Computer Science

Rice’s online Master of Computer Science degree ranked No. 3 by Fortune

Rice’s online Master of Computer Science program was honored by Fortune Magazine with the No. 3 designation in its national rankings.

Rice senior awarded Knight-Hennessy Scholarship to pursue graduate studies at Stanford University

Rice University senior Ryan Wang has been selected as a recipient of the Knight-Hennessy Scholarship, marking a significant milestone in his academic journey. The scholarship will enable him to pursue graduate studies at Stanford University, where he will probe deeper into bioengineering with a focus on neuroscience.

Rice engineers develop innovative microbiome analysis software tools

Rice engineers have developed two new graph-based computational tools for tracking genomic variation within microbiomes.

Faculty, staff, students honored for excellence in teaching, mentoring, service

Each year, Rice honors members of the university community who have served students through outstanding teaching, dedication and service.

First curved data link sidesteps key 6G wireless challenge

Researchers at Rice and Brown University have demonstrated the world’s first curved data link, an achievement that could revolutionize wireless communications.

Rice’s Moshe Vardi awarded honorary title by the University of Calabria

For the 10th time, Moshe Vardi, University Professor at Rice and an expert in computational logic, artificial intelligence and databases, has been awarded an honorary title by a university outside the United States, this time by the University of Calabria, Italy.

Luay Nakhleh elected to AIMBE College of Fellows

Rice’s Luay Nakhleh has been elected a fellow of the American Institute for Medical and Biological Engineering (AIMBE) for his achievements in computational biology.

Rice team brings home top prize in 2024 Ethics in Engineering Case Competition

A team of Rice engineering students have won this year’s national Ethics in Engineering Case Competition hosted by Lockheed Martin.

Rice group helps improve support device for end-stage heart failure

Rice’s Joseph Cavallaro and his team are part of two multi-institutional projects that have won grants from the Department of Defense (DOD) and the NIH, respectively, to develop and optimize new left ventricular assist devices (LVADs).

Ken Kennedy Institute hosted 17th annual Energy High Performance Computing Conference

The Ken Kennedy Institute at Rice hosted the 17th annual Energy High Performance Computing Conference on March 5-7 at the BioScience Research Collaborative, welcoming over 560 guests to Rice from 30 states and 11 countries.

U.S.-Latin America ‘policy lab’ could leverage AI as arena for international collaboration

Rice experts weighed in on a public hearing of the National Artificial Intelligence Advisory Committee (NAIAC) on the risks, opportunities and potential ways to leverage artificial intelligence as an arena for international collaboration between the U.S. and Latin America.

Rice’s Nai-Hui Chia wins NSF CAREER Award

Rice computer scientist Nai-Hui Chia has won a National Science Foundation CAREER Award to develop a new theoretical framework to facilitate the development of efficient quantum algorithms for a range of problems in quantum physics and computer science as well as enhance the security of quantum cryptography.

Data-processing tool could enable better early stage cancer detection

A team of Rice researchers has developed a tool that is better at integrating single-cell DNA and RNA data than more recent, state-of-the-art technologies. The findings could lead to better early stage cancer detection.

Rice joins federal consortium on AI safety

Rice has joined the nation’s leading artificial intelligence stakeholders to participate in a Department of Commerce initiative to support the development and deployment of trustworthy and safe AI.

Widely used machine learning models reproduce dataset bias in Rice study

Rice researchers found two machine learning models widely used for immunotherapy research did not correct for bias present in the publicly available data used to train the models, which appears to favor higher-income populations.