E-CARGO/RBC: Enabling Research Innovations in the Era of AI

讲座名称：E-CARGO/RBC: Enabling Research Innovations in the Era of AI

讲座人：Haibin Zhu 教授

讲座时间：9月20日16:00-17:30

讲座地点：北校区主楼III-237

讲座人介绍：

Haibin Zhu is a Full Professor at Nipissing University, Canada. He is also an affiliate full professor of Concordia Univ. and an adjunct professor of Laurentian Univ., Canada. He has accomplished over 300+ research publications, including 60+ IEEE Transactions articles. He is a fellow of IEEE, AAIA (Asia-Pacific Artificial Intelligence Association) and I2CICC (International Institute of Cognitive Informatics and Cognitive Computing), and a senior member of ACM.

He is Vice President, Systems Science and Engineering (SSE) (2023-), a co-chair (2006-) of the technical committee of Distributed Intelligent Systems, and a Distinguished Lecturer of IEEE Systems, Man and Cybernetics Society (SMCS), Associate Editor (AE) of IEEE Transactions on SMC: Systems (2018-), IEEE Transactions on Computational Social Systems (2018-), IEEE Systems Journal (2024-), Frontiers of Computer Science (2021-), IEEE Canada Review (2017-), and Deputy Editor-in-Chief of Artificial Intelligence Science and Engineering (2025-). He was General Chair: E-CARGO 2025, China; E-CARGO 2024, China, E-CARGO 2023, online; ScalCom 2023, UK; ISEEIE 2023, Singapore; SPCS 2022, China; ICCSIT 2021, France; and Program Chair: ICFTIC 2025, 2024, China; CSCWD 2020, CSCWD 2018, China; ICNSC 2019, and CSCWD 2013, Canada.

He is the founding researcher of Role-Based Collaboration and Adaptive Collaboration and the creator of the E-CARGO model. His research 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 39 keynote speeches for international conferences and 96 invited talks internationally. He has secured over $1M research fund from SSHRC, NSERC, IBM, and DNDC.

讲座内容：

In the AI (Artificial Intelligence) time, many AI tools, such as LLMs (Large Language Models), can help people accomplish many low-level intelligent tasks, such as coding and reporting. Many low-level routine jobs have high potential to be replaced by such LLMs. Traditional programmers need to master powerful high-level modelling tools to meet these new challenges. E-CARGO/RBC (Environments - Classes, Agents, Roles, Groups, and Objects /Role-Based Collaboration) is a modelling methodology, which helps people deal with complex problems by designing systematic strategies other than using low level programming skills.

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 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.

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 E-CARGO components are still open for renovations for specific fields to make the model easily applied.

In this talk, the speaker examines the requirement of research on collaboration systems and technologies, discusses RBC and its model E-CARGO; reviews the related research achievements on RBC and E-CARGO in the past years; illustrates those problems that have not yet been solved satisfactorily; presents the fundamental methods to conduct research related to RBC and E-CRAGO and discover related problems; and analyzes their connections with other cutting-edge fields. This talk aims to inform the audience 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.

主办单位：机电工程学院