Audience: Faculty
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Wang, H. (CSE) – Accelerating RTL Simulation with Specialized Graph Partitioners
Register transfer level (RTL) simulation is an invaluable tool for developing, debugging, verifying, and validating hardware designs. However, the performance of RTL simulation has long been a limiting factor in industry. Despite the inherent parallelism of hardware, current RTL simulators have not achieved practical performance gains due to fundamental challenges in communication, synchronization, memory bandwidth,…
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AM Seminar: Solution Discovery in Fluids with High Precision Using Neural Networks
Presenter: Ching-Yao Lai, Assistant Professor, Stanford University Description: I will discuss examples utilizing neural networks (NNs) to find solutions to partial differential equations (PDEs) that facilitate new discoveries. Despite being deemed universal function approximators, neural networks, in practice, struggle to fit functions with sufficient accuracy for rigorous analysis. Here, we developed multi-stage neural networks (Wang…
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Shields, S. (CM) – Procedural, Player-Centric Game Balancing
Game balance is a term widely used among players, researchers, and designers of games. It is a concept that feels vitally important to how we make and play games – but when we try to define it or implement it, we seldom get the same definition twice. Balance appears differently to whoever is judging it,…
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Fan, Y. (CSE) – Building Human-Centered Multimodal AI Agents
As multimodal artificial intelligence systems become increasingly embedded in everyday technology, there is a growing need to design human-centered AI agents that support and amplify human capabilities rather than replace them. This dissertation investigates how to build human-centered multimodal AI agents, framing human-centeredness as an agent-level objective that requires both accessible, assistive interaction and reliable,…
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Mashhadi, N. (CSE) – Compositional, Clinically Conditioned, and Confound-Aware Deep Learning for Alzheimer’s Disease Neuroimaging
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia. Neuroimaging and clinical biomarkers can reveal early disease changes, but building reliable machine learning models is difficult because data come from different scanners and sites, some modalities are missing, labeled cohorts are limited, and factors such as age and scanner/site effects…
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“The Cigarette Surfboard” screening with filmmaker Ben Judkins (Kresge ’17)
Join Banana Slug alumni filmmaker Ben Judkins (Kresge ’17, film and digital media) and “ciggy board” creator Taylor Lane for a screening of their award-winning documentary, The Cigarette Surfboard (presented by the California Coastal Commission‘s Whale Tail Grant). 5:00-6:00 PM | alumni meet & greet with light refreshments 6:00-7:35 PM | film screening 7:35-8:30 PM | filmmaker discussion 8:30-9:00 PM | mingle REGISTER ABOUT…
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Xu, Y. (CSE) – Right Place, Right Time: Accelerating Edge Computation on Modern Heterogeneous SoCs
Modern edge computing increasingly relies on heterogeneous System-on-Chip (SoC) architectures. These chips tightly integrate general-purpose CPUs with various specialized accelerators, including GPUs, FPGAs, and AI accelerators, all under a shared memory architecture. Although these shared-memory SoCs enable more efficient communication and data sharing between different processing units, they are notoriously difficult to program and tune…
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CSE Colloquium – Improving Efficiency and Reliability of Foundation Models in Clinical AI
Presenter: Vasiliki “Vicky” Bikia, PhD, Stanford Department of Biomedical Data Science and Institute for Human-Centered AI (HAI) Abstract: Deploying foundation models in health requires both computational efficiency and reliable generation. In this talk, I present two studies that address these dimensions separately but with a shared goal of real-world clinical deployment. The first study focuses on…
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2026 Right Livelihood International Conference
The Right Livelihood International Conference is a five-week global conference exploring how education can strengthen democracy, collective intelligence, and just futures. Bringing together Right Livelihood Laureates, students, faculty, and community partners across continents, the conference combines asynchronous learning with participatory dialogue and collaborative action. Rather than advocating specific outcomes, the conference positions education as a democratic…
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Wellness in Action: Managing Stress in Times of Uncertainty
Monday, February 23, 1:00 PM – 1:30 PM Location: Register for the Zoom link Periods of uncertainty can increase stress, reduce focus, and affect overall well-being. Participants will learn practical strategies to pause, regain perspective, and respond to stress with greater clarity. These sustainable skills build resiliency, help maintain calm, and create balance during challenging…