Category: Seminars

[Talk] Daniel Votipka — Vulnerability Discovery for All: A Human-Centric Approach to Software Vulnerability Discovery

Daniel Votipka

When: Friday, October 10, 3:00 PM Where: Tyler 055 Abstract: Software vulnerabilities persist as an important and costly challenge. Significant effort has been exerted toward automatic vulnerability discovery, but human intelligence generally remains required, and will remain necessary for the foreseeable future. Unfortunately, the pool of experts qualified to perform vulnerability discovery is small and […]

Continue reading "[Talk] Daniel Votipka — Vulnerability Discovery for All: A Human-Centric Approach to Software Vulnerability Discovery" →

[Talk] Tina-Marie Ranalli: An HCI approach to identifying ways to better design computing technologies to meet the unique needs of medieval research

medieval writings

When: Friday, October 3, 3:00 PM Where: Tyler 055 Abstract: Medievalists are scholars, within the larger discipline of the humanities, who specialize in studying various aspects of the Middle Ages, which roughly took place from the year 500 to 1500 C.E., though it varies from culture to culture. In this work, we use a human-computer […]

Continue reading "[Talk] Tina-Marie Ranalli: An HCI approach to identifying ways to better design computing technologies to meet the unique needs of medieval research" →

[Talk] Suresh Venkatasubramanian – Are we winning yet? Frames, measurements, and tools for AI governance.

Suresh Venkatasubramanian

When: 9/26/25 3:00 PM Where: Tyler 055 Abstract: 2025 feels like the year that we started to throw caution to the winds when it came to AI deployment. AI policy priorities have shifted almost 180 degrees, global cooperation has been replaced by talk of American dominance, and the relentless march of LLMs into every nook […]

Continue reading "[Talk] Suresh Venkatasubramanian – Are we winning yet? Frames, measurements, and tools for AI governance." →

[Talk] Omar Montasser – Beyond Worst-Case Online Classification

Omar Montasser

When: 9/19/25 3:00 PM Where: Tyler 055 Abstract: In this talk, we revisit online binary classification by shifting the focus from competing with the best-in-class binary loss to competing against relaxed benchmarks that capture smoothed notions of optimality. Instead of measuring regret relative to the exact minimal binary error — a standard approach that leads […]

Continue reading "[Talk] Omar Montasser – Beyond Worst-Case Online Classification" →

Women in AI Workshop

When: Wednesday, April 16, 4:30-6:00 pm Where: Ballentine 115 Our Computer Science IGT Scholars are presenting a Women in AI Workshop that is open to all who are interested. The workshop will include a panel of women who have worked in the field of Artificial Intelligence in a variety of capacities: Panel: Dawn Fitzgerald – […]

Continue reading "Women in AI Workshop" →

Stephen Bach, Rigorously Benchmarking LLMs for Translating Text to Structured Planning Languages

When: Friday, 4/18/25 11:00 am; Where: Bliss 260 Abstract: Can large language models (LLMs) help with planning? And how should we even measure that ability? In this talk, I will present our work on Planetarium, a benchmark that evaluates LLMs’ ability to generate PDDL (Planning Domain Definition Language) code from natural language descriptions of planning […]

Continue reading "Stephen Bach, Rigorously Benchmarking LLMs for Translating Text to Structured Planning Languages" →

Hang Hua, Advancing Generative AI for Multimodal Intelligence

When: Friday, 3/7 11 am – 12 pm; Where: Tyler Hall 055. Abstract: Generative AI is transforming how machines interact with and augment human capabilities. However, achieving artificial general intelligence (AGI) requires addressing significant challenges in retrained language models (PLM) and multimodal large language models (MLLMs), including the brittleness of language model fine-tuning, imbalanced vision-language […]

Continue reading "Hang Hua, Advancing Generative AI for Multimodal Intelligence" →

Khaled Saifuddin, Hypergraph Learning: From Algorithms to Applications

When: Thursday, 3/6 11 am – 12 pm; Where: Tyler Hall 055 Abstract: This talk explores the advancement of Hypergraph Neural Networks (HyperGNNs) as a powerful extension of Graph Neural Networks (GNNs) to model higher-order relationships in complex systems, particularly in biomedical applications. While traditional GNNs struggle to capture higher-order intricate dependencies, HyperGNNs leverage hypergraphs […]

Continue reading "Khaled Saifuddin, Hypergraph Learning: From Algorithms to Applications" →

Alina Barnett, Inherently Interpretable Neural Networks for Scientific Discovery and High-Stakes Decision Support

When: Tuesday, 3/4 11 am – 12 pm. Where: Tyler Hall 055. Abstract Artificial intelligence is increasingly performing high-stakes tasks traditionally reserved for skilled professionals, with AI systems often surpassing human expert performance on specific tasks. Despite these advances, the “black box” (i.e., uninterpretable) nature of many machine learning algorithms poses significant challenges. These opaque […]

Continue reading "Alina Barnett, Inherently Interpretable Neural Networks for Scientific Discovery and High-Stakes Decision Support" →