Student Events
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NYU Tandon and Verizon present: AI and You
Pfizer Auditorium 5 MetroTech, Brooklyn, NY, United StatesJoin NYU Tandon and Verizon at an event to learn about AI and how it is involved in your everyday lives. Speakers include: Emily Black, Joseph Chow, Rumi Chunara, Emilia
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Author Talk: A Conversation with Michael M. Greenburg
Dibner Library 5 MetroTech, Brooklyn, NY, United StatesThis Thursday is the NYU Press Author Talk with Mr. Michael Greenburg. The book focuses on William LeMessurier, the structural engineer who discovered a fatal flaw in his building’s design
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Seminar: Self-driving Vehicles as Transit in US Settings: Complementing Buses and Trains with Demand-responsive SAVs
ABSTRACT: Shared autonomous vehicles (SAVs) can deliver door-to-door (D2D), first-mile last-mile (FMLM) and dynamic ride-sharing (DRS or pooled-ride) services in many cities today. This 3-part presentation explores potential improvements in
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Student Learning Hub: Introduction to Online Recommendation Systems: From Predict-Sort Architecture to Real-Time Feature Service
This session introduces how modern online recommendation systems, like TikTok shop, deliver personalized content in real time. I’ll walk through the overall system architecture and then focus on the predict-sort
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Urban Tech Summit 2025 – Adaptive Intelligence: Activating Urban AI
Hear from leading experts on how urban tech can help cities do more with less as they deal with uncertainty and prepare for future shocks. Cornell Tech’s Urban Tech Summit
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Seminar: Inverse Learning and Intervention of Transportation Network Equilibrium
Abstract: By 2035, nearly half of all new vehicles in the United States will be connected, generating unprecedented volumes of mobility data. Leveraging emerging connected mobility data, this talk establishes
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C2SMART Career Panel
Join us for a Career Panel featuring NYU's Dr. Jingqin Gao & Holly Chase, Suzana Duran Bernardes of Disney, and Michael Willson of ARUP. This panel will explore career trajectories,
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CUE Distinguished Seminar Series: Simulating the Physical and the Connected: Neural Models for Structures and Networks
Advances in machine learning are transforming how we model and design engineered systems, from industrial components to large-scale infrastructure networks. This seminar presents recent developments in physics-based neural networks and
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Seminar: AI-empowered Digital Twin for Traffic Safety Analysis
Abstract: Traffic safety research faces the paradox of rarity—the most critical crashes occur so infrequently that passive methods relying on historical records cannot accurately estimate traffic risks. This talk first
