Biography: Prof. Jian Zhou received his Ph.D. degree in Electronic Science and technology from Zhejiang University (China), in 2015. He is currently a professor and Yuelu Scholar from the College of Mechanical and Vehicle Engineering at Hunan University, China. He has won a joint fund of the Ministry of Education (Youth Talent) and a Young Talent Project from Hunan Province. Until now, He has published over 90 SCI/EI papers, and granted more than 20 patents. He awarded the First Prize in Science and Technology of China Communications and Transportation of Association in 2023, the Productivity Promotion Award of China Association of Productivity Promotion Centers in 2022, and the Second Prize of Science and Technology for CRRC in 2021. His current research interests focus on MEMS sensors, AI technology, flexible electronic devices, and their advanced applications.

New-type Surface Acoustic Wave Sensors and Artificial Intelligence Applications

Surface acoustic wave (SAW) sensors have been widely used in the sensing of physical parameters such as temperature, pressure, strain, trace detection of chemical warfare agents such as neurotoxic and erosive agents, as well as biosensing fields such as DNA and proteins detection. SAW sensors have their unique advantages of being easy to wireless and passive, as well as their miniaturization, high sensitivity, low cost, and quasi digital output. Traditional SAW devices are mainly based on rigid substrates such as quartz/lithium niobate/silicon, which are difficult to be attached onto the curved surfaces and monitoring on a curved surface; In addition, traditional SAW sensors generally operate at frequencies below 3 GHz, making it difficult to further improve sensitivity based on mass-loading effects. This report will focus on the recent research work on flexible SAW sensors for accurate flexible acoustic wave sensing system, ultra-high frequency SAW sensors for hypersensitive detection and Artificial intelligence enabled SAW sensors.