Digital Signal Processing Symposium honors Don Johnson for 50 years at Rice Thu, 03/20/2025 - 09:32

Rice Department of Electrical and Computer Engineering to host April 28 event celebrating Don Johnson’s legacy in research and teaching

Rice establishes Center for Membrane Excellence to advance separation technologies for energy and sustainability Wed, 03/19/2025 - 10:10

The announcement was made during the Rice Global Paris Center Symposium held March 17-18 in Paris.

Prof. Moshe Vardi announced as a recipient of the 2025 IEEE CS Computer Pioneer Award in Honor of the Women of ENIAC Thu, 03/13/2025 - 11:18

This award recognizes and honors those whose long-standing efforts have resulted in the advancement and continued vitality of the computer industry.

Rice CS faculty explore the future of AI: LLMs, Deepseek, and GenAI Tue, 03/11/2025 - 16:02

Panel discussion provides an accessible introduction to recent AI innovations and challenges

Finding sustainable environmental solutions for communities around Lake Chad in Nigeria Tue, 03/11/2025 - 15:21

Prof. Viens leads a new international consortium of researchers in this effort

Santiago Segarra wins EURASIP Early Career Award Fri, 03/07/2025 - 08:48

Rice professor honored for advancements in graph signal processing and graph-based machine learning

Charlos Ward ’98 ’06 brings expertise in sustainability to alma mater Thu, 03/06/2025 - 12:28

Chemical engineering alumna shares highlights from her multifaceted career and the importance of alumni connections

Rice ECE faculty and students win prestigious awards and accolades at 2025 ISSCC Fri, 02/28/2025 - 11:43

The department has an impressive showing at ISSCC for the second year in a row

Larin and Kruse win awards at HACASA Fri, 02/07/2025 - 08:49

Two graduate students receive awards from the Houston chapter of American Statistical Association

Jiaming Liu wins a prestigious student paper award from the American Statistical Association Thu, 02/06/2025 - 14:18

The association’s Section on Bayesian Statistical Science selected Liu for his groundbreaking research on improving uncertainty quantification in scalable Bayesian methods.