ASSOCIATE PROF. IR. DR. CHUAH JOON HUANG
Department of Electrical Engineering
Faculty of Engineering
jhchuahum.edu.myView CV | |
Publons | |
Biography | |
Associate Professor Ir. Dr. David Chuah Joon Huang received the B.Eng. (First Class Honours) degree from the Universiti Teknologi Malaysia (UTM), M.Eng. degree from the National University of Singapore (NUS), the M.Phil. degree in Technology Policy, a professional practice programme initiated by the Cambridge MIT Institute (CMI) delivered at Cambridge Judge Business School (CJBS), and the Ph.D. degree from the University of Cambridge, where he is a Life Member of Wolfson College and Gonville and Caius College. He was honoured for being a Kuok Foundation Scholar and a Commonwealth Scholar. By virtue of his outstanding academic achievements, he was admitted as a Life Member of Golden Key International Honour Society, apart from being a Life Member of Oxford and Cambridge Society Malaysia. On his professional career path, he joined Intel as an IC Design Engineer, contributing to the creation of next generation of network processors. He was then with Freescale Semiconductor (formerly Motorola, SPS) as a Senior Product Development Engineer and Senior Test Engineer, overseeing the product development and project execution of high-performance automotive microcontrollers. Carrying out extensive engineering works globally, he lived in and travelled frequently to various locations such as San Jose @ Silicon Valley, California, Austin, Texas, Suzhou, China, Hong Kong, etc. While working in the multi-national companies, he was a recipient of multiple Silicon Engineering Excellence Recognitions and Technical Excellence Award. At present, he lectures at the Department of Electrical Engineering, Faculty of Engineering, University of Malaya. He assumes the positions of Head of Programme for M.Eng. (Mechatronics) and Head of VLSI and Image Processing (VIP) Research Group. He is a Chartered Engineer registered under the Engineering Council, U.K., and also a Professional Engineer with Practising Certificate (PEPC) registered under the Board of Engineers, Malaysia. He serves in a number of editorial boards, i.e. Journal of Nanoelectronics and Optoelectronics, ASEAN Engineering Journal, IEM Journal, etc. He was invited as a Plenary Speaker for the inaugural IEEE International Microwave, Electron Devices, Solid-state Circuit Symposium (IMESS) in 2016 and a Keynote Speaker for Engineering, Science & Technology International Conference 2018 (ESTIC2018). He was the Special Session Co-Chair for Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) in 2017. In recognition of his vast engineering knowledge and skills, he has been appointed as Scientific Advisor and Technical Consultant to several companies, e.g. Genome Solutions, Iconix Consulting, TrafficSens, etc. He has been elected as the Honorary Treasurer for IEEE Computational Intelligence Society (CIS) Malaysia Chapter. In addition, he is currently the Chairman of the Institution of Engineering and Technology (IET) Malaysia Local Network, the Honorary Secretary of the Institution of Engineers Malaysia (IEM) and also a Committee Member of the Board of Engineers Malaysia (BEM). He serves in the Governing Board of ASEAN Federation of Engineering Organisations as Honorary Treasurer. Apart from that, he serves in the Disciplinary Committee Panel of Advocates and Solicitors Disciplinary Board (ASDB), Bar Council. |
Publication
Finance
Project Title | Progress | Status |
---|---|---|
An Efficeint And Intelligent Vehicle Recognition And Classification System Using Deep Learning |
|
end |
A Critical Investigation Of Sources And Distribution Of Noise In Images Using Deep Neural Networks |
|
end |
Automatic Detection And Recognition Of Diabetic Retinopathy From Colour Fundus Image Using Convolutional Neural Networks |
|
end |
This information is generated from Research Grant Management System |
Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning
Detection of Basal Stem Rot Disease Using Deep Learning
Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network
Contrastive-Regularized U-Net for Video Anomaly Detection
The Nine Pillars of Technologies for Industry 4.0
The Nine Pillars of Technology for Industry 4.0
The Role of Artificial Intelligence in Development of Smart Cities
Industrial Revolution 4.0 Big Data and Big Data Analytics for Smart Manufacturing