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Main User Information of Dr. Shahrel Azmin Suandi
Name Dr. Shahrel Azmin Suandi
Affiliation Universiti Sains Malaysia, Penang, Malaysia
Topics Artificial Vision
Ambient Intelligence
Biography Assoc. Prof. Dr. Shahrel Azmin Suandi received his Bachelor of Engineering in Electronic Engineering, Master of Engineering and Doctor of Engineering degrees in Information Science from Kyushu Institute of Technology, Fukuoka, Japan, in 1995, 2003 and 2006, respectively. He is currently an Associate Professor at the School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Engineering Campus, Penang, Malaysia. At USM, he also serves as the Coordinator of Intelligent Biometric Group (IBG) where he is the founder of a biometric product, ‘FaceBARS’. Prior to joining the university, he served the private sector for almost six years as an engineer. In September 2000, he left the industry to continue his postgraduate studies in Japan. He was with Intelligent Media Lab, Department of Artificial Intelligence, Graduate School of Computer Systems and Engineering at Kyushu Institute of Technology, Japan where he completed his MEng and DEng degrees. After his graduation in 2006, he joined Universiti Sains Malaysia (USM) as a Lecturer. In 2008 and 2012, he was promoted to Senior Lecturer and Associate Professor, respectively. To date, he has successfully graduated more than 5 Ph.D students, 20 MSc. students and 40 BEng students. Some of the final year projects that he supervised have won medals in national competitions such as Innovate Malaysia Design Competition (IMDC), IEEE Malaysia FYP competition etc. He also published more than 100 publications as the main author and co-author in international journals, conferences and book chapter. He also managed to secure more than RM1m research and commercialization grants in his academic career. In 2015, he commercialized his research product, ‘FaceBARS (Face Biometric for Access Recording System)’. His current research interests are face based biometrics, real-time object detection and tracking, and pattern classification for video surveillance security system.
User Since Wednesday, 14 February 2018
User Page Views 178
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