Professor Ning Xi
The University of Hong Kong, Hong Kong
Professor Ning Xi received D.Sc. degree in Systems Science and Mathematics from Washington University in St. Louis, Missouri, USA in December 1993. Currently he is the Chair Professor of Robotics and Automation in the Department of Industrial and Manufacturing System Engineering, and the Director of Emerging Technologies Institute of the University of Hong Kong. Before joining the University of Hong Kong, he was a University Distinguished Professor, the John D. Ryder Professor of Electrical and Computer Engineering and Director of Robotics and Automation Laboratory at Michigan State University in United States. He also served as the founding head of the Department of Mechanical and Biomedical Engineering at City University of Hong Kong (2011-2013). Prof. Xi is a fellow of IEEE. He also served as the President of IEEE Nanotechnology Council (2010-2011), a member of Administrative Committee of IEEE Robotics and Automation Society (2013-2015). He has been elected as the President of IEEE Robotics and Automation Society (2018-2019). His research interests include robotics, manufacturing automation, micro/nano manufacturing, nano sensors and devices, and intelligent control and systems.
Professor Wei Xiang
La Trobe University, Australia
Wei Xiang (S’00–M’04–SM’10) received the B.Eng. and M.Eng. degrees, both in electronic engineering, from the University of Electronic Science and Technology of China, Chengdu, China, in 1997 and 2000, respectively, and the Ph.D. degree in telecommunications engineering from the University of South Australia, Adelaide, Australia, in 2004.
Professor Wei Xiang is Cisco Research Chair of AI and IoT and Director Cisco-La Trobe Centre for AI and IoT at La Trobe University. Previously, he was Foundation Chair and Head of Discipline of IoT Engineering at James Cook University, Cairns, Australia. Due to his instrumental leadership in establishing Australia’s first accredited Internet of Things Engineering degree program, he was inducted into Pearcy Foundation’s Hall of Fame in October 2018. He is an elected Fellow of the IET in UK and Engineers Australia. He received the TNQ Innovation Award in 2016, and Pearcey Entrepreneurship Award in 2017, and Engineers Australia Cairns Engineer of the Year in 2017. He was a co-recipient of four Best Paper Awards at WiSATS’2019, WCSP’2015, IEEE WCNC’2011, and ICWMC’2009. He has been awarded several prestigious fellowship titles. He was named a Queensland International Fellow (2010-2011) by the Queensland Government of Australia, an Endeavour Research Fellow (2012-2013) by the Commonwealth Government of Australia, a Smart Futures Fellow (2012-2015) by the Queensland Government of Australia, and a JSPS Invitational Fellow jointly by the Australian Academy of Science and Japanese Society for Promotion of Science (2014-2015). He was the Vice Chair of the IEEE Northern Australia Section from 2016-2020. He was an Editor for IEEE Communications Letters (2015-2017), and is currently an Associate Editor for IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal, IEEE Access, and Nature journal of Scientific Reports. He has published over 250 peer-reviewed papers including 3 books and 200 journal articles. He has severed in a large number of international conferences in the capacity of General Co-Chair, TPC Co-Chair, Symposium Chair, etc. His research interest includes the Internet of Things, wireless communications, machine learning for IoT data analytics, and computer vision.
Professor Yin-Tien Wang
Tamkang University, Taiwan
Yin-Tien Wang received the M.S. degree from Stevens Institute of Technology in 1988 and Ph.D. degree from University of Pennsylvania in 1992, both in mechanical engineering. He is currently a Professor with the Department of Mechanical and Electro-Mechanical Engineering, Tamkang University, New Taipei City, Taiwan, where he is in charge of Robotics and Machine Vision courses. His current interests include real-time vision localization and mapping research and the transference of this technology to robotic and nonrobotic application domains.