International Journal of Space-Based and Situated Computing (IJSSC)

Space-based and situated computing extends the pervasive computing vision of everyday objects communicating and collaborating to provide intelligent and context-aware information and services to users in larger geographical spaces. The ultimate goal is to build context-aware global smart space and location-based service applications that integrate information from independent systems (such as sensor, actuator or mobile information systems), which autonomously and securely support human activities. IJSSC provides a fully refereed international forum for publishing latest research in space-based and situated computing.


Submission Link 投稿链接

Special Issue on Artificial Intelligence in Cyber-Physical Systems

Submission Deadline: 30 April 2021

Aim & Scope

Artificial Intelligence (AI) approaches have recently received much attention as a key enabler for next-generation Cyber-Physical Systems (CPS). CPS monitor and control physical elements with computer-based algorithms, and are capable of autonomously react to and affect their physical surroundings. For example, connected vehicles communicate with their neighboring cars or infrastructures in future vehicular-to-everything (V2X) networks, and autonomous robots control their surroundings in industrial Internet of things (IIoT). AI techniques, including machine learning, deep learning, and reinforcement learning approaches, can leverage big data analytics to enhance situational awareness and to provide smart capabilities such as self-configuration, self-optimization and self-diagnosis. In the future, AI in CPS would include health and biomedical monitoring, robotics systems, intelligent edge devices, among many other functions, and be used to correct natural disasters, human errors, or malicious actions, etc.

This special issue invites researchers and practitioners to submit papers describing recent advances and challenges in artificial intelligence, cyber-physical systems, and their integrations, and in particular to solicit contributions on real-world applications. Topics include, but are not limited to, the following:

  • Network architectures and communication protocols for AI in CPS 
  • Modeling and performance analysis of AI-based CPS networks
  • Network optimization to enhance AI-based CPS performance
  • Autonomous Cyber-Physical Systems
  • Implementing AI techniques on wireless CPS networks
  • AI-based techniques for CPS security 
  • AI-based techniques for fault diagnosis in CPS services 
  • AI-based techniques for CPS security and services 
  • AI techniques for emerging CPS applications, e.g., robotics, edge intelligence, smart healthcare, etc.

Guest Editors
Dr. Haoyuan Pan, Shenzhen University, China
Dr. Ming Tang, The University of British Columbia, Canada
Dr. Tse-Tin Chan, The Hang Seng University of Hong Kong, Hong Kong, China
Dr. Jiaxin Liang, The Chinese University of Hong Kong, Hong Kong, China