Dr Kenneth Li-minn Ang received his BEng (Hons) and PhD degrees from Edith Cowan University in Australia. He is currently Professor of Electrical and Computer Engineering at the School of Science, Technology and Engineering at University of the Sunshine Coast (UniSC).
Dr Ang has worked in Australian and UK universities including Monash University, University of Nottingham, ECU, CSU and Griffith University. Prior to joining UniSC, he was an Associate Professor at Griffith University.
His research interests are in computer, electrical and systems engineering including Internet of Things, intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, health and defence.
Dr Ang has published three research books and over 200 papers in journals, book chapters and international refereed conferences and has achieved over 3 million in grant income from government and industry. He has supervised or co-supervised over 25 HDR including 15 PhD students to completion. He serves on the editorial board or committees of several journals and international conferences. He is a Fellow of Engineers Australia, a Senior Member of the IEEE and a Senior Fellow of the Higher Education Academy (UK).
Professional memberships
- Fellow of Engineers Australia
- IEEE Senior member
- HEA Fellow
Research areas
- application-specific Internet of Things, wireless sensor-based systems
- intelligent systems, machine learning, data analytics
- multimedia and visual information processing
- reconfigurable computing and embedded systems
- innovative technologies and development of real-world applications and computational systems
Teaching areas
- ENG106 Engineering Computing
- ELC200 Digital Logic and Computer Programming
- ELC404 Advanced Digital and Embedded Systems
Program coordinator
Professor Ken Ang's specialist areas of knowledge include computer, electrical and systems engineering. intelligent systems and data analytics. wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, health and defence.