Special Session: Computational Intelligence for Integrated Remote Sensing and Cyber-Physical Systems

Remote sensing (RS) technologies such as satellite, Unmanned Aerial Vehicles (UAVs) and near-surface platforms represent techniques to observe different physical phenomena remotely in a non-intrusive way. Cyber physical systems (CPS) is a network of objects, i.e., embedded computers and communication networks governing physical actuators that operate in the physical world and receiving inputs from sensors, which lead to the creation of a smart control loop capable of adaptation, autonomy, and improved efficiency. The applications based on RS and CPS gather vast amounts of data that have been used in industries, such as health systems, financial services, weather forecasts and environment monitoring. These applications depend on wireless communications for the transmission of these data. Computation Intelligence (CI) plays a critical role to transmit, process and store these data for further decision making. Both RS and CPS potentially utilize cellular networks for gathering, transmission and processing of a large and mixed variety of data for deep analysis and decision making.

With the advent of emerging cyber physical connectivity, e.g., 5G/6G and future networks that will offer the capability of transmitting massive amounts of data at unimaginable speeds and higher reliability, a wireless monitoring system based on 5G/6G network technologies can remarkably enhance the performance of monitoring.A prime driver of the growth of CPS and UAV-based RS applications in the next decade is given by the evolution of current and future networks. This will enable an intelligent computation system, which possesses automatic processing characteristics, learns from the environment, and adapts to accommodate rapidly changing conditions and goals.

This special session will provide a forum for discussing recent advances and challenges of CI via integrated remote sensing and emerging cyber-physical connectivity. For example, this may include contributions in deep neural networks, online learning, fuzzy logic for decision-making, modelling RS related problems, and managing huge data flows and storage, including image and media data.

Topics for this IEEE special session include but not limited to:

  • CI for fast deep learning in cyber physical systems
  • CI for efficient real-time disaster monitoring
  • CI for environmental remote monitoring and management
  • Low latency CI for edge devices
  • CI for image enhancement, image classification, and image segmentation
  • CI applications in social, economic, and technological domains

Organizers: Taufiq Asyhari, Ambreen Hussain, Mahardhika Pratama, Zhaozhao Tang, Huma Chaudhry