Prof. Peter X. Liu, IEEE Fellow, EIC Fellow
Carleton University, Canada
Biography: Prof. Peter X. Liu received his B.Sc. and M.Sc. degrees from Northern Jiaotong University, China in 1992 and 1995, respectively, and Ph.D. degree from University of Alberta, Canada in 2002. He has been with the Department of Systems and Computer Engineering, Carleton University, Canada since July 2002 and is currently a Professor and Canada Research Professor in Haptics Technology. His interest includes interactive networked systems and teleoperation, haptics, surgical simulation, control and intelligent systems.
Dr. Liu is a Founding Chair of IEEE SMC Technical Committee on Interactive and Wearable Computing and Devices. He has served as an Associate Editor for several journals including IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Cybernetics, IEEE Transactions on Automation Science and Engineering, and IEEE Transactions on Instrumentation and Measurement.
Dr. Liu was listed among Global Highly Cited Researchers by Clarivate Analytics in 2019. He is a licensed member of the Professional Engineers of Ontario (P.Eng), a Fellow of the Engineering Institute of Canada (FEIC) and a Fellow of IEEE (FIEEE).
Prof. Chia-Feng Juang, Distinguished Professor, IEEE Fellow
National Chung Hsing University, Taiwan
Biography: Chia-Feng Juang received the B.S. and Ph.D. degrees in Control Engineering from the National Chiao-Tung University, Hsinchu, Taiwan, in 1993 and 1997, respectively. Since 2001, he has been with the Department of Electrical Engineering, National Chung Hsing University (NCHU), Taichung, Taiwan, where he became a Full Professor in 2007 and has been a Distinguished Professor since 2009. He served as the Chapter Chair of IEEE Computational Intelligence, Taipei Chapter, in 2017-2018, during which the chapter won the Outstanding Chapter Award from IEEE Taipei Session. Dr. Juang has authored or coauthored over 110 journal papers (including over 60 IEEE journal papers), ten book chapters, and over 130 conference papers. Five of his highly-cited papers have collected over 3400 citations in Google Scholar. His current research interests include computational intelligence, intelligent control, computer vision, and evolutionary robots.
Dr. Juang received the Outstanding Youth Award from Taiwan Fuzzy Systems Association (TFSA), Taiwan, in 2014; the Outstanding Automatic Control Engineering Award from Chinese Automatic Control Society (CACS), Taiwan, in 2014; the Outstanding Electrical Engineering Professor Award from Chinese Institute of Electrical Engineering, Taiwan, in 2019; and the Outstanding Research Award from Ministry of Science and Technology, Taiwan, in 2021. He was elevated to CACS Fellow in 2016, IEEE Fellow in 2019, and TFSA Fellow in 2022. He is a Distinguished Lecture of IEEE Computational Intelligence Society. He is an Associate Editor of the IEEE TRANSACTIONS ON FUZZY SYSTEMS, the IEEE TRANSACTIONS ON CYBERNETICS, and the Asian Journal of Control and an Area Editor of the International Journal of Fuzzy Systems.
Prof. Carla Seatzu
University of Cagliari, Italy
Biography: Carla Seatzu is currently a Full Professor of Automatic Control with the University of Cagliari, Cagliari, Italy. Her research interests include discrete-event systems, Petri nets, hybrid systems, networked control systems, manufacturing, and transportation systems. She is the author of over 260 publications, including 90 articles in international journals and one textbook. She is the editor of two international books. She has been a Visiting Professor with universities in Spain, (Zaragoza), USA (Atlanta), Mexico (Guadalajara), and China (Xi’an, Hangzhou). Her h-index in Scopus is equal to 37. Prof. Seatzu is a Senior Editor of the IEEE Control Systems Letters and the IEEE Transactions on Automation Science and Engineering. She is Department Editor of Discrete Event Dynamic Systems. She was a Program Chair of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation in 2018, Workshop Chair of the 55th IEEE Conf. on Decision and Control in 2016 and a General Co-Chair of the 18th IEEE International Conference on Emerging Technologies and Factory Automation in 2013.
Prof. Haibin Zhu
Nipissing University, Canada
Biography: Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, the Founding Director of the Collaborative Systems Laboratory, Nipissing University, Canada. He has accomplished over 200 research works including 30+ IEEE Transactions articles, six books, five book chapters, four journal issues, and four conference proceedings.
He is serving as a member of the Board of Governors, co-chair of the technical committee of Distributed Intelligent Systems, IEEE Systems, Man, and Cybernetics (SMC) Society, the Editor-in-Chief of IEEE SMC Magazine, an Associate Editor (AE) of IEEE Transactions on SMC: Systems, and IEEE Transactions on Computational Social Systems. He has been an active organizer for the IEEE International Conferences on SMC since 2003.
He is the founding researcher of Role-Based Collaboration and Adaptive Collaboration and the creator of the E-CARGO model. His newly published monograph E-CARGO and Role-Based Collaboration can be found https://www.amazon.com/CARGO-Role-Based-Collaboration-Modeling-Problems/dp/1119693063. The accompanying codes can be downloaded from GitHub: https://github.com/haibinnipissing/E-CARGO-Codes. He has offered 10+ keynote/plenary speeches for international conferences. His research has been sponsored by NSERC, IBM, and DNDC.
He is the recipient of the meritorious service award from IEEE SMC Society (2018), the chancellor’s award for excellence in research (2011) from Nipissing University, Canada.
Speech Title: E-CARGO and Role-Based Collaboration
Abstract: Role-Based Collaboration (RBC) is a computational methodology that uses roles as the primary underlying mechanism to facilitate collaboration activities. It consists of a set of concepts, principles, models, processes, and algorithms.
RBC and its Environments - Classes, Agents, Roles, Groups, and Objects (E-CARGO) model have been developed to a powerful tool for investigating collaboration and complex systems. Related research has brought and will bring in exciting improvements to the development, evaluation, and management of systems including collaboration, services, clouds, productions, and administration systems. RBC and E-CARGO grow gradually into a strong fundamental methodology and model for exploring solutions to problems of complex systems including Collective Intelligence, Sensor Networking, Scheduling, Smart Cities, Internet of Things, Cyber-Physical Systems, and Social Simulation Systems.
E-CARGO assists scientists and engineering to formalize abstract problems, which originally are taken as complex problems, and finally points out solutions to such problems including programming. The E-CARGO model possesses all the preferred properties of a computational model. It has been verified by formalizing and solving significant problems in collaboration and complex systems, e.g., Group Role Assignment (GRA). With the help of E-CARGO, the methodology of RBC can be applied to solve various real-world problems. E-CARGO itself can be extended to formalize abstract problems as innovative investigations in research. On the other hand, the details of each E-CARGO component are still open for renovations for specific fields to make the model easily applied. For example, in programming, we need to specify the primitive elements for each component of E-CARGO. When these primitive elements are well-specified, a new type of modelling/programming language can be developed and applied to solve general problems with software design and implementations.
In this keynote, we examine the requirement of research on collaboration systems and technologies, discuss RBC and its model E-CARGO; review the related research achievements on RBC and E-CARGO in the past years; discuss those problems that have not yet been solved satisfactorily; present the fundamental methods to conduct research related to RBC and E-CRAGO and discover related problems; and analyze their connections with other cutting-edge fields. This keynote aims at informing that E-CARGO is a well-developed model and has been investigated and applied in many ways. The speaker welcomes queries, reviews, studies, applications, and criticisms.
As case studies of E-CARGO, GRA and its related problem models are inspired by delving into the details of the E-CARGO components and the RBC process. GRA can help solve related collaboration problems with the help of programming and optimization platforms. All the related Java codes can be downloaded by GitHub: https://github.com/haibinnipissing/E-CARGO-Codes. The speaker welcomes interested researchers and practitioners to use these codes in their research and practice and contact the speaker if there are any questions about them.
Prof. Liuping Wang
RMIT University, Australia
Biography: Professor Liuping Wang received her Ph.D degree in 1989 from the Department of Automatic Control and Systems Engineering, University of Sheffield, UK. Upon completion of her PhD degree, she worked in the Department of Chemical Engineering at the University of Toronto, Canada for eight years in the field of process control. From 1998 to 2002, she worked in the Center for Integrated Dynamics and Control, University of Newcastle, Australia. In February 2002, she joined the School of Electrical and Computer Engineering, RMIT University, Australia where she is a Professor of Control Engineering.
Dr Liuping Wang has authored and co-authored more than 200 scientific papers in the field of system identification, PID control, adaptive control, model predictive control, electrical drive control, unmanned aerial vehicle control, sensor fusion and control technology application to industrial processes. She is the author and co-author of five books in the field of systems and control:
- State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials (Co-authored with Dr Robin Guan, publisher: Wiley-IEEE Presss 2022);
- PID Control System Design and Automatic Tuning using MATLAB/Simulink (Publisher: Wiley-IEEE Press 2020);
- PID and Predictive Control of Electrical Drives and Power Converters Using MATLAB/Simulink (Co-authored with Drs Shan Chai, Dae Yoo, Lu Gan, and Ki Ng, publisher: Wiley-IEEE Press, 2015);
- Model Predictive Control System Design and Implementation using MATLAB® (Publisher: Springer 2009);
- From Plant Data to Process Control-Ideas for Process Identification and PID Control (Co-authored with Professor Will Cluett, Taylor and Francis, 2000)
Prof. Anouck Girard
University of Michigan, USA
Biography: Anouck Girard received the Ph.D. degree in ocean engineering from the University of California, Berkeley, CA, USA, in 2002. She has been with the University of Michigan, Ann Arbor, MI, USA, since 2006, where she is currently a Professor of Robotics and Aerospace Engineering.
She has co-authored the book "Fundamentals of Aerospace Navigation and Guidance" (Cambridge University Press, 2014). Her current research interests include vehicle dynamics, control and autonomy, as well as safe learning and decision systems. Dr. Girard was a recipient of the Silver Shaft Teaching Award from the University of Michigan and a Best Student Paper Award from the American Society of Mechanical Engineers. She served as the Vice-Chair for Student Affairs for the 2019 American Control Conference. In 2022, she was a Fulbright Scholar in the Dynamic Systems and Simulation Laboratory at the Technical University of Crete.