Ardavan Pedram is an adjunct professor of Computer Science at Stanford University, a technologist in computer hardware/software platforms for machine learning and high-performance parallel supercomputing systems. He has proven track record for leading successful research projects resulting in publications at IEEE/ACM conferences and journals.
His work on algorithm/architecture codesign of specialized accelerators for linear-algebra and machine-learning has won two NSF Awards in 2012 and 2016 respectively. Dr. Pedram is currently teaching Hardware Accelerators for Machine Learning (ML) course CS217 and directing the PRISM research project at the Computer Science Department. He is an early technical staff founding member at an AI chip startup company with over $100 Million investment revolutionizing ML hardware.
He has served as core panelist of NSF Division of Communication and Computation Foundation (CCF) since 2017 as well as on the technical program committee of ASAP, CASES, IPDPS. He has served as a reviewer to several IEEE/ACM Journals including ACM Transactions on Architecture and Code Optimization (TACO), Parallel Computing (TOPC), and IEEE Transactions on Embedded Computing Systems (TECS), Parallel and Distributed Systems (TPDS). He has received several awards including IEEE Micro Top Picks 2018, Best Paper Award IEEE ASAP 2017, TCPP Best Poster Award, IEEE IPDPS 2013, Best Paper Runner-Up in IESS, Germany, 2009.
Contact: perdavan @ stanford.edu