Prof. Liyanage C De Silva

Prof. Liyanage C De Silva, Dean, Faculty of Integrated Technologies, Universiti Brunei Darussalam, Brunei Darussalam

Professor Liyanage C De Silva has received BSc Eng(Hons) degree from the University of Moratuwa Sri Lanka in 1985, MPhil degree from The Open University of Sri Lanka in 1989, MEng and PhD 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 has pursued his postdoctoral research as a researcher at ATR (Advanced Telecommunication Research) Laboratories, Kyoto, Japan. In March 1997 he has joined The National University of Singapore as a Lecturer where he was an Assistant Professor till June 2003. He was with the Massey University, New Zealand from 2003 to 2007. Currently he is a Professor of Engineering and the Dean of the Faculty of Integrated Technologies (FIT) at the Universiti Brunei Darussalam (UBD).
Liyanage’s current research interests are Internet of Things (IoT) Neural Network Applications, Image and Speech Signal Processing (in particular multi modal emotion recognition and speech emotion analysis), Digital Communication (CDMA, OFDMA etc.), Information theory (source coding), Pattern recognition and understanding (biometric identification), Multimedia signal processing, and Smart Sensors (Smart environments for security, eldercare and energy efficiency). Liyanage has published over 170 technical papers in these areas in international conferences, journals and Japanese national conventions and holds three US, one Brunei and one Japanese national patents. The Japanese national patent was successfully sold to Sony Corporation Japan for commercial utilization. Liyanage’s works have been cited as one of the pioneering work in the bimodal (audio and video signal based) emotion recognition by many researchers. His papers so far have been cited by more than 2600 times (according to with an h-index of 20.

2017 9th International Conference on Signal Processing Systems
Speech Title: Bird Sound Classification using Audio Data