• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1993 …2022

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Personal profile


Dr. Man-Wai Mak joined the Department of Electronic and Information Engineering (EIE) at The Hong Kong Polytechnic University in 1993 as a Lecturer and is currently a Professor of EIE. Dr. Mak has been the leader of various subject areas, such as deep neural networks and deep learning, human-computer interaction, speech processing and recognition, distributed systems, and cloud computing. Dr. Mak has successfully supervised several Ph.D. students and researchers who have become scientists or postdocs in major research labs and renowned universities. Some examples are Microsoft, Tencent, National University of Singapore, Princeton University, University of Pennsylvania, and St. Jude Children's Research Hospital in Memphis, USA. He has authored more than 200 technical articles and books in speaker recognition, machine learning, bioinformatics, and biomedical engineering, including "Biometric Authentication: A Machine Learning Approach," Prentice-Hall, 2005; "Machine Learning for Protein Subcellular Localization Prediction," De Gruyter, 2015; and "Machine Learning for Speaker Recognition," Cambridge University Press, 2020. Dr. Mak served as a member of the IEEE Machine Learning for Signal Processing Technical Committee in 2005-2007 and a Technical Committee Member, IEEE Computation Intelligence Society, Intelligent Systems Applications in 2008. He has served as an associate editor of IEEE Trans. on Audio, Speech and Language Processing. Dr. Mak is currently an editorial board member of the Journal of Signal Processing Systems and IEEE Biometrics Compendium. He has also served as the Programme Co-Chair of ISCSLP and Area Chair of Interspeech 2014. He is currently the Interim Head of the department. His research interest includes speaker recognition, machine learning, biomedical engineering, and bioinformatics.

Research interests

  • Speaker recognition
  • Machine learning
  • Biomedical Engineering
  • Bioinformatics


  • Machine learning
  • Speech processing
  • Cloud computing

Education/Academic qualification

Higher Diploma in Electrical Engineering, Hong Kong Polytechnic

Bachelor of Engineering, Newcastle Upon Tyne Polytechnic

Doctor of Philosophy, University of Northumbria at Newcastle


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