2020年12月3日-5日,第三届IFAC CPHS研讨会将在中国北京召开。会议将采用线上线下相结合的形,线上共设置24个online session,现本周会议直播日程及嘉宾报告详情重磅出炉,欢迎各位专家学者、科研从业者及学生在线参会!
Nov.19(CST,UTC+08:00)
Time:08:00-11:40
Title:
Cyber-Physical-Social Systems for Sustainability
Proposers:
Ying Tang,Hui Yu,Jing Bi,Congbo Li
Contents:
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Nov.21(CST,UTC+08:00)
Time:20:00-22:00
Title:
Command, Control and Management on Cyber Space
Proposer:
Yuchao Liu
Contents:
Nov.22(CST,UTC+08:00)
Time:08:00-10:00
Title:
Digital Demography and Population Development
Proposer:
Dan He
Contents:
Time:10:00-12:00
Title:
Affective Computing and its Application
Proposers:
Bin Hu, Hanshu Cai
Contents:
Time:18:00-20:00
Title:
Distributed Control, Optimization and Security of Cyber-physical Systems
Proposers:
Guanghui Wen, Junjie Fu, Yuezu Lv
Contents:
Looking forward to seeing you on live.
Online Session 会议详情德先生将持续更新,敬请关注!
About IFAC CPHS 2020
The 3rd IFAC Workshop on Cyber-Physical & Human Systems will be held on Thursday through Saturday, December 3-5, 2020, in Beijing, China.
CPHS focuses more attention on the important interactions between CPS and humans. These interactions occurat various levels and they are constructing hybrid intelligence in almost all aspects of modern industries. The workshop aims to bring together an international community of researchers and practitioners in the field of human-machine collaboration to discuss new research results, perspectives on future developments, and innovative applications relevant to human-in-the-loop CPS, humans as elements in controlled systems, and related areas.
Interested topics include (but not limited to):
• Modeling and Optimization of Human-in-the-Loop Systems
• Low-carbon Industrial Internet of Things (I2oT)
• Artificial Intelligent, Big Data and Cyber-physical Systems for Sustainability
• Data-driven Energy Modeling and Optimization
• Regulatory Issues
• Enterprise integration and decision support
• Deep learning architecture for sustainable I2oT applications
• Industrial applications and case studies
• Visual computing and multimedia for sustainability
• Multimodal data processing and fusion for sustainability
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