2025 events

Final Oral Examination for Doctor of Philosophy (Computer Science) Rohit Gupta Thursday, October 30, 2025 3:00PM – 4:00PM Global 229 [Bifold] Dissertation Video is now a key medium for learning, communication, and autonomy, so perception systems must recognize fine-grained activities, adapt to new concepts, stay robust under change, and support multiple capabilities. Current methods fall […]

Final Oral Examination for Doctor of Philosophy (Computer Science) Jyoti Kini Friday, October 31, 2025 2:00PM – 3:00PM Research I, 101A [Bifold] Dissertation Autonomous agents rely on robust segmentation, detection, and tracking to perceive, reason about, and act in dynamic environments. These perception capabilities form the core of intelligent systems, from self-driving vehicles navigating urban […]

Final Oral Examination for Doctor of Philosophy (Computer Science) Akash Kumar Monday, October 13, 2025 2:00PM – 3:00PM [Bifold] Dissertation Deep learning has significantly advanced visual understanding tasks like object detection, tracking, and spatio-temporal grounding, benefiting fields such as autonomous vehicles, surveillance systems, and robotics. While large-scale labeled datasets have been crucial to this success, […]

Dr. Vibhav Vineet Microsoft Research Thursday, September 25, 2025 2:00PM – 3:00PM Global 229 | Zoom Abstract As AI shifts from passive models to active agents, the key bottleneck has become data—its quality, coverage, and controllability. Constructing labeled datasets, whether for per-pixel segmentation or multi-step user interaction, is slow, expensive, and privacy-sensitive. At the same […]

Announcing the Final Examination of Matias Mendieta for the degree of Doctor of Philosophy in Computer Science

Dr. Curtis Lisle KnowledgeVis, LLC Thursday, July 24, 2025 3:00PM – 4:00PM ENG1 224 | Zoom Abstract In this presentation, I will cover how I have used AI and machine learning solutions in several healthcare-related contexts. I will start by describing lung cancer research I performed along with radiation oncologists at Orlando Health. We studied […]

Mr. Song Wang University of Virginia Thursday, July 17, 2025 2:00PM – 3:00PM R1 101A | Zoom Abstract As machine learning systems are increasingly deployed in dynamic and real-world environments, it is crucial to ensure their ability to generalize beyond the conditions seen during training, such as new data distributions and novel tasks. In this […]

Mr. Haoteng Yin Purdue University Thursday, July 10, 2025 1:00PM – 2:00PM TCII 222 | Zoom Abstract Graph learning is a critical driver of advances in scientific discovery, business modeling, and AI-assisted decision-making. However, two fundamental roadblocks hinder its broader adoption: the scalability of powerful, subgraph-based learning methods, and the critical need to protect sensitive […]

Dr. Junyuan “Jason” Hong UT Austin Wednesday, July 9, 2025 1:00PM – 2:00PM R1 101A | Zoom Abstract Artificial Intelligence (AI) has demonstrated remarkable potential for tackling grand challenges in human society. Yet, building an integrative Responsible AI system that is comprehensively aligned with multifaceted human values —rather than a single one —remains a major […]

Mr. Mudit Gaur Purdue University Thursday, July 3, 2025 11:30AM – 12:30PM R1 101 | Zoom Abstract Artificial Intelligence has become central to innovation in medical diagnostics, offering In this talk, I will present our recent work on bilevel reinforcement learning (BRL), a powerful framework used in tasks such as reinforcement learning from human feedback […]