Awards

Brown University’s Dean of the Faculty gives out five different awards annually to recognize excellence in teaching, and this year, Eliot Horowitz Assistant Professor of Computer Science Malte Schwarzkopf has received the Philip J. Bray Award for Excellence in Teaching in the Physical Sciences.  

Skylar, a member of the Class of 2026, has earned one of the nation's leading undergraduate scholarships for her achievements in mathematics, engineering and the natural sciences.

Brown CS doctoral student Rahul Sajnani has just been honored with the Best Student Paper Award for his research (“GeoDiffuser: Geometry-Based Image Editing with Diffusion Models”) at the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Joseph was recognized as a leader in his field whose significant contributions meet or exceed the criteria of existing VGTC awards by being inducted into the IEEE VGTC Virtual Reality Academy at the annual IEEE VR conference.

Last month, SIGPLAN chose the 2023 work by forthcoming Brown CS faculty member Will Crichton, doctoral student Gavin Gray (formerly at ETH Zürich), and faculty member Shriram Krishnamurthi as one of four Research Highlights papers from the 2021-2023 period.
 

According to The Brown Daily Herald, Brown University is the top producing school of Fulbright U.S. students for the 2024-25 academic year. It's the fifth time Brown has earned the recognition in the past decade. 

 

CAREER Awards are given in support of outstanding junior faculty teacher-scholars who excel at research, education, and integration of the two within the context of an organizational mission.

Second year PhD student Rui-Jie Yew was recently recognized as a runner-up for Best Student Paper at the Artificial Intelligence, Ethics, and Society (AIES) Conference in San Jose at the end of October.

In a testament to Brown’s tradition of leadership in computer security for 2.5 decades, members of the Brown CS community co-authored 14 of the conference’s accepted papers, served as 7 members of its Program Committee, and were recognized as one of its Distinguished Reviewers. 

Ellie and her collaborators are conducting new research to enable us to understand and control so-called “black box” AI by creating tools that inspect, diagnose, and manipulate high-level algorithms.