Keynote Speakers/特邀报告专家-ICCIA2022

Prof. Jie Lu, University of Technology Sydney, Australia

IEEE Fellow, IFSA Fellow, Australian Laureate Fellow

 

Speech Title: Fuzzy Transfer Learning (Click for abstract)

 

Biography: Distinguished Professor Jie Lu is a scientist in the field of computational intelligence, primarily known for her work in fuzzy transfer learning, concept drift, recommender systems, and decision support systems. She is an IEEE Fellow, IFSA Fellow, and Australian Laureate Fellow. Currently, Prof Lu is the Director of the Australian Artificial Intelligence Institute (AAII) and Associate Dean (Research Excellence) at the Faculty of Engineering and Information Technology, University of Technology Sydney (UTS). She has published over 400 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects and led 15 industry projects; and supervised 50 doctoral students to completion. Prof Lu serves as Editor-In-Chief for Knowledge-Based Systems and International Journal of Computational Intelligence Systems, and is a recognized keynote speaker, delivering 30 keynote speeches at international conferences. She is the recipient of the IEEE Transactions on Fuzzy Systems Outstanding Paper Award (2019), the Computer Journal Wilkes Award (2018), Australia's Most Innovative Engineer Award (2019), and the UTS Chancellor's Medal for Research Excellence (2019).

Prof. Qing-Long Han, Swinburne University of Technology, Australia

教育部长江学者讲座教授, IEEE Fellow, 现为澳大利亚墨尔本 Swinburne University of Technology (斯威本科技大学) 副校长和杰出教授

 

Speech Title: Towards Resource-Efficient and Secure Automated Vehicle Platoons (Click for abstract)

 

Biography: Distinguished Professor Qing-Long Han is Swinburne’s Pro Vice-Chancellor (Research Quality).  He is a Fellow of The Institute of Electrical and Electronic Engineers and a Fellow of The Institution of Engineers Australia.  He has served as an AdCom Member of IEEE Industrial Electronics Society (IES) and a Member of IEEE IES Fellows Committee.
Professor Han is a Highly Cited Researcher by Clarivate Analytics (Thomson Reuters) in 2014-2016, 2018-2020.  He is one of Australia’s Top 5 Lifetime Achievers (Research Superstars) in Engineering and Computer Science in The Australian’s Research Magazine in 2019 and 2020.  He is ranked No. 320 in the world ranking in the 6th Edition of the 2020 Ranking of Top 1000 Scientists in the field of Computer Science and Electronics and No. 5 in Australia in the field of Computer Science and Electronics according to Guide2Research.
Professor Han received The 2020 IEEE Systems, Man, and Cybernetics (SMC) Society Andrew P. Sage Best Transactions Paper Award (IEEE Transactions on Systems, Man, and Cybernetics: Systems), The 2020 IEEE Industrial Electronics Society IEEE Transactions on Industrial Informatics Best Paper Award, and The 2019 IEEE Systems, Man, and Cybernetics (SMC) Society Andrew P. Sage Best Transactions Paper Award  (IEEE Transactions on Cybernetics). 
Professor Han has served as an Associate Editor for 12 international journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Industrial Electronics Magazine, IEEE Transactions on Cybernetics, Control Engineering Practice, Information Sciences, and a Guest Editor for 13 Special Issues.

Prof. Xin Yao, Southern University of Science and Technology, China

教育部重大人才项目专家, IEEE Fellow

 

Speech Title: Multi-objective Approaches to Fair Machine Learning (Click for abstract)

 

Xin Yao is a Chair Professor of Computer Science at the Southern University of Science and Technology, Shenzhen, China, and a part-time Professor of Computer Science at the University of Birmingham, UK. His major research interests include evolutionary computation, ensemble learning and search-based software engineering. More recently, he has been working on AI ethics, especially fairness. He is an IEEE fellow, a former (2014-15) president of IEEE Computational Intelligence Society (CIS) and a former (20003-08) Editor-in-Chief of IEEE Transactions on Evolutionary Computation. His research work won the 2001 IEEE Donald G. Fink Prize Paper Award, 2010, 2016 and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards, 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other best paper awards. He received a Royal Society Wolfson Research Merit Award in 2012, the IEEE CIS Evolutionary Computation Pioneer Award in 2013, and the 2020 IEEE Frank Rosenblatt Award.

Prof. Huijun Gao, Harbin Institute of Technology, China

长江学者、国家杰青、IEEE Fellow

 

Speech Title: Robotic Micromanipulation and Its Applications (Click for abstract)

 

Huijun Gao received the Ph.D. degree in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2005. From 2005 to 2007, he carried out his postdoctoral research with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. Since 2004, he has been with the Harbin Institute of Technology, where he is currently a Chair Professor, the Director of the Research Institute of Intelligent Control and Systems, and the Director of Interdisciplinary Research Center. His research interests include intelligent and robust control, robotics, mechatronics, and their engineering applications, etc.

Dr. Gao is a Vice President of IEEE Industrial Electronics Society, and a Council Member of IFAC. He serves as the Co-Editor-in-Chief for the IEEE Transactions on Industrial Electronics, a Senior Editor for the IEEE/ASME Transactions on Mechatronics, and an Associate Editor for Automatica, the IEEE Transactions on Cybernetics, and the IEEE Transactions on Industrial Informatics, etc. He is also a Distinguished Lecturer of IEEE Systems, Man, and Cybernetics Society.

Prof. Min-Ling Zhang, Southeast University, China

青年长江学者特聘教授

 

Speech Title: Research on Partial Label Learning (Click for abstract)

 

Min-Ling Zhang received the BSc, MSc, and PhD degrees in computer science from Nanjing University, China, in 2001, 2004 and 2007, respectively. Currently, he is a Professor at the School of Computer Science and Engineering, Southeast University, China. His main research interests include machine learning and data mining. In recent years, Dr. Zhang has served as the General Co-Chairs of ACML'18, Program Co-Chairs of CCDM'20, PAKDD'19, CCF-ICAI'19, ACML'17, CCFAI'17, PRICAI'16, Senior PC member or Area Chair of AAAI 2017-2021, IJCAI 2017-2021, KDD 2021, ICDM 2015-2021, etc. He is also on the editorial board of IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Intelligent Systems and Technology, Neural Networks, Science China Information Sciences, Frontiers of Computer Science, etc. Dr. Zhang is the Steering Committee Member of ACML and PAKDD, Vice Chair of the CAAI Machine Learning Society, standing committee member of the CCF Artificial Intelligence & Pattern Recognition Society. He is a Distinguished Member of CCF, CAAI, and Senior Member of ACM, IEEE.