Yanzhi Wang is Professor in the Department of Electrical and Computer Engineering at Northeastern University, a senior member of IEEE. His research interests focus on real-time and energy-efficient deep learning and artificial intelligence systems, especially on efficient large language models and large-scale generative AI systems. His research works have been published broadly in (i) machine learning conferences such as AAAI, CVPR, NeurIPS, ICML, ICCV, ICLR, IJCAI, ECCV, KDD, ICRA, ACM MM, ICDM, etc., (ii) architecture and system conferences such as ASPLOS, ISCA, MICRO, HPCA, CCS, VLDB, PLDI, WWW, ICS, PACT, CGO, IPDPS, INFOCOM, ICDCS, DAC, ICCAD, FPGA, FCCM, ISSCC, CICC, RTAS, RTSS, etc., and (iii) IEEE and ACM transactions. His research works have been cited over 22,500 times. He has received six Best Paper Awards and another 12 Best Paper Nominations. He has received the U.S. Army Research Office Young Investigator Program Award (YIP), IEEE TC-SDM Early Career Award, Asia Pacific Signal and Information Processing Association Distinguished Leader Award, Massachusetts Acorn Innovation Award, design contest awards from multiple conferences, and other research awards from Google, MathWorks, etc. His research work has been reported and cited by around 500 media. He has 13 academic descendents as tenure-track faculty members at University of Minnesota, Michigan State University, University of Georgia, Clemson University, etc.