The rapid advancement in Flexible Electronic Systems (FES) and other related technologies have led to the emergence of flexible and intelligent sensing systems as a highly promising multidisciplinary field. Flexible electronics are electronic systems that are soft, flexible, foldable, warping, bending, thin, etc. This field brings together researchers from various areas, including computer science, electrical engineering, and materials science, and has a wide range of applications in fields such as environmental monitoring, healthcare, agriculture, transportation, and security. As the significance of these systems continues to increase, it is crucial to establish a dedicated technical committee to focus on the development and advancement of these systems in order to further the understanding and capabilities of flexible electronics in various fields of study.

This committee will bring together experts in flexible electronics, materials science, and related fields to collaborate and advance the understanding and capabilities of flexible and intelligent sensing systems. One of the key advantages of these systems is their ability to integrate data from multiple sources, such as flexible sensors, cameras, and other flexible electronics, to extract valuable insights. This ability has led to the development of numerous applications in fields such as medicine and biology, where flexible and intelligent sensing systems have the potential to revolutionize the way we understand and interact with the world around us.

The proposed technical committee aims to bring together experts from academia, industry, and researchers to discuss and advance the state-of-the-art in flexible and intelligent sensing systems. The committee will cover a range of topics, including advanced materials, machine learning and artificial intelligence, sensor technologies, data processing and analysis, and applications of these systems in various fields. By holding regular meetings and discussions, the committee will provide a platform for exchanging ideas and knowledge, fostering collaboration and networking, and promoting the development of new technologies and applications in the field of FES.

The approach to flexible and intelligent sensing systems is particularly interesting because it aims at three main goals: 1) Leveraging advanced materials, flexible electronics, and intelligent perception technologies to create flexible and intelligent sensing systems with a wide range of applications, in order to advance the state of the art; 2) Strengthening the collaboration between researchers in various fields, including computer science, electrical engineering, and materials science, in order to advance the understanding and capabilities of these systems; and 3) Enabling the development of advanced perception and action behaviors in a wide range of fields, including environmental monitoring, healthcare, agriculture, transportation, and security. Additionally, it also focuses on the manufacturing of flexible sensors and the research of smart materials, as well as the corresponding signal processing technology based on smart materials and flexible sensors.

The increasing interest in this kind of research is evident in the strong growth of activity in:

• Flexible electronic systems for advanced sensor technology
• Novel materials for sensing systems
• Multi-sensor data fusion and intelligent sensor fusion
• Soft, skin-like electronic and bionic sensors
• Intelligent monitoring with advanced materials
• Flexible electronics for intelligent recognition
• Computational intelligence in sensing
• Advanced material study in flexible and stretchable sensors
• Intelligent materials and systems for novel devices
• Intelligent sensing for the Internet of Things (IoT) and Industry 4.0
• Advanced materials for flexible sensor fabrication
• Novel fabrication techniques for advanced material-based sensors
• Flexible and biocompatible sensors for medical diagnostics and vital sign monitoring
• Computational intelligence for sensing in fields such as healthcare, environment, agriculture, transportation

Despite the significant progress that has been made in the field of FES over the past few decades, there are still many challenges that need to be addressed in order to fully realize the potential of these systems. These challenges include issues related to data processing, machine learning, and the integration of FES with other technologies. In order to continue advancing the state of the art in FES, it is necessary to bring together experts from academia, industry, and researchers to share ideas and knowledge, and to collaborate on the development of new technologies and applications.