Zhong-Ping JIANG received the M.Sc. degree in statistics from the University of Paris XI, France, in 1989, and the Ph.D. degree in automatic control and mathematics from the Ecole des Mines de Paris (now, called ParisTech-Mines), France, in 1993, under the direction of Prof. Laurent Praly. Currently, he is a Professor of Electrical and Computer Engineering at the Tandon School of Engineering, New York University. His main research interests include stability theory, robust/adaptive/distributed nonlinear control, robust adaptive dynamic programming, reinforcement learning and their applications to information, mechanical and biological systems. In these fields, he has written five books and is author/co-author of over 450 peer-reviewed journal and conference papers. Dr. Jiang has served as Deputy Editor-in-Chief, Senior Editor and Associate Editor for numerous journals. Prof. Jiang is a Fellow of the IEEE, a Fellow of the IFAC, a Fellow of the CAA and is among the Clarivate Analytics Highly Cited Researchers.
Marianna Milanova is a Professor of the Computer Science Department at the University of Arkansas at Little Rock since 2001. She received an M.Sc. in Expert Systems and Artificial Intelligence and Ph.D. in Engineering and Computer Science from the Technical University, Sofia, Bulgaria. Dr. Milanova conducted post-doctoral research in visual perception at the University of Paderborn, Germany. Dr. Milanova has extensive academic experience at various academic and research organizations worldwide. Dr. Milanova is IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University, Ambassador. Dr. Milanova’s work is supported by NSF, NIH, DARPA, DoD, Homeland Security, NATO, Nokia Bell Lab, NJ, USA and NOKIA, Finland. She has published more than 120 publications, over 53 journal papers, 35 book chapters, and numerous conference papers and has 2 patents.
Dr. Dan Zhang is a Kaneff Professor and Tier 1 York Research Chair in Advanced Robotics and Mechatronics in the Department of Mechanical Engineering at York University. Before joining in York University in January 2016, Dr. Zhang was a Professor and Canada Research Chair in Advanced Robotics and Automation, was a founding Chair of the Department of Automotive, Mechanical, and Manufacturing Engineering with the Faculty of Engineering & Applied Science at University of Ontario Institute of Technology. He received his Ph.D. in Mechanical Engineering from Laval University, Canada, in June 2000. Dr. Zhang's research interests include robotics and mechatronics; high performance parallel robotic machine development; sustainable/green manufacturing systems; rehabilitation robot and rescue robot. Dr. Zhang’s contributions to and leadership within the field of robotic and automation have been recognized with several prestigious awards, within his own university (Kaneff Professorship, Tier 1 York Research Chair in Advanced Robotics and Mechatronics, Research Excellence Award both from university level and faculty level), the Province of Ontario (Early Researcher Award), the professional societies (Fellow of CAE, Fellow of the ASME, Fellow of the EIC and Fellow of the CSME), and federal funding agencies (Canada Research Chair in January 2009 and renewed in January 2014). Besides, he was awarded the Inaugural Teaching Excellence by the Faculty of Engineering and Applied Science of UOIT in 2006 and the Best Professor Award by UOIT Engineering Students' Society in 2012. Dr. Zhang has published 201 journal papers and 173 conference papers, 11 books, 9 book chapters and numerous other technical publications. Dr. Zhang has served as a General Chair for 51 International Conferences and delivered 94 keynote speeches. Dr. Zhang is a Fellow of the Canadian Academy of Engineering (CAE), a Fellow of the Engineering Institute of Canada (EIC), a Fellow of American Society of Mechanical Engineers (ASME), and a Fellow of Canadian Society for Mechanical Engineering (CSME), a Senior Member of Institute of Electrical and Electronics Engineers (IEEE), and a Senior Member of SME.
Kenji Suzuki, Ph.D. (by Published Work; Nagoya University) worked at Hitachi Medical Corp., Japan, Aichi Prefectural University, Japan, as a faculty member, and in Department of Radiology, University of Chicago, as Assistant Professor. In 2014, he joined Department of Electric and Computer Engineering and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured). In 2017, he was jointly appointed in World Research Hub Initiative (WRHI), Institute of Innovative Research (IIR), Tokyo Institute of Technology, Japan, as Specially Appointed Professor (equivalent to Visiting Professor). He published 330 papers (including 110 peer-reviewed journal papers). He has been actively studying deep learning in medical imaging and computer-aided diagnosis in the past 25 years. His papers were cited more than 13,000 times, and his h-index is 47. He is inventor on 30 patents (including ones of earliest deep-learning patents), which were licensed to several companies and commercialized. He published 11 books and 22 book chapters, and edited 13 journal special issues. He was awarded a number of grants as PI including NIH R01 and ACS. He served as the Editor of a number of leading international journals, including Pattern Recognition and Medical Physics. He served as a referee for 91 international journals such as Science Translational Medicine (IF: 16.8) and Nature Communications (IF: 12.4), an organizer of 62 international conferences, and a program committee member of 170 international conferences. He gave 120 invited talks and keynote speeches at international conferences. He received 26 awards, including Springer-Nature EANM Most Cited Journal Paper Award 2016 and 2017 Albert Nelson Marquis Lifetime Achievement Award.
Dr. Qiang Cheng received the BS and MS degrees from the College of Mathematical Science at Peking University, China, and the Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. Currently, he is an associate professor at the Biomedical Informatics Institute and the Department of Computer Science at the University of Kentucky. He previously worked as a faculty fellow at the Air Force Research Laboratory, Wright-Patterson, OH, and a senior researcher and senior research scientist at Siemens Medical Solutions, Siemens Corporate Research, Siemens Corp., Princeton, NJ. His research interests include data science, machine learning, pattern recognition, artificial intelligence, and biomedical informatics. He has published about 100 peer-reviewed papers in various premium venues including IEEE TPAMI, TNNLS, TSP, NIPS, CVPR, ICDM, AAAI, ICDE, CIKM, KDD, ACM TIST, and TKDD. He has a number of international patents issued or filed with Southern Illinois University Carbondale, IBM T.J. Watson Research Laboratory, and Siemens Medical.
Ramon Costa-Castelló was born in Lleida, CATALUNYA, SPAIN in 1970, obtained the master degree in computer science in 1993 from the Facultat d’Informàtica de Barcelona (FIB) from the Universitat Politècnica de Catalunya (UPC), in 2001 he obtained the PhD degree in computer science Currently, he is an Associate Professor at the Automatic Control department (ESAII).
Yu Zhang is an Assistant Professor of Bioengineering at Lehigh University, USA. He completed postdoc training at the Department of Psychiatry and Behavior Sciences, Stanford University (2017-2020) andthe Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill (2016-2017). He was a Visiting Scientist at RIKEN Brain Science Institute, Japan. From 2013 to 2016, he worked as an Assistant Professor in the Department of Automation at ECUST, China where he got a Ph.D. degree in Control Science and Engineering in 2013. From 2010 to 2012, he was a Research Associate with the RIKEN BSI, Japan. He is the author of over 100 technical papers that have been published in prestigious journals, such as Nature Biomedical Engineering, Nature Biotechnology, Nature Human Behaviour, Proceedings of the IEEE, IEEE TCYB, IEEE TNNLS, IEEE TNSRE, and IEEE TBME. His research interests include computational neuroscience, brain network, pattern recognition, machine learning, signal processing, artificial intelligence, brain-computer interface, medical imaging computing.
Prof. Burschka (b. 1966) conducts research into sensor systems in robotics and human-machine interfaces. Video-based navigation is one of his particular interests. This involves simulation of complex sensor systems through the analysis and fusion of sensor properties of physical sensor units and 3D reconstruction from the fusion of multimodal sensor data. After completing his studies in electrical engineering and his doctorate (1998) at TUM, Prof. Burschka became a postdoctoral researcher at Yale University, New Haven, USA. There, he made advancements in the development of laser-based map generation and position tracking. After that, he worked as an associate research scientist at Johns Hopkins University, Baltimore, USA. His research topic was sensor-based navigation and 3D reconstruction (1999-2005). He was appointed assistant research professor at the university in 2003. Since 2005, Prof. Burschka has held the position of associate professor of robotics and embedded systems at TUM. He works closely with the Institute for Robotics and Mechatronics of the German Aerospace Center (DLR) in Oberpfaffenhofen.
Guangming Xie is a full professor in the Department of Advanced Manufacture and Robotics, College of Engineering, Peking University, China. He received a B.S. degree in applied mathematics, and electronic and computer technology, the M.E. and Ph.D. degrees in control theory and control engineering from Tsinghua University, China, in 1996, 1998, and 2001, respectively. His research interests include biomimetic underwater robots, multiple robots collaboration, complex dynamical system and control theory. The overall objective of the research in Xie’s group is to further the understanding of complex dynamical systems in nature and engineering, to develop more intelligent robot and more advanced control technology for real applications. He has published more than 200 peer-reviewed papers. He is the Editor in Chief of Mathematical Problems in Engineering and editors of several journals. He is the founder of the International League of Underwater Robot and the International Underwater Robot Competition. More than 100 universities around the world have attended the competition.