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Prof. Ting Yang

School of Electrical and Information Engineering, Tianjin University, China

Research Area: Energy & Power, Internet of Things, Artificial Intelligence, Intelligent Manufacturing


Research Experience:

Prof. Ting Yang, doctoral supervisor, is a discipline leader in the School of Electrical and Information Engineering, Tianjin University. He is the deputy director of the national "distributed energy and micro grid" international science and technology cooperation base and the deputy director of Tianjin "Energy Internet” International Joint Research Center. As the largest contributor, he has won two provincial and departmental science and technology progress awards and some enterprise science and technology progress awards. He has published more than 100 SCI/EI papers, 4 monographs and 2 international invention patents in top academic journals in China and abroad. He has served as the session chair of several IEEE international conferences. He also served as the editor in chief or member of the Editorial Committee of several SCI journals. He is the special editor in chief of "Application of artificial intelligence in power system and energy Internet"(which won him the "Outstanding Special Editor Award" in 2018) of “Journal of Power System Automation”, and the special editor in chief of "Ubiquitous Power Internet of Things (UPIOT)" of “Journal of Power Construction”. He is now the deputy director of circuit and system branch of China Electronics Society, the national director of sensor sub committee of China Instrumentation Society and a member of the theoretical electrician special committee of China Electrical Engineering Society. His main research interests include energy & power, Internet of things, artificial intelligence and intelligent manufacturing.


Speech Title:  A New Generation of Artificial Intelligence in Sustainable Energy and Electric Systems

Abstract: 

Artificial Intelligence (AI), including computational intelligence, cognitive intelligence and cognitive intelligence, is one of the most subversive science and technology. At present, the branch of artificial intelligence which includes deep learning, reinforcement learning and transfer learning, has entered a new stage, opening a new direction to solve many scientific and engineering challenges. It has broad application prospects in the fields of energy internet, intelligent manufacturing, healthcare, and so on. This presentation will focus on the new generation of artificial intelligence in sustainable energy and electric systems, including the operation optimization of the energy supply and consumption sides, the electric systems control, and energy markets. Finally, the future challenges and opportunities will be explicitly addressed.



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Assoc. Prof. Chee Wei Tan (click)

Department of Computer Science, City University of Hong Kong , China

Research Area: Computer Science, artificial intelligence, networks, graph analytics

Research Experience:

Dr. Tan is an Associate Professor of Computer Science. He received the M.A and Ph.D. degrees from Princeton University. He was a Senior Fellow of the Institute for Pure and Applied Mathematics (IPAM) for the program on Science at Extreme Scales, and was a Postdoctoral Scholar in the NetLab Group at Caltech. His industrial experience includes consulting for Tencent AI Lab, Qualcomm R&D (QRC), Fraser Research Lab. His research interests are artificial intelligence, networks and graph analytics, convex optimization theory and its applications in scientific machine learning and large-scale computing. He is also interested in tech innovations for computer science and math education. 

Dr. Tan is currently serving as an Editor for the IEEE/ACM Transactions on Networking. He received the Princeton University Wu Prize for Excellence, Google Faculty Award, and was twice selected to participate at the U.S. National Academy of Engineering China-America Frontiers of Engineering Symposium. His research was featured in Hong Kong Research Grants Council's Research Frontiers. He has previously served as the Editor of the IEEE Transactions on Communications and the Chairman of the IEEE Information Theory Society Hong Kong Chapter receiving the 2015 IT Society Chapter of the Year award. He organizes the Computer Science Challenge and Education Bureau's Programme on Creative Mathematics and Computer Science Learning for Gifted Students to learn computer science and advanced mathematics.


Speech Title:  Artificial Intelligence in Education

Abstract: 

Artificial Intelligence (AI) in Education is an important subject area in computer science. This talk will introduce the past, present and future of AI and its role in mathematical games for education. We will demonstrate to the audience the vibrancy of AI through a variety of novel AI software such as AI Chatbot 

and learning applications powered by Deep Learning and Google Tensorflow software, demonstrating how human-AI augmentation can enhance the efficacy of teaching STEM skillsets, solving education equity problems and building an AI-ready workforce.




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