Dianhui Wang was awarded a Ph.D. from Northeastern University, Shenyang, China, in 1995. From 1995 to 2001, he worked as a Postdoctoral Fellow at Nanyang Technological University, Singapore, and a Researcher at The Hong Kong Polytechnic University, Hong Kong, China. He joined La Trobe University in July 2001 and is currently a Reader and Associate Professor with the Department of Computer Science and Information Technology, La Trobe University, Australia. He is also a Professor at The State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University; School of Artificial Intelligence, Shenyang University of Technology, China. His current research focuses on industrial bigdata-oriented machine learning theory and applications, specifically on Deep Stochastic Configuration Networks (http://www.deepscn.com/) for data analytics in process industries, intelligent sensing systems and power engineering. Dr Wang is a Senior Member of IEEE and has been serving as an Associate Editor for IEEE Transactions on Cybernetics, Information Sciences, International Journal of Machine Learning and Cybernetics, and WIREs Data Ming and Knowledge Discovery.
Big data-oriented machine learning, Data analytics, Intelligent sensing systems and Power engineering
All accepted abstracts will be published in respective Allied Academies Journals.
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