Yufei Ma received the B.S. degree in information engineering from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2011, the M.S.E. degree in electrical engineering from the University of Pennsylvania, Philadelphia, PA, USA, in 2013, and the Ph.D. degree in electrical engineering from Arizona State University, Tempe, AZ, U.S.A, in 2018. From 2018 to 2019, he was with FABU America Inc., Tempe, AZ, U.S.A, where he worked on high performance ASIC chip for ADAS/AD Applications. From 2019 to 2020, he was with Nanjing University, Nanjing, China, as a Research Associate Professor. In 2020, he joined the Institute for Artificial Intelligence, and the School of Integrated Circuits at Peking University, Beijing, China, as an Assistant Professor.
His current research focuses on energy-efficient AI/ML accelerator, in-memory computing, neuromorphic computing, and algorithm-hardware co-design for deep learning. In the field of integrated circuit and hardware architecture, over 20 papers as first author or corresponding author have been published, including ISSCC, TCAS-I, TVLSI, TCAD, DAC, ICCAD, CICC, FPGA, etc. His Google Scholar citations amount to 2290, with 1032 SCI citations. He has served as a TPC member for DAC from 2021 to 2024. He has also served as a reviewer for IEEE journals, including JSSC, TCAS-I/II, TCAD, TVLSI, TC, JETCAS, TCSVT, etc.