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Faculty News
A collaborative paper led by researchers at UMass Amherst, with contributions from Assistant Professor Longfei Shangguan and the University of Maryland, Baltimore County, recently received a Distinguished Paper Award at UbiComp 2026.
Fourteen SCI faculty members and six Intelligent Systems Program (ISP) faculty members ranked among Research.com’s 12th Edition of Best Computer Scientists in the U.S. and World’s Best Computer Scientists.
Student News
Senior computer science Student Griffin J. Hurt has been named a 2024 Graduate Research Fellowship Program (GRFP) scholar.
Two students from the School of Computing and Information (SCI) Department of Computer Science have been recognized for their undergraduate research by the Computing Research Association (CRA)!
Last month, 33 students (18 in person and 15 virtually) from the School of Computing and Information (SCI) attended the Grace Hopper Conference (GHC) in Orlando, FL.
Colloquium Talks
Large language models can solve difficult problems, explain their reasoning, and confidently defend their answers. But how often is this confidence appropriate, and how can we tell whether these systems are actually reasoning rationally? A natural place to start is with their predictions: do they reflect the available evidence? Do they change appropriately when new information arrives? In this talk, I'll explore these questions through research connecting language models with decision-theoretic and linguistic theories of rationality.
Software development is undergoing a major shift from human coding to AI generation. While the rise of “vibe coding” promises massive productivity gains, it introduces severe security risks. This talk provides a clear demonstration of AI coding risks, practical approaches to train secure agents, and insights into the future of autonomous security defense.
Software development is shaped by constant disruption—from open-source dependency abandonment to generative AI (GenAI) tools fundamentally reshaping how code is written. In this talk, I'll present two lines of work, each examining a different disruption. Finally, I'll outline my research vision for helping developers anticipate and navigate the disruptions of tomorrow—from building AI-powered tools for software supply chain resilience to studying how GenAI is reshaping development team practices and processes.