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2023年3月5日美国王加存教授与唐瑛教授报告会

作者:时间:2023-03-01点击数:

2023年3月5日,实验室邀请到美国Monmouth大学王加存教授与Rowan大学唐瑛教授作报告,欢迎参加。


会议时间:2023/03/05 09:30-12:30 (GMT+08:00) 中国标准时间 - 北京

点击链接入会,或添加至会议列表:
https://meeting.tencent.com/dm/VCjSDVpMppLO

#腾讯会议:721-451-281



题目:Timed Petri Nets and Application in Healthcare Systems


报告人:Prof. Jiacun Wang, Monmouth University, New Jersey, USA

摘要: Optimizing patient flow is crucial to improving the quality of healthcare service, providing a positive experience for patients and healthcare teams. Patient flow is event-driven, and thus Petri nets are a good fit for its modeling and analysis. This talk introduces multi-level modeling process of patient flow in typical emergency departments with stochastic timed Petri nets. Special attention is paid on resource requirements, resource sharing and service duration. The talk also discusses patient flow performance evaluation, such as average patient waiting time and service bottleneck. Two staffing models for physicians and nurses will be considered and the decision on the optimal staffing level with each model will be addressed.

个人简介:Jiacun Wang received the PhD in computer engineering from Nanjing University of Science and Technology, China, in 1991. He joined Monmouth University in 2004 and is currently a professor of software engineering. He served as the computer science and software engineering department chair during 2009 – 2015. He has been the graduate program director of the department since 2016. His research interests include machine learning, formal methods, discrete event systems, software engineering, workflow, and real-time distributed systems. He published four books and about 170 papers. He was an Associated Editor of IEEE Transactions on Systems, Man, and Cybernetics: Part C, during 2004-2012, and is currently an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems and IEEE/CAA Journal of Automatica Sinica. He has served as general chair and program chair in several international conferences.



题目:Towards Adaptive and Personalized Cyber-physical Social Education

报告人:Prof. Ying (Gina) Tang,Electrical and Computer Engineering, Rowan University, USA

摘要: A flood of technological innovation is emerging to support the seamless integration and optimization of cyber space, physical space and social space, fostering a range of mechanisms and rules with implications for many application domains. Impacts on a new way of education –metaverse learning - that takes place anytime and anywhere, should be anticipated, enabling a broader understanding of the mind, cognitive development and learning philosophies. This talk will present perspectives of Cyber-physical Social Education in the context of cyber-enabled intelligent learning through immersive virtual reality and gamification. More specifically, the talk will feature the recent development of modeling and control for learning augmentation and personalization.

个人简介:Ying (Gina) Tang received the B.S. and M.S. degrees from the Northeastern University, P. R. China, in 1996 and 1998, respectively, and Ph. D degree from New Jersey Institute of Technology in 2001. She is currently Professor of Electrical and Computer Engineering at Rowan University, Glassboro, New Jersey, USA. She is also with the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; and also with the School of Information Science and Technology, Maritime University, Dalian, China. Her current research interests lie in the area of discrete event systems and visualization, including virtual reality/augmented reality, modeling and adaptive control for computer-integrated systems, intelligent game-based learning environments, sustainable production and service automation, blockchain and Petri Nets. Her work has resulted in three USA patents, and over 210 peer-reviewed publications, including 73 journal articles, 2 edited books, and 6 book / encyclopedia chapters. Dr. Tang served as Associate Editor of IEEE Transaction on Automation Science and Engineering during 2009 – 2014 and is currently Associate Editor of IEEE Transactions on Systems, Man & Cybernetics: Systems, IEEE Transactions on Computational Social Systems, and of Discover Artificial Intelligence, and Editorial Board Member of International Journal of Remanufacturing. She is a Guest Editor for the special section on Cyber-physical Social Intelligence for Metaverses in Cyber-Physical Social Systems in IEEE Transactions on Systems, Man & Cybernetics: Systems, special Issue on Behavioral Modeling, Learning, and Adaptation in Cyber-physical Social Intelligence in IEEE Transactions on Computational Social Systems, the special issue of Intelligent Energy Solutions to Sustainable Production and Service Automation in IEEEE Transactions on Engineering Science and Automation, and the special issue of Advances in Green Manufacturing and Optimization in Processes. She is the Founding Chair of Technical Committee on Intelligent Solutions to Human-aware Sustainability for IEEE Systems, Man, & Cybernetic, and the Founding Chair of Technical Committee on Sustainable Production Automation for IEEE Robotic and Automation.


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