Projects per year
Personal profile
Biography
Dr. Min (Maggie) Wang is a researcher in computational intelligence and human-centred computing. She holds a PhD in Computer Science from the University of New South Wales, focusing on brain biometrics and pattern recognition. Before joining UC, she worked as a postdoctoral research fellow at UNSW, contributing to projects in human-machine interaction and biometric security. Her research interest centers around deep learning for signal processing, pattern recognition and information integration, and covers various technological contexts such as brain-computer interfaces, human-computer interaction, biometrics and information systems. Meanwhile, She is actively engaged in research in information security, AI privacy and security, and AI for cyber-physical systems. Here's my Google Scholar Profile.
My Research Interests
- Deep Learning and Pattern Recognition
- Biometrics, Privacy and Security
- Brain-computer Interfaces
- AI and Robotic Perception
- Information Systems
- Trustworthy AI and Its Applications (incl. social analysis, power systems, robotics, cyber-physical systems)
My Grants
- Co-CI, Health Monitoring and Anomaly Detection In Li-ion Batteries via Trustworthy AI, funded by ACT Government, Energy Innovation Fund (662,010 AUD), 2025-2027
- Lead CI, Privacy-preserving Brain-Computer Interfaces, funded by University of Canberra (14,501 AUD), 2024-2025
- Co-CI, Li-ion Battery Fire Risk Mitigation Using Deep Learning Approach, funded by UNSW Canberra (49,000 AUD), 2023-2024
- Lead CI, Smart Grid Vulnerability and Defense Under Cascading Failure Attacks, funded by UNSW Digital Grid Futures Institute (25,000 AUD), 2023
- Lead CI, A Novel Deep Learning-based Algorithm for Online Classification, Identification, and Prediction of Cascading Cyber-physical Failures in Smart Grids, funded by UNSW Research (19,142 AUD), 2023
- Co-CI, Ethically Aligned AI Cyberbullying Detection Tools, funded by UNSW (23,110 AUD), 2023
My Awards
- 2024 Best Paper Award (Runner-up) in the 20th International Conference on Advanced Data Mining and Applications (ADMA 2024)
- 2024 Excellent Paper Award in the 20th IEEE International Conference on e-Business Engineering (ICEBE 2024)
- 2023 UNSW DGFI Seed Funding Award
My Research Activities
- Associate Editor (2024 - Current), IEEE Transactions on Artificial Intelligence (TAI)
- Guest Editor, Sensors Welcome to submit your papers to Special Issue - Sensor Technologies and Intelligent Computing for Biometric Signal Analysis and Pattern Recognition
- Topic Editor, Frontiers in Neuroinformatics Welcome to submit your papers to Research Topic - Addressing Large Scale Computing Challenges in Neuroscience: Current Advances and Future Directions
- Guest Editor, Sensors Welcome to submit your papers to Special Issue - Advances in Biometrics: Sensors, Algorithms, and Systems
- Reviewer, IEEE Transactions on Information Forensics and Security
- Reviewer, IEEE Transactions on Dependable and Secure Computing
- Reviewer, IEEE Transactions on Cybernetics
- Reviewer, IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Reviewer, IEEE Transactions on Industrial Informatics
- Reviewer, IEEE Transactions on Human-Machine Systems
- Reviewer, ACM Computing Surveys
- Reviewer, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
- Reviewer, IEEE Transactions on Cognitive and Developmental Systems
- Reviewer for other Q1 journals in the field of AI, computational intelligence, and information systems
My Areas of Supervision (HDR)
- Information security
- Machine learning and pattern recognition
- AI and robotic perception
- Biometrics
- Brain-computer interfaces
My Teaching
- 11482/11512 Pattern Recognition and Machine Learning (UG&PG) - UC
- 11376/8890 Computer Vision and Image Analysis (UG&PG) - UC
- 9826/6797 Research Methodology (UG&PG) - UC
- ZEIT1102 Introduction to Programming (UG) - UNSW
- ZEIT3112 Special Topic 2 (UG) - UNSW
- ZEIT3118 IT Project 1 (UG) - UNSW
- ZEIT4226 Digital Image Processing (UG) - UNSW
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Brain Biometrics, University of New South Wales
External positions
Adjunct Lecturer , University of New South Wales
2024 → 2027
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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Online Health Monitoring and Anomaly Detection in Li-Ion Batteries via Trustworthy AI
Mo, H. (CoI), Li, C. (CoI), Tian, F. (CoI), Young, J. (CoI), Peng, Z. (CoI), Zhang, Y. (CoI), Petersen, I. (CoI), Dong, D. (CoI), Sun, Q. (CoI) & WANG, M. (CI)
1/04/25 → 16/06/27
Project: Research
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A B-Spline Function Based 3D Point Cloud Flattening Scheme for 3D Fingerprint Recognition and Identification
Askarin, M. M., Hu, J., Wang, M., Yin, X. & Jia, X., 2025, In: IEEE Open Journal of the Computer Society. 6, p. 1587-1598 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A B-Spline Function Based 3D Point Cloud Unwrapping Scheme for 3D Fingerprint Recognition and Identification
Askarin, M. M., Hu, J., Wang, M., Yin, X. & Jia, X., 2025, In: IEEE Open Journal of the Computer Society. 6, p. 480-490 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
An integration framework based on deep learning and CFD for early detection of lithium-ion battery thermal runaway
Li, A., Abpeikar, S., Wang, M., Frankcombe, T. & Ghodrat, M., 2025, In: Applied Thermal Engineering. 274, p. 1-10 10 p., 126460.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)69 Downloads (Pure) -
A Unified Deep Learning-Based EEG Biometric Authentication System for Cross-Session Scenarios
Gong, Y., Wang, M., Zhang, Y., Zhang, W. & Pang, S., 2025, Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Proceedings. Sheng, Q. Z., Zhang, X., Wu, J., Ma, C., Dobbie, G., Jiang, J., Zhang, W. E., Manolopoulos, Y. & Mansoor, W. (eds.). Springer, p. 48-62 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15390 LNAI).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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Gate Control Mechanisms of Autoencoders for EEG Signal Reconstruction
Li, K., El-Fiqi, H. & Wang, M., 2025, In: Sensors. 25, 11, p. 1-23 23 p.Research output: Contribution to journal › Article › peer-review
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21st Annual International Conference on Privacy, Security, and Trust
Wang, M. (Member of programme committee)
2024Activity: Participating in or organising an event › Organising a conference, workshop, ...
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IEEE Transactions on Artificial Intelligence (Journal)
Wang, M. (Member of editorial board)
2024 → 2025Activity: Publication peer-review and editorial work › Editorial work
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Sensors (Journal)
Wang, M. (Editor)
2023 → 2024Activity: Publication peer-review and editorial work › Editorial work
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Frontiers in Neuroinformatics (Journal)
Wang, M. (Editor)
2023 → 2024Activity: Publication peer-review and editorial work › Editorial work
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2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Wang, M. (Member of programme committee)
2020Activity: Participating in or organising an event › Organising a conference, workshop, ...