Prof. Ling Wang, Tsinghua University, China (国家杰青_清华大学自动化系王凌教授)


Bio: Ling Wang received the B.Sc. and Ph.D. degrees from Tsinghua University, Beijing, China, in 1995 and 1999, respectively, and now is a tenured Full Professor in Tsinghua Univ. His research interests mainly include intelligent optimization, scheduling and applications. He has authored 5 academic books and more than 190 SCI-indexed papers. His publications have attracted over 16K Google Scholar Citations. He is the Editor-in-Chief of International J of Automation and Control, the Associate Editor of IEEE Trans on Evolutionary Computation, Swarm and Evolutionary Computation, and the Editorial Board Member of Memetic Computing, Sensors, Control Theory & Applications, Control and Decision, Control Engineering, System Engineering and Electronics, etc. Prof. Wang received National Natural Science Award of China (2nd Prize 2014), Natural Science Award of the Ministry of Education (MOE) of China (1st Prize 2003 and 2nd Prize 2007), Science and Technology Awards of both Beijing City (2008) and Yunnan Province (2017), and Science and Technology Award of China Simulation Federation (1st Prize 2019). He also received the Top Cited Article Award of EAAI (Elsevier) and the Best Paper Awards of Acta Automatica Sinica (2014), Control Theory & Applications (2016), Control and Decision (2017), ICMLC (2002), ICT (2006), ICIC (2011), IWACIII (2013), CPCC (2014), and ICHSA (2015). He was the recipient of National Natural Science Fund for Distinguished Young Scholars of China (2015), Young Talent of Science and Technology of Beijing (2004), New Century Excellent Talent in University by the MOE of China (2009), Academic Young Talent of Tsinghua University (2009), Young Scientist Award of CAA (2016), IEEE ICIC Outstanding Leadership Award (2018), Chinese Most Cited Researcher by Elsevier (2019) and IEEE TEVC Outstanding Associate Editor (2019).


Title: Data-driven Intelligent Engineering Optimization & Scheduling

Abstract: Optimization and scheduling are the significant issues faced by the manufacturing industries. During the past few decades, a large number of data-driven intelligent algorithms have been presented for solving the complex engineering optimization and scheduling problems (EOSPs). This talk first analyzes the complexities of the EOSPs, and then introduces a unified framework for the population-base intelligent optimization techniques from a systematic perspective and a framework of integrated intelligent optimization, and finally presents some typical research work in terms of theoretical analysis, constrained optimization and intelligent scheduling. The primary aim of this talk is to show that intelligent algorithms are powerful solution tools for solving the EOSPs, while it is more important to incorporate the problem-specific knowledge into the algorithms for solving specific problems.




Prof. Hamid Reza Karimi, Polytechnic University of Milan, Italy (意大利米兰理工大学Hamid Reza Karimi教授)


Bio: Hamid Reza Karimi received the B.Sc. (First Hons.) degree in power systems from the Sharif University of Technology, Tehran, Iran, in 1998, and the M.Sc. and Ph.D. (First Hons.) degrees in control systems engineering from the University of Tehran, Tehran, in 2001 and 2005, respectively. From 2010 to 2016, he has been Professor of Mechatronics with Department of Engineering of the University of Agder in Norway. Since 2016, he has been a professor of Applied Mechanics with the Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy. His current research interests include control systems and mechatronics with applications to automotive control systems, vibration systems and wind energy.
Prof. Karimi is currently the Editor-in-Chief of the Journal of Cyber-Physical Systems, Editor-in-Chief of the Journal of Machines, Editor-in-Chief of the International Journal of Aerospace System Science and Engineering, Editor-in-Chief of the Journal of Designs, Section Editor-in-Chief of the Journal of Electronics, Section Editor-in-Chief of the Journal of Science Progress, Subject Editor for Journal of The Franklin Institute and a Technical Editor, Moderator for IEEE TechRxiv or Associate Editor for some international journals, such as the IEEE Transactions on Fuzzy Systems, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Circuits and Systems-I: Regular Papers, the IEEE/ASME Transactions on Mechatronics, the IEEE Transactions on Systems, Man and Cybernetics: Systems, Information Sciences, IFAC-Mechatronics, International Journal of Robust and Nonlinear Control, Neurocomputing, Asian Journal of Control, Neurocomputing, Neural Networks, ISA Transactions, for instance. He is a member of Agder Academy of Science and Letters and also a member of the IEEE Technical Committee on Systems with Uncertainty, the Committee on Industrial Cyber-Physical Systems, the IFAC Technical Committee on Mechatronic Systems, the Committee on Robust Control, and the Committee on Automotive Control. Prof. Karimi awarded as the 2016-2019 Web of Science Highly Cited Researcher in Engineering and received the 2020 IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award.


Title: Vibration Control and Actuation of Large-Scale Systems

Abstract: Vibration is a phenomenon that affects system performances such as robot manipulators, bridges, buildings, towers, vehicles and aircrafts. The protection of these large-scale systems against the harmful effects of vibration has become a major field of research in recent years. In the literature of vibration control of mechanical, electrical or hydraulical systems, different damping systems, mainly passive, active and semi-active damping systems or, recently, inerter devices, have been proposed and successfully applied to tackle the vibration problem. One critical characteristic common to most of these actuators is that they, in general, exhibit nonlinear dynamics and thus complex control techniques must be employed for an appropriate performance. The main objective of this talk is to present some challenges and recent results on distributed or decentralized passive and active vibrational control schemes with a focus on simplicity, reliability, applicability and robustness of controller developments under information constraints and multiactuation schemes. In particular, to enhance the system protection, some innovative devices for the purpose of vibration mitigation in buildings through efficient control techniques will be analyzed and an integration of actuator devices with different concepts of large structural systems will be analyzed separately. The talk will be concluded with some advices on both technical and practical aspects of vibration control systems using innovative actuation devices.



Prof. Yanqiong Fei, Research Institute of Robotics, Shanghai Jiaotong University, China(上海交通大学机器人研究所费燕琼教授)


Bio: Fei Yanqiong received the M. Eng. Degree in Southeast University, Jiangsu, China, in 1998, and the Ph.D. degree in Shanghai Jiaotong University, Shanghai, China, in 2002. She is a Professor in Research Institute of Robotics, Shanghai Jiaotong University, Shanghai, China. From Sept. 2010 to Sept. 2011, she was a visiting scholar in Department of Mechanical Engineering, MIT. Her research interests include robotics, self-reconfigurable modular robots, soft robots, rehabilitation robotics. She published over 100 papers, 3 books’ chapters, 25 patents in these areas. She received the Shanghai scientific and technological progress second prize in 2009. She also received the Best Paper Awards of M2VIP (2012) and Candlelight Award Scheme(2016). She was the Recipient of American Schoolfellow Scholarship in 2000. And she received 863 high technology project advanced group award in 2000.


Title: Soft-rigid Pneumatic Lower Limb Rehabilitation Robot

Abstract: Due to the advancement of robotic technologies and the concept of the robots directly contacting with human bodies, the exoskeletons, referring to powered wearable devices for assisting movements of the human body, have been developed from academic to commercial applications in recent decades. The exoskeleton robots can be used for patients’ rehabilitation. Great successes in the rehabilitation or augmentation of the human body mobilities in therapy and normal life are predominantly achieved by the conventional rigid exoskeletons. However, the rigid exoskeletons are confronted with challenges such as poor compliance with the human body, difficult alignment with the biological joints and large weight/inertia applied on the biological extremities, degrading the wearing comfort, safety and metabolic efficiency. The field of soft robotics provides new approaches for the rehabilitation robot. The system integration, design, sensing and control of a novel modular soft-rigid pneumatic rehabilitation robot for lower limb is presented.