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This talk will highlight over a decade of research at the intersection of industrial engineering, mechanical engineering, human-computer interaction, and medicine. It will showcase how a team of engineers and medical professionals are transforming the way we prepare and assess the clinical competence of medical residents through advances in simulation technology.

As large language models (LLMs) such as ChatGPT and Gemini become increasingly integrated into research and operational workflows, a critical question arises: Can these systems be trusted to behave safely, predictably, and reliably under real-world conditions? This talk explores that question through recent findings, including our own, on how AI models behave when confronted with unexpected or adversarial inputs.

CS PhD students have the opportunity to apply for a CS Travel Award, which grants students $600 in travel assistance when presenting research at a conference. Three CS Travel Award recipients will present their research at this Friday's colloquium. The student presenters and their talk titles are as follows. 

In this talk, I’ll share stories and practical tips from my experience developing ARTEMIS, an augmented reality system for remote surgical guidance, and my current work at Medivis. We'll explore strategies to cut through complexity, improve collaboration, and create solutions that genuinely make a difference for healthcare providers and patients.

In this talk, we will explore the evolution of NLIDBs, from early research milestones to the latest neural-based innovations. We will delve into the challenges that still lie ahead and the exciting research opportunities that await the database community.

Dr. Nils Murrugarra-Llerena, teaching assistant professor, Department of Computer Science, received a $40,100 grant for his program PhawAI, a Peruvian workshop to promote artificial intelligence (AI) research.

This talk explores specialized data storage tools and platforms that significantly enhance the management of big data across various applications—spatial, spatiotemporal, and social. Each category presents unique challenges, from managing large-scale geographic data to processing telecommunications data and capturing complex social interactions.