Jinhua Zhao

Professor, Massachusetts Institute of Technology

AI

Learning

Mobility

Cities

I share practical insights on mobility, AI and cities: real research, actionable frameworks, no jargons.

For city leaders, regulators, industry executives who want to understand what actually works, what’s not, and what might come next.

    Recent Issues

    Tier-1 Edge in ADAS and Autonomous Driving

    Reading Time | 6 minutes

    Where do research ideas come from? The Missing First Step in Science

    Reading Time | 4 minutes

    Not All Cities Can Learn from Copenhagen: Alternative Stories of Walking and Cycling

    Reading Time | 6 minutes

    My Research

    Urban Mobility:

    I integrate behavior science and computation to understand human behavior, design system, and reform policies.

    AI, Learning and Work:

    I also explore how artificial intelligence unlocks new opportunities for education and work, developing solutions for people and institution.

    My Labs

    JTL Urban Mobility Lab

    JTL Urban Mobility Lab

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    Transit Lab

    Transit Lab

    Transit Lab pioneers innovative public transit research, partnering with major agencies worldwide to solve real-world challenges, pushing boundaries and shaping..

    Mens, Manus, Machina

    Mens, Manus, Machina

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    In The News

    Adoption of autonomous vehicles is one race Singapore is not keen on winning

    Cities such as Guangzhou and San Francisco already have robotaxis

    A collaborative approach towards the future of work

    Move the conversation out of the boardroom and also give

    SMART launches research group to advance AI, automation, and the future of work

    The Singapore MIT-Alliance for Research and Technology (SMART), MIT’s research

    Prof Jinhua Zhao on the Singapore-MIT AI Symposium, by CNA Asia

    How to use AI safely and make learning or work

    Where Big Ideas Come From ­­— and Why They Matter

    Cities such as Guangzhou and San Francisco already have robotaxis

    Let us Connect

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