Seminar: Positive Feedback in Transportation Systems

C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn

This talk will present tractable models of road traffic and transit which feature positive feedback, whereby my travel choice (e.g., whether to travel, what mode to take, etc.) leads others to make

8th NYUAD Transportation Symposium

19 Washington Square North 19 Washington Square North, NY, NY

The main theme of the 8th NYUAD Transportation Symposium is Transportation and AI: Opportunities and Challenges. Artificial Intelligence (AI) has the potential to revolutionize the transportation industry, by increasing efficiency

Seminar: Gittins Indices for Cost-aware and Freeze-thaw Bayesian Optimization

C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn

Presented by Qian Xie, Cornell Hyperparameter optimization is crucial in real-world applications such as machine learning model training, robotics control, material design, and plasma physics. In transportation, hyperparameter optimization plays

2025 Women in Transportation Panel & Networking

This year's panelists are Dr. Semiha Ergan, Professor at NYU; Geline Canayon, Senior Project Manager at Aimsun & Vice President of ITE MET Section; and Alia Kasem, Senior Data Scientist at NYC

AI: Forging the Future of the AEC Industry

5 metro 5 MetroTech, Brooklyn, NY, United States

Artificial intelligence (AI) is revolutionizing the architecture, engineering, and construction (AEC) industry by driving innovation across planning, design, construction, and operations. At the core of this transformation is the ability

Fireside Chat with David Hammer, co-founder of Popwheels

This student-moderated Fireside Chat will feature David Hammer, co-founder of Popwheels, a cutting-edge e-bike battery swap network. David will discuss his career trajectory, the challenges of standing up urban-scale technology

Prof. Vinitsky Seminar: Robust Self-driving Emerges from Self-play

C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn

Self-play has powered breakthroughs in two-player and multi-player games. Here we show that self-play is a surprisingly effective strategy in another domain. We show that robust and naturalistic driving emerges