Keynote Speakers


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, IET Fellow, IFSA 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 510 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) and is an Associate Editor-in-Chief of Applied Intelligence. 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
He received his B.Sc. degree from Lanzhou University, China, in 1982 and his doctoral degree in engineering from Duisburg University, Germany. His research interests are RFICs and RF-integrated systems for wireless microwave electronics and terahertz microelectronic systems, as well as the Internet of Things. In these areas, he has published more than 300 technical papers and four books, has six U.S. patents granted, and has 30 filed/granted China patents.
Dr. Ma served as associate editor of IEEE Microwave and Wireless Components Letters from January 2003 to December 2005. He was a member of the IEEE University Program Ad Hoc Committee from 2010 to 2012. He has also served on the editorial board of Proceedings of the IEEE since January 2013.
He was named Changjiang Professor by the Ministry of Education of China and also awarded the Distinguished Young Investigator prize by the National Natural Science Foundation of China.

Professor Rongxing Li
Chief Scientist in Tongji University, ASPRS Fellow, ASCE Fellow

Professor Guoyin Wang
Chongqing University of Posts and Telecommunications

Guoyin Wang received the B.E. degree in computer software, the M.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, Chongqing, China, where he is currently a Professor and a Ph.D. supervisor, the Director of the Chongqing Key Laboratory of Computational Intelligence, and the Dean of the Graduate School. His research interests include data mining, machine learning, rough set, granular computing, cognitive computing, etc. Dr. Wang was the President of the International Rough Set Society (IRSS) 2014-2017. He is a Vice-President of the Chinese Association for Artificial Intelligence (CAAI), and a council member of the China Computer Federation (CCF).

Professor Feng Gao
School of Mechanical Engineering, Shanghai Jiao Tong University, China
(973计划)首席科学家


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.

Speech Title: Artificial Intelligence for Wearable Hand Gesture Recognition

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 Yulin Wang
Wuhan University, China

Prof. Yulin Wang is a full professor and PhD supervisor in International School of Software, Wuhan University, China. He got PhD degree in 2005 in Queen Mary, University of London, UK. Before that, he has worked in high-tech industry for more than ten years. He has involved many key projects, and hold 8 patents. He got his master and bachelor degree in 1990 and 1987 respectively from Xi-Dian University, and Huazhong University of Science and Technology(HUST), both in China. His research interests include digital rights management, digital watermarking, multimedia and network security, and signal processing. In recently 10 years, Prof. Wang has published as first author 3 books, 40 conference papers and 45 journal papers, including in IEEE Transactions and IEE proceedings and Elsevier Journals. Prof. Wang served as editor-in-chief for International Journal of Advances in Multimedia in 2010. He served as reviewer for many journals, including IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Elsevier Journal of Information Sciences. He served as reviewer for many research funds, including National High Technology Research and Development Program of China ( ‘863’ project). Prof. Wang was the external PhD adviser of Dublin City University, Ireland during 2008-2010. He was the keynote speakers in many international conferences. He bas been listed in Marcus ‘who’s who in the world’ since 2008.


Speech Title: Image Authentication and Tamper Localization

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.

Speech Title: Intelligent Wellness Sensing


Professor Mingyi He
Northwestern Polytechnical Univ, China, APSIPA TMcmt Chair

Speech Title: Intelligent Vision: Problems, Progress and Prospect
Mingyi He, received B.Eng in Electronic Engineering (1982) and M.Eng in Signal Processing (1985) from Northwestern Polytechnical Univ. (NPU) and PhD in signal and information processing-SIP (1994) from Xidian Univ., China. Since 1985, he has been with the electronics and information department, NPU, where he has been a full professor since 1996, chairman of the department (2003-2012). He is the founder and director of Shaanxi key lab and international center for information acquisition and processing. He is also the director and chief scientist of the NPU (multi-school) center for earth observation research (2011-). He held positions of a visiting scholar in Adelaide univ. (1989-1990) and visiting professor in Sydney univ. (2011), Australia.
Research areas: Intelligent vision (machine vision and intelligent processing), Neural network signal processing, Multi-view and 3D vision, Hyperspectral sensing and image processing, Machine learning.
Dr He has been awarded 15 prizes/certificates from Shaanxi province, Ministry of education and the State council; 5 international academic prizes including CVPR 2012 best paper, APSIPA 2017 machine/deep learning best paper. Dr He has been a member of the advisory committee of China national council for higher education on electronics and information, NSFC subject evaluation expert group, Chinese lunar exploration expert group; the vice-director of spectral imaging earth observation committee of China committee of international digital earth society, the vice-president of space remote sensing society in Chinese society of astronautics (CSA), the vice-president and SIP committee chairman of Shaanxi institute of electronics; member of APSIPA (Asia-Pacific Signal and Information Processing Association) BoG and the technical committee chair of SIPTM (2018-). He is an associate editor or guest editor for IEEE TGRS, JSTARS, APSIPA TSIP etc.


Speech Title: Intelligent Vision: Problems, Progress and Prospect

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.


Speech Title: Structure-Aware Positive and Unlabeled Learning

Professor Zhiyong Yuan
Wuhan University, China
Zhiyong Yuan is a professor in the School of Computer, Wuhan University. His research interests include virtual reality, human-computer interaction, and machine learning. 

Speech Title: Research on Immersive Magnetic Levitation Visuo-Haptic Interaction for Virtual Reality and Virtual Surgery

Professor Ruidong Wu
Huazhong University of Science and Technology, China
Affiliation: Key Laboratory of Image Processing and Intelligent Control; Ministry of Education, Huazhong University of Science and Technology, Wuhan, China
Dongrui Wu received the B.E. degree in automatic control from the University of Science and Technology of China, Anhui Sheng, China, in 2003, an M.E. degree in electrical engineering from the National University of Singapore, Singapore, in 2005, and the Ph.D. degree in electrical engineering from the University of Southern California, CA, USA, in 2009.,He is now a Full Professor with the School of Automation, Huazhong University of Science and Technology, Wuhan, China. His research interests include affective computing, brain-computer interface, computational intelligence, and machine learning. He has authored more than 100 publications, including a book entitled Perceptual Computing (Wiley-IEEE, 2010).,Dr. Wu was the recipient of the IEEE CIS Outstanding Ph.D. Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the NAFIPS Early Career Award in 2014, and the IEEE SMC Society Early Career Award in 2017. He is an Associate Editor for the IEEE Transactions on Fuzzy Systems, the IEEE Transactions on Human-Machine Systems, and the IEEE Computational Intelligence Magazine.

Speech
Title: Optimize TSK Fuzzy Systems for Big Data Regression Problems

Professor Youquan Liu
Chang'an University, China
Liu Quanquan, director of CUDA Research Center of Chang'an University, Member of China Computer Society, Vice President of the Graduate School in Chang'an University. 
He graduated from the Software Research Institute of the Chinese Academy of Sciences in 2005. He was a senior software engineer at American Ageia Technology Co., Ltd. (acquired by NVIDIA in 2008), a postdoctoral researcher at Rensselaer Polytechnic Institute, and an assistant researcher at the Software Institute of the Chinese Academy of Sciences and the University of Macau. He joined the Department of Computer Science at Chang'an University in 2008 and was a visiting scholar at Ohio State University in 2014.

Speech Title: Use AI and AR to help people interact with computer or other people