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Zhenyuan Jia
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Xiaozhen Mi
Jano de Souza
Amy Trappey
Shengchuan Zhao
Ning Gu
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Weiming Shen
Jean-Paul Barthès
Junzhou Luo
Yanjun Shi
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Jun Zhao
Tie Qiu
Xiaojun Zheng
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Benxian Yue
Chunli Ni
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Jean-Paul Barthès
Junzhou Luo
Weiming Shen
Jianming Yong
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Kuo-Ming Chao
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Liang Gao
Ning Gu
Anne James
Peter Kropf
Weidong Li
Xiaoping P. Liu
Hugo Paredes
José A. Pino
Amy Trappey
Chunsheng Yang
Yun Yang
Qinghua Zheng

    Dr.Mengchu Zhou's HomePage

    Title: Mobile Robots in Particle Swarm Optimizers: A Novel Paradigm for Effective Swarm Optimization and Collaboration


    Speaker: Prof. MengChu Zhou, Fellow of IEEE, IFAC, AAAS, CAA and NAI, New Jersey Institute of Technology, USA


    A Particle Swarm Optimizer (PSO) and mobile robot swarm are two widely studied subjects. Many applications emerge separately while the similarity between them is rarely explored. When a solution space is a certain region in reality, a robot swarm can replace a particle swarm to explore the optimal solution by performing PSO. In this way, a mobile robot swarm should be able to efficiently explore an area just like a particle swarm and uninterruptedly work even under the shortage of robots or in the case of unexpected failure of robots. Furthermore, the moving distances of robots are highly constrained because energy and time of robots can be costly. Inspired by such requirements, this presentation discusses a Moving-distance-minimized PSO for a mobile robot swarm to minimize the total moving distance of its robots while performing optimization and collaboration. The distances between the current robot positions and the particle ones in the next generation are utilized to derive paths for robots such that the total distance that all robots move is minimized, hence minimizing the energy and time for a robot swarm to locate the optima. Experimental results on optimizing 28 CEC2013 benchmark functions show the advantage of the proposed method over the standard PSO. By adopting it, the moving distance of robots can be reduced by more than 40% while offering the same optimization effects. The implication is enormous since all population-based optimization algorithms can be potentially benefited from such replacement of their individuals with mobile robots, thus leading to their moving-distance-minimized variants.



    MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990.  He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now Distinguished Professor in Electrical and Computer Engineering. His research interests are in intelligent robotics and automation, Petri nets, Internet of Things, big data, web services, and intelligent optimization.  He has over 900 publications including 12 books, 600+ journal papers (500+ in IEEE transactions), 29 patents and 29 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering, Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica, and Associate Editor of IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Systems, Man, and Cybernetics: Systems. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society, and Excellence in Research Prize and Medal from NJIT. He has been among most highly cited scholars for years and ranked top one in the field of engineering worldwide in 2012 by Web of Science. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is a Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).




    Title: Towards Community-Oriented Wearable Computing Systems: A Paradigm Shift to Monitor and Control Cooperative Groups of People based on Collectives of Wearables


    Speaker: Prof. Giancarlo Fortino, University of Calabria, Italy



    Gartner estimates the global smart wearable computing systems (WCS) market will be worth more than US$93 billion in 2022, with an increasing growth caused by the COVID-19. The industry and public sector are then pushing for innovative WCS solutions with high levels of dependability and trustworthiness that can efficiently operate in increasingly complex scenarios. Great strives have been made to realize WCS for the 24/7 monitoring of single users based on 3-tier architectures involving wearables, edge, and cloud systems. However, new requirements, specifically targeting cooperative multiple users, demands for radically new approaches, as promoted by the community-oriented WCS (CO-WCS). In this keynote, we first provide an overview of WCS based on the SPINE Body of Knowledge research and development ( Then, we focus on the requirements of the next-generation CO-WCS based on a use case driven approach. Finally, we will discuss models, architectures and tools that would be needed to implement CO-WCS.



    Giancarlo Fortino (SM'12) is Full Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a PhD in Computer Engineering from Unical in 2000. He is also distinguished professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST (China), senior research fellow at the Italian ICAR-CNR Institute, CAS PIFI visiting scientist at SIAT – Shenzhen, and Distinguished Lecturer for IEEE Sensors Council. He is Web of Science Highly Cited Researcher 2020. He is the director of the SPEME lab at Unical as well as co-chair of Joint labs on IoT established between Unical and WUT and SMU and HZAU Chinese universities, respectively. His research interests include wearable computing systems, e-Health, Internet of Things, and agent-based computing. Fortino is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is author of 500+ papers in int'l journals, conferences and books. He is (founding) series editor of IEEE Press Book Series on Human-Machine Systems and EiC of Springer Internet of Things series and AE of premier int'l journals such as IEEE TAFFC-CS, IEEE THMS, IEEE IoTJ, IEEE SJ, IEEE JBHI, IEEE SMCM, IEEE OJEMB, IEEE OJCS, Information Fusion, JNCA, EAAI, etc. He organized as chair many int'l workshops and conferences (100+), was involved in a huge number of int'l conferences/workshops (500+) as IPC member, is/was guest-editor of many special issues (60+). He is cofounder and CEO of SenSysCal S.r.l., a Unical spinoff focused on innovative IoT systems. Fortino is currently member of the IEEE SMCS BoG and of the IEEE Press BoG, and chair of the IEEE SMCS Italian Chapter.




    Title: E-CARGO and Role-Based Collaboration


    Speaker: Prof. Haibin Zhu, Nipissing University, Canada



    Role-Based Collaboration (RBC) has emerged into an investigative methodology from a computational methodology with continuous research effort in the past decade. RBC uses roles as the primary underlying mechanism to facilitate collaboration activities. It consists of a set of concepts, principles, models, and algorithms. RBC imposes challenges and benefits not discovered in traditional methodologies and systems. RBC and the Environments - Classes, Agents, Roles, Groups, and Objects (E-CARGO) model have been investigated for over 18 years and have established a solid foundation for further research and investigation. Related research has brought and will bring exciting improvements to the development, evaluation, management, and execution of computer-based systems including 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, Intelligent Transportation Systems, Cyber-Physical Systems, Social Networking, and Social Simulation Systems. 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.



    Dr. Haibin Zhu is a Full Professor and the Chair of the Department of Computer Science and Mathematics, Founding Director of Collaborative Systems Laboratory, member of the Research Committee, Nipissing University, Canada. He received a BS degree in computer engineering from the Institute of Engineering and Technology, China (1983), and MS (1988) and PhD (1997) degrees in computer science from the National University of Defense Technology (NUDT), China. He was a visiting professor and a special lecturer in the College of Computing Sciences, New Jersey Institute of Technology, USA (1999-2002) and a lecturer, an associate professor and a full professor at NUDT (1988-2000). He has accomplished over 200 research works including 28 IEEE Trans. articles, six books, five book chapters, three journal issues, and four conference proceedings.

    He is a senior member of IEEE and is serving as associate vice president (AVP)Systems Science and Engineering, co-chair of the technical committee of Distributed Intelligent Systems member of the SSE Technical Activity Committee, the Conf. and Meetings Committee, and the Electronic Communications Subcommittee of IEEE Systems, Man and Cybernetics (SMC) Society, Associate Editor (AE) of IEEE Transactions on SMC: Systems, IEEE Transactions on Computational Social Systems, IEEE SMC Magazine, and IEEE Canada Review. He has been an active organizer for the annual IEEE Int'l Conf. on SMC since 2003, as Registration Co-Chairs (2021), Co-Chair (2020), Poster Co-Chair (2020), Special Session Chair (2019), Tutorial Chair (2018), Area Co-Chair (2017), Social Media Co-Chair (2015), Web Co-Chair (2015), and Special Session Organizer (2003-2020). He was a Program Co-Chair for the 13th Int'l Conf. on Computer Science and Information Technology, Oct.14-16, 2020, Online (ICCSIT2020) and the 10th Int'l Conf. on Pervasive and Parallel Computing, Communication, and Sensors, Nov. 3-5, 2020, Online (PECCS2020), the Publication Chair for the 1st IEEE Int'l Conf. of Human-Machine Systems, Sept 7-9, 2020 (online), the Program Chair for 16th IEEE Int'l Conf. on Networking, Sensing and Control, Banff, AB, Canada, May 8-11, 2019. He was a PC Chair for 24th IEEE Int'l Conf. on Computer Supported Cooperative Work in Design (CSCWD), Dalian, China, May 6-8, 2020, and a PC Chair for CSCWD'13, Whistler, BC, Canada. He also served as PC member for 90+ academic conferences.  He is the founding researcher of Role-Based Collaboration and Adaptive Collaboration. He has offered over 70 invited talks on collaboration internationally, e.g., Canada, USA, China, UK, Germany, Turkey, Hong Kong, Macau, and Singapore. His research has been being sponsored by NSERC, IBM, DRDC, and OPIC.

    He is the receipt of the meritorious service award from IEEE SMC Society (2018), the chancellor's award for excellence in research (2011) and two research achievement awards from Nipissing University (2006, 2012), the IBM Eclipse Innovation Grant Awards(2004, 2005), the Best Paper Award from the 11th ISPE Int'l Conf. on Concurrent Engineering (ISPE/CE2004), the Educator's Fellowship of OOPSLA'03, a 2nd class National Award for Education Achievement (1997), and three 1st Class Ministerial Research Achievement Awards from China (1997, 1994, and 1991). His research interests include Collaboration Theory, Technologies, Systems, and Applications, Human-Machine Systems, CSCW (Computer-Supported Cooperative Work), Multi-Agent Systems, Software Engineering, and Distributed Intelligent Systems.





    Title: Scholar Social Network and Big Data Research


    Speaker: Prof. Yong Tang, School of Computer Science, South China Normal University, China



    Social networks are changing our daily lives. In order to meet the needs of research and teaching, we designed a social network named SCHOLAT, which provides a platform for scholars to cooperate in research and teaching. In this talk, I will briefly introduce the usage of SCHOLAT through real examples, analysis the big data in SCHOLAT, and propose an application mode of SCHOLAT+. Finally, I'll introduce several applications based on SCHOLAT.



    Yong Tang is the founder of SCHOLAT, a kind of scholar social network. He is now a Professor and Dean of the School of Computer Science at South China Normal University. He got his BS and MSc degrees from Wuhan University in 1985 and 1990 respectively, and PhD degree from University of Science and Technology of China in 2001, all in computer science. Before joined SCNU in 2009, he was vice Dean of School of Information of Science and Technology at Sun Yat-Sen University. He has published more than 200 papers and books. He has supervised more than 40 PhD students since 2003 and more than 100 Master students since 1996. His main research areas include data and knowledge engineering, social networking and collaborative computing. He currently serves as the director of technical committee on collaborative computing of China Computer Federation (CCF) and the executive vice president of Guangdong Computer Academy. For more information please visit