IEEE Fellow, IFSA Fellow, Australian Laureate Fellow
Prof. Jie Lu, University of Technology Sydney, Australia
Speech Title: Autonomous Machine Learning for Decision Support in Complex Environments
Distinguished Professor Jie Lu is a world-renowned 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. Prof Lu is the Director of the Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney (UTS), Australia. She has published over 500 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects as first chief investigator, and over 20 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. She is a recognized keynote speaker, delivering over 40 keynote speeches at international conferences. She is the recipient of two IEEE Transactions on Fuzzy Systems Outstanding Paper Awards (2019 and 2022), NeurIPS2022 Outstanding Paper Award, Australia's Most Innovative Engineer Award (2019), Australasian Artificial Intelligence Distinguished Research Contribution Award (2022), and the Officer of the Order of Australia (AO) in the Australia Day 2023.
长江学者、国家杰青、IEEE Fellow
Prof. Huijun Gao, Harbin Institute of Technology, China
Speech Title: Robotic Micromanipulation for Biomedical Applications
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. Kaizhu Huang, Duke Kunshan University, USA
Speech Title: Data Augmentation Improves Model Generalization: Methods and Applications
Kaizhu Huang works on machine learning, neural information processing, and pattern recognition. He is currently a tenured Professor of ECE at Duke Kunshan University (DKU). Before joining DKU, he was a full professor at Xi’an Jiaotong-Liverpool University (XJTLU) and Associate Dean of research in School of Advanced Technology, XJTLU. He also founded Suzhou Municipal Key Laboratory of Cognitive Computation and Applied Technology. Prof. Huang obtained his PhD degree from Chinese University of Hong Kong (CUHK) in 2004. He worked in Fujitsu Research Centre, CUHK, University of Bristol, National Laboratory of Pattern Recognition, Chinese Academy of Sciences from 2004 to 2012. He was the recipient of 2011 Asia Pacific Neural Network Society Young Researcher Award. He received best paper or book award six times. He has published 9 books and over 210 international research papers (100+ international journals) e.g., in journals (JMLR, IEEE-TKDE, IEEE T-PAMI, IEEE T-NNLS, IEEE T-BME, IEEE T-Cybernetics) and conferences (NeurIPS, IJCAI, SIGIR, UAI, CIKM, ICDM, ICML, ECML, CVPR). He serves as associated editors/advisory board members in 6 international journals and book series. He was invited as keynote speaker in more than 30 international conferences or workshops.
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