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 Licheng Jiao
Professor in Xidian University, China. IEEE fellow
Licheng Jiao (SM'89) received the B.S. degree from Shanghai Jiaotong University, Shanghai, China, in 1982, the M.S. and Ph.D. degrees from Xi'an Jiaotong University, Xi'an, China, in 1984 and 1990, respectively. From 1990 to 1991, he was a postdoctoral Fellow in the National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, China.Research Areas: High-performance embedded intelligent systems and their applications, Industrial Internet of Things, Intelligent imaging and sensing.
Since 1992, Dr. Jiao has been a Professor in the School of Electronic Engineering at Xidian University, Xi'an, China, Currently, he is the Dean of the Electronic Engineering School and the Director of the Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China at Xidian University, Xi'an, China. In 1992, Dr. Jiao was awarded the Youth Science and Technology Award. In 1996, he was granted by the Cross-century Specialists Fund from the Ministry of Education of China. And he was selected as a member of the First level of Millions of Talents Project of China from 1996. In 2006, he was awarded the First Prize of Young Teacher Award of High School by the Fok Ying Tung Education Foundation. From 2006, he was selected as an Expert with the Special Contribution of Shaanxi Province.
Dr. Jiao is a Senior Member of IEEE, member of IEEE Xi'an Section Execution Committee and the Chairman of Awards and Recognition Committee, vice board chairperson of Chinese Association of Artificial Intelligence, councilor of Chinese Institute of Electronics, committee member of Chinese Committee of Neural Networks, and expert of Academic Degrees Committee of the State Council.
His research interests include image processing, natural computation, machine learning, and intelligent information processing. He has charged of about 40 important scientific research projects, and published more than 20 monographs and a hundred papers in international journals and conferences.
Professor James Kwok
Professor in Hong Kong University of Science and Technology, IEEE fellow
James Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He is an IEEE Fellow. Prof Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology and is now a Professor in the Department of Computer Science and Engineering. He served/is serving as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, International Journal of Data Science and Analytics (JDSA), Governing Board Member, and Vice President for Publications of the Asia Pacific Neural Network Society (APNNS). He also served/is serving as Area Chairs of major machine learning / AI conferences including NIPS (2015,2016,2018), ICML (2015-2019), IJCAI (2017,2018), AAAI (2019) and ECML (2011,2012).
Research Areas: Machine learning, Deep learning, Kernel methods, Artificial intelligence
Professor Jianguo Ma
Professor in Guangdong University of Technology, China. IEEE fellow
Research Areas: High-performance embedded intelligent systems and their applications, Industrial Internet of Things, Intelligent imaging and sensing.
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 Guoyin Wang
Chongqing University of Posts and Telecommunications
Professor Guoyin Wang was born in Chongqing, China, in 1970. He received the bachelor’s degree in computer software, the master’s degree in computer software, and the Ph.D. degree in computer organization and architecture from Xi’an Jiaotong University, Xi’an, China, in 1992, 1994, and 1996, respectively. He worked at the University of North Texas, USA, and the University of Regina, Canada, as a visiting scholar during 1998-1999. Since 1996, he has been working at the Chongqing University of Posts and Telecommunications, where he is currently a professor and PhD supervisor, the Chairman of the Institute of Computer Science and Technology (ICST), and the Executive Dean of the College of Computer Science and Technology. He was appointed as the Director of the Institute of Electronic Information Technology, Chongqing Institute of Green and Intelligent Technology, CAS, China, in 2011. He is also a part-time professor with the Southwest Jiaotong University, Xi’an Jiaotong University, Shanghai Jiaotong University, Xidian University, and University of Electronic Science and Technology of China. Professor Wang is the Chairman of the Steering Committee of International Rough Set Society (IRSS), Chairman of the Rough Set Theory and Soft Computation Society, Chinese Association for Artificial Intelligence (CRSSC). He served or is currently serving on the program committees of many international conferences and workshops, as program committee member, program chair or co-chair. He is an editorial board member of several international journals. Professor Wang has won many governmental awards and medals for his achievements. He was named as a national excellent teacher and a national excellent university key teacher by the Ministry of Education, China, in 2001 and 2002 respectively. Professor Wang was elected into the Program for New Century Excellent Talents in University by the Ministry of Education of P R China in 2004, won the Chongqing Science Fund for Distinguished Young Scholars in 2008, was selected as the national talent of the "New Century Hundred, Thousand and Ten Thousand Talents Project" in China in 2009. He has delivered many invited talks at international and national conferences, and has given many seminars in USA, Canada, Poland, and China. The teaching group directed by Professor Wang was elected as a national excellent teaching team of China in 2010. The institute (ICST) directed by Professor Wang was elected as one of the top ten outstanding youth organizations of Chongqing, China, in 2002. The intelligent information processing research team directed by Professor Wang was elected as an innovative team of Chongqing in 2010. Professor Wang is the author of 7 books, the editor of dozens of proceedings of international and national conferences, and has over 200 reviewed research publications. His books and papers have been cited over 6000 times. His research interests include rough set, granular computing, knowledge technology, data mining, machine learning, neural network, soft computing, cognitive computing, etc.
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 Andre Rosendo
Shanghaitech University, China
Andre Rosendo received his B.Eng in Mechanical Engineering at UFBA, Brazil, and his M.Sc. and Ph.D. in Information Science at Hokkaido University (2011) and Osaka University (2014) under the fully funded MEXT scholarship. He was a postdoctoral researcher at the University of Cambridge from 2015 until 2017, and is currently an Assistant Professor and Director of the Living Machines Laboratory. His research interests are related to evolutionary robotics, soft manipulation and robotic locomotion. Robots are increasingly present in our lives, and they must be safe to interact with humans while also being capable of adapting to our world. Andre's research combines walking robots capable of intelligently creating themselves, with safe humans/environment interactions through soft materials. His research output was recognized by one special with Discovery Channel, two IEEE Spectrum articles (here and here), and online articles (ENG, FRA, ITA, GER, CHI, POR, RUS, etc.). He has published more than 30 scientific papers in more than 10 IEEE conferences, was a program committee for MOD 2017, a keynote speaker for ICINCO 2017, and currently holds an Erdos number of 5. He was a Guest Editor for the IEEE Robotics and Automation Magazine and a referee for Science Robotics, IEEE Transactions on Robotics, IEEE Trans. on Mechatronics, IEEE Intl. Conf. on Intelligent Robots and Systems, and IEEE Intl. Conf. on Automation and Robotics.
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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