Yujie Gu

Dr. Yujie Gu received the Ph.D. degree in electronic engineering from Zhejiang University, Hangzhou, China, in 2008. Since then, he held multiple research positions in China, Canada, Israel and the United States. Currently, he works at Aptiv Advanced Engineering Center as a Senior Radar Scientist focusing on research and development of advanced automotive radar system. His main research experience is statistical and array signal processing, including robust adaptive beamforming, information-theoretic compressive sensing, spatial spectrum estimation, and performance bound analysis, with applications to radar, wireless communications, and radio astronomy imaging. Up to now, his most significant contribution to the Signal Processing Society is on solving the signal self-nulling in adaptive beamforming. Microsoft Academic ranked Dr. Gu the most impactful author in the topic of Adaptive beamformer over the past 15 years. Stanford University ranked Dr. Gu among the World's Top 2% Scientists for the five consecutive years from 2020 to 2024.

Dr. Gu is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He is an elected member of the Sensor Array and Multichannel (SAM) Technical Committee and an elected member of the Signal Processing Theory and Methods (SPTM) Technical Committee of the IEEE Signal Processing Society. Dr. Gu currently serves as an Associate Editor for IEEE Transactions on Signal Processing. He was the Lead Guest Editor of the Digital Signal Processing Special Issue on Source Localization in Massive MIMO published in 2019. Dr. Gu was a Special Sessions Co-Chair of the 2020 IEEE Sensor Array and Multichannel Signal Processing Workshop. He has also served as a technical program committee member for a number of international conferences including IEEE ICASSP and IEEE RadarConf. Dr. Gu was the recipient of the 2019 IET Communications Premium Award, and the 2023 Excellent Scientific Paper from China Association for Science and Technology. He is the corresponding author of a paper that received the 2021 IEEE Signal Processing Society Young Author Best Paper Award.