PROF. DR. POR LIP YEE @ POR KHOON SUN
Department of Computer System &Amp; Technology
Faculty of Computer Science and Information Technology
porlipum.edu.myView CV | |
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Publons | |
Scopus Link | |
Biography | |
Lip Yee Por is a Full Professor at the Faculty of Computer Science and Information Technology, Universiti Malaya, Malaysia. A Senior Member of IEEE, he is a recognized expert in security and machine learning. His research interests include AI, deep learning, support vector machines (SVM), IoT, authentication, computer vision, blockchain, cryptography, steganography, and watermarking. He has authored over 100 peer-reviewed publications in reputable international journals and has secured more than RM 7 million in competitive research funding as Principal Investigator. Prof. Por’s impactful contributions have earned him numerous national and international awards, and he is consistently recognized as one of the top-rated lecturers at FCSIT. In addition to his research and teaching excellence, he serves as Associate Editor for Frontiers in Public Health, Frontiers in Computer Science, and the Malaysian Journal of Computer Science, as well as Guest Editor for Applied Sciences. He is also an Editorial Board Member for CMC-Computers, Materials & Continua. He has held key leadership roles in national and international conferences as Program Chair, Technical Chair, and Local Chair, and serves as an external academic assessor for academic programs at TARUC, MMU, HELP, and APU. To date, he has delivered more than 20 keynote and invited speeches at national and international conferences. |
Publication
Finance
Project Title | Progress | Status |
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A Secure Method to Resist Shoulder-surfing Attacks |
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on going |
Reduce Login Time And Prevent Shoulder-surfing Attacks Using Pass-string |
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on going |
1. Community Engagement for the Long Covid Care 2. Tele Medicine for Vulnerable People During Covid-19 Pandemic |
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end |
This information is generated from Research Grant Management System |
Image steganalysis using active learning and hyperparameter optimization
A systematic review of graphical password methods resistant to shoulder-surfing attacks
LLM-AE-MP: Web Attack Detection Using a Large Language Model with Autoencoder and Multilayer Perceptron
A dual-method approach using autoencoders and transductive learning for remaining useful life estimation
Por, L.Y., & Khan, A. A. (Eds.). (2024). Cryptography and Information Security . MDPI Books.
A Review on Recognition-Based Graphical Password Techniques