Phillip Gibbons

Phillip Gibbons is a Professor in the Computer Science Department and in the Electrical & Computer Engineering Department at Carnegie Mellon University (CMU). He received his Ph.D. in Computer Science from the University of California at Berkeley. Prior to joining CMU, Gibbons was a researcher at Bell Laboratories and Intel Research Pittsburgh, and co-director of the Intel Science and Technology Center for Cloud Computing. His research areas include parallel computing, distributed systems, databases, computer architecture and machine learning. Recent projects range from the theory and practice of processing-in-memory (e.g., best paper runner-up at VLDB’23) to computer architecture support for robotics (e.g., best paper at Sigmetrics’24). His 200+ publications span theory and systems, and have been cited 42,500 times with an h-index of 89. Gibbons won the ACM Paris Kanellakis Theory and Practice Award for pioneering the foundations of streaming data analytics (2019). He was founding Editor-in-Chief for the ACM Transactions on Parallel Computing, Associate Editor for the Journal of the ACM and other journals, and program/area/general chair for over a dozen conferences. Gibbons is both an ACM and IEEE Fellow.