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INVITED SPEAKER SEMINAR - E-CARGO and Role-Based Collaboration


Dr. Haibin Zhu – Professor, Nipissing University, North Bay, Ontario

Dr. Haibin Zhu – Professor, Nipissing University, North Bay, Ontario

Date: Wednesday, April 17th, from 11:00 AM   
Location: EV001.162

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 as powerful tools for investigating collaboration and complex systems. Related research has brought, and will bring, exciting improvements to the development, evaluation, and management of systems including collaboration, services, clouds, productions, and administration systems. E-CARGO assists scientists and engineers to formalize abstract problems, which are originally perceived as complex, and ultimately provides 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, such as Group Role Assignment (GRA). In this talk, the speaker will 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, illustrate those problems that have not yet been solved satisfactorily, present the fundamental methods to conduct research related to RBC and E-CARGO and discover related problems, and analyze their connections with other cutting-edge fields. This talk aims to inform that E-CARGO is a well-developed model and has been investigated and applied in many fields in various ways.

Biography

Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, the Founding Director of the Collaborative Systems Laboratory, a member of the Arts and Science Executive Committee at Nipissing University, Ontario. He is an affiliate professor at Concordia University and an adjunct professor at Laurentian University, Canada. He received his PhD degree in computer science from the National University of Defense Technology (NUDT), China. He was the chair of the Department of Computer Science and Mathematics at Nipissing University, Canada (2019-2021), a visiting professor and special lecturer in the College of Computing Sciences at New Jersey Institute of Technology, USA (1999-2002), and a lecturer, associate professor, and full professor at NUDT (1988-2000). He has accomplished (published or in press) over 280 research works, including a research monograph and 46 IEEE Transactions articles. He is a fellow of the International Institute of Cognitive Informatics and Cognitive Computing (I2CICC), a senior member of IEEE, a senior member of ACM, a full member of Sigma Xi, and a life member of CAST-USA (Chinese Association of Science and Technology, USA).

He is serving as Vice President, Systems Science and Engineering (SSE) (2023-), a member-at-large of the Board of Governors (2022-), and a co-chair (2006-) of the technical committee of Distributed Intelligent Systems of IEEE Systems, Man, and Cybernetics (SMC) Society (SMCS), SMCS Primary Representative, IEEE Systems Council, Editor-in-Chief of IEEE SMC Magazine (2022), Associate Editor (AE) of IEEE Transactions on SMC: Systems (2018-), IEEE Transactions on Computational Social Systems (2018-), Frontiers of Computer Science (2021-), and IEEE Canada Review (2017-). He was AE of IEEE SMC Magazine (2015-2021), Associate Vice President (AVP), SSE (2021), IEEE SMCS, a Conference (Co-)Chair and Program (Co-)Chair for many international conferences, and a PC member for 150+ academic conferences. He is the founding researcher of Role-Based Collaboration and the creator of the E-CARGO model.

CONTACT
Dr. Chun Wang
514-848-2424 ext. 5715
chun.wang@concordia.ca



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