Prof. John Mo
(Fellow of IME and IEA)
Royal Melbourne Institute of Technology, Australia
Biography: John P. T. Mo is Professor of Manufacturing Engineering and former Head of Manufacturing and Materials Engineering at RMIT University, Australia, since 2007. He has been an active researcher in manufacturing and complex systems for over 35 years and worked for educational and scientific institutions in Hong Kong and Australia. From 1996, John was a Project Manager and Research Team Leader with Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO) for 11 years leading a team of 15 research scientists. John has a broad research interest and has received numerous industrial research grants. A few highlights of the projects include: signal diagnostics for plasma cutting machines, ANZAC ship alliance engineering analysis, optimisation of titanium machining for aerospace industry, critical infrastructure protection modelling and analysis, polycrystalline diamond cutting tools on multi-axes CNC machine, system analysis for support of complex engineering systems John obtained his doctorate from Loughborough University, UK and is a Fellow of Institution of Mechanical Engineers (UK) and Institution of Engineers Australia.
Prof. Bengt Lennartson
(Fellow of IEEE)
Chalmers University of Technology, Sweden
Biography: Bengt Lennartson is a Professor of the Chair of Automation since 1999 at Chalmers University of Technology, Gothenburg, Sweden. He is IEEE Fellow for his contributions to hybrid and discrete event systems for automation and sustainable production. He has been Associate Editor for Automatica and IEEE Transaction on Automation Science and Engineering, General Chair of IEEE CASE 2015, WODES 2008, Dean of Education at Chalmers, and Head of the Division of Systems and Control, Department of Electrical Engineering. He is the (co)author of more than 300 peer reviewed international papers, and his research is currently focused on AI planning and learning, as well as sustainable production.
Speech Title: Learning and Optimization of Robot Systems
Prof. Graziano Chesi
(Fellow of IEEE)
University of Hong Kong, China
Biography: Graziano Chesi joined the Department of Electrical and Electronic Engineering of the University of Hong Kong in 2006, where he is now a full professor. He received the Laurea in Information Engineering from the University of Florence in 1997 and the PhD in Systems Engineering from the University of Bologna in 2001. He was a visiting PhD student at the University of Cambridge, a postdoctoral fellow at the University of Tokyo, an assistant professor at the University of Siena, and a specially appointed professor at the Tokyo Institute of Technology. He served as associate editor for various journals, including Automatica, the European Journal of Control, the IEEE Control Systems Letters, the IEEE Transactions on Automatic Control, the IEEE Transactions on Computational Biology and Bioinformatics, and Systems and Control Letters. He also served as chair of the Best Student Paper Award Committees of the IEEE Conference on Decision and Control and the IEEE Multi-Conference on Systems and Control. He authored the books "Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems" and "Domain of Attraction: Analysis and Control via SOS Programming". He is a Fellow of the IEEE.
Prof. Zheng Liu
Nanyang Technological University, Singapore
(Fellow of NRF)
Biography: Dr. Zheng Liu received his B.S. degrees (2005) at Nankai University (China), and completed his Ph.D at National Center for Nanoscience and Technology (NCNST), China, under the guidance of Prof. Lianfeng Sun. He then worked in Prof. Pulickel M. Ajayan and Prof. Jun Lou’s groups as a joint postdoc research fellow (2010~2012) and research scientist (2012~2013) at Rice University. Dr. Zheng Liu's research focus on the synthesis, characterizations and applications of novel two-dimensional (2D) crystals, including nitrides (hexagonal boron nitride, h-BN), oxides, transition metal dichalcogenides (TMDs, MoS2, WS2, MoSe2 etc.) He has made great contributions to the 2D materials based nanoelectronics, active nano-systems and high performance energy components, e.g. graphene/h-BN resonators, graphene photodetectors, high-density capacitors, ultrafast lithium storage. He has published more than 50 peer-reviewed papers in top journals such as Nat Mater, Nat Nanotech, Nat Comm, Nano Lett, Adv Mater, JACS, ACS Nano, Small etc. These work have been reported by the impact media such as Science daily, IEEE spectrum etc., and highlighted by the top journals such as Nat Phys, Nat Nanotech, Chem Int Ed, etc. He was a recipient of the 2012 World Technology Award in Energy category. This award has been presented as a way to honor those in doing "the innovative work of the greatest likely long-term significance." He was awarded the Singapore NRF Fellowship in 2013.
Prof. JING Xingjian
The Hong Kong Polytechnic University, Hong Kong
Biography: Xingjian Jing (M’13, SM’17) received the B.S. degree from Zhejiang University, China, in 1998, the M.S. degree and PhD degree in Robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, in 2001 and 2005 respectively. He achieved the PhD degree in nonlinear systems and signal processing from University of Sheffield, U.K., in 2008. He is now an Associate Professor with the Department of Mechanical Engineering, the Hong Kong Polytechnic University (PolyU). Before joining in PolyU as an Assistant Professor in Nov 2009, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton. His current research interests include: nonlinear dynamics, vibration and control.