BioPh.D. in Computer Science, University of California, San Diego
Research interests include: Computer Architecture, Compilers, Computer Security
Ashish Venkat is an Assistant Professor in the Department of Computer Science at the University of Virginia, where he joined after obtaining a Ph.D. from UC San Diego. His research interests are in computer architecture and compilers, especially in instruction set design, processor microarchitecture, binary translation, code generation, and their intersection with computer security and machine learning. He is the recipient of NSF’s prestigious CAREER and CRII awards. His work has been published at top-tier venues such as ISCA, MICRO, ASPLOS, HPCA, and USENIX Security, and has received funding from NSF, DARPA, SRC, and Intel. His work has been recognized as an IEEE Micro Top Pick among all top-tier Computer Architecture Conference papers published in 2019, IEEE Design & Test Top Pick (twice) among all Hardware and Embedded Security papers published in Computer Architecture, Computer Security, and VLSI CAD conferences held in the last six years (in 2020 and 2021), best paper nominee at DATE 2023, and as the runner-up of the HPCA Best Paper Award in 2019. His dissertation research has been successfully ported and transferred to the Cloud Platforms division of the IBM Haifa Research Lab.