R; JeddiSaravi K; Alinejad-Rokny H, 2013, 'Proposed a new method for rules extraction using artificial neural network and artificial immune system in cancer diagnosis', Journal of Bionanoscience, 7, pp. 665 - 672,
    Journal articles | 2013
    Parvin H; Alinejad-Rokny H; Minaei-Bidgoli B; Parvin S, 2013, 'A new classifier ensemble methodology based on subspace learning', Journal of Experimental and Theoretical Artificial Intelligence, 25, pp. 227 - 250,
    Journal articles | 2013
    Parvin H; Alinejad-Rokny H; Parvin S, 2013, 'A Classifier Ensemble of Binary Classifier Ensembles', International Journal of Learning Management Systems, 1, pp. 37 - 47,
    Journal articles | 2013
    Parvin H; Alinejad-Rokny H; Parvin S, 2013, 'A New Clustering Ensemble Framework', International Journal of Learning Management Systems, 1, pp. 19 - 25,
    Journal articles | 2013
    Parvin H; Minaei-Bidgoli B; Alinejad-Rokny H; Punch WF, 2013, 'Data weighing mechanisms for clustering ensembles', Computers and Electrical Engineering, 39, pp. 1433 - 1450,
    Journal articles | 2013
    Parvin H; Minaei-Bidgoli B; Alinejad-Rokny H, 2013, 'A new imbalanced learning and dictions tree method for breast cancer diagnosis', Journal of Bionanoscience, 7, pp. 673 - 678,
    Journal articles | 2012
    Alizadeh H; Alinejad-Rokny H; Parvin H; Sohrabi B, 2012, 'A new inference engine: Surface Matching Degree', Applied Mathematical Modelling,
    Journal articles | 2012
    Esmaeili L; Minaei-Bidgoli B; Alinejad-Rokny H; Nasiri M, 2012, 'Hybrid recommender system for joining virtual communities', Research Journal of Applied Sciences Engineering and Technology, 4, pp. 500 - 509
    Journal articles | 2012
    Parvin H; Alinejad-Rokny H; Seyedaghaee NR; Parvin S, 2012, 'A Heuristic Scalable Classifier Ensemble of Binary Classifier Ensembles', Journal of Bioinformatics and Intelligent Control, 1, pp. 163 - 170,
    Journal articles | 2012
    Sadeghi M; Alinejad-Rokny H, 2012, 'On covering of products of T-generalized state machines', Mathematical Sciences Letters, 1, pp. 43 - 52,
    Journal articles | 2012
    Shirvani MH; Alinejad-Rokny H, 2012, 'Performance Assessment of Feasible Scheduling Multiprocessor Tasks Solutions by using DEA FDH method', Information Sciences Letters, 1, pp. 61 - 66,
    Journal articles | 2011
    Minaei-Bidgoli B; Parvin H; Alizadeh H; Alinejad-Rokny H; Punch WF, 2011, 'Effects of resampling method and adaptation on clustering ensemble efficacy', Artificial Intelligence Review, pp. 1 - 22,
    Journal articles | 2011
    Parvin H; Alinejad-Rokny H; Asadi M, 2011, 'An ensemble based approach for feature selection', Australian Journal of Basic and Applied Sciences, 5, pp. 1153 - 1163
    Journal articles | 2011
    Parvin H; Helmi H; Minaei B; Rokny HA; Shirgahi H, 2011, 'Linkage learning based on differences in local optimums of building blocks with one optima', International Journal of Physical Sciences, 6, pp. 3419 - 3425
    Journal articles | 2011
    Rokny HA; Pedram MM; Shirgahi H, 2011, 'Discovered motifs with using parallel Mprefixspan method', Scientific Research and Essays, 6, pp. 4220 - 4226,
  • Preprints | 2026
    Chen D; Liu Z; Fang F; Leong CT; Ni S; Argha A; Alinejad-Rokny H; Yang M; Li C, 2026, Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation,
    Preprints | 2026
    Chen G; Sun C; Fu C; Wang Q; Huang Z; Wei C; Chen G; Fang F; Argha A; Zhao B; Xu X; Han Q; Alinejad-Rokny H; Qu Q; Li B; Ni S; Yang M; Wei H; Li Y, 2026, Beyond Quantity: Trajectory Diversity Scaling for Code Agents,
    Conference Papers | 2026
    Chen G; Sun C; Fu C; Wang Q; Huang Z; Wei C; Chen G; Fang F; Argha A; Zhao B; Xu X; Han Q; Alinejad-Rokny H; Qu Q; Li B; Ni S; Yang M; Wei HU; Li Y, 2026, 'Beyond Quantity: Trajectory Diversity Scaling for Code Agents', in Findings of the Association for Computational Linguistics: ACL 2026, Association for Computational Linguistics, pp. 15676 - 15691, presented at Findings of the Association for Computational Linguistics: ACL 2026, - ,
    Preprints | 2026
    Chen S; Zahedi R; Chhuo L; Nguyen R; BaghGolshani M; Beheshti A; Grosser M; Yang M; Farbehi N; Lovell N; Argha A; Vafaee F; Ye Y; Alinejad-Rokny H, 2026, Harmonised benchmarking of foundation models for single-cell and spatial transcriptomics reveals context-dependent generalisation,
    Preprints | 2026
    Karami M; Khadijeh ; Jahanian ; Alizadehsani R; Dehzangi I; Gorriz JM; Zhang Y; Wang J; Hajati F; Yang M; Porntaveetus T; Alinejad-Rokny H, 2026, Revolutionizing Genomics with Reinforcement Learning Techniques,
    Preprints | 2026
    Li S; Fan L; Li Z; Wan Z; Lin Y; Ni S; Fang F; Alinejad-Rokny H; Song Y; Jing K; Zhang CJ; Yang M, 2026, SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models,
    Preprints | 2026
    Li S; Fan L; Lin Y; Li Z; Wei X; Ni S; Alinejad-Rokny H; Yang M, 2026, Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates,
    Conference Papers | 2026
    Li S; Fan L; li Z; Wan Z; Lin Y; Ni S; Fang F; Alinejad-Rokny H; Song Y; Jing K; Zhang CJ; Yang M, 2026, 'SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models', in Findings of the Association for Computational Linguistics: ACL 2026, Association for Computational Linguistics, pp. 5117 - 5129, presented at Findings of the Association for Computational Linguistics: ACL 2026, - ,
    Conference Papers | 2026
    Li S; Shi J; Ni S; Zhang G; Li S; Wang S; Wen Z; LI Y; Alinejad-Rokny H; Liu J; Yang M; Huang W, 2026, 'CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs', in Findings of the Association for Computational Linguistics: ACL 2026, Association for Computational Linguistics, pp. 41837 - 41863, presented at Findings of the Association for Computational Linguistics: ACL 2026, - ,
    Preprints | 2026
    Li S; Shi J; Ni S; Zhang G; Li S; Wang S; Wen Z; Li Y; Alinejad-Rokny H; Liu J; Yang M; Huang W, 2026, CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs,
    Preprints | 2026
    Liang Y; Chhuo L; Argha A; Farbehi N; Chen L; Alizadehsani R; Hosseinzadeh M; Beheshti A; Porntaveetusm T; Ye Y; Alinejad-Rokny H, 2026, Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability,
    Preprints | 2026
    Shamsi A; Guo X-Y; Alinejad-Rokny H; Mohammadi A; Teney D; Abbasnejad E, 2026, Multi-Hypothesis Test-Time Adaptation to Mitigate Underspecification,
    Conference Papers | 2026
    Xu A; Yang Z; Li J; Yuan G; Chen L; Yan L; Zhou J; Qin Z; Chang H; Chen Y; Alinejad-Rokny H; Yang M, 2026, 'EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 3506 - 3513,
    Preprints | 2026
    Xu A; Yang Z; Li J; Yuan G; Chen L; Yan L; Zhou J; Qin Z; Chang H; Chen Y; Alinejad-Rokny H; Yang M, 2026, EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection,
    Preprints | 2026
    Yang Z; Xu A; Li J; Yan L; Zhou J; Qin Z; Chang H; Chen Y; Chen L; Argha A; Alinejad-Rokny H; Tan M; Cai Y; Yang M, 2026, Structuring Reasoning for Complex Rules Beyond Flat Representations,
    Preprints | 2025
    Asgharnezhad H; Shamsi A; Alizadehsani R; Mohammadi A; Alinejad-Rokny H, 2025, Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification,
    Conference Abstracts | 2025
    Buthpitiya Lekamlage Don U; Becirovic R; van Dorst J; Coffey M; Halim J; Beheshti, B; Argha R; Alinejad-Rokny H; Ooi KC, 2025, 'Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis', in 16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis, presented at North American Cystic Fibrosis Conference
    Preprints | 2025
    Chen D; Fang F; Ni S; Liang F; Hu X; Argha A; Alinejad-Rokny H; Yang M; Li C, 2025, Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused,
    Conference Papers | 2025
    Chen D; Liu Z; Fang F; Leong CT; Ni S; Argha A; Alinejad-Rokny H; Yang M; Li C, 2025, 'Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 12770 - 12785,
    Conference Papers | 2025
    Chen G; Fan L; Gong Z; Xie N; Li Z; Liu Z; Li C; Qu Q; Alinejad-Rokny H; Ni S; Yang M, 2025, 'AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 5850 - 5865,
    Conference Papers | 2025
    Chen L; Shan R; Wang H; Wang L; Liu Z; Luo R; Wang J; Alinejad-Rokny H; Yang M, 2025, 'CLaSp: In-Context Layer Skip for Self-Speculative Decoding', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 31608 - 31618,
    Preprints | 2025
    Doan BG; Shamsi A; Guo X-Y; Mohammadi A; Alinejad-Rokny H; Sejdinovic D; Teney D; Ranasinghe DC; Abbasnejad E, 2025, Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks,
    Conference Papers | 2025
    Doan BG; Shamsi A; Guo XY; Mohammadi A; Alinejad-Rokny H; Sejdinovic D; Teney D; Ranasinghe DC; Abbasnejad E, 2025, 'Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 16298 - 16307,
    Preprints | 2025
    Gao Y; Luo Y; Li W; Lan Y; Jiang H; Chen Y; Yi X; Li B; Alinejad-Rokny H; Wang T; Fu L; Yang M; Si T, 2025, Autonomous Liquid-handling Robotics Scripting for Accessible and Responsible Protein Engineering,
    Preprints | 2025
    Ghamsari R; de Graaf C; Thijssen R; You Y; Lovell N; Alinejad-Rokny H; Ritchie M, 2025, Comparative Analysis of Single-Nucleus and Single-Cell RNA Sequencing in Human Bone Marrow Mononuclear Cells: Methodological Insights and Trade-offs,
    Preprints | 2025
    Lee S; Ni S; Wei C; Li S; Fan L; Argha A; Alinejad-Rokny H; Xu R; Gong Y; Yang M, 2025, xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking,
    Conference Papers | 2025
    Lee S; Zhou J; Ao C; Li K; Du X; He S; Wu H; Liu T; Liu J; Alinejad-Rokny H; Yang M; Liang Y; Wen Z; Ni S, 2025, 'Quantification of Large Language Model Distillation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 4985 - 5004,
    Preprints | 2025
    Lee S; Zhou J; Ao C; Li K; Du X; He S; Wu H; Liu T; Liu J; Alinejad-Rokny H; Yang M; Liang Y; Wen Z; Ni S, 2025, Quantification of Large Language Model Distillation,
    Conference Papers | 2025
    Li J; Chen Y; Liu Z; Tan M; Zhang L; Li Y; Luo R; Chen L; Luo J; Argha A; Alinejad-Rokny H; Zhou W; Yang M, 2025, 'STORYTELLER: An Enhanced Plot-planning Framework for Coherent and Cohesive Story Generation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 20818 - 20846,
    Preprints | 2025
    Li J; Chen Y; Liu Z; Tan M; Zhang L; Li Y; Luo R; Chen L; Luo J; Argha A; Alinejad-Rokny H; Zhou W; Yang M, 2025, STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation,
    Preprints | 2025
    Luo J; Chen L; Luo R; Zhu L; Ao C; Li J; Chen Y; Cheng X; Yang W; Su J; Argha A; Alinejad-Rokny H; Li C; Ni S; Yang M, 2025, PersonaMath: Boosting Mathematical Reasoning via Persona-Driven Data Augmentation,
    Conference Papers | 2025
    Luo R; Li Y; Chen L; He W; Lin TE; Liu Z; Zhang L; Song Z; Alinejad-Rokny H; Xia X; Liu T; Hui B; Yang M, 2025, 'DEEM: DIFFUSION MODELS SERVE AS THE EYES OF LARGE LANGUAGE MODELS FOR IMAGE PERCEPTION', in 13th International Conference on Learning Representations Iclr 2025, Singapore, pp. 72484 - 72511, presented at The Thirteenth International Conference on Learning Representations, Singapore, 24 April 2025 - 28 April 2025, chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://proceedings.iclr.cc/paper_files/paper/2025/file/a8399aace3dfa6dfb8b635117748c561-Paper-Conference.pdf
    Preprints | 2025
    Luo R; Lin T-E; Zhang H; Wu Y; Liu X; Yang M; Li Y; Chen L; Li J; Zhang L; Xia X; Alinejad-Rokny H; Huang F, 2025, OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Self-Aware Emotional Speech Synthesis,
    Conference Papers | 2025
    Luo R; Zhang H; Chen L; Lin TE; Liu X; Wu Y; Yang M; Li Y; Wang M; Zeng P; Gao L; Shen HT; Li Y; Alinejad-Rokny H; Xia X; Huang F; Song J, 2025, 'MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 19655 - 19682,
    Preprints | 2025
    Ni S; Li S; Wang S; Bi X; Li Y; Gan C; Jin J; Lu Y; Argha A; Alinejad-Rokny H; Si T; Yang M; Wang T, 2025, Decoding Prokaryotic Whole Genomes with a Product-Contextualized Large Language Model,
    Preprints | 2025
    Sadeghi A; Hajati F; Argha A; Lovell NH; Yang M; Alinejad-Rokny H, 2025, Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking,
    Conference Papers | 2025
    Shamsi A; Becirovic R; Argha A; Abbasnejad E; Alinejad-Rokny H; Mohammadi A, 2025, 'ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 5907 - 5911,
    Conference Papers | 2025
    Sun Y; Chen G; Alinejad-Rokny H; Bao J; Huang Y; Liang B; Wong KF; Yang M; Xu R, 2025, 'Learning First-Order Logic Rules for Argumentation Mining', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 14133 - 14148,
    Preprints | 2025
    Wang Q; Chen G; Wang H; Liu H; Zhu M; Qin Z; Li L; Yue Y; Wang S; Li J; Wu Y; Liu Z; Chen L; Luo R; Fan L; Li J; Zhang L; Xu K; Li C; Alinejad-Rokny H; Ni S; Lin Y; Yang M, 2025, IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property,
    Preprints | 2025
    Zahedi R; Argha A; Farbehi N; Bakhshayeshi I; Ye Y; Lovell NH; Alinejad-Rokny H, 2025, SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics,
    Conference Papers | 2025
    Zhao J; Xu L; Tan M; Zhang L; Argha A; Alinejad-Rokny H; Yang M, 2025, 'RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation', in Proceedings 2025 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2025, pp. 4491 - 4496,
    Preprints | 2025
    Zhao J; Xu L; Tan M; Zhang L; Argha A; Alinejad-Rokny H; Yang M, 2025, RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation,
    Conference Papers | 2025
    Zhu J; Tan M; Yang M; Li R; Alinejad-Rokny H, 2025, 'CollectiveSFT: Scaling Large Language Models for听Chinese Medical Benchmark with听Collective Instructions in听Healthcare', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 51 - 60,
    Conference Papers | 2025
    Zhu K; Zang Q; Jia S; Wu S; Fang F; Li Y; Guo S; Zheng T; Li B; Wu H; Qu X; Yang J; Liu Z; Yue X; Liu J; Lin C; Yang M; Alinejad-Rokny H; Ni S; Huang W; Zhang G, 2025, 'LIME: Less Is More for MLLM Evaluation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 9086 - 9121,
    Conference Papers | 2024
    Hansun S; Argha A; Alinejad-Rokny H; Liaw ST; Celler BG; Marks GB, 2024, 'Pulmonary Tuberculosis Detection Using an Ensemble of ConvNeXts', in Ibiomed 2024 Proceedings of the 5th International Conference on Biomedical Engineering 2024, pp. 29 - 33,
    Preprints | 2024
    Javed S; Khan TM; Qayyum A; Alinejad-Rokny H; Sowmya A; Razzak I, 2024, Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images,
    Preprints | 2024
    Liang Y; Abedini S; Farbehi N; Alinejad-Rokny H, 2024, How chromatin interactions shed light on interpreting non-coding genomic variants: opportunities and future direc-tions,
    Preprints | 2024
    Ni S; Wu H; Yang D; Qu Q; Alinejad-Rokny H; Yang M, 2024, Small Language Model as Data Prospector for Large Language Model,
    Preprints | 2024
    Rahmani AM; Haider A; Adeli M; Mzoughi O; Gemeay E; Mohammadi M; Alinejad-Rokny H; Khoshvaght P; Hosseinzadeh M, 2024, Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies,
    Preprints | 2024
    Rahmani AM; Khoshvaght P; Alinejad-Rokny H; Sadeghi S; Asghari P; Arabi Z; Hosseinzadeh M, 2024, A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods,
    Preprints | 2024
    Shamsi A; Becirovic R; Argha A; Abbasnejad E; Alinejad-Rokny H; Mohammadi A, 2024, ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance,
    Conference Abstracts | 2024
    Taylor R; Taylor J; Denisenko E; Jones M; Clayton J; Laing N; Forrest A; Alinejad-Rokny H; Ravenscroft G, 2024, 'Mapping human skeletal muscle enhancers to increase rates of genetic diagnosis', in NEUROMUSCULAR DISORDERS, PERGAMON-ELSEVIER SCIENCE LTD, CZECH REPUBLIC, Prague, Vol. 43, presented at 29th International Congress of the World-Muscle-Society (WMS), CZECH REPUBLIC, Prague, 08 October 2024 - 12 October 2024,
    Preprints | 2024
    Wang F; Lin J; Alinejad-Rokny H; Ma W; Meng L; Huang L; Yu J; Chen N; Wang Y; Yao Z; Xie W; Li X; Wong K-C, 2024, Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE,
    Preprints | 2024
    Wang Q; Ni S; Liu H; Lu S; Chen G; Feng X; Wei C; Qu Q; Alinejad-Rokny H; Lin Y; Yang M, 2024, AutoPatent: A Multi-Agent Framework for Automatic Patent Generation,
    Preprints | 2024
    Zhu J; Tan M; Yang M; Li R; Alinejad-Rokny H, 2024, CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare,
    Preprints | 2023
    Abedini SS; Akhavan S; Heng J; Alizadehsani R; Dehzangi I; Bauer DC; Rokny H, 2023, A Critical Review of the Impact of Candidate Copy Number Variants on Autism Spectrum Disorders,
    Conference Papers | 2023
    Argha A; Li J; Magdy J; Alinejad-Rokny H; Celler BG; Butcher K; Ooi SY; Lovell NH, 2023, 'Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, Institute of Electrical and Electronics Engineers (IEEE), AUSTRALIA, Sydney, pp. 1 - 6, presented at 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), AUSTRALIA, Sydney, 24 July 2023 - 27 July 2023,
    Conference Papers | 2023
    Asgharnezhad H; Shamsi A; Bakhshayeshi I; Alizadehsani R; Chamaani S; Alinejad-Rokny H, 2023, 'Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion', in International Conference on Digital Signal Processing DSP,
    Preprints | 2023
    Jafari M; Sadeghi D; Shoeibi A; Alinejad-Rokny H; Beheshti A; Garc铆a DL; Chen Z; Acharya UR; Gorriz JM, 2023, Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023,
    Preprints | 2023
    Jafari M; Shoeibi A; Ghassemi N; Heras J; Ling SH; Beheshti A; Zhang Y-D; Wang S-H; Alizadehsani R; Gorriz JM; Acharya UR; Rokny HA, 2023, Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence,
    Conference Papers | 2023
    Montazerin M; Rahimian E; Naderkhani F; Atashzar SF; Alinejad-Rokny H; Mohammadi A, 2023, 'HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information', in ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings,
    Preprints | 2023
    Nasab RZ; Ghamsari MRE; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2023, Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View,
    Preprints | 2023
    Roshanzamir M; Shamsi A; Asgharnezhad H; Alizadehsani R; Hussain S; Moosaei H; Mohammadi A; Acharya UR; Alinejad H, 2023, Quantifying Uncertainty in Automated Detection of Alzheimer鈥檚 Patients Using Deep Neural Network,
    Preprints | 2023
    Subramanian S; Subramanian S; Thoms JAI; Huang Y; Cornejo P; Koch F; Jacquelin S; Shen S; Song E; Joshi S; Brownlee C; Woll P; Fajardo DC; Beck D; Curtis D; Yehson K; Antonenas V; Brien TO; Trickett A; Powell J; Lewis I; Pitson S; Gandhi M; Lane S; Vafaee F; Wong E; G枚ttgens B; Rokny HA; Wong JWH; Pimanda J, 2023, Cell Type-Specific Regulation by a Heptad of Transcription Factors in Human Hematopoietic Stem and Progenitor Cells,
    Preprints | 2022
    Band S; Ardabili S; Yarahmadi A; Pahlevanzadeh B; Kausar Kiani A; Beheshti A; Alinejad Rokny H; Dehzangi I; Chang A; Mosavi A; Moslehpour M, 2022, A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis,
    Preprints | 2022
    Band S; Ardabili S; Yarahmadi A; Pahlevanzadeh B; Kausar Kiani A; Beheshti A; Alinejad Rokny H; Dehzangi I; Mosavi A, 2022, Machine Learning and Internet of Medical Things for Handling COVID-19: Meta-Analysis,
    Conference Papers | 2022
    Danaei S; Bostani A; Moravvej SV; Mohammadi F; Alizadehsani R; Shoeibi A; Alinejad-Rokny H; Nahavandi S, 2022, 'Myocarditis Diagnosis: A Method using Mutual Learning-Based ABC and Reinforcement Learning', in IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics Automation Computer Science and Robotics Cinti Macro 2022 Proceedings, pp. 265 - 270,
    Preprints | 2022
    Jafari M; Shoeibi A; Khodatars M; Ghassemi N; Moridian P; Delfan N; Alizadehsani R; Khosravi A; Ling SH; Zhang Y-D; Wang S-H; Gorriz JM; Rokny HA; Acharya UR, 2022, Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review,
    Preprints | 2022
    Kazemi A; Hamidieh K; Dashti H; Ghareyazi A; Tahaei MS; Rabiee HR; Alinejad-Rokny H; Dehzangi I, 2022, Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types,
    Conference Papers | 2022
    Khozeimeh F; Roshanzamir M; Shoeibi A; Darbandy MT; Alizadehsani R; Alinejad-Rokny H; Ahmadian D; Khosravi A; Nahavandi S, 2022, 'Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges', in IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics Automation Computer Science and Robotics Cinti Macro 2022 Proceedings, pp. 245 - 250,
    Preprints | 2022
    Montazerin M; Rahimian E; Naderkhani F; Atashzar SF; Alinejad-Rokny H; Mohammadi A, 2022, HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information,
    Preprints | 2022
    Parhami P; Fateh M; Rezvani M; Rokny HA, 2022, A benchmarking of deep neural network models for cancer subtyping using single point mutations,
    Preprints | 2022
    Rahaie Z; Rabiee HR; Alinejad-Rokny H, 2022, DeepGenePrior: A deep learning model to prioritize genes affected by copy number variants,
    Preprints | 2022
    Rahman MM; Kamal Nasir M; A-Alam N; Islam Khan S; Band S; Dehzangi I; Beheshti A; Alinejad Rokny H, 2022, Hybrid Feature Fusion and Machine Learning Approaches for Melanoma Skin Cancer Detection,
    Conference Papers | 2022
    Shahabikargar M; Beheshti A; Khatami A; Nguyen R; Zhang X; Alinejad-Rokny H, 2022, 'Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns', in Proceedings 2022 IEEE 9th International Conference on Data Science and Advanced Analytics Dsaa 2022,
    Preprints | 2022
    Sharifonnasabi F; Jhanjhi N; John J; Obeidy P; Shamshirband S; Alinejad Rokny H; Baz M, 2022, Hybrid HCNN-KNN Model Enhances Age Estimation Accuracy in Orthopantomography,
    Preprints | 2022
    Sharifonnasabi F; Jhanjhi N; John J; Obeidy P; Shamshirband S; Alinejad Rokny H, 2022, Hybrid HCNN-KNN Transfer Learning Model Enhances Age Estimation Accuracy in Orthopantomography,
    Conference Abstracts | 2022
    Truong P; Shen S; Joshi S; Afrasiabi A; Zhong L; Raftery MJ; Larsson J; Lock RB; Walkley CR; Rokny HA; Thoms JAI; Jolly CJ; Pimanda JE, 2022, 'Genome-Wide CRISPR-Cas9 Screening Identifies a Synergy between Hypomethylating Agents and Sumoylation Blockade in Myelodysplastic Syndromes and Acute Myeloid Leukemia', in BLOOD, ELSEVIER, LA, New Orleans, Vol. 140, presented at 64th Annual Meeting and Exposition of the American-Society-of-Hematology (ASH), LA, New Orleans, 10 December 2022 - 13 December 2022,
    Preprints | 2021
    Debnath T; Reza MM; Rahman A; Band S; Alinejad Rokny H, 2021, Four-Layer ConvNet to Facial Emotion Recognition with Minimal Epochs and the Significance of Data Diversity,
    Preprints | 2021
    Hamidi H; Alinejad-Rokny H; Coorens T; Sanghvi R; Lindsay SJ; Rahbari R; Ebrahimi D, 2021, Signatures of Mutational Processes in Human DNA Evolution,
    Preprints | 2021
    Islam Khan MS; Rahman A; Karim MR; Bithi NI; Band SS; Dehzangi A; Alinejad-Rokny H, 2021, CovidMulti-Net: A Parallel-Dilated Multi Scale Feature Fusion Architecture for the Identification of COVID-19 Cases from Chest X-ray Images,
    Preprints | 2021
    Kazemi A; Ghareyazi A; Hamidieh K; Dashti H; Tahaei M; Rabiee H; Alinejad Rokny H; Dehzangi A, 2021, Pan-Cancer Integrative Analysis of Whole-Genome <em>De novo</em> Somatic Point Mutations Reveals 17 Cancer Types,
    Preprints | 2021
    Rezaie N; Bayati M; Tahaei MS; Hamidi M; Khorasani S; Lovell N; Breen J; Rabiee H; Alinejad-Rokny H, 2021, Somatic point mutations are enriched in long non-coding RNAs with possible regulatory function in breast cancer,
    Preprints | 2021
    Rezaie N; Bayati M; Tahaei MS; Hamidi M; Khorasani S; Lovell N; Breen J; Rabiee H; Rokny HA, 2021, Somatic point mutations are enriched in long non-coding RNAs with possible regulatory function in breast cancer,
    Preprints | 2020
    Afrasiabi A; Alinejad-Rokny H; Lovell N; Xu Z; Ebrahimi D, 2020, Insight into the origin of 5鈥橴TR and source of CpG reduction in SARS-CoV-2 genome,
    Preprints | 2020
    Alinejad-Rokny H; Modegh RG; Rabiee HR; Rezaie N; Tam KT; Forrest ARR, 2020, MaxHiC: robust estimation of chromatin interaction frequency in Hi-C and capture Hi-C experiments,
    Preprints | 2020
    Asgari Y; Heng JIT; Lovell N; Forrest A; Alinejad-Rokny H, 2020, Evidence for enhancer noncoding RNAs (enhancer-ncRNAs) with gene regulatory functions relevant to neurodevelopmental disorders,
    Preprints | 2020
    Dashti H; Dehzangi A; Bayati M; Breen J; Lovell N; Ebrahimi D; Rabiee H; Alinejad-Rokny H, 2020, Integrative analysis of mutated genes and mutational processes reveals seven colorectal cancer subtypes,
    Preprints | 2020
    Liu N; Low WY; Alinejad-Rokny H; Pederson S; Sadlon T; Barry S; Breen J, 2020, Seeing the forest through the trees: Identifying functional interactions from Hi-C,
    Preprints | 2020
    Sharifrazi D; Alizadehsani R; Hassannataj Joloudari J; Shamshirband S; Hussain S; Alizadeh Sani Z; Hasanzadeh F; Shoaibi A; Dehzangi A; Alinejad-Rokny H, 2020, CNN-KCL: Automatic Myocarditis Diagnosis using Convolutional Neural Network Combined with K-means Clustering,
    Preprints | 2019
    Alinejad-Rokny H; Heng JIT; Forrest ARR, 2019, Brain-enriched coding and long non-coding RNA genes are overrepresented in recurrent autism spectrum disorder CNVs,
    Preprints | 2018
    Bayati M; Rabiee HR; Mehrbod M; Vafaee F; Ebrahimi D; Forrest A; Alinejad-Rokny H, 2018, CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes,
    Conference Abstracts | 2015
    Gooneratne S; Alinejad-Rokny H; Mohammadi D; Bohn P; Wiseman R; O'Connor D; Davenport M; Kent S, 2015, 'LINKING PIGTAIL MACAQUE MHC I HAPLOTYPES AND CTL ESCAPE MUTATIONS IN SIV INFECTION', in JOURNAL OF MEDICAL PRIMATOLOGY, WILEY-BLACKWELL, Vol. 44, pp. 335 - 335,
    Preprints |
    Alinejad-Rokny H; Zarepour E; Khadijeh Jahanian H; Beheshti A; Dehzangi A, A Multivariate Data Analytics Approach Revealed No Footprint of APOBEC3 Proteins in Hepatitis B Virus Genome,
    Preprints |
    Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw S-T; Celler BG; Marks GB, Diagnostic Performance of Artificial Intelligence鈥揃ased Methods for Tuberculosis Detection: Systematic Review (Preprint),
    Preprints |
    Truong P; Shen S; Joshi S; Islam I; Zhong L; Raftery MJ; Afrasiabi A; Alinejad-Rokny H; Nguyen M; Zou X; Bhuyan GS; Sarowar CH; Ghodousi ES; Stonehouse O; Mohamed S; Toscan CE; Connerty P; Kakadia PM; Bohlander SK; Michie KA; Larsson J; Lock RB; Walkley CR; Thoms JAI; Jolly CJ; Pimanda JE, Genome-Wide CRISPR-Cas9 Screening Identifies a Synergy between Hypomethylating Agents and SUMOylation Blockade in MDS/AML,

Dr Rokny received extensive research funding support relative to career stage (total of $4.5M as sole/leading Chief Investigator (CI) and $10.6M as co-CI), demonstrating an impressive upward research career trajectory. These include:

  • Australia's Economic Accelerator, (CIA, Dec 2026, $520).
  • 91色情片-Mahidol Joint Seed Grant, (CIA, Nov 2025, $20K).
  • Australia's Economic Accelerator, (CIB, March 2025, $200K).
  • GESA Paediatric Research Grant (CIB, Nov, 2024)
  • 91色情片 GRIP Award (CIA, Nov, 2024)
  • 91色情片-SJTU Collaborative Research Grant, (CIA, Nov, 2024)
  • Trustworthy Digital Society Grant, (CIA, Oct, 2024)
  • Garvan Cellular Genomics Futures Institute Award (CIA, Sep, 2024).
  • 91色情片 Scientia Program Fellowship (variation award) (sole CI), ($800K, Sep 2023).
  • CCFA LITWIN IBD Pioneers Program Grant (leading CIB),听($400K, Feb 2023)
  • Australian National Health and Medical Research Council (NHMRC) IDEAS grant (CIB), ($600K, Dec 2022)
  • CSIRO Next-Generation Graduate Program (leading CI), ($1.7M including $700K for my Lab, Nov 2022)
  • GROW Funding (CIA), a competitive internal funding form USNW SYDNEY, Jun 2022, ($40K)
  • Tyree Foundation Institute of Health Engineering Catalyst Awards 2021 (sole CI), Nov 2021, ($30K)
  • Australian Research Council Discovery Early Career Researcher Award (DECRA 2022 鈥 sole CI), ($462K)
  • The Minor Research Equipment Grant-in-Aid Program Fund (sole CI), 91色情片 SYDNEY, July 2021, ($61K)
  • GROW Funding (sole CI), a highly competitive internal funding form USNW SYDNEY, Jun 2021, ($20K)
  • MERIT award offered for NHMRC Investigator Grant (sole CI), WA Dept of Health, Jun 2020, ($95K), declined because of moving to 91色情片
  • 91色情片 Cellular Genomics Futures Institute grant (CIB), in collab with Garvan Institute, May 2020, ($50K)
  • 91色情片 Cellular Genomics Futures Institute grant (CIC), in collab with 91色情片 BABS, May 2020, ($50K)
  • Highly competitive tenure-track 91色情片 Scientia Fellowship Program (sole CI), 91色情片, Oct 2019, ($680k)
  • Academic Start-up Funding (sole CI), Faculty of Engineering, 91色情片, Dec 2019, ($90K)
  • Highly competitive International Quebec Autism Research Training Fellowship (sole CI), collab with U of Montreal, Nov 2019, ($120K)
  • Highly prestigious Int. Fellowship Fonds de recherche du Qu茅bec Sant茅 (FRQS) (sole CI), Oct 2019, ($90K)
  • MERIT award for NHMRC Investigator Grant Application (sole CI), WA Dept of Health, Sep 2019, ($50K)

Dr. Rokny has been named on several industry funding in collaboration with Macquarie University),听These include:

  • Industry research partnership funding (CID), from PORSPA advance company, 750K for my Lab, May 2024, ($4.7M).
  • Industry research partnership funding (CID), Australian Digital Domains Group, 600K for my Lab, Nov 2022, ($3.6M).
  • Industry research partnership funding (CIE), from Australian digital companies Truuth/Locii, May 2022, ($3.2M).
  • Industry research partnership funding (CIC), from PORSPA advance company, May 2021, ($2.1M).

As a very young early career researcher, Dr Rokny has an exceptional track record in securing a range of national and international awards and prizes, despite my early career status. These include:

  • 路听听听听听Millennium Prize for Outstanding EMCR, Lorne Genome, Feb 2026.
  • 路听听听听听Adjunct Research Scientist, CSIRO, Aug 2022-2023
  • 路听听听听听Honorary Lecturer Fellow, University of Macquarie, Oct 2020-2023
  • 路听听听听听Travel support award from Institute for Research in Fundamental Sciences, Iran, invited speaker, ($1.9K), Feb 2020
  • 路听听听听听Health Data Analytics Program Leader, AI-enabled Processes (AIP) Research Centre, Dec 2019-curent
  • 路听听听听听MBSJ2019 (42nd Annual Meeting of the Molecular Biology) Travel support award, Japan, ($1K), Dec 2019
  • 路听听听听听RIKEN-HUGO award for best oral presentation in Human Genome Meeting 2019, South Korea, ($0.2K), Oct 2019
  • 路听听听听听Highly competitive tenure-track 91色情片 Scientia Fellowship Program award in Aug 2019 ($680K)
  • 路听听听听听Vice-chancellor fellowship award from RMIT, ($350K), May 2019 (declined in favour of 91色情片 Scientia Program).
  • 路听听听听听HDR conference support award from 91色情片 Sydney, ($3K), Jul 2015
  • 路听听听听听Travel support award from University of Tehran as invited speaker, Tehran, ($2K), Feb 2015
  • 路听听听听听Ph.D scholarship from 91色情片 Sydney, ($87.5K for 3.5 years), Mar 2013
  • 路听听听听听Top-up scholarship from the faculty of medicine, 91色情片 Sydney, ($30K for 3 years), Mar 2013
  • 路听听听听听Ph.D Scholarship award from The University of Newcastle, Australia, Jul 2012
  • 路听听听听听Travel award from Faculty of Engineering, The University Newcastle, Australia, ($1K), Jul 2012
  • 路听听听听听Government scholarships for Bachelor and Master degrees, (tuition fee waived)
  • 路听听听听听Dean鈥檚 award as ranked 1 student (out of 700 Master students), Science and Research University of Tehran, Sep 2010

Dr Rokny鈥檚 research focuses on using cutting-edge systems biology and advanced health data analytics techniques in conjunction with genome-wide data to understand the impact of genomic variants on genetic diseases and disorders. He is also interested to develop novel machine learning techniques, in particular, deep convolutional neural network, clustering, clustering,听classification, feature selection, and evolutionary algorithms.
Dr Rokny has extensive experience in the analysis of next generation sequencing (NGS) data from different platforms (Roche, SOLiD, Illumina, and Helicos) and protocols (Hi-C, Structural variants, Single point mutations, GWAS, RNA-seq, CAGE, small RNA, ChIP-seq, and Single-cell).听The move to 91色情片 Biomedical Engineering school has allowed him to translate his engineering and medical听research on mammalian systems onto clinically relevant questions such as identification of novel biomarkers, drug targets.

Dr. Rokny is currently looking for Research Associate/Assistant, Ph.D/Master/Honours students to join his BML Lab. The research projects will mainly focus on using cutting-edge Medical Artificial Intelligence, Systems Biology and Advanced Health Data Analytics techniques in conjunction with genome-wide data to understand biological and medical related problems.

There are several scholarships available for both international and domestic students. Please see the following links for more information:

  • Key-dates: https://research.unsw.edu.au/key-dates
  • 91色情片 Post-Graduate Research Scholarship for international students,
  • 91色情片 Post-Graduate Research Scholarship for domestic students
  • Australia awards and endeavour scholarships and fellowships
  • Determine your eligibility for a scholarship: https://selfassessment.research.unsw.edu.au/
  • Meet English requirement: /english-requirements-policy听

My Research Supervision

PhD &听MPhil Students:

  • Rejisa Becirovic,听PhD student, 2026-2030, (administered by 91色情片),听co-supervision with Dr. Reza Argha.
  • Liting Huang,听PhD student, 2026-2030, (administered by 91色情片),听co-supervision with with Dr. Reza Argha and dr. Nona Farbehi.
  • Amir Hossein Zobeiri,听PhD student, 2026-2030, (administered by 91色情片),听co-supervision with Dr. Reza Argha.
  • Mohammadreza Taghimohammadi,听PhD student, 2026-2030, (administered by 91色情片),听co-supervision with Dr. Reza Argha.
  • Sally Chen,听PhD student, 2025-2029, (administered by 91色情片),听co-supervision with Assoc. Prof听Fatemeh Vafaee and Mr Mark Grosser (23Strands company).
  • Yuheng Liang, PhD student, 2025-2029, (administered by 91色情片),听co-supervision with Prof Nigel Lovell and Dr Reza Argha.
  • Caleb The-Tjoean,听Master by Research (MPhil),听(administered by 91色情片),听co-supervision with Prof听Irina Voineagu.
  • Lucy Chhua,听Master by Research (MPhil), 2025-2028, (administered by 91色情片),听co-supervision with Assoc. Prof Ankur Sharma and Prof Nigel Lovell.
  • Ellie Shalbafian,听Master by Research (MPhil), 2024-2027, (administered by 91色情片), joint supervision with Prof Nigel Lovell and Dr Reza Argha.
  • Jonathan Williams,听Master by Research (MPhil), 2024-2028, (administered by 91色情片),听co-supervision with Dr Reza Argha and Prof Nigel Lovell.
  • Coco Xiaoge Huang,听PhD student, 2024-2028, (administered by 91色情片),听co-supervision with Dr Fatemeh Vafaee and Mr Mark Grosser (23Strands company).
  • Rebecca Browne,听PhD student, 2024-2028, (administered by 91色情片),听co-supervision with Prof Nigel Lovell and Dr Reza Argha.
  • Tohid Ghasemnejad, PhD student, 2023-2027,听(administered by 91色情片), co-supervision with Drs Fabrizzio Horta, Faezeh Marzbanrad, and Mr Mark Grosser (23Strands company).
  • Roxana Zahedi Nasab,听PhD student, 2023-2027, (administered by 91色情片), co-supervision with Prof Nigel Lovell,听Dr Reza Argha, and Dr Mo Lotfollahi.
  • Ivan Bakhshayeshi,听PhD student, 2023-2027, (administered by 91色情片),听co-supervision with Prof Nigel Lovell and Dr Reza Argha.
  • Mona (Sedigheh) Abedini, 2023-2027, (administered by 91色情片),听co-supervision with Dr Fatemeh Vafaee and A/Prof Orazio Vittorio.
  • Md. Mushahidul Islam Shamim,听Ph.D student, 2023-2027, (administered by 91色情片),听co-supervision with A/Prof Nadeem Kaakoush.
  • Reza Ghamsari, PhD student, 2022-2026,听(administered by 91色情片),听co-supervision with Prof Nigel Lovell and听Prof Matthew Ritchie (WEHI).
  • Afshar Shamsi, PhD student, 2023-2027,听(administered by Concordia University), co-supervision with Assoc Prof Arash Mohammadi.

Master Students:

  • Morgan Wong,听Master student, 2026-2027, (administered by 91色情片).
  • Anish Sinha,听Master student, 2026-2027, (administered by 91色情片).
  • Evan Watson,听听Master student, 2026-2027, (administered by 91色情片).
  • Hannah Veitch,听Master student, 2025-2026, (administered by 91色情片)

Previous supervision and mentoring:

  • Mehran Piran, PhD student, 2020-2024,听(administered by Monash University), co-supervision with Dr听Alex Combes.
  • Mahdieh Labani, PhD student, 2021-2025,听(administered by Macquarie University), co-supervision with Prof Amin Beheshti.
  • Ali Afrasiabi, PhD student, 2020-2024, (administered by 91色情片).
  • Ted Wong, PhD student, 2019-2025, (administered by University of Sydney), co-supervision with Dr. Boris Guennewig.
  • Callum Macphillamy, PhD student, 2020-2024, (administered by University of Adelaide), co-supervision with Dr Wai Yee Low.
  • Ning Liu, PhD student, 2019-2023, (administered by University of Adelaide), co-supervision with Dr James Breen.
  • Zahra Rahaei, PhD student, 2018-2023, (administered by SUT).
  • Sunday Offor,听PhD student, 2019-2023, (administered by 91色情片), co-supervision with Assoc Prof Irina Voineagu.
  • Yuheng Liang, Master by Research (MPhil), 2022-2024, (administered by 91色情片).
  • Sally Chen,听Master student, 2023-2024, (administered by 91色情片).
  • Michael De Francesco,听Master student, 2023-2024, (administered by 91色情片).
  • Gabrielle Younes,听Master student, 2023-2024, (administered by 91色情片).
  • Aryan Bhatla,听Master student, 2023-2024, (administered by 91色情片).
  • Ivy Lan Liu,听Master student, 2022-2023, (administered by 91色情片).
  • Aravind Venkateswaran,听Master student, 2022-2023, (administered by 91色情片).
  • Sascha Graham,听Master student, 2022-2023, (administered by 91色情片).
  • Weilin Wu, Master student, 2021-2022, (administered by 91色情片).
  • Anthony Xu, Master student, 2021-2022, (administered by 91色情片).
  • Hanwen Liang, MS student, 2019-2020, (administered by 91色情片).
  • Rasaa Ghavami, Master student, 2017-2019. Scholarship awarded for PhD degree from SUT.
  • Narges Rezaei, Honours student, 2018-2019. Scholarship awarded for Ph.D Degree from University of California, US.
  • Masroor Bayati, Honours student, 2017-2018. Scholarship awarded for Ph.D Degree from University of Toronto.
  • Hamed Dashti, Honours student, 2016-2018. Scholarship awarded for Master Degree from University of Zurich.
  • Mahshid Khatami, Master student, 2018-2020, (administered by SUT).
  • Fariba Raoufi, Master student, 2016-2017.

My Teaching

Biomedical Informatics (BIOM9540)

Biomedical Engineering (BIOM4951, BIOM4952, BIOM4953)