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854.graph500, a graph analytics benchmark developed by Distinguished Professor David Bader, has been selected for inclusion in SPEC CPU 2026, the newest generation of the computing industry's most widely used and rigorously vetted processor benchmark suite.
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Robert Blacha was lead author of “Leaky Apps: Targeted Deanonymization on Mobile Phones” which won Best Paper at the ACM Conference on Data and Application Security and Privacy, in Frankfurt, Germany this summer. The work took place before Blacha graduated in May from Ying Wu College of Computing with an M.S. in cybersecurity and privacy program.
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A new book by Distinguished Professor Julie Ancis examines the psychological forces that sustain antisemitism, its effects on individuals and communities and evidence-informed approaches for confronting it.
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Lindsay Burke ‘26 was first author on “A Swarm Approach to Public Transit Using On-demand Routing in a Slime-Mold-Inspired Framework” for the Distributed Autonomous Robotic Systems conference in Tokyo this fall.
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Ph.D. Candidate Chun Jie Chong and Assistant Professor Zhihao “Zephyr” Yao Win Best Paper at ACM REP 2026 |
Congratulations to Ph.D. candidate Chun Jie Chong and his advisor, Assistant Professor Zhihao "Zephyr" Yao, for winning the Best Paper Award at ACM REP 2026 for "Measuring Reproducibility in LLM Research: A Rubric and Cross-Topic Corpus Study."
This work explored a very timely, real-world challenge, as Large Language Models (LLMs) are rapidly adopted, in making sure that AI software research is actually reproducible and trustworthy.
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Senior Ananya Tyagi Joins Verisk CEO on Panel Discussion |
Senior computer science major and Verisk intern Ananya Tyagi had the incomparable opportunity to join the company's CEO, Lee Shavel, as part of a panel discussion on career lessons, navigating setbacks, and defining success. If you had the chance to ask your CEO one career question, what would YOU ask?
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Professor Jason Wang Awarded New NSF Grant to Research the Impacts of Solar Eruptions on Earth |
We commend Prof. Jason Wang on receiving a new NSF grant to support his project "Collaborative Research: CAIG: AI-Enabled, Physics-Aware, Explainable Forecasting of Thermospheric Density with Uncertainty Quantification." The work focuses on the impacts of solar eruptions on Earth and considers the travel/transit time of solar eruptions from the Sun to Earth. His earlier NSF-funded grant researched predicting solar eruptions on the Sun.
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