Jiangchuan Liu is currently a Full Professor (with University Professorship) in the School of Computing Science at Simon Fraser University, British Columbia, Canada. He is a Fellow of The Canadian Academy of Engineering, an IEEE Fellow, and an NSERC E.W.R. Steacie Memorial Fellow. He is also an EMC-Endowed Visiting Chair Professor of Tsinghua University, Beijing, China (2013-2016), an Adjunct Professor of Tsinghua Shenzhen Graduate School (2016-2017), and a Distinguished Guest Professor of Tsinghua Shenzhen International Graduate School (2022-2024). He was a Microsoft Research Fellow and worked at Microsoft Research Asia (MSRA) in the summers of 2000, 2001, 2002, 2007, and 2011.
He received BEng (Cum Laude) from Tsinghua University in 1999, and PhD from The Hong Kong University of Science and Technology in 2003 (through HKUST's MED program with recommendation from Education Ministry of China and scholarship from Hong Kong Jockey Club; recipient of 2004 Hong Kong Young Scientist Award for the PhD work). From 2003 to 2004, he was an Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong.

Xiaoli is currently the Department Head and Senior Principal Scientist at the Institute for Infocomm Research, A*STAR, Singapore. He also serves as an adjunct full professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. With a diverse range of research interests, Xiaoli focuses on cutting-edge areas such as AI, data mining, machine learning, and bioinformatics. His contributions to these fields are evident through his extensive publication record, boasting over 350 peer-reviewed papers, and the recognition he has received, including over ten best paper awards. He has been serving as Editor-in-chief of the Annual Review of Artificial Intelligence and an Associate Editor for prestigious journals like IEEE Transactions on Artificial Intelligence and Knowledge and Information Systems, as well as conference chairs and area chairs of leading AI, machine learning, and data science conferences, such as AAAI, IJCAI, ICLR, NeurIPS, KDD, ICDM etc. Beyond academia, Xiaoli possesses extensive industry experience, where he has successfully spearheaded over 10 R&D projects in collaboration with major industry players across diverse sectors, such as aerospace, telecom, insurance, and professional service companies. Xiaoli is an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). He has been recognized as one of the world's top 2% scientists in the AI domain by Stanford University and one of the top ranked computer scientists by Research.com.

Speech Title: AI for Time-series Data Analytics: from Research to Applications

Abstract: Various sensors have been widely deployed to support condition monitoring tasks for different industry verticals, including manufacturing, aerospace, semiconductor, healthcare etc. As such, how to develop innovative AI solutions for analysing the collected and real-time time-series sensor data is critical for diverse applications, such as increasing equipment availability and efficiency, effective maintenance decision-making and smart system control. In this talk, we will share some of recent AI research effort to address real-world challenges for equipment diagnostic, machine remaining useful life prediction that addresses the real-world challenges such as high prediction accuracy, model compression for edge computing, domain adaptation issues, as well as a hybrid accuracy- and energy-aware human activity recognition model.

Jianbin Qiu received the B.Eng. and Ph.D. degrees in Mechanical and Electrical Engineering from the University of Science and Technology of China, Hefei, China, in 2004 and 2009, respectively. He also received the Ph.D. degree in Mechatronics Engineering from the City University of Hong Kong, Kowloon, Hong Kong, in 2009. He is currently a Full Professor at the School of Astronautics, Harbin Institute of Technology, Harbin, China. He was an Alexander von Humboldt Research Fellow at the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. His current research interests include intelligent and hybrid control systems, signal processing, and robotics. Prof. Qiu is a Fellow of IEEE and serves as the chair of the IEEE Industrial Electronics Society Harbin Chapter, China. He is an Associate Editor of IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, and IEEE Transactions on Industrial Informatics.

Speech Title: Adaptive Output-Feedback Boundary Control of Distributed Parameter Systems

Abstract: Distributed parameter systems, which are described by partial differential equations, widely exist in aerospace engineering, bioengineering, chemical engineering, and electrical engineering. Over the past decades, the control issues for distributed parameter systems have attracted considerable attention. In particular, the output-feedback adaptive control of distributed parameter systems is very challenging due to limited sensor measurements, unknown spatially varying parameters, and infinite-dimensional coupled dynamics. This talk will introduce some recent results on output-feedback adaptive boundary control for several classes of distributed parameter systems. The basic tools include observer canonical form, swapping identifier, and infinite-dimensional backstepping approach.

Dr. Jun Luo has been working on wireless sensing, deep learning, and computing system integration for more than two decades and has established a solid foundation on all these topics. Building upon this foundation, his research team has made contributions on mobile/ pervasive computing and smart sensing technologies, by leading several national research projects and corporate labs, aiming to transfer the research outcomes to practical applications. In the meantime, Dr. Luo and his team have kept publishing at relevant venues such as IEEE and ACM top conferences and journals, including MobiCom, CVPR, SenSys, INFOCOM, UbiComp, ToN, and TMC. With only 130+ publications, he has earned over 8300 Google Scholar citations, with two top-cited papers both bearing more than 1,000 of them.