91É«Ç鯬

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,Ìý91É«Ç鯬 Sydney, 2019.
  • Post-Doctoral: Harry Perkins Institute of Medical Research, UWA Australia
  • Director of 91É«Ç鯬 BioMedical Machine Learning Laboratory (BML), 2020-present.
    Ìý
Engineering
Biomedical Engineering

Dr Rokny (PhD, 91É«Ç鯬 Sydney, 2019) is the Director of 91É«Ç鯬 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. HeÌýsupervises 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 40ÌýGoogle 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, 91É«Ç鯬 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 91É«Ç鯬 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’s 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
91É«Ç鯬 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 inÌýMachine Learning: A Focus onÌýGenetic Network Programming, Its Variants, andÌýApplications', 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 ofÌýSchizophrenia inÌýEEG 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 fromÌýContextualized 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. 1 - 12,
    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,
    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; Abeldaño Zuñiga 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, 1990–2023: 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, 2026, 'Comprehensive evaluation of ACMG/AMP-based variant classification tools', Bioinformatics, 42,
    Journal articles | 2026
    Green NFO; Sutton GJ; Pérez-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’s 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 β-Propeller Destabilization: Novel Variant, Phenotype and Diagnostic Implications in Tooth Agenesis', International Dental Journal, 76,
    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
    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, 2026, 'Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet Infectious Diseases, 26, pp. 343 - 361,
    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,
    Journal articles | 2025
    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
    Haeuser E; Byrne S; Nguyen J; Raggi C; McLaughlin SA; Bisignano C; Harris AA; Smith AE; Lindstedt PA; Smith G; Herold SJ; Nesbit OD; Noyes T; Shalev N; Olana LT; Aalipour MA; Aalruz H; Abbasifard M; Abbaspour F; Abbastabar H; Elhafeez SA; Abdallah EM; Abdel-Hameed R; Abdelkader A; Abd-Elsalam S; Abdisa WM; Abdoun M; Abdous A; Abdulah DM; Abdullahi A; Abdullahi A; Abdul-Rahman T; Abdykerimova K; Abedi A; Abejew AA; Zuñiga RAA; Abidi SH; Abiodun O; Kasem RA; Aboagye RG; Abolhassani H; Abonie US; Aborode AT; Abourashed NM; Abouzid M; Abramov D; Abreu LG; Abtahi D; Farha RKA; Abubakar B; Abu-Gharbieh E; Abukhadijah HJ; Aburuz S; Acharya AB; Achore M; Acuna JM; Adal O; Adams LC; Adamu AA; Adebisi TA; Adedia D; Adedokun KA; Adegbile OE; Adegboye OA; Adegoke NA; Adeleke OT; Adetunji JB; Adhana MT; Adhikary RK; Adiga U; Adnan M; Adnani QES; Adoma PO; Adzigbli LA; Affinito G; Afolabi AA; Afolabi HA; Afolabi RF; Afzal S; Agampodi SB; Agarwal DM; Aghajanian S; Arriagada CEA; Agyemang-Duah W; Ahadi M; Ahmad A; Ahmad D; Ahmad K; Ahmad R; Ahmad S; Ahmad T; Ahmed A; Ahmed H; Ahmed MS; Ahmed MB; Ahmed M; Ahmed N; Ahmed SA; Ajakwe SO; Ajala DE; Lin J; Alinejad-Rokny H; Perez Chacon G; He W-Q; Peprah P; Bhaskar S; Saddik B, 2025, 'Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023', Lancet, 406, pp. 235 - 260,
    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–Based 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
    Naghavi M; Kyu HH; Bhoomadevi A; Aalipour MA; Aalruz H; Ababneh HS; Abafita BJ; Abaraogu UO; Abbafati C; Abbasi M; Abbaspour F; Abbastabar H; Abd Al Magied AHA; Elhafeez SA; Abdalla AN; Abdalla MA; Abdallah EM; Abdeeq BA; Abdel Razeq NMI; Abdelgalil AA; Abdel-Hameed R; Abdelmasseh M; Abdelnabi M; Abdel-Rahman WM; Abdous A; Abdrabou MM; Aziz JMA; Abdulah DM; Abdullahi A; Abdul-Rahman T; Getahun HA; Abedi A; Abedi A; Abedi P; Abejew AA; Zuñiga RAA; Abid SUA; Abidi SH; Abie A; Abiodun OO; Aboagye RG; Abohashem S; Abolhassani H; Abonie US; Abourashed NM; Abouzid M; Abramov D; Abreu LG; Abtahi D; Farha RKA; Abuadas FHA; Abubakar AK; Abu-Elala N; Abu-Gharbieh E; Abuhammad S; Abuhelwa AY; Abukhadijah HJ; Abu-Rmeileh NME; Aburuz S; Abushanab D; Accrombessi MMK; Acharya AB; Acharya A; Adal O; Adams LC; Adamu AA; Addo IY; Adeagbo OA; Adebisi TA; Adedeji IA; Adedokun KA; Adegbile OE; Adegoke NA; Adeleke OT; Adema BG; Aden B; Adesina IA; Adesina MA; Adetunji JB; Adewuyi HO; Adeyeoluwa TE; Adhana MT; Adhikary RK; Adiga U; Parvar TA; Adnan M; Adnani QES; Adoma PO; Adzigbli LA; Adzrago D; Affinito G; Afifi AM; Afoakwah C; Afolabi AA; Afolabi RF; Afrăsânie VA; Afzal S; Agafari GB; Agampodi SB; Agampodi TC; Mitra S; Schutte A; Lin J; Sachdev P; Dai-Keller Z; Sundstorm J; Boufous S; Degenhardt L; Alinejad-Rokny H; Onie S; Maulik PK; Okeke S; Cullen P; Haghdoost F; Pesudovs K; Peden A; Keshri V; Akbarialiabad H; Roehr S; Perez Chacon G; Hunter J; Lennon M; Xu L; Song W; Mitchell P; Bhaskar S; Peprah P; Jha V; Saddik B; Ye P, 2025, 'Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023', Lancet, 406, pp. 1811 - 1872,
    Journal articles | 2025
    Pushpakumara B; Becirovic R; van Dorst J; Coffey M; Halim J; Beheshti B; Argha A; Alinejad-Rokny H; Ooi C, 2025, '16 Artificial intelligence integrating gut microbiome multi-omics to predict clinical outcomes in children with cystic fibrosis', Journal of Cystic Fibrosis, 24, pp. S9 - S9,
    Journal articles | 2025
    Schumacher AE; Zheng P; Barber RM; Bhoomadevi A; Aalipour MA; Aalruz H; Ababneh HS; Abaraogu UO; Abbafati C; Abbas N; Abbasifard M; Abbaspour F; Abd Al Magied AHA; Elhafeez SA; Abdalla MA; Abdallah EM; Abdel Razeq NMI; Abdel-Hameed R; Abdel-Rahman WM; Abd-Elsalam S; Abdelwahab OA; Abdi P; Abdollahi A; Abdoun M; Abdous A; Abdulah DM; Abdulkader RS; Abdullahi A; Abdulraheem AS; Getahun HAA; Abedi P; Abedi A; Abejew AA; Zuñiga RAA; Abidi SH; Abie A; Abiodun O; Abiodun OO; Aboagye RG; Abohashem S; Abonie US; Abourashed NM; Abouzid M; Abramov D; Abreu LG; Abtahi D; Farha RKA; Abuadas FHA; Abubakar AK; Abubakar B; Abu-Gharbieh E; Abuhammad S; Abuhelwa AY; Abukhadijah HJ; Aburuz S; Abushanab D; Zaid AA; Acharya AB; Achore M; Acuna JM; Adair T; Adams LC; Adebayo OM; Adebisi TA; Adedia D; Adedokun KA; Adegbile OE; Adegoke NA; Adeleke OT; Adesina MA; Adesina IA; Adetokunboh OO; Adeyeoluwa TE; Adhana MT; Adhikari K; Adhikary RK; Adiga U; Parvar TA; Adnan M; Adnani QES; Adzigbli LA; Adzrago D; Affinito G; Afolabi AA; Afolabi RF; Afzal S; Agafari GB; Aggarwal N; Aghaalikhani M; Aghajanian S; Aghamir SMK; Agide FD; Agoi MD; Sobrinho CA; Agrawal A; Agyemang-Duah W; Ahinkorah BO; Ahmad R; Ahmad D; Ahmad F; Mitra S; Schutte A; Arnlov J; Lin J; Sachdev P; Sitas F; Feng X; Boufous S; Degenhardt L; Alinejad-Rokny H; Onie S; Biswas RK; Maulik PK; Okeke S; Haghdoost F; Peden A; Akbarialiabad H; Roehr S; Xu L; Vella A; Mitchell P; Bhaskar S; Peprah P; Saddik B; Ye P; Sheikh A, 2025, 'Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023', Lancet, 406, pp. 1731 - 1810,
    Journal articles | 2025
    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; Adão 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, 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; García DL; Chen Z; Acharya UR; Gorriz JM, 2024, 'Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023', 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,
    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,
    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-Páramo 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; Göttgens B; Alinejad-Rokny H; Wong JWH; Pimanda JE, 2023, 'Genome-wide transcription factor–binding 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,
    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; Bessière 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,
    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; Bessière 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’UTR 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. 36–45 (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. 749–757 (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,
    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; 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,
    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,
    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 Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, pp. 12781 - 12796, presented at Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, - ,
    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,
    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, pp. 72484 - 72511
    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 forÌýChinese Medical Benchmark withÌýCollective Instructions inÌýHealthcare', 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
    Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw S-T; Celler BG; Marks GB, 2024, Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review (Preprint),
    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
    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, 2024, PersonaMath: Boosting Mathematical Reasoning via Persona-Driven Data Augmentation,
    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
    Truong P; Shen S; Joshi S; Islam MI; Zhong L; Raftery M; Afrasiabi A; Alinejad-Rokny H; Nguyen M; Zou X; Bhuyan GS; Sarowar C; Ghodousi E; Stonehouse O; Mohamed S; Toscan C; Connerty P; Kakadia P; Bohlander S; Michie K; Larsson J; Lock R; Walkley C; Thoms J; Jolly C; Pimanda J, 2024, Genome-Wide CRISPR-Cas9 Screening Identifies a Synergy between Hypomethylating Agents and SUMOylation Blockade in MDS/AML,
    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,
    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; García 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
    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’s 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; Göttgens 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
    Nasab RZ; Ghamsari MRE; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2022, Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View,
    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’UTR 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,

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).
  • 91É«Ç鯬-Mahidol Joint Seed Grant, (CIA, Nov 2025, $20K).
  • Australia's Economic Accelerator, (CIB, March 2025, $200K).
  • GESA Paediatric Research Grant (CIB, Nov, 2024)
  • 91É«Ç鯬 GRIP Award (CIA, Nov, 2024)
  • 91É«Ç鯬-SJTU Collaborative Research Grant, (CIA, Nov, 2024)
  • Trustworthy Digital Society Grant, (CIA, Oct, 2024)
  • Garvan Cellular Genomics Futures Institute Award (CIA, Sep, 2024).
  • 91É«Ç鯬 Scientia Program Fellowship (variation award) (sole CI), ($800K, Sep 2023).
  • CCFA LITWIN IBD Pioneers Program Grant (leading CIB),Ìý($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 – sole CI), ($462K)
  • The Minor Research Equipment Grant-in-Aid Program Fund (sole CI), 91É«Ç鯬 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 91É«Ç鯬
  • 91É«Ç鯬 Cellular Genomics Futures Institute grant (CIB), in collab with Garvan Institute, May 2020, ($50K)
  • 91É«Ç鯬 Cellular Genomics Futures Institute grant (CIC), in collab with 91É«Ç鯬 BABS, May 2020, ($50K)
  • Highly competitive tenure-track 91É«Ç鯬 Scientia Fellowship Program (sole CI), 91É«Ç鯬, Oct 2019, ($680k)
  • Academic Start-up Funding (sole CI), Faculty of Engineering, 91É«Ç鯬, 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 Québec Santé (FRQS) (sole CI), Oct 2019, ($90K)
  • MERIT award for NHMRC Investigator Grant Application (sole CI), WA Dept of Health, Sep 2019, ($50K)

Ìý

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

  • ·ÌýÌýÌýÌýÌýMillennium Prize for Outstanding EMCR, Lorne Genome, Feb 2026.
  • ·ÌýÌýÌýÌýÌýAdjunct Research Scientist, CSIRO, Aug 2022-2023
  • ·ÌýÌýÌýÌýÌýHonorary Lecturer Fellow, University of Macquarie, Oct 2020-2023
  • ·ÌýÌýÌýÌýÌýTravel support award from Institute for Research in Fundamental Sciences, Iran, invited speaker, ($1.9K), Feb 2020
  • ·ÌýÌýÌýÌýÌýHealth Data Analytics Program Leader, AI-enabled Processes (AIP) Research Centre, Dec 2019-curent
  • ·ÌýÌýÌýÌýÌýMBSJ2019 (42nd Annual Meeting of the Molecular Biology) Travel support award, Japan, ($1K), Dec 2019
  • ·ÌýÌýÌýÌýÌýRIKEN-HUGO award for best oral presentation in Human Genome Meeting 2019, South Korea, ($0.2K), Oct 2019
  • ·ÌýÌýÌýÌýÌýHighly competitive tenure-track 91É«Ç鯬 Scientia Fellowship Program award in Aug 2019 ($680K)
  • ·ÌýÌýÌýÌýÌýVice-chancellor fellowship award from RMIT, ($350K), May 2019 (declined in favour of 91É«Ç鯬 Scientia Program).
  • ·ÌýÌýÌýÌýÌýHDR conference support award from 91É«Ç鯬 Sydney, ($3K), Jul 2015
  • ·ÌýÌýÌýÌýÌýTravel support award from University of Tehran as invited speaker, Tehran, ($2K), Feb 2015
  • ·ÌýÌýÌýÌýÌýPh.D scholarship from 91É«Ç鯬 Sydney, ($87.5K for 3.5 years), Mar 2013
  • ·ÌýÌýÌýÌýÌýTop-up scholarship from the faculty of medicine, 91É«Ç鯬 Sydney, ($30K for 3 years), Mar 2013
  • ·ÌýÌýÌýÌýÌýPh.D Scholarship award from The University of Newcastle, Australia, Jul 2012
  • ·ÌýÌýÌýÌýÌýTravel award from Faculty of Engineering, The University Newcastle, Australia, ($1K), Jul 2012
  • ·ÌýÌýÌýÌýÌýGovernment scholarships for Bachelor and Master degrees, (tuition fee waived)
  • ·ÌýÌýÌýÌýÌýDean’s award as ranked 1 student (out of 700 Master students), Science and Research University of Tehran, Sep 2010

Dr Rokny’s 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,Ìýclassification, 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).ÌýThe move to 91É«Ç鯬 Biomedical Engineering school has allowed him to translate his engineering and medicalÌýresearch 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
  • 91É«Ç鯬 Post-Graduate Research Scholarship for international students,
  • 91É«Ç鯬 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-policyÌý

My Research Supervision

Ìý

PhD &ÌýMPhil Students:

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

Ìý

Master Students:

  • Morgan Wong,ÌýMaster student, 2026-2027, (administered by 91É«Ç鯬).
  • Anish Sinha,ÌýMaster student, 2026-2027, (administered by 91É«Ç鯬).
  • Evan Watson,ÌýÌýMaster student, 2026-2027, (administered by 91É«Ç鯬).
  • Hannah Veitch,ÌýMaster student, 2025-2026, (administered by 91É«Ç鯬)

Ìý

Previous supervision and mentoring:

  • Mehran Piran, PhD student, 2020-2024,Ìý(administered by Monash University), co-supervision with DrÌýAlex Combes.
  • Mahdieh Labani, PhD student, 2021-2025,Ìý(administered by Macquarie University), co-supervision with Prof Amin Beheshti.
  • Ali Afrasiabi, PhD student, 2020-2024, (administered by 91É«Ç鯬).
  • 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,ÌýPhD student, 2019-2023, (administered by 91É«Ç鯬), co-supervision with Assoc Prof Irina Voineagu.
  • Yuheng Liang, Master by Research (MPhil), 2022-2024, (administered by 91É«Ç鯬).
  • Sally Chen,ÌýMaster student, 2023-2024, (administered by 91É«Ç鯬).
  • Michael De Francesco,ÌýMaster student, 2023-2024, (administered by 91É«Ç鯬).
  • Gabrielle Younes,ÌýMaster student, 2023-2024, (administered by 91É«Ç鯬).
  • Aryan Bhatla,ÌýMaster student, 2023-2024, (administered by 91É«Ç鯬).
  • Ivy Lan Liu,ÌýMaster student, 2022-2023, (administered by 91É«Ç鯬).
  • Aravind Venkateswaran,ÌýMaster student, 2022-2023, (administered by 91É«Ç鯬).
  • Sascha Graham,ÌýMaster student, 2022-2023, (administered by 91É«Ç鯬).
  • Weilin Wu, Master student, 2021-2022, (administered by 91É«Ç鯬).
  • Anthony Xu, Master student, 2021-2022, (administered by 91É«Ç鯬).
  • Hanwen Liang, MS student, 2019-2020, (administered by 91É«Ç鯬).
  • 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)