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Dr Chaoran Huang

Dr Chaoran Huang

Postdoctoral Fellow

BEng, PhD

Engineering
Mineral and Energy Resources Engineering

is a Research Associate at the School of Minerals and Energy Resources Engineering, 91色情片 Sydney. He applies data science and machine learning to mine geomechanics research, aiming to improve operational safety and facilitate the digital transformation of the mining sector. Working alongside A/Prof. Chengguo Zhang and Prof. Ismet Canbulat, his research translates advanced data analytics into practical, industry-integrated solutions for ground control and operational decision-making.

He completed his PhD at the School of Computer Science and Engineering, 91色情片 Sydney, under the supervision of . While his earlier work concentrated on Service-Oriented Computing and IoT data analytics (collaborating closely with the group), his current focus bridges computer science and mining engineering to deliver data-driven tools for the resources sector. Further details are available at .

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Research Activities

  • ACARP Project (C34022), "A risk-based model for forecasting longwall face cavity development", Australian Coal Association Research Program.
  • Industry Project, "Digital Ground Control Planning", Anglo American.
  • Innovation Connections Grant (ICG002291), "Haulage Techno-Economic Assessment", Conveyor Manufacturers Australia Pty Limited.
  • Long Range/BAA Project, "Context-aware Intent Prediction for Human-Machine Cooperation Improvement", Office of Naval Research (US Department of Navy), 2019 - 2021.
  • ARC Linkage Project, "Context and Activity Recognition for Personalised Behaviour Recommendation", 2020 - 2022.

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Phone
+61 (02) 9385-9748
E-mail
chaoran.huang@unsw.edu.au
Location
K15 156
  • Journal articles | 2026
    Chen M; Zhang C; Huang C; Canbulat I, 2026, 'Mechanism-informed data-driven forecasting of roof cavities in longwall mining', International Journal of Rock Mechanics and Mining Sciences, 207,
    Journal articles | 2024
    Liang R; Huang C; Zhang C; Li B; Saydam S; Canbulat I, 2024, 'Data Diagram Design and Data Management for Visualisation and Analytics Fusion in The Mining Industry', Engineered Science, 32,
    Journal articles | 2024
    Liang R; Zhang C; Huang C; Li B; Saydam S; Canbulat I; Munsamy L, 2024, 'Multimodal data fusion for geo-hazard prediction in underground mining operation', Computers and Industrial Engineering, 193,
    Journal articles | 2023
    Altulyan M; Yao L; Kanhere S; Huang C, 2023, 'A blockchain framework data integrity enhanced recommender system', Computational Intelligence, 39, pp. 104 - 120,
    Journal articles | 2023
    Liang R; Huang C; Zhang C; Li B; Saydam S; Canbulat I, 2023, 'Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization', IEEE Access, 11, pp. 40608 - 40628,
    Journal articles | 2022
    Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2022, 'A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions', Computer Journal, 65, pp. 2098 - 2132,
    Journal articles | 2022
    Huang C; Yao L; Wang X; Sheng QZ; Dustdar S; Wang Z; Xu X, 2022, 'Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence', IEEE Internet Computing, 26, pp. 68 - 75,
    Journal articles | 2021
    Altulyan M; Yao L; Huang C; Wang X; Kanhere SS, 2021, 'Context-induced activity monitoring for on-demand things-of-interest recommendation in an ambient intelligent environment', Future Internet, 13,
    Journal articles | 2020
    Altulyan M; Yao L; Kanhere SS; Wang X; Huang C, 2020, 'A unified framework for data integrity protection in people-centric smart cities', Multimedia Tools and Applications, 79, pp. 4989 - 5002
    Journal articles | 2020
    Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2020, 'Software expert discovery via knowledge domain embeddings in a collaborative network', Pattern Recognition Letters, 130, pp. 46 - 53,
    Journal articles | 2018
    Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, 'Opinion fraud detection via neural autoencoder decision forest', Pattern Recognition Letters
    Journal articles | 2018
    Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, 'A Survey on Expert Recommendation in Community Question Answering', Journal of Computer Science and Technology, 33, pp. 625 - 653,
    Journal articles | 2018
    Yao L; Wang X; Sheng QZ; Benatallah B; Huang C, 2018, 'Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations', IEEE Transactions on Services Computing
    Journal articles |
    Zhang X; Yao L; Huang C; Gu T; Yang Z; Liu Y, 'DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves', ACM Transactions on Intelligent Systems and Technology (TIST)
  • Conference Papers | 2022
    Altulyan MS; Huang C; Yao L; Wang X; Kanhere S, 2022, 'Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 393 - 404,
    Conference Papers | 2021
    Altulayan MS; Huang C; Yao L; Wang X; Kanhere S, 2021, 'Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 37 - 49,
    Preprints | 2020
    Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2020, Recommender Systems for the Internet of Things: A Survey,
    Conference Papers | 2020
    Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, 'Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation', in arXiv preprint arXiv:2004.08068
    Preprints | 2020
    Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation,
    Conference Papers | 2020
    Huang C; Yao L, 2020, 'Active Object Estimation for Human-Robot Collaborative Tasks', Online / Bangkok, Thailand, presented at The 27th International Conference on Neural Information Processing, Online / Bangkok, Thailand, 18 November 2020 - 22 November 2020,
    Preprints | 2020
    Zhang X; Yao L; Huang C; Kanhere SS; Zhang D; Zhang Y, 2020, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding,
    Conference Papers | 2019
    Altulyan MS; Huang C; Yao L; Wang X; Kanhere S; Cao Y, 2019, 'Reminder Care System: An Activity-Aware Cross-Device Recommendation System', in International Conference on Advanced Data Mining and Applications, Springer, pp. 207 - 220, presented at ADMA, Springer, 21 November 2019 - 23 November 2019
    Conference Papers | 2019
    Chen X; Huang C; Zhang X; Wang X; Liu W; Yao L, 2019, 'Expert2Vec: Distributed Expert Representation Learning in Question Answering Community', in International Conference on Advanced Data Mining and Applications, Springer, pp. 288 - 301, presented at ADMA, Springer, 21 November 2019 - 23 November 2019
    Conference Papers | 2019
    Dong M; Yao L; Wang X; Benatallah B; Huang C, 2019, 'Similarity-Aware Deep Attentive Model for Clickbait Detection', in Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, pp. 56 - 69, presented at PAKDD, Springer, 14 April 2019 - 17 April 2019,
    Preprints | 2019
    Zhang X; Yao L; Huang C; Gu T; Yang Z; Liu Y, 2019, DeepKey: An EEG and Gait Based Dual-Authentication System,
    Preprints | 2018
    Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, Opinion Fraud Detection via Neural Autoencoder Decision Forest,
    Conference Papers | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, 'Expert recommendation via tensor factorization with regularizing hierarchical topical relationships', in Pahl C; Vukovic M; Yin J; Yu Q (eds.), International Conference on Service-Oriented Computing, Springer Nature, Springer, Cham, pp. 373 - 387, presented at 16th International Conference on Service-Oriented Computing (ICSOC), Springer, Cham, 12 November 2018 - 15 November 2018,
    Preprints | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships,
    Preprints | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2018, Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network,
    Preprints | 2018
    Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, A Survey on Expert Recommendation in Community Question Answering,
    Conference Papers | 2018
    Zhang S; Yao L; Ning X; Huang C; Xu X; Ou S, 2018, 'Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation', in International Conference on Web Services, Springer, pp. 246 - 260, Springer
    Conference Papers | 2018
    Zhang X; Yao L; Huang C; Wang S; Tan M; Long G; Wang C, 2018, 'Multi-modality Sensor Data Classification with Selective Attention', in Lang J (ed.), the 27th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, SWEDEN, Stockholm, pp. 3111 - 3117, presented at Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, SWEDEN, Stockholm, 13 July 2018 - 19 July 2018,
    Conference Papers | 2017
    Huang C; Yao L; Wang X; Benatallah B; Sheng QZ, 2017, 'Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow', in Web Services (ICWS), 2017 IEEE The 24th International Conference on
    Conference Papers | 2017
    Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, 'Intent recognition in smart living through deep recurrent neural networks', in International Conference on Neural Information Processing, Springer, pp. 748 - 758, Springer
    Preprints | 2017
    Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks,

My Research Supervision

1听 PhD student currently joint supervising

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My Teaching

Course admin for COMP9312 in Term3, 2026

Lab demonstrator and Teaching associate for MERE8810, Term 3, 2026

Lab demonstrator and Teaching associate for MERE8810, Term 3, 2025

Assessor for听Research Thesis B in Term 1, 2019

Course admin & lab demonstrator for COMP9321 in Term 1, 2019

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