Professor Songlin Feng
Shanghai Advanced Research Institute, Chinese Academy of Sciences, China
Mr. Feng started his professional career in July 1983. Receiving his Bachelor’s degree in the Department of Physics of Wuhan University in 1983, he served as the Teaching Assistant in Wuhan University from 1983 to 1986. He received his Master’s degree in 1987, Ph.D. in 1990, and the Postdoctoral degree from 1990 to 1992, all from University of Paris VII of France. After that, he served as Associate Researcher, Researcher (since October 1995), Director Assistant, Vice Director (since October 1997), and Ph.D. Supervisor of Institute of Semiconductors CAS, as well as Vice Director and Director of State Key Laboratory of Semiconductor Superlattices of the Institute at the same time. He is now Director of Shanghai Institute of Microsystem and Information Technology, CAS, as well as the Director of the Microsystem R&D Center, CAS, and National 863 Expert, and 973 Project Expert, etc. at the same time.
He has made several significant achievements in physics, materials and devices of low-dimensional semiconductors. He adopted the DLTS method innovatively to study the deep energy level in superlattices, achieving results widely acknowledged among peers. As one of the pioneers in the research of self-assembled growth of quantum dots in China, he eliminated people’s doubts upon quantum dot lasers with experimental evidences, and developed a new approach to realize consistency in limited energy level by controlling longitudinal dimension of quantum dot. He improved the quality of materials substantially, and realized the control of laser wavelength. He established the only SPM－MBE integrated system in China, and made distinctive achievements in the research of low-dimensional material growth mechanism.
His current research field covers microsystem technology, quantum devices and physics, low-dimensional semiconductor materials, devices and physics.
Professor Shyi-Ming Chen
Chair Professor in National Taiwan University of Science and Technology, Taiwan. IEEE fellow
Research Areas: Fuzzy Systems, Information Retrieval, Knowledge-Based Systems, Artificial Intelligence, Data Mining, Genetic Algorithms
Shyi-Ming Chen received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is currently a Chair Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. From August 2007 to July 2010, he was the Dean of the College of Electrical Engineering and Computer Science, Jinwen University of Science and Technology, New Taipei City, Taiwan. From August 2011 to July 2012, he was the Vice President of the National Taichung University of Education, Taichung, Taiwan.
Professor Chen is an IEEE Fellow, an IET Fellow and an IFSA Fellow. He was the President of the Taiwanese Association for Consumer Electronics (TACE) from December 2008 to December 2012 and from December 2014 to December 2016. He was the President of the Taiwanese Association for Artificial Intelligence (TAAI) from January 2005 to January 2009. He has published more than 500 papers in referred journals, conference proceedings and book chapters. He has received numerous honors and awards, including the 2001 Distinguished Talented Person Award for Distinguished Contributions in Information Technologies, the 2002 Distinguished Electrical Engineering Professor Award granted by the Chinese Institute of Electrical Engineering (CIEE), the 2008 Distinguished Engineering Professor Award granted by the Chinese Institute of Engineers (CIE), and the 2013 Distinguished Contributions Award of the Taiwanese Association for Consumer Electronics (TACE). He is an Editor-in-Chief of the journal of Granular Computing (Published by Springer). He was a 2014 Fellows Evaluation Committee Member of the IEEE Systems, Man, and Cybernetics Society.
Professor Rongxing Li
Chief Scientist in Tongji University, ASPRS Fellow, ASCE Fellow
欧洲航天局(ESA)火星探测计划(ExoMars 2016 Mission) PanCam 科学团队成员(2004- )，美国航天局火星探测计划(MER Mission，Participating Scientist)科学家，美国航天局月球探测计划(LRO Mission，Participating Scientist)科学家，美国航天局月球宇航员导航系统研究项目(LASOIS)首席科学家；
Dr. Rongxing (Ron) Li is director of the Mapping and GIS Laboratory at The Ohio State University. He is a Participating Scientist of both the Mars Exploration Rover 2003 and the Lunar Reconnaissance Orbiter missions, a member of the Mars Exploration Program Geodesy and Cartography Working Group, and a collaborator of the Mars Express HRSC Photogrammetric and Cartographic Processing Working Group. From 2004-2008 Dr. Li was Chair of the ISPRS Inter-Commission Working Group I/V “Autonomous Vehicle Navigation”, and from 1996-2004 he chaired the ISPRS Working Group II/1 “Real-time Mapping Technology”. From 2002-2003 he was a member of the Committee on National Needs for Coastal Mapping and Charting, National Academies of Sciences. Since 2008, Dr. Li has been Editor-in-Chief of the international Journal of Marine Geodesy, for which he was previously an associate editor and a guest editor of three Special Issues on Coastal and Marine GIS. His research interests include planetary exploration, digital mapping, spatial data structures, coastal and marine GIS, photogrammetry and remote sensing.
Professor Feng Gao
School of Mechanical Engineering, Shanghai Jiao Tong University, China
The major achievements obtained include the three aspects , which are the theory, invention and application of parallel robots. In the theory aspect, the physical model of the solution space for mechanical dimensional design of macro and micro parallel manipulators, the special Gf coordinates for the type synthesis of parallel robots and the criteria for design of reducible parallel mechanisms were proposed. More than 123 papers and 3 books about parallel manipulators were published . In the invention aspect, the 116 invention patents of China were applied, which are related to many kinds of parallel robots, parallel machine tools, micro parallel manipulators, multi-axis force/torque sensors with the parallel structures. And 86 of them were authorized. In the application aspect, the 6-axis micro force and torque sensors with the Stewart platform structures, the 6-axis mouse for VR, the 5-DOF parallel machine tool, 6-axis micro-parallel manipulator were developed.
Research interests: Parallel robotic mechanism design theory, Multi-axis force/torque sensors, Multi-DOF parallel Micromanipulators, Robots for micro cutting and micro cloning of chromosomes
Professor Peter Bradley Shull
Shanghai Jiao Tong University, China
Prof. Shull received a PhD and MS degree from the Department of Mechanical Engineering, Stanford University, USA in 2012 and 2008. Now, he is working with the School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China as the Associate Professor. He is the director of the Wearable Systems Lab. His laboratory develops wearable systems to explore principles of human movement and movement modification. We combine robotic, haptic, biomechanics, and machine learning principles to create unique sensors, real-time models, sensor fusion algorithms, and novel feedback devices. We focus on human movement in laboratories, in clinics, and in natural environments such as a home or office. Our target applications are in medicine such as osteoarthritis and stroke and athletics such as basketball and running.
Professor Xiaojun Wu
Distinguished Professor of Pattern Recognition & Computational Intelligence
School of IoT (Internet of Things) Engineering, Jiangnan University Director, Institute of Science & Technology, Jiangnan University
Xiao-Jun Wu received his B.S. degree in mathematics from Nanjing Normal University, Nanjing, PR China in 1991 and M.S. degree in 1996, and Ph.D. degree in Pattern Recognition and Intelligent System in 2002, both from Nanjing University of Science and Technology, Nanjing, PR China, respectively. He was a fellow of United Nations University, International Institute for Software Technology (UNU/IIST) from 1999 to 2000. From 1996 to 2006, he taught in the School of Electronics and Information, Jiangsu University of Science and Technology where he was an exceptionally promoted professor. He joined School of Information Engineering (now renamed as School of IoT Engineering), Jiangnan University in 2006 where he is a distinguished professor of level two. He won the most outstanding postgraduate award by Nanjing University of Science and Technology. He has published more than 200 papers in his fields of research, among which 60 papers have indexed by SCI and more than 100 papers have been indexed by EI. He has won different awards including international award, national award and provincial award for his research achievements. He was a visiting postdoctoral researcher in the Centre for Vision, Speech, and Signal Processing (CVSSP), University of Surrey, UK from 2003 to 2004, under the supervision of Professor Josef Kittler. His current research interests are pattern recognition, computer vision, fuzzy systems, neural networks and intelligent systems. He is an associate editor of International Journal of Computer Mathematics , review editor of Frontiers in Neurorobotics, and editor of Journal of Algorithm and Computational Technology respectively. He is in charge of Wuxi IEEE Smart Cities Pioneering Program, IEEE Smart Cities Initiative.
Professor Wei Chen
Director Center for Intelligent Medical Electronics (CIME)
Department of Electronic Engineering School of Information Science and Technology, Fudan University, Shanghai, China
Prof. Wei Chen received her B. Eng. degree in 1999 and M. Eng. degree in 2002 on telecommunication systems and smart sensor systems, from School of Electrics and Information Engineering, Xian Jiaotong University, China. She obtained her Ph.D. degree in 2007 on performance monitoring and impairment mitigation for optical communication systems, from the Department of Electrical & Electronics Engineering, The University of Melbourne, Australia. She worked at Bell Laboratories Germany, Alcatel-Lucent, Stuttgart, Germany as an intern in 2005. From 2007 to 2015, she was an Assistant Professor at Eindhoven University of Technology, the Netherlands. Since Oct. 2015, she has been a full professor at Department of Electronic Engineering, School of Information Science and Technology, Fudan University. She is Director of Center for Intelligent Medical Electronics (CIME). She is a Senior Member of IEEE and associate editor of IEEE Journal on Biomedical Health Informatics (J-BHI).
Prof. Chen has been carring out research in the multidisciplinary areas of wireless sensor systems, patient health monitoring, ambient intelligent system designand digital signal processing for performance optimization. The application areas include neonatal monitoring, elderly care, smart rehabilitation, interactive and cognitive environments. She has graduated five PhD students and five PDEng (Professional Doctorate in Engineering) students and among them three were awarded Cum Laude PhD (top 5%).
Research interests: medical monitoring system design using wearable sensors, patient health monitoring, brain activity monitoring, wireless body area networks, wearable sensor systems, internet of things, ambient intelligence, personalized and smart environment, smart sensor systems, and signal processing.
Professor Jianhua Zhang
Deputy Head of OsloMet AI Lab Oslo Metropolitan University, Norway
Dr Zhang has published 4 books, 10 invited book chapters, and over 130 technical papers. He serves as Chair of IFAC TC on Human-Machine Systems and Associate Editor for 3 SCI-indexed international journals: Frontiers in Neuroscience, Cognitive Neurodynamics (Springer), and Cognition, Technology & Work (Springer). He served as IPC Co-Chair for IFAC LSS'13 and HMS'16, IPC Chair for IFAC HMS'19, and Technical Associate Editor for 19th and 20th IFAC World Congress. He was an IPC member or keynote speaker for many scientific conferences.
Research interests: Intelligent systems and control, biomedical system modeling and control, biosignal processing and data mining, complex human-machine systems, neuroinformatics and neuroengineering, and pattern recognition and machine learning.
Professor Kun Zhu
Nanjing University of Aeronautics and Astronautics
Dr. Kun Zhu is currently a Professor in the School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China. He received his Ph.D. degree in 2012, under the supervision of Prof. Dusit Niyato(IEEE Fellow) and Prof. Ping Wang, from School of Computer Engineering, Nanyang Technological University, Singapore. He was a research fellow with the Wireless Communications, Networks, and Services Research Group, under the supervision of Prof. Ekram Hossain (IEEE Fellow),in University of Manitoba, Canada.
Research interests: Next generation wireless communications network (5G), Self-organizing networks, Internet of things
Professor Yanghua Xiao
Fudan University, China
Yanghua Xiao is a full professor at Fudan University. His research interest includes big data management and mining, graph database, knowledge graph. He was a visiting professor of Human Genome Sequencing Center at Baylor College Medicine, and visiting researcher of Microsoft Research Asia. He won the Best Phd Thesis Nomination of CCF (Chinese Computer Federation) in year 2010，ACM(CCF) Shanghai distinguished young scientists nomination award.
Professor Jinyuan Jia
Director, Smart3D Media Lab School of Software Engineering, Tongji University, China
Research interests: Computer Graphics, CAD, Geometric Modeling, Web3D, Mobile VR, Game Engine, Digital Entertainment, Computer Simulation, Peer-to-Peer Distributed Virtual Environment
Professor Xiumin Fan
Shanghai JiaoTong University, China
1998-1999，Lecturer, Department of Mechanical Engineering, Shanghai JiaoTong University 2000-2002，Associate Professor, Department of Mechanical Engineering, Shanghai JiaoTong University 2002-，Professor, Department of Mechanical Engineering, Shanghai JiaoTong University
Reasearch interests: Augment reality aided assembly, Virtual assembly & virtual maintenance simulation evaluation, Manufacturing system integrated optimization, Man-machine work study
Professor Chen Gong
Nanjing University of Science and Technology, China
He received his B.E. degree from East China University of Science and Technology (ECUST) in 2010, and dual Ph.D. degree from Shanghai Jiao Tong University (SJTU) and University of Technology Sydney (UTS) in 2016, under the supervision of Prof. Jie Yang and Prof. Dacheng Tao, respectively. Currently, He is a full professor in the School of Computer Science and Engineering, Nanjing University of Science and Technology. His research interests mainly include machine learning, data mining, and learning-based vision problems. He has published more than 30 technical papers at prominent journals and conferences such as IEEE T-NNLS, IEEE T-IP, IEEE T-CYB, IEEE T-CSVT, IEEE T-MM, CVPR, AAAI, IJCAI, ICDM, etc. I received the “National Scholarship” awarded by the Ministry of Education in 2013 and 2014, the “Excellent Self-financed Overseas Student Scholarship” awarded by China Scholarship Council in 2015, and the “IBM Excellent Student Scholarship” in 2015. He is also the recipient of “SJTU Excellent Doctorial Dissertation” awarded by Shanghai Jiao Tong University， and “Excellent Doctorial Dissertation” awarded by CAAI.
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