Invited Speakers

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Assoc. Prof. Hum Yan Chai

Universiti Tunku Abdul Rahman, Malaysia

HUM YAN CHAI received his B.Eng (Hons) degree and Ph.D degree in Biomedical Engineering from Universiti Teknologi Malaysia (UTM), Skudai, Malaysia in 2013. He is currently serving as an associate professor in the Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman (UTAR). Before joining the academia, he served as a senior engineer in Mimos Berhad, a national R&D centre for Malaysia focusing in generating computer vision solutions that enable the Government to deliver better services, and the industries to achieve continued growth. He is a registered Chartered Engineer (UK), Professional Engineer (MY) and senior member of IEEE. His current research interests are image processing, artificial intelligence, machine learning, signal processing and medical image analysis. He authored or co-authored more than 50 papers published in international/national journals and conferences. He has been granted more than 20 patents as well as software rights. He has been serving in IET Image Processing, Computational Neuroscience and Computing, Frontiers in Public Health, Frontiers in Pharmacology, Journal of healthcare engineering, Multimedia Tools and Applications as academic editor.

 

Assoc. Prof. Md. Kafiul Islam

Independent University, Bangladesh

Dr. Md Kafiul Islam has received his B.Sc. in EEE from Islamic University of Technology (IUT), Gazipur, Bangladesh in 2008 and completed his PhD from Dept. of ECE, NUS, Singapore in the area of Neural Signal Processing back in 2015. Currently, he is serving as an Associate Professor and Course Coordinator in the Dept. of Electrical and Electronic Engineering of Independent University, Bangladesh. His research interests include biomedical instrumentation and signal processing, neural signal processing, brain-computer interface (BCI), etc. He is actively involved as a TPC member of several international conferences and he reviews Journal articles frequently. He is also involved as a member of the Editorial Board of several journals. He is an Associate Editor of IEEE Access and Guest Editor of Frontiers in Computational Neuroscience. He has served as TPC Chair of ICAEE 2019, TPC Secretary of ICAEE 2017, Publication Chair of IEEE SPICSCON 2019, Track Co-Chair and Session Chair of IEEE TENSYMP 2020, Track Co-Chair of ICAICT 2020. He is a Senior Member of IEEE, IEEE EMBS and IEEE SPS Society. He is the Branch Counselor of IEEE IUB Student Branch since 2020 and won the Best branch counsellor award from IEEE BD Section in 2020. He is an active Professional Volunteer of IEEE Bangladesh Section. He is a Publons Academy Mentor and winner of Publons/WoS Top Reviewer in the Multidisciplinary area in 2017. He has published more than 45 (in total ) peer-reviewed journal articles, conference papers and book chapters with Google Scholar Citations of 1130+ and impact factor contribution of around 40+. Dr. Islam has won several best paper/presentation awards in IEEE conferences such as ICCIT 2018 at UIU, Dhaka, ICDPR 2020 at NTU, Singapore, ETCCE 2020 at UIU, Dhaka, and ICCCAS 2022 in Singapore. His research has also been recognized by IUB during Employee Recognition Awards in 2020 where he has won Publication Excellence in all three categories: journal articles, conference proceedings and book chapters.
 

 

Dr. Tengku Mohd Afendi Zulcaffle

Universiti Malaysia Sarawak, Malaysia

Tengku Mohd Afendi Zulcaffle received the bachelor’s degree (Hons.) in Electronics and Computer in 1997, the Master Science degree in intelligent system from Universiti Putra Malaysia in 2007, and the Doctor of Philosophy degree from Queen’s University Belfast, United Kingdom in 2016. He is currently a Senior Lecturer with Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak, Malaysia. He actively involved in many international conferences and journals. His research interests include image and video processing, computer vision, and biometrics and pattern recognition.