Research activity per year

Personal profile


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
  • Human-centered Computing and Human Factors
  • Brain-computer Interfaces
  • AI in Cyber-physical Systems
  • AI in Information Management

My Grants

  • Lead CI, Privacy-preserving Brain-Computer Interfaces, funded by University of Canberra, 2024
  • 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 Digiral 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 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 Industrial Informatics
  • Reviewer, IEEE Transactions on Cybernetics
  • Reviewer, IEEE Transactions on Human-Machine Systems
  • Reviewer, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • 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, IEEE Transactions on Emerging Topics in Computational Intelligence
  • Reviewer, Scientific Reports
  • Reviewer, IEEE Access

My Areas of Supervision (HDR)

  • Privacy and information security
  • Machine learning and pattern recognition
  • Biometrics
  • Brain-computer interfaces
  • Human-centred computing
  • Computational intelligence in human-computer interaction

My Teaching

  • 11482/11512 Pattern Recognition and Machine Learning (UG&PG) - UC, S2 2024
  • 11376/8890 Computer Vision and Image Analysis (UG&PG) - UC, S1 2024
  • 9826/6797 Research Methodology (UG&PG) - UC, S1 2024
  • ZEIT1102 Introduction to Programming (UG) - UNSW, S2 2022
  • ZEIT3112 Special Topic 2 (UG) - UNSW, S2 2022
  • ZEIT3118 IT Project 1 (UG) - UNSW, S1 2022
  • ZEIT4226 Digital Image Processing (UG) - UNSW, S2 2021

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):

  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

PhD, Brain Biometrics, University of New South Wales

External positions

Adjunct Lecturer , University of New South Wales



Dive into the research topics where Min Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or