Prof. Duc Truong Pham
OBE, FREng, FLSW, FSME, FIMechE, FIET, SFHEA
Mechanical Engineering, University of Birmingham, UK
Areas of Expertise:
Rapid manufacturing, micro manufacturing, automation, robotics, IT and intelligent systems
Bio:
Duc Truong Pham’s academic output includes more than 600 technical papers and 17 books. He has supervised over 100 PhD theses to completion. He has won in excess of £30M in external research grants and contracts. In addition to pursuing and leading research, he has acted as a consultant to several major companies and has been active with knowledge transfer to industry, applying the results of his work to help multinational companies and SMEs generate wealth and create and safeguard jobs. He has lectured extensively abroad on his research and has delivered more than fifty keynote presentations at international conferences. He was Professeur Invité at École Centrale de Paris, Consulting Professor at HUST (China), Erskine Visiting Fellow at the University of Canterbury (New Zealand), Visiting Professor at the Université Paul Verlaine (France), Visiting Professor at King Saud University (Saudi Arabia), Strategic Scientist at Wuhan University of Technology and Honorary Professor at Xi’an Jiaotong University (China). ...more...
Prof. Qixin Cao
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, China
Areas of Expertise:
Ubiquitous robotics, intelligent sensing and 3-D environmental modeling technology, intelligent robotics and modular technology, and intelligent maintenance and the Internet-of-Things technology.
Speech title: The Key Technologies of Autonomous Movement and Grasping for Composite Robot
Abstract: Although, as early as in the 1980s, the concept prototype of composite robot was developed by the German factory. Due to the limitation of the complexity of autonomous movement and grasping technology, this kind of composite robot has been difficult to be promoted and applied. More recently, advances in machine vision and deep learning have made it possible to use composite robots in a variety of industries. Therefore, our laboratory has carried out in-depth research on key technologies of mobile grasping of composite robots, including environment perception and modeling, object recognition and grasping, task planning and implementation, and the construction of RSFC (Robot software Functional Component) platform. RSFC platform can be combined and configured according to different working environments and tasks of the composite robot, so that the composite robot can realize autonomous visual grasping and assembly functions. Experiments verify that the autonomous composite robot based on RSFC platform has high flexibility, can flexibly realize model grasping and assembly tasks with/without model, and AI-driven autonomy and advanced manipulation. In addition, the results of JDX Robot Challenge show that the robot has the characteristics of fast execution and high reliability.
Prof. Han Yuan
Harbin Institute of Technology (Shenzhen), China
Biography: Han Yuan (Member, IEEE) received the Ph.D. degree in mechanical engineering from the Institute National des Sciences Appliquées de Rennes, Rennes, France, in 2015. He was a Research Scientist with CNRS, Clermont-Ferrand, France, from 2015 to 2016, and a Postdoctoral Fellow with the Chinese University of Hong Kong, Hong Kong, from 2016 to 2017. He is currently an Associate Professor with the Harbin Institute of Technology, Shenzhen, China. His research interests include soft robots and cable-driven manipulators.
Assoc. Prof. Wei Min Huang
Nanyang Technological University, Singapore
Speech title: Rapid manufacturing anywhere, anytime
Abstract: Rapid manufacturing in environments such as space, air, sea, and land missions, where gravitational forces are absent or severe random disturbances persist, is in high demand. Currently, there is no reliable technique for such challenging conditions. This study aims to develop a technology for rapid 3D printing of polymeric materials in the solid state to address these issues. The core concept involves UV cross-linking of pre-polymeric materials in the solid state for rapid volumetric additive manufacturing. Uncross-linked parts must be easily removable by heating or cooling for melting, washing away with solvents or water, or mechanical separation. Additionally, the cross-linked polymers must exhibit an excellent shape memory effect (SME) to ensure high accuracy of the printed items. Proof of concept has been demonstrated using a thermal gel, UV cross-linkable vitrimer, and dual cross-linkable resin.
Biography: Dr Wei Min Huang is currently an Associate Professor at the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. He has 17 years of experience on shape memory materials (alloy, polymer, composite and hybrid) and technologies. He has published two books (Thin Film Shape Memory Alloys [co-ed., Cambridge University Press, 2009]; Polyurethane Shape Memory Polymer [co-au., CRC, 2011]) and over 100 papers in journals, such as Materials Today, Soft Matter, Journal of Materials Chemistry etc, and has been invited to review manuscripts from over 60 international journals and proposals from American Chemical Society etc. He is currently on the editorial board of four journals.
Prof. Hesheng Wang
IEEE Senior Member
Department of Automation, Shanghai Jiao Tong University, China.
Areas of Expertise:
Rapid manufacturing, micro manufacturing, automation, robotics, IT and intelligent systems
Bio:
Dr. Hesheng Wang received the B.Eng. degree in Electrical Engineering from the Harbin Institute of Technology. Harbin, China, in 2002, the M.Phil. and Ph.D. degrees in Automation & Computer-Aided Engineering from the Chinese University of Hong Kong, Hong Kong, in 2004 and 2007, respectively. From 2007 to 2009, he was a Postdoctoral Fellow and Research Assistant in the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong. He joined Shanghai Jiao Tong University as an Associate Professor in 2009. Currently, he is a Distinguished Professor of Department of Automation, Shanghai Jiao Tong University, China. He worked as a visiting professor at University of Zurich in Switzerland. His research interests include visual servoing, service robot, robot control and computer vision.
Prof. Wang has published more than 200 papers in refereed professional journals and international conference proceedings. ...more...
Prof. Anand Nayyar
IEEE Senior Member, ACM (Senior Member)
School of Computer Science-Duy Tan University, Vietnam
Areas of Expertise:
Wireless Sensor Networks, Internet of Things, Artificial Intelligence and Drones
Bio:
Dr. Anand Nayyar is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 180+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 11100+, H-Index: 56 and I-Index: 202. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). ...more...
Prof. Yonghong Tan
Shanghai Normal University, China
Areas of Expertise:
Measurement, modeling and control of precision mechatronic systems, Real-time identification, filtering and control of non-smooth dynamic systems, Biomedical measurement, signal processing and pattern recognition.
Bio:
Prof. Yonghong Tan received the Ph.D. degree in electrical engineering from the University of Ghent, Ghent, Belgium, in 1996. He was a Postdoctoral Fellow with Simon Fraser University, Vancouver, BC, Canada. He was a Visiting Professor with Colorado State University, Fort Collins, CO, USA; Concordia University, Montreal, QC, Canada; the Shibaura Institute of Technology, Tokyo, Japan; and the University of Windsor, Windsor, ON, Canada. He held professorships with the Guilin University of Electronic Technology, Guilin, China, and the University of Electronic Science and Technology of China, Chengdu, China. He is currently a Professor with the College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China. Prof. Tan is the member of the Technical Committee of Control Theory, Chinese Society of Automation, the member of IFAC Technical Committee of Mechatronics, and the member of ASME Technical Committee of Mechatronic Systems. ...more...
Prof. Zhao-Hua Liu
IEEE Senior Member
School of Information and Electrical Engineering, Hunan University of Science and Technology, China
Areas of Expertise:
Condition monitoring and fault diagnosis, Deep learning, Fault diagnosis and fault tolerance control, Intelligent monitoring and safety control of wind power equipment
Bio:
Dr. Zhao-Hua Liu received the M.Sc. degree in computer science and engineering, and the Ph.D. degree in automatic control and electrical engineering from Hunan University, Changsha, China, in 2010 and 2012, respectively. During 2015–2016, he was a Visiting Researcher with the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K. He is currently a Professor of Control and Systems Engineering with the School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, China. He was a selected as a Hu-Xiang Excellent Young Talents of Hunan Province of China in 2018. Dr. Liu has published a monograph in the field of Biological immune system inspired hybrid intelligent algorithm and its applications, Big data intelligent analysis and advanced computing, and authored and co-authored more than 60 research papers in refereed journals and conferences, including IEEE TRANSACTIONS/JOURNAL/MAGAZINE. ...more...
Prof. Wenbin Gu
School of Mechanical and Electrical Engineering, HoHai University, China
Areas of Expertise:
Intelligent manufacturing system, Internet of Things, sensor networks and artificial intelligent optimization algorithm
Bio:
Wenbin Gu is currently a Professor with the Department of Mechanical and Electrical Engineering, Hohai University, Changzhou, China. He received the Ph.D. degree from Nanjing University of Aeronautics & Astronautics, Nanjing, China, in 2015. Funded by the China Scholarship Council, he conducted his research in the University of Illinois at Chicago (United States) as a visiting scholar from September 2016 to September 2017. Up to now, Dr. Gu has conducted several research grants as a principal investigator (PI) or co-PI, and he is the author of over 50 papers published in related international conference proceedings and journals, and is the holder of 16 patents. His research outcome can be found in international academic journals such as International Journal of Production Research, IEEE ACCESS, Journal of Systems Science and Systems Engineering, Journal of Mechanical Engineering, etc. He has served as a Reviewer of more than 10 journals.
Prof. Shunli Wang
Executive Vice President of Smart Energy Storage Institute, China
Areas of Expertise:
Modeling, state estimation, and safety management for energy storage systems
Bio:
Prof. Shunli Wang is a Professor, Doctoral Supervisor, Executive Vice President of Smart Energy Storage Institute, Academic Dean of Electric Power College at Inner Mongolia University of Technology, Academician of Russian Academy of Natural Sciences, IET Fellow, Provincial Senior Overseas Talent, Academic Leader of the National Electrical Safety and Quality Testing Center, Tianfu Qingcheng Provincial Scientific and Technological Talent, Academic and Technical Leader of China Science and Technology City, Top 2% Worldwide Scientist. His research interests include modeling, state estimation, and safety management for energy storage systems. 56 projects have been undertaken, supported by National Natural Science Foundation of China and the Provincial Science and Technology Department et al. 258 research papers have been published with RIS value of 11617 and h-index value of 29. 52 intellectual property rights have been approved. 9 monographs have been published by famous publishers of Elsevier and IET and so on.