Prof. Leyi Wang
IEEE Fellow, Department of Electrical and Computer Engineering, Wayne State University, USA
Title: Embracing New Paradigms of Data- and Complexity-Based Integration of Control, Communications, and Computing in Network Systems
Modern systems are dominantly characterized by interconnected network systems. They are exemplified by power grids, electric vehicle charging networks, edge computing, renewable generators and controllable loads, autonomous vehicles, smart buildings, smart cities, gene networks, energy and material flow networks, to name just a few. Management of such network systems encounters fundamental issues of information, uncertainty, and complexity, and demands integration of control, communications, and computing.
In this presentation, we will highlight some key motivations and critical issues in networked systems, and explain the importance in pursuing data- and complexity-based approaches. In particular, we will briefly discuss some recent advances in this direction, including data-size reduction in system identification, data transfer frequency reduction in estimation, data volume reduction in decision-based methodologies for modeling, and data travel distance reduction in distributed optimization and control strategies. A few cases will be used to illustrate how communication system properties and uncertainties can impact safety and control performance of network systems.
Le Yi Wang received the Ph.D.
degree in electrical engineering from McGill University,
Montreal, Canada, in 1990. Since 1990, he has been with
Wayne State University, Detroit, Michigan, where he is
currently a professor in the Department of Electrical
and Computer Engineering. His research interests are in
the areas of complexity and information, system
identification, robust control, H-infinity optimization,
time-varying systems, adaptive systems, hybrid and
nonlinear systems, information processing and learning,
as well as medical, automotive, communications, power
systems, and computer applications of control
methodologies. He was a keynote speaker in several
international conferences. He serves on the IFAC
Technical Committee on Modeling, Identification and
Signal Processing. He was an Associate Editor of the
IEEE Transactions on Automatic Control and several other
journals, and an Associate Editor of Journal of Control
Theory and Applications. He was a Visiting Faculty at
University of Michigan in 1996, Visiting Faculty Fellow
at University of Western Sydney, Australia, in 2009 and
2013, and Visiting Faculty at Vienna University of
Technology, Austria, in 2016. He is a member of a
Foreign Expert Team in Beijing Jiao Tong University and
a member of the Core International Expert Group at
Academy of Mathematics and Systems Science, Chinese
Academy of Sciences.
He received Research Initiation Award (1992) and Faculty Internship Award (1994) from the USA National Science Foundation, Best Paper Award from IEEE EIT 2012, Best Poster Award from IEEE SEM 2012, Best Paper Award from ICEEE 2017, Best Paper Award in Journal of Systems Science and Complexity in 2016, Best Associate Editor Award (2016) from Control Theory and Technology, Outstanding Reviewer Award (2012-2013) from Automatica, Faculty Research Award (1992), College of Engineering Outstanding Teaching Award (1995), President Research Enhancement Award (2003-2005), College of Engineering Faculty Research Excellence Award (2015) from Wayne State University. He is an Eminent Engineer in Tau Beta Pi, a member of Academy of Scholars at Wayne State University, and a Fellow of IEEE.
Prof. Sheng-Uei Guan
Xi'an Jiaotong-Liverpool University, China
Title: Opportunities and Challenges in Information Communications Technology
This talk introduces the overall trends of Information Communications Technology (ICT) and presents an overview for opportunities and challenges in ICT. Critical issues, research problems and developments of ICT in various areas are addressed, such as green computing, Internet computing, mobile computing, and intelligent computing. Opportunities and challenges in relevant areas are also covered, for example, Internet of Things, cloud computing, big data analytics. Critical development of ICT in various aspects are proposed thereafter. Finally, the challenges faced by the higher education sector are also discussed.
Green computing, Internet computing, mobile computing, intelligent computing, Internet of Things, cloud computing
Steven Guan received his M.Sc. & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor and the Director for Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University (XJTLU). He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined Yuan-Ze University for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor. Prof. Guan’s research interests include: machine learning, intelligent systems, computational intelligence, big data analytics, data mining, personalization, modeling, security, networking, electronic commerce, mobile commerce, coding theory, and pseudorandom number generation. He has published extensively in these areas, with 130+ journal papers and 180+ book chapters or conference papers. He has chaired and delivered keynote speeches for 30+ international conferences and served in 170+ international conference committees and 20+ editorial boards.
Prof. Yutaka Ishibashi
Nagoya Institute of Technology, Japan
Title: Remote Robot Systems with Force Feedback
A number of researchers focus on studies on remote robot systems with force feedback. In a remote robot system, a human can remotely operate a robot which haptic sensors over a network by using a haptic interface device while watching video. The human can perceive reaction force via the haptic interface device when the robot arm hits/touches some objects. Therefore, by using the system, we can do various types of cooperative work which cannot be done by only humans. In such work, we need to achieve efficient remote cooperation between the human and robot by using force feedback. To realize stable and high-quality remote robot control with force feedback, we need to integrate and enhance stabilization control and QoS (Quality of Service) control which have been studied independently so far; the former control has been studied in the robot and control engineering field, and the latter has been done in the communication and network engineering field. In the keynote speech, he will discuss the current state of study on remote robot systems with force feedback and explain future directions of the study.
Yutaka Ishibashi received the B.E., M.E., and Ph.D. degrees from Nagoya Institute of Technology, Nagoya, Japan, in 1981, 1983, and 1990, respectively. In 1983, he joined the Musashino Electrical Communication Laboratory of Nippon Telegraph and Telephone Public Corporation (currently, NTT). From 1993 to 2001, he served as an Associate Professor of Department of Electrical and Computer Engineering, Faculty of Engineering, Nagoya Institute of Technology. Currently, he is a Professor of Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology. From June 2000 to March 2001, he was a visiting researcher, Department of Computer Science and Engineering, University of South Florida (USF), USA. His research interests include networked multimedia, QoS (Quality of Service) control, media synchronization, and remote robot control with force feedback. He was the Chair of the IEICE Communication Quality Technical Committee from 2007 to 2009. He served as TPC Chair of IEEE CQR (Communications Quality and Reliability) Workshop in 2011 and 2012. He also served as NetGames (Network and Systems Support for Games) Workshop Co-Chair in 2006, 2010, 2014, and 2017, Executive Committee Chair of Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering in Japan, Chair of MAW 2017 (Metro Area Workshop in Nagoya, 2017), Conference Co-Chair of IEEE ICCC 2017, Conference Chair of ICCCS 2018, and Technical Program Chair of IEEE ICCE-TW 2018. He was IEEE Nagoya Section Secretary in 2015 and 2016, and he is currently IEEE Nagoya Section Chair. He is further a Steering Committee Member of NetGames. He is a Fellow of IEICE, a Senior member of IEEE, and a Member of ACM, ITE, IPSJ, VRSJ, and IEEJ.
Prof. Yinglei Song
Jiangsu University of Science and Technology, China
Title: Parameterized Algorithms for Problems in Computer Science
In computer and information science, the inherent structures of a large number of problems are closely related to one or a few parameters. Computing the exact solutions of these problems is often difficult. Algorithms that can efficiently find exact and approximate solutions to these problems are thus highly desirable in practice. In this talk, I will present a new perspective for solving these problems in practice. Specifically, instead of focusing on the development of algorithms that can solve generic instances of these problems, I propose to study and recognize the parameters that are closely related to the inherent structure of such a problem and develop parameterized algorithms for it. As an example，I will discuss the frequency assignment problem in wireless communication and show how an exact solution can be efficiently solved in cases where the underlying graph has a bounded tree width. I will present how parameterized algorithms can be developed for a few problems from different areas in computer science, including image processing, data mining and machine learning. In addition, I will present the limitations of this approach and show a few hardness results related to parameterized computation.
Yinglei Song received his B.S.
from Tsinghua University in 1998 and his Ph.D. in
Computer Science from the University of Georgia in 2006.
From 2007 to 2012, he was an assistant professor of
computer science at the University of Maryland Eastern
Shore, USA. He is now a Professor of Electronics and
Information Science at Jiangsu University of Science and
Technology. He was selected to be one of the Specially
Appointed Professors of Jiangsu Province in 2015. He has
published over 80 refereed research papers and has
served in the editorial boards and program committees of
a few well known international journals and conferences.
His research is in the design, analysis, implementation
and applications of parameterized algorithms for
optimization problems. His work spans theory and
practice, including both algorithm development and