Keynote Speakers
Professor Dr Mohd Shafry Mohd Rahim
Chair of Institute for Life Ready Graduate, University Technology Malaysia (UTM), Skudai, Johor, Malaysia.
Mohd Shafry Mohd Rahim is a Professor of Image Processing at School of Computing, Faculty of Engineering, University Technology Malaysia, Skudai, Johor, Malaysia. Presently, he has appointed as Chair of Institute for Life Ready Graduate, University Technology Malaysia (UTM iLeaGue) from Jun 2020 and also as a Research Fellow of Media and Game Innovation Centre of Excellence (MaGICX), Institute of Human-Centred Engineering (iHuMEN), University Technology Malaysia. Besides, he is member of the Board of Governance (BOG), SPACE College since 2014. He received his Diploma in Computer Science (1997), B.Sc.of Computer Science majoring in Computer Graphics (1999), and MSc. Of Computer Science (2004) from the University Technology Malaysia (UTM), Malaysia and his PhD of Spatial Modelling (2008) from University Putra Malaysia (UPM), Malaysia.
Associate Professor Dr. Por Lip Yee
IEEE Senior Member
Universiti Malaya
Lip Yee received his Ph.D. from University of Malaya, Malaysia under the supervision of Prof. Abdullah bin Gani in 2012. Currently, he is an Assoc. Professor at the Department of System and Computer Technology, Faculty of Computer Science and Information Technology, University of Malaya, Malaysia. He is also a senior member of IEEE.
Lip Yee and his team were the first few pioneers who received IRPA, E-Science, FRGS, ERGS, PRGS, HIR and IIRG grants. He was the first person who managed to secure 2 E-Science funds with the role of PI in 2008. He was also the first person at the FCSIT who managed to secure the PRGS and ERGS grants.
Lip Yee has published more than 70 academic papers in respectable journals. He was the first few pioneers who managed to publish within top 1% ranking ISI journals. He received a very good number of citations in Web of Science (H-index :17, 1113 citations), Scopus (H-index: 19, 1400 citations), google scholars (H-index:24, 2204 citations) databases.
Lip Yee was appointed to the Editorial Board of Digital Public Health. He is currently an Associate Editor for Frontiers in Public Health (JCR2021-Q1) and Frontiers in Computer Science (JCR2021-Q4), as well as the Malaysian Journal of Computer Science (JCR2021-Q4). He also serves as a reviewer for several high-quality journals.
In general, his research interests are neural network (e.g. supervised and unsupervised learning methods such as support vector machine, extreme learning machine), machine learning, blockchain, bioinformatics (e.g. biosensors, pain research), computer security (e.g. information security, steganography, authentication (graphical password)), IoT, grid computing, and e-learning framework.
Dr Ming Yan
Agency for Science, Technology and Research (A*STAR), Singapore
Ming Yan is a Senior Scientist at Centre of Frontier AI Research (CFAR), Agency for Science Technology and Research(A*STAR), Singapore. He is the princle investigator (PI) or Co-PI in several core research projects, and served as the Young Associate Editor in Big Data Mining and Analytics journal. He has obtained several paterns in medical AI, and published several papers on ACL, AAAI, KBS, Neurocomputing, etc. Dr. Yan received his Ph.D. degree from Sichuan University China in 2019, and he was a visiting Ph.D. to Georgia State University in 2018. His research interests include medical image analysis, neural networks, and natural language processing.
Assistant Professor Ts Dr Ku Chin Soon
Universiti Tunku Abdul Rahman, Malaysia
Chin Soon Ku received a PhD from the University of Malaya, Malaysia, in 2019. Currentlyan assistant professor in the Department of Computer Science, University of Tunku AbdulRahman, Malaysia, his current research interests including AI techniques (such as geneticalgorithm), computer vision, decision support tools, graphical authentication (authentication,picture-based password, graphical password), machine learning, deep learning, speechprocessing, natural language processing and unmanned logistics fleets. He has publishedpapers on graphical password methods, including techniques to prevent shoulder-surfingattacks and improve password security. Additionally, he has contributed to research oninformation security, particularly in the context of chatbots and cryptography. He hasexplored techniques, features, and applications related to mobile phone data, including its usein crime applications and surveys of mobile phone data. In addtion, he has worked onimproving optimization algorithms for various applications, such as optimal allocation andscheduling of wind turbine and electric vehicle parking lots, and optimal design of hybridenergy systems. He has conducted research on equity forecasting and stock marketpredictions, including the use of long short-term memory methods and dynamic indicators.