Chandratilak De Silva Liyanage

Liyanage Chandratilak De Silva (Senior Member, IEEE) received the B.Sc.Eng. degree (Hons.) from the University of Moratuwa, Sri Lanka, in 1985, the M.Phil. degree from The Open University of Sri Lanka, in 1989, and the M.Eng. and Ph.D. degrees from The University of Tokyo, Japan, in 1992 and 1995, respectively. He was with the University of Tokyo, Japan, from 1989 to 1995. From April 1995 to March 1997, he pursued his postdoctoral research as a Researcher at ATR (Advanced Telecommunication Research) Laboratories, Kyoto, Japan. In March 1997, he joined The National University of Singapore as a Lecturer, where he was an Assistant Professor, until June 2003. He was with Massey University, New Zealand, from 2003 to 2007. Currently, he is a Professor in engineering and the Deputy Dean of the Faculty of Integrated Technologies, University of Brunei Darussalam. He has published over 160 technical papers in these areas in international conferences, journals, and Japanese national conventions, and holds one Japanese national patent, which was successfully sold to Sony Corporation Japan for commercial utilization, and he holds one U.S. and one Brunei patents. His works have been cited as one of the pioneering works in the bimodal (audio and video signal based) emotion recognition by many researchers. His papers so far have been cited by more than 4500 times (according to ) with an H-index of 27. He received the Best Student Paper Award from SPIE (The International Society for Optical Engineering) for an outstanding paper contribution to the International Conference on Visual Communication and Image Processing (VCIP), in 1995. He also received the National University of Singapore Award, in 2001, and the Department of ECE Teaching Commendation Award, in 2002. He is the Interim Chair of the IEEE Brunei Darussalam Subsection. He was the General Chair of the 4th International Conference Computational Intelligence and Robotics and Autonomous Systems (CIRAS2007) held in New Zealand.

Publications

Medical Robotics and AI-Assisted Diagnostics Challenges for Smart Sustainable Healthcare
Medical Robotics and AI-Assisted Diagnostics Challenges for Smart Sustainable Healthcare
Wasswa Shafik, Ali Tufail, Chandratilak De Silva Liyanage, Rosyzie Anna Awg Haji Mohd Apong. © 2024. 20 pages.
The healthcare industry is undergoing a momentous transformation with the advent of artificial intelligence (AI) and the internet of medical things (IoMT), as these technologies...