Dr. Teh Kah Chan received his BEng and PhD degrees in Electrical Engineering from Nanyang Technological University (NTU), Singapore, in 1995 and 1999, respectively. Since July 1999, he has been with NTU where he is currently an Associate Professor in the School of Electrical and Electronic Engineering (EEE). Concurrently, he is also appointed as Assistant Chair (Students) for the School of EEE. He has published more than 130 internationally refereed journal papers, mostly in the top-tier IEEE Transactions. His research interests are in the areas of 5G and beyond 5G technology, deep learning for wireless communication systems, signal processing for communications, cognitive radios, cooperative communication systems, cybersecurity and radar. Dr. Teh received the Best Teacher of the Year Award in 2005 and the Nanyang Education Award (School) in 2014 and 2019.
The keynote presentation by Professor Teh will address recent advances in wireless communication signal processing and intelligent system design for next-generation networks.
Yongjun Huang is a Professor and Doctoral Supervisor at the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC). His research primarily focuses on aerospace, industrial information automation, and the Internet of Things (IoT), specializing in novel cavity optomechanical high-precision micro-inertial sensor chip technologies and their application in inertial/integrated navigation systems. He has led over 10 national-level projects, including those funded by the National Natural Science Foundation of China (NSFC). He has also been a key investigator in more than 30 projects, including major national R&D programs and key NSFC projects. The total research funding he has led or significantly contributed to exceeds 50 million RMB. He has published over 130 high-impact journal papers (more than 60 as first or corresponding author) in journals such as Nature Communications, Science Advances, eLight, Light: Science & Applications, Laser & Photonics Reviews, AOM, PRA, and Research. His publications have garnered over 4,400 citations on Google Scholar, with an H-index of 34. He holds over 30 authorized invention patents and has delivered more than 20 invited presentations at international academic conferences. His honors and awards include the Second Prize (2024) and Third Prize (2014) of the Sichuan Provincial Science and Technology Progress Award, First Prize in the "Yuanchuang Cup" National Finals, recognition as a Provincial Academic and Technical Leader Candidate, the Excellent Doctoral Dissertation Award of the China Electronics Education Society, and support from the Postdoctoral Innovative Talent Support Program. In August 2024, he was selected for UESTC's "Century Outstanding Talents" Program, and in October 2024, he was recognized as a National Young Talent.
High-Precision Cavity Optomechanical Inertial Sensors: Theory and Realizations
High-precision inertial sensors have long been recognized as one of the key sensing components for monitoring the operational status and early-stage faults of critical parts in aerospace vehicles, unmanned platforms, engines, and other equipment. They also serve as core sensors for high-precision inertial navigation and attitude measurement. Existing inertial sensors suffer from a trade-off between measurement frequency and accuracy, making it difficult to meet the demands of high-precision, broadband measurement across different frequency environments. This report introduces a novel high-precision broadband inertial sensing technology recently developed based on micro/nano cavity optomechanical systems, with a focus on the relevant work carried out by our team. This includes the theoretical mechanisms, chip design, and inertial measurement performance of high-precision micro-accelerometers and micro-angular velocity sensors based on cavity optomechanics, along with recent research progress and preliminary achievements.
