Dr Kien Nguyen Thanh
Faculty of Engineering,
School of Electrical Engineering & Robotics
Personal details
Positions
- Senior Research Fellow
Faculty of Engineering,
School of Electrical Engineering & Robotics
Keywords
Machine Learning, Computer Vision, Artificial Intelligence, Biometrics, Surveillance, Semantic Segmentation, Remote Sensing, Physics-informed Machine Learning, Quantum Machine Learning, Medical Image Analysis
Research field
Artificial intelligence, Machine learning
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
Teaching
CAB420 Machine Learning PCB593 Digital Image Processing
Experience
Computer Vision Machine/Deep Learning Applications of Computer Vision and Deep Learning in Biometrics (Face and Iris identification), Surveillance, Medical Imaging, Human Detection and Tracking, Emotion Recognition, Action/Activity Recognition.
Publications
- Shipard, J., Wiliem, A., Thanh, K., Xiang, W. & Fookes, C. (2026). Zoom-shot: Fast, efficient and unsupervised zero-shot knowledge transfer from CLIP to vision encoders. Pattern Recognition, 172. https://eprints.qut.edu.au/260087
- Banerjee, C., Nguyen Thanh, K., Fookes, C. & Karniadakis, G. (2025). Physics-Informed Computer Vision: A Review and Perspectives. ACM Computing Surveys, 57(1). https://eprints.qut.edu.au/252084
- Nguyen, H., Nguyen, K., Pemasiri, A., Liu, F., Sridharan, S. & Fookes, C. (2025). AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification. Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1241–1251. https://eprints.qut.edu.au/260692
- Nguyen, K., Fernando, T., Fookes, C. & Sridharan, S. (2024). Physical Adversarial Attacks for Surveillance: A Survey. IEEE Transactions on Neural Networks and Learning Systems, 35(12), 17036–17056. https://eprints.qut.edu.au/244307
- Nguyen, K., Fookes, C., Sridharan, S. & Ross, A. (2023). Complex-valued Iris Recognition Network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1), 182–196. https://eprints.qut.edu.au/230669
- Li, F., Yigitcanlar, T., Nepal, M., Nguyen Thanh, K. & Dur, F. (2023). Machine Learning and Remote Sensing Integration for Leveraging Urban Sustainability: A Review and Framework. Sustainable Cities and Society, 96. https://eprints.qut.edu.au/239631
- Nguyen, K., Fookes, C. & Sridharan, S. (2020). Constrained Design of Deep Iris Networks. IEEE Transactions on Image Processing, 29, 7166–7175. https://eprints.qut.edu.au/209537
- Nguyen, K., Fookes, C. & Sridharan, S. (2020). Context from within: Hierarchical context modeling for semantic segmentation. Pattern Recognition, 105. https://eprints.qut.edu.au/200208
- Ahmedt Aristizabal, D., Denman, S., Nguyen Thanh, K., Sridharan, S., Dionisio, S. & Fookes, C. (2019). Understanding patients' behavior: Vision-based analysis of seizure disorders. IEEE Journal of Biomedical and Health Informatics, 23(6), 2583–2591. https://eprints.qut.edu.au/126909
- Nguyen Tien, D., Nguyen Thanh, K., Sridharan, S., Dean, D. & Fookes, C. (2018). Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition. Computer Vision and Image Understanding, 174, 33–42. https://eprints.qut.edu.au/121701
QUT ePrints
For more publications by Kien, explore their research in QUT ePrints (our digital repository).
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/k.nguyenthanh
Selected research projects
- Title
- Human-Machine Teaming in a Communications-denied Environment
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP250103634
- Start year
- 2025
- Keywords
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- Quantum-Classical Machine Learning for Real-time and Resilient Aerial and Ground Surveillance
PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes, Emeritus Professor Sridha Sridharan - Integrating AIoT for Smart City Development: Cybersecurity, Ethical Considerations, and Implementation Framework for Australian Local Governments
PhD, Associate Supervisor
Other supervisors: Professor Tan Yigitcanlar, Associate Professor Yue Xu - Robust Multimodal Learning for Remote Sensing Semantic Segmentation under Missing Modalities
PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes, Emeritus Professor Sridha Sridharan - Reconstructing 4D Group Events from Multiple Uncalibrated Cameras
PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes, Emeritus Professor Sridha Sridharan - Quantum Computing Solution and Post-Quantum Cybersecurity for Energy Network: Combinatorial Power Flow and Resilience
PhD, Associate Supervisor
Other supervisors: Associate Professor Yateendra Mishra, Dr Yuchen Zhang - Self-Supervised Neural Fields For Hyperspectral Learning
PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes, Adjunct Professor Peyman Moghadam, Emeritus Professor Sridha Sridharan - Deep Learning for Air quality from Space
PhD, Associate Supervisor
Other supervisors: Professor Clinton Fookes, Distinguished Professor Lidia Morawska, Dr Tharindu Fernando Warnakulasuriya - Hybrid Quantum-Classical Machine Learning for Reliable and Interpretable Neurological Disorder Analysis
PhD, Associate Supervisor
Other supervisors: Dr Harshala Gammulle, Professor Clinton Fookes, Emeritus Professor Sridha Sridharan, Dr Tharindu Fernando Warnakulasuriya - Adversarial Machine Learning Attacks on Industrial Control Systems
PhD, Associate Supervisor
Other supervisors: Associate Professor Yue Xu, Mrs Zahra Jadidi - Quantum-Enhanced Physics-Informed Neural Networks (QPINNs) for Medical PDE Modelling in Stroke Risk Assessment and Medical Imaging Analysis
PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes
Completed supervisions (Doctorate)
- Bridging Aerial and Ground Perspectives: Deep Learning Approaches for Cross-View Person Re-Identification (2026)
- Efficient Subnets for Scalable Onboard AI in Space (2026)
- Modelling Urban Heat Vulnerability Through Machine Learning and Remote Sensing (2025)
- Multimodal Image Correspondence (2022)
- White Blood Cells Classification Using Higher Order Spectra and L-Moments Invariant Features (2021)
- Computer Vision Based Smoke and Fire Detection for Outdoor Environments (2020)
- Finger Biometric System Using Bispectral Invariants and Information Fusion Techniques (2019)
- Multi-modal Analysis for the Automatic Evaluation of Epilepsy (2019)
Completed supervisions (Masters by Research)
Supervision topics
- Reinforcement learning for fair and ethical AI systems
- Efficient predictive models using physics-informed machine learning
- Digital twin in medical or sports context
- Physics-informed reinforcement learning for complex environments, using graph neural networks
- Quantum machine learning
- Physics-informed machine learning
- Sport AI
- Drone and satellite Artificial Intelligence
The supervisions listed above are only a selection.