Kyrillidis appointed an inaugural Dean Fellow for Computing and AI
New Dean Fellows program enhances research in computing, health and sustainability
Patel received the award for his impact in high-performance computing at SC25
Tool can pinpoint disease-relevant cell types across many complex conditions
Rice associate professor of computer science Todd Treangen serves as Chair of the ASM BIG Program Committee.
A Rice Ph.D. alum, Xing focuses on secure systems and scalable AI infrastructure
Kyrillidis appointed an inaugural Dean Fellow for Computing and AI
New Dean Fellows program enhances research in computing, health and sustainability
Workshop highlights ‘pivotal moment’ for future of AI in space exploration
The In-Space Physical AI Workshop convened top scientists, engineers, entrepreneurs and government leaders to explore the role of AI in space exploration.
CS PhD alumni credit Anastasios Kyrillidis’ mentorship as crucial to their success
Kyrillidis’ OptimaLab is helping shape the next generation of leaders in CS and AI
CS professor encourages high-school students to challenge stereotypes
Rodrigo Ferreira was a featured speaker at YES Prep’s 2024 LatinX Leadership Summit
Rice CS researchers find ‘safer’ way to code
Paper awarded for findings on reuse of regular expressions
Making motion planning faster, cheaper, and more effective
Kavraki Lab researchers develop new computational robotics tools
Event to showcase AI-powered robots and technologies for space exploration Nov. 4-5
Rice CS faculty join industry leaders, startups, government agencies and researchers to explore the cutting edge of AI in space exploration
Rice CS faculty member talks JavaScript to high school students
Mack Joyner visited Houston’s Mickey Leland College Prep Academy, showed the ethical side of hacking
Meet Rice CS’ new faculty: Xiaoyun Fu, Lecturer
Fu's teaching areas include computational thinking algorithms and theory of computation
Meet Rice CS’ new faculty: Anjum Chida, Lecturer
Chida specializes in prediction algorithms and constructing complex learning models