John Liagouris receives an Amazon Research Award
John Liagouris received an Amazon Research Award for his proposal “Pushing secure MPC beyond niche applications”. Learn more about the program on the AmazonScience website.
Category: Award
John Liagouris receives the NSF CAREER award
John Liagouris has received the NSF CAREER award for his project “CAREER: A Unified Analytics Stack for Secure Computation”.
Adam Godel wins UROP Summer award
Adam Godel is an award recipient of the Summer 2026 Undergraduate Research Opportunities Program (UROP). Adam’s project will focus on the secure computation of edit distance, which has applications in DNA sequencing and private schema matching. Congratulations, Adam!
ORQ receives the Distinguished Artifact Award at SOSP’25
ORQ, CASPLab’s multi-party computation framework for relational analytics, received the Distinguished Artifact Award at SOSP ’25, the ACM SIGOPS 31st Symposium on Operating Systems Principles. Congratulations!
Vasia Kalavri receives a Distinguished Reviewer Award at VLDB’25
Vasia Kalavri receives the NSF CAREER Award
PI Vasia Kalavri has received an NSF CAREER award for her project “CAREER: Adaptive resource management and reconfiguration mechanisms for streaming dataflow systems”. .
Talia Chen is a finalist of the SIGOPS SRC at SOSP’24
Talia Chen participated in the Student Research Competition of SOSP’24, undergraduate category, with a poster of her work, “Scaling GNN Sampling on Large-Scale Graphs with io_uring”. Talia made it to the final round, where she gave a short presentation in front of the judges and SOSP attendees. Congratulations, Talia!
Best Short Paper Award at DaMoN’24
Our paper “In situ neighborhood sampling for large-scale GNN training” received the best short paper award at DaMoN’24. Congratulations to all authors!
Vasia Kalavri recognized as a Confluent Community Catalyst
Vasia Kalavri was nominated and accepted to become a Confluent Community Catalyst for the class of 23-24.
New research award from NSF
PI Vasia Kalavri has received an NSF award to support her project “Scaling Graph Machine Learning Workloads on Modern Storage” for the next 3 years.