Quang P. Ha
School of Electrical and Data Engineering
University of Technology Sydney (UTS), Australia
Abstract
Artificial Intelligence (AI) has been identified as an interesting area where machine learning is used instead of the human way to gain knowledge. As a subset of machine learning, deep learning using multilayer artificial neural works (ANN) has been emerging as an effective tool to mimic the human brain for learning in complex scenarios. Two most popular types of deep learning ANN-based structures, namely the convolutional neural networks (CNN) and the recurrent neural networks (RNN), will be introduced. In particular, the major part of the talk is focused on the development of hierarchical CNN and long short-term memory RNN, along with their applications in vision-based surface inspection and in air pollutant forecasting.
About the speaker
QUANG P. HA (Senior Member, IEEE) received the B.E. degree in electrical engineering from the Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam, in 1983, the Ph.D. degree in complex systems and control from the Moscow Power Engineering Institute, Moscow, Russia, in 1993, and the Ph.D. degree in intelligent systems from the University of Tasmania, Australia, in 1997. He is currently an Associate Professor with the Faculty of Engineering and Information Technology, School of Electrical and Data Engineering, University of Technology Sydney, Australia. His research interests include automation, robotics, and control systems. He has been on the Board of Directors of the International Association of Automation and Robotics in Construction, since 2007. He was a recipient of a number of best paper awards from the IEEE, IAARC, and Engineers Australia, including the Sir George Julius Medal, in 2015. He was the conference chair/the co-chair of several international conferences on automation and intelligent systems. He has been on the Editorial oard of the IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2009-2013), Mathematical Problems in Engineering, and Electronics. He is currently an Associate Editor of Robotica (Cambridge Press) and Automation in Construction (Elsevier).
