Abstract: 

This session focuses on the integration of three transformative technologies, each playing a pivotal role in modern systems: sensing, artificial intelligence (AI), and communication. The motivation behind this workshop stems from the increasing demand for intelligent, interconnected, and efficient systems in domains such as autonomous vehicles, smart cities, healthcare, and environmental monitoring.

Sensing technologies are becoming increasingly advanced, providing rich, high-dimensional data about the physical world. However, these systems often face challenges such as noise, bandwidth limitations, and the need for real-time processing. AI has emerged as a powerful tool to process and interpret this data, enabling actionable insights and decision-making. Communication technologies, particularly 5G and emerging 6G systems, bridge the gap by enabling seamless data sharing and coordination across devices and systems. The integration of these three domains presents profound opportunities but also complex challenges, such as resource optimization, latency reduction, and ensuring reliability in dynamic environments.

This is a timely and impactful topic because it aligns with the ongoing transformation of industries toward more intelligent and interconnected systems. It fosters interdisciplinary collaboration, bringing together experts from fields such as machine learning, wireless communication, and sensor design. Moreover, it addresses critical research questions, including how to optimize joint resource allocation, design AI models for distributed systems, and enhance the synergy between sensing and communication.

This session provides a platform for discussing cutting-edge research, identifying emerging trends, and fostering innovation. It is especially relevant given the rapid advancements in AI and the rollout of next-generation communication networks. By focusing on integrated solutions, the workshop can inspire novel applications and frameworks, ultimately contributing to the development of smarter and more sustainable technologies. This makes it a compelling and high-impact topic for researchers and practitioners alike.

Session Chairs: 

Dr. Xiaoyang Li(Shenzhen Research Institute of Big Data, China),

Asst. Prof. Weijie Yuan( Southern University of Science and Technology, China),

Prof. Kaibin Huang( Hong Kong University, China)