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Quivia Sp’26!

A huge thank you to our ACM for organizing such a fantastic evening for our students! The event was a perfect blend of a high-energy Quiz Bowl and casual trivia. Students walked away with great prizes, enjoyed plenty of food, and had a much-needed chance […]


Recent Publication Accepted at MSR 2026!

A big shout out to our first year MS student, Geng Li! The paper, coauthored with Drs. Ying Zhang and Fan Yang, titled RustXec: A Vulnerability Reproduction Dataset for Assessing Security Risks in Open-Source Rust Applications, has been accepted for presentation at the Mining Software […]


President Wente walks and talks with Prof. Errin Fulp

President Wente walks and talks with Prof. Errin Fulp about his research on computer network systems and what ant colonies can teach us about cybersecurity. “We’d like to have that same sort of resilience, adaptiveness and self-healing in networks,” Fulp said. He encourages his students […]


Recent Publication Accepted at SC25!

A big shout out to our former CS MS student, now PhD student in the Department of Computer Science, Purdue University, João De Oliveira Pinheiro! The paper, coauthored with Drs. Ballard and Devarakonda, titled Parallel Rank-Adaptive Higher Order Orthogonal Iteration, was accepted in the International […]


Recent Publication Accepted at AAMAS 2026!

A big shout out to CS MS student Risal Shahriar Shefin, and former CS MS student, now PhD student in the Department of Biomedical Engineering, WFU, Debashis Gupta! Their paper, coauthored with Dr. Sarra Alqahtani, titled Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems, is […]


Recent Publications – AAAI-26

A big shout out to our M.S. students, Marufur and Suraj, whose excellent work has been accepted by AAAI ’26, a top-tier conference in the field of artificial intelligence! The acceptance rate for the first paper was 17.6%, and the second was 28.6%. Their hard […]


Confidence Calibration for Large Language Models by Dr. Guanchu Wang

Join us Monday, November 17 at 2:00 PM in Manc 120! Dr. Guanchu Wang will talk about his research titled Confidence Calibration for Large Language Models. Abstract: Despite the widespread adoption of large language models (LLMs) in daily life, their reliability remains a major concern. One […]


AI-in-the-loop for Informed Healthcare by Dr. Sriraam Natarajan

Historically, Artificial Intelligence has taken a symbolic route for representing and reasoning about objects at a higher-level or a statistical route for learning complex models from large data. To achieve true AI in complex domains such as healthcare, it is necessary to make these different […]


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