Brown CS News

Articles by Jesse Polhemus

Suresh Venkatasubramanian Joins Brown CS And Brown’s Data Science Initiative As Professor

Three months later, Suresh Venkatasubramanian’s May 17 tweet (“It’s time for a transition…”) is still getting shared. Announcing a new post at the White House Office of Science and Technology Policy as well as his decision to join Brown CS and Brown’s Data Science Initiative (DSI), as of this writing it’s just shy of 1,000 likes. Suresh, who starts this fall as professor, is the latest hire in the multi-year CS With Impact campaign, the most significant expansion in the department’s history.

A Brown CS Team Takes Third Place At The Thirteenth AIMMS-MOPTA Optimization Modeling Competition


Last week, a two-person Brown CS team achieved a significant honor in the field of applied optimization. "Flamerunners" was composed of Master's student Shamay Samuel and alum Enrique Areyan Viqueira, and coached by Professor Serdar Kadioglu. After being chosen as a finalist from a pool of fourteen applicants, they won third place at the …

Brown CS Alum Scott A. Smolka Wins The 2021 Edsger W. Dijkstra Prize In Distributed Computing


Brown CS alum Scott A. Smolka was recently named a co-recipient of the 2021 Edsger W. Dijkstra Prize in Distributed Computing for the pioneering paper “CCS Expressions, Finite State Processes, and Three Problems of Equivalence”. The Dijkstra Prize is awarded to distinguished papers that have significantly impacted either the theory …

Ernesto Zaldivar Was Named One Of USC's Best Election Cybersecurity Presenters


University of Southern California (USC)'s Election Cybersecurity Initiative is a new, non-partisan, independent project, supported by Google, to help protect campaigns and elections by conducting cybersecurity workshops in all 50 states. Brown CS faculty member Ernesto Zaldivar, Deputy Director of Graduate Studies (Computer Science and Policy Tracks) for Brown's Master of …

R. Iris Bahar Gives A Keynote At ASAP 2021


"Technological advancements have led to a proliferation of machine learning systems to assist humans in a wide range of tasks," writes Professor R. Iris Bahar of Brown CS. "However, we are still far from accurate, reliable, and resource-efficient operations for many of these systems. Despite the strengths of convolutional neural …