Three new faculty members join Rice Computer Science
New hires include experts in quantum computing, efficient sublinear algorithms, machine learning, and high-performance computing
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Rice experts available to discuss emerging computational technologies reshaping disease detection, public health preparedness and next-generation therapeutics
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.
Rice, NASA extend Space Act Agreement
Previous collaborations, including Lydia Kavraki's Robonaut program, were key to negotiating the extension.
Four Rice CS grad students named National GEM Consortium fellows
CS Fellows are sponsored by Adobe, Intel, IBM and Johns Hopkins
Rice CS team accelerates genome variant analysis, processing SARS-COV-2 data in minutes
PhD student Tiancheng Xu presents new hardware accelerator with advisors Alan Cox and Scott Rixner at FCCM22
CDC names Houston Health Dept, Rice a wastewater epidemiology Center of Excellence
Rice CS' Todd Treangen & CEE's Lauren Stadler developed and maintain a weekly viral genome analysis to screen for SARS-CoV-2 variants of concern
Xia “Ben” Hu and Rice CS’ DATA Lab win Outstanding Paper at ICML 2022
G-Mixup graph augmentation substantially improves graph neural networks
Toward robots working in the real world: Failure makes planning better
Kavraki Lab's Tianyang Pan and Rahul Shome present on robotics planning tasks and motions at ICRA
Next-generation networks with fast changes and increased security
NSF grants Rice CS and partners $3M to develop runtime programmable networks
VardiFest22 honors Moshe Vardi’s career and accomplishments
Colleagues, researchers & former students will present during the 2-day workshop held in collaboration with the Federated Logic Conference
NSF grant links Computer Science, Statistics, and Phylogenetics at Rice University
The research will develop novel techniques to scale MCMC to much larger data sets