Tutorial 3 - Data informatics-driven machine intelligence for human-oriented computing: From deep learning-based video processing to system optimization

Tutorial Session Presented by

Haijun Zhang and Tommy W. S. Chow

Abstract

The proposed tutorial is aimed at introducing the most important machine learning techniques that are particular useful to industrial informatics engineers and researchers. The techniques that will be covered in the tutorial are the state-of–the-art and are still ongoing hot research topics. This tutorial is designed in a way to bridge the areas of industrial informatics and machine learning.

Bio of the presenters

Haijun Zhang received the Ph.D. degree from the Department of Electronic Engineering, City University of Hong Kong, Hong Kong, in 2010. He was a Post-Doctoral Research Fellow with the Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada, from 2010 to 2011. Since 2012, he has been with the Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China, where he is currently an Associate Professor of Computer Science. His current research interests include multimedia data mining, neural networks, machine learning, system optimization, and computational advertising. He is an author and co-author of over 50 international technical Journal articles related to his research, including IEEE Trans. on Industrial Informatics, IEEE Trans. on Neural Networks, IEEE Trans. on Cybernetics, etc. Under the Google scholar, his works have received a citation of over 1,000 and an H index of 17. He is now an Associate Editor of the Neurocomputing, and Neural Computing & Applications, and Pattern Analysis and Applications.

Tommy W. S. Chow is currently a Professor in the Department of Electronic Engineering at the City University of Hong Kong. He is an IEEE Fellow. His main research areas include Neural Network, machine learning, fault diagnosis and documents analysis. He is an author and co-author of over 180 international technical Journal articles related to his research, 5 book chapters, and 1 book. Under the Google scholar, his works have received a citation of over 5,900 and an H index of 39. He was the Guest Editor of Neural Computing & Applications on the 2010 Special Issue on “The Emerging Applications of Neural Networks.” He received the Best Paper Award in 2002 IEEE Industrial Electronics Society Annual meeting in Seville, Spain. He is now an Associate Editor of the IEEE Transactions on Industrial Informatics, and Neural Processing Letters.

Previous Next