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 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 Abstract: 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. Biography: 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 Abstract: 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 (https://projects.dimes.unical.it/spine-bok/).
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. Biography: 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 Abstract: 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 Abstract: 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. Biography: 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 https://scholat.com/ytang | |||||||||||||||||||||||||
