Min Wang

Research Associate

I am a Research Associate at the School of Engineering and Information Technology, University of New South Wales, Canberra, Australia. My current research focuses on bio-cryptography, an intersection of biometrics and applied cryptography, and other interests include pattern recognition, machine learning and information systems. I received my PhD in Computer Science from UNSW in 2020 with a dissertation on “Learning Brain Biometrics” which involves physiological signal processing and deep learning for representation extraction and biometric pattern recognition.

Book Chapters
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Wang M; Abbass H; Hu J, 2018, 'EEG-based biometrics for person identification and continuous authentication', in Awad AI; Fairhurst M (ed.), Information Security Foundations Technologies and Applications, IET, http://dx.doi.org/10.1049/PBSE001E_ch13
2018
Conference Papers
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Song W; Wang M; Wu Y; Chou CT; Hu J; Hu W, 2022, 'Poster: Towards behavior-independent in-hand user authentication on smartphone using vibration', in Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, ACM, pp. 844 - 846, presented at ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, http://dx.doi.org/10.1145/3495243.3558257
2022
Zhang Y; Wang M; Saberi M; Chang E, 2020, 'Towards Expert Preference on Academic Article Recommendation Using Bibliometric Networks', Singapore, presented at Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, 11 May 2020, http://dx.doi.org/10.1007/978-3-030-60470-7_2
2020
Zhang Y; Saberi M; Wang M; Chang E, 2019, 'K3S: Knowledge-Driven Solution Support System', in Proceedings of the AAAI Conference on Artificial Intelligence, Honolulu,Hawaii, USA, pp. 9873 - 9874, presented at Thirty-Third AAAI Conference on Artificial Intelligence AAAI 19, Honolulu,Hawaii, USA, 27 January 2019, http://dx.doi.org/10.1609/aaai.v33i01.33019873
2019
Wang M; Hussein A; Rojas RF; Shafi K; Abbass HA, 2019, 'EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction', in Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE, pp. 350 - 357, presented at 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628649
2019
Wang M; Hu J; Abbass H, 2019, 'Stable EEG Biometrics Using Convolutional Neural Networks and Functional Connectivity', in Australian Journal of Intelligent Information Processing Systems, Sydney, Australia, presented at 2019 - 26th International Conference on Neural Information Processing, Sydney, Australia, 12 December 2019 - 15 December 2019, http://ajiips.com.au/papers/V15.3/v15n3_23-30.pdf
2019
Abdelfattah SM; Abdelrahman GM; Wang M, 2018, 'Augmenting the Size of EEG datasets Using Generative Adversarial Networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489727
2018
El-Fiqi H; Wang M; Salimi N; Kasmarik KE; Barlow M; Abbass H, 2018, 'Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, pp. 1062 - 1069, presented at IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, 07 October 2018 - 10 October 2018, http://dx.doi.org/10.1109/SMC.2018.00188
2018
Wang M; Hu J; Abbass HA, 2018, 'Multi-scale Weighted Inherent Fuzzy Entropy for EEG Biomarkers', in IEEE International Conference on Fuzzy Systems, IEEE, Rio de Janeiro, Brazil, presented at 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janeiro, Brazil, 08 July 2018 - 13 July 2018, http://dx.doi.org/10.1109/Fuzz-Ieee.2018.8491544
2018
Wang M; Abbass HA; Hu J, 2016, 'Continuous Authentication Using EEG and Face Images for Trusted Autonomous Systems', in 2016 14th Annual Conference on Privacy, Security and Trust (PST), IEEE, Auckland, New Zealand, pp. 368 - 375, presented at Annual Conference on Privacy, Security and Trust, Auckland, New Zealand, 12 December 2016 - 14 December 2016, http://dx.doi.org/10.1109/PST.2016.7906958
2016
Wang M; Abbass H; Hu J; Merrick K, 2016, 'Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), China, pp. 90 - 101, presented at The 8th International Conference on Brain-Inspired Cognitive Systems, China, - , http://dx.doi.org/10.1007/978-3-319-49685-6_9
2016
Journal articles
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Zhang Y; Wang M; Zipperle M; Abbasi A; Tani M, 2023, 'RelRank: A relevance-based author ranking algorithm for individual publication venues', Information Processing and Management, vol. 60, pp. 103156 - 103156, http://dx.doi.org/10.1016/j.ipm.2022.103156
2023
Wang M; Wang S; Hu J, 2022, 'Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems', ArXiv, http://dx.doi.org/10.48550/arXiv.2203.16730
2022
Wang M; Yin X; Zhu Y; Hu J, 2022, 'Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey', Sensors, vol. 22, pp. 5111 - 5111, http://dx.doi.org/10.3390/s22145111
2022
Wang M; Wang S; Hu J, 2022, 'Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems', IEEE Transactions on Information Forensics and Security, pp. 1 - 1, http://dx.doi.org/10.1109/TIFS.2022.3204222
2022
Wang M; Wang S; Hu J, 2022, 'PolyCosGraph: A Privacy-Preserving Cancelable EEG Biometric System', IEEE Transactions on Dependable and Secure Computing, pp. 1 - 15, http://dx.doi.org/10.1109/TDSC.2022.3218782
2022
Quang NT; Turnbull BP; Wang M; Hu J, 2022, 'A Privacy-Preserving Biometric Authentication System With Binary Classification in a Zero Knowledge Proof Protocol', IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, vol. 3, http://dx.doi.org/10.1109/OJCS.2021.3138332
2022
Hussein A; Ghignone L; Nguyen T; Salimi N; Nguyen H; Wang M; Abbass HA, 2022, 'Characterization of Indicators for Adaptive Human-Swarm Teaming', Frontiers in Robotics and AI, vol. 9, pp. 745958, http://dx.doi.org/10.3389/frobt.2022.745958
2022
Zhang Y; Wang M; Saberi M; Chang E, 2022, 'Analysing academic paper ranking algorithms using test data and benchmarks: an investigation', Scientometrics, http://dx.doi.org/10.1007/s11192-022-04429-z
2022
El-Fiqi H; Wang M; Kasmarik K; Bezerianos A; TAN KC; Abbass H, 2021, 'Weighted Gate Layer Autoencoders', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2021.3049583
2021
Wang M; Kasmarik K; Bezerianos A; Tan KC; Abbass H, 2021, 'On the channel density of EEG signals for reliable biometric recognition', Pattern Recognition Letters, vol. 147, http://dx.doi.org/10.1016/j.patrec.2021.04.003
2021
Wang M; Hu J; Abbass HA, 2020, 'BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs', Pattern Recognition, vol. 105, pp. 107381 - 107381, http://dx.doi.org/10.1016/j.patcog.2020.107381
2020
Zhang Y; Wang M; Saberi M; Chang E, 2020, 'Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges', Scientometrics, http://dx.doi.org/10.1007/s11192-020-03683-3
2020
Wang M; El-Fiqi H; Hu J; Abbass HA, 2019, 'Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States', IEEE Transactions on Information Forensics and Security, vol. 14, pp. 3359 - 3372, http://dx.doi.org/10.1109/TIFS.2019.2916403
2019
Zhang Y; Wang M; Saberi M; Chang E, 2019, 'From Big Scholarly Data to Solution-Oriented Knowledge Repository', Frontiers in Big Data, http://dx.doi.org/10.3389/fdata.2019.00038
2019
Zhang Y; Wang M; Gottwalt F; Saberi M; Chang E, 2019, 'Ranking scientific articles based on bibliometric networks with a weighting scheme', Journal of Informetrics, vol. 13, pp. 616 - 634, http://dx.doi.org/10.1016/j.joi.2019.03.013
2019
Wang M; Abdelfattah S; Moustafa N; Hu J, 2018, 'Deep Gaussian Mixture-Hidden Markov Model for Classification of EEG Signals', IEEE Transactions on Emerging Topics in Computational Intelligence, http://dx.doi.org/10.1109/TETCI.2018.2829981
2018
Hussein A; Ghignone L; Nguyen T; Salimi N; Nguyen H; Wang M; Abbass HA, 2018, 'Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey', Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey, http://arxiv.org/abs/1803.03093v1
2018
  • Founder and coordinator of the ECR Intelligent Security Group - a special interest group on machine learning and cybersecurity (2022- now)
  • Committee member of the Early Career Academic Network (ECAN) UNSW Canberra (2022 - now)
  • Publicity Co-Chair of the 2020 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) (2020)

 

Organisational units
lensSchool of Engineering & Information Technology