Yang Liu

Yang Liu (Member, IEEE) received the Ph.D. degree in electrical engineering from the University of Michigan, Ann Arbor, MI, USA in 2015. He is currently a Research Scientist with the Scalable Solvers Group of the Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. From 2015 to 2017, he was a Postdoctoral Fellow with the Radiation Laboratory, University of Michigan. From 2017 to 2019, he was a Postdoctoral Fellow with the Lawrence Berkeley National Laboratory. His main research interests include numerical linear and multi-linear algebras (including sparse solvers, randomized low-rank, butterfly and tensor algebras), computational electromagnetics (including fast iterative time-domain integral equation solvers, fast direct integral and differential equation solvers, and multi-physics modeling), scalable machine learning algorithms, and high-performance scientific computing. He authored and coauthored the AT-AP-RASC Young Scientists Award 2022, APS Sergei A. Schelkunoff Transactions Prize Paper 2018, ACES second place student paper, 2012, and the FEM first place student pape, 2014. Dr. Liu was the recipient of LBNL Early-Career Development Laboratory Directed Research and Development (ECD-LDRD) Award, 2022.