2025 events

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 […]

Dr. Pegah Khosravi City University of New York Monday, June 30, 2025 2:00PM – 3:00PM R1 101 | Zoom Abstract Artificial Intelligence has become central to innovation in medical diagnostics, offering unprecedented potential for precision, scalability, and clinical relevance. In this seminar, I will share my research journey at the intersection of deep learning, biomedical […]

Dr. Wanhua Li Harvard University Thursday, June 26, 2025 11:30AM – 12:30PM R1 101 | Zoom Abstract Vision Foundation Models (VFMs) have revolutionized computer vision, achieving remarkable generalization across diverse 2D image tasks. However, building general-purpose intelligent agents requires perception that goes beyond static 2D pixels—integrating language, 3D spatial reasoning, and temporal dynamics. In this […]

Mr. Yue Bai Northeastern University Monday, June 23, 2025 11:00AM – 12:00PM R1 101 | Zoom Abstract Modern intelligence systems are increasingly designed for multiple modalities to solve real-world tasks. On the one hand, these multi-modal models are expected to deliver strong performance across diverse and complex inputs for practice. On the other hand, as […]

Dr. Xinyu Chen MIT Thursday, May 22, 2025 1:30PM – 2:30PM R1 101 | Zoom Abstract In spatiotemporal systems, large amounts of time series data—such as urban mobility and climate variables—are readily available for implementing downstream machine learning tasks and supporting decision-making. Since these data are characterized by spatiotemporal dimensions and reflect underlying system patterns, […]

Mr. Shashank Sonkar Rice University Thursday, May 8, 2025 11:00AM – 12:00PM R1 101 | Zoom Abstract The rapid advancement of artificial intelligence, particularly large language models, is fundamentally reshaping how we learn and interact with knowledge, offering unprecedented opportunities to develop intelligent systems that enhance human learning at scale. However, realizing this potential requires […]

Dr. Xiaomin Lin Johns Hopkins University Monday, May 5, 2025 10:00AM – 11:00AM HEC 101A | Zoom Abstract Autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) are transforming marine research, defense, and industrial applications. However, significant challenges persist in enabling robust perception, energy-efficient operation, and adaptive autonomy in dynamic underwater environments. This talk explores […]