Speaker
Sunan Huang, Senior Research Scientist, National University of Singapore, Singapore
Sunan Huang
received his Ph.D degree from Shanghai Jiao Tong University, 1994. From
1995 to 1997, he was a postdoctoral fellow at the Dept. of Electrical Engineering and Computer Sciences,
University of California at Berkeley. During 1997-2012, he was a research
fellow in the Dept. of Electrical and Computer Engineering, National University
of Singapore. During 2013-2014, he was a distinguished professor in Hangzhou
Dianzi University. He is currently a senior research scientist in Temasek
Laboratories, National University of Singapore. He has co-authored several
patents, more than 150 journal papers (google scholar citations 6230, h-index 44),
and five books entitled “Intelligent
Fault Diagnosis and Accommodation Control” (CRC Press,2020), "Precision Motion
Control" (2nd Edition, Springer) which has been translated into Chinese by
China Machine Press in 2011, "Modeling and Control of Precise
Actuators" (CRC Press), "Applied Predictive Control" (Springer)
and "Neural Network Control: Theory and Applications"(Research
Studies Press). He is a co-recipient
of 2016 Excellent Paper Award at Measurement and
Instrument, Journal of Application of Electronic Technique, a co-recipient of
2009 Best Paper Award at the IEEE International
Conference on Mechatronics and Automation, a co-recipient of 2008 Best
Student Paper Award at the IEEE International Conference on Automation and Logistics, and a recipient of
1992 Professor Chia-Chi Tsui Control Theory
and Applications Paper Prize, Shanghai Jiao Tong University. He also received
Supervisor Recognition Award for Champion Team (TSS 1st Singapore Engineering
Design Challenge) in 2005 and Outstanding Reviewer Award for his contributions
on Mechatronics Journal, Elsevier. He
is also a Reviewer Editor, Journal of Frontiers in Robotics and AI, the Editorial Member of Robotics (MDPI) and the Editorial Member,
Journal of Advances in Mechanical Engineering (SAGE). He is also a Co-Chair for the Fourth International Conference on Mechanical, Electric
and Industrial Engineering (MEIE2021).
Speech title: Fault-tolerant control of unmanned aerial vehicles.
Assoc. Prof. Giuseppe Carbone, University of Calabria, Italy
Giuseppe Carbone has got his PhD degree in Robotics from the University of Cassino, Italy, in 2004 where he has been Assistant Professor and Key Member of the Laboratory of Robotics and Mechatronics (LARM) for about 15 years. He has been visiting professor at Universidad Carlos III of Madrid, Beihang University, Waseda University, and several other well-reputed International Research Institutions. From 2018 to 2021 he has been Visiting professor at Sheffield Hallam University, UK where he served as Senior Lecturer and member of the Executive board of Sheffield Robotics from 2015 to 2017. From 2018 he has been Associate Professor at University of Calabria, Italy. From 2020 he is Chair of IFToMM TC on Robotics and Mechatronics. Among others he is Treasurer of the IFToMM Italy Member Organization, Editor-in-Chief of Robotica Journal (Cambridge Univ. Press), Section EIC of Journal of Bionic Engineering, MDPI Robotics, MDPI Machines, Technical Editor of IEEE/ASME Transactions on Mechatronics. He published over 400 research paper outputs. He has been PI or co-PI of more than 20 projects including 7th European Framework and H2020 funds. He has received more than 20 Best Paper awards and more than 10 International Best Patent awards.
Speech title: ON THE DESIGN OF ASSISTIVE ROBOTICS SOLUTIONS
Abstract: The aging of population and decline of NHS resources in Europe is opening new problems in healthcare that might be conveniently addressed with robotics solutions, in a near future. This presentation provides a quick overview of the open problems and solutions by focusing to robotic assisted post-stroke rehabilitation. Several design solutions will be outlined and discussed by referring to the outcomes of AGEWELL, a European Co-fund project led by prof. Carbone in collaboration with CESTER laboratory, TU Cluj-Napoca, Romania. Some proposed solutions are outlined as referring to LAWEX, ASPIRE, and PaRReX patented designs. This exploits the possibilities of novel robotic architectures. For instance, the structure of LAWEX is a non-conventional cable-driven open architecture, which allows accessibility of patients under treatment. Using wristbands, cables are connected to the end-effector which covers the limb to be trained. ASPIRE is a spherical parallel architecture intended for shoulder assistance as it can perform multiple feasible shoulder motion ranges. PaRRex can be seen as a wearable exoskeleton with modular structure, consisting of two parallel modules, one for the forearm mobilization (elbow flexion) and the pronation/supination, the second parallel module is designed to mobilize the wrist (flexion/extension and abduction/ adduction).
Assoc. Prof. Angelo Genovese, Università degli Studi di Milano, Italy.
Angelo Genovese received the B.Sc., M.Sc., and Ph.D. degrees in Computer Science in 2007, 2010, and 2014 respectively, from Università degli Studi di Milano, Italy. Since 2022 he is Associate Professor at Università degli Studi di Milano, Italy, Department of Computer Science. From 2019 to 2022 he was Assistant Professor at the Università degli Studi di Milano, Italy. Since 2015 he is a member of the Industrial, Environmental, and Biometric Informatics Laboratory (IEBIL). He was a Visiting Researcher at the University of Toronto, ON, Canada from June 2017 to August 2017 and from December 2019 to March 2020. His research interests include signal and image processing, pattern recognition, three-dimensional reconstruction, artificial intelligence technologies, design methodologies, and algorithms for self-adapting systems, applied to industrial and environmental monitoring systems, medical imaging, and biometric recognition. In the biometrics field, his focuses are on highly usable touch-based and touchless recognition based on palmprint and fingerprint, as well as recognition based on soft biometric traits.He is an Associate Editor of the Springer Journal of Ambient Intelligence and Humanized Computing (AIHC) and Elsevier Array. He was a Member of the Editorial Committee for the Elsevier Book Trends in Deep Learning Methodologies. He has served as Program Chair/Co-Chair for the IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) (2020, 2019, 2018) and the IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) (2018, 2017). He is a Member of the IEEE, the IEEE Biometrics Council, the IEEE Computational Intelligence Society Task Force on Deep Learning, and the GRIN (Gruppo di Informatica). He is the Chair of the IEEE Italy Section Systems Council Chapter and the Co-Chair of the IEEE Instrumentation and Measurement Society Technical Committee TC-22 - Intelligent Measurement Systems.
Speech title: Artificial Intelligence for Industrial and Environmental Applications
Assoc. Prof. Sansanee Auephanwiriyakul, Chiang Mai University, Thailand
Dr. Sansanee Auephanwiriyakul obtained a bachelor degree from department of Electrical Engineering, Chiang Mai University in 1993. She earned master degree majoring in Electrical and Computer Engineering at University of Missouri-Columbia in 1996. After receiving her Ph.D. degree in Computer Engineering and Computer Science at the same university in 2000, she worked as a post-doctoral fellow at the Computational Intelligence Laboratory, University of Missouri-Columbia. Currently, she is an Assistant Professor at Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Thailand. She is also with Biomedical Engineering Center, Chiang Mai University. Her research interests include neural networks, fuzzy set theory, linguistic algorithms, image processing, neural networks, medical image processing.
Wuhan, China