Ready to revolutionize transportation systems and discover how disruptive innovations are reshaping the mobility sector? In this immersive five-day course, you will learn to analyze and optimize transportation systems using the latest research from MIT and beyond, delving into demand and network modelling, artificial intelligence, simulation, optimization and control. These methods are explored alongside selected future solutions, with a focus on user-centric new smart mobility services , automated and AI-driven vehicles and alternative energy vectors for decarbonizing transportation. Through real-world case studies, professionals from transport service providers, urban and mobility planning, automotive, and transportation sectors can gain actionable insights to address current and future transportation challenges.
Anticipate where your industry is headed—and secure a competitive advantage—by mastering the latest discrete choice models and techniques. In this five-day course, you’ll work with leading MIT experts to discover how to apply discrete choice techniques; analyze challenges related to data collection, model formulation, estimation, testing, and forecasting; and assess online applications that drive optimization and personalization of results.
Michael obtained an A.B. in Chemical and Physical Biology at Harvard University in 2008. He then moved to Stanford University, where he completed his Ph.D. in Immunology in 2014. At Stanford, he worked in Professor K. Christopher Garcia’s laboratory, studying the molecular mechanisms of T cell receptor recognition, cross-reactivity, and activation. He then conducted postdoctoral research in Professor Carla Shatz’s laboratory, studying novel roles for immune receptors expressed by neurons in neural development and neurodegenerative disease. Michael joined the Department of Biological Engineering in 2016 as an Assistant Professor.
Dan Cziczo is Professor in the Department of Earth, Atmospheric and Planetary Sciences (EAPS) and the School of Aeronautics and Astronautics at Purdue University. He is an atmospheric scientist interested in the interrelationship of particulate matter and cloud formation. His research utilizes laboratory and field studies to elucidate how small particles interact with water vapor to form droplets and ice crystals which are important players in the Earth’s climate system.
Ravi Seshadri is an Associate Professor in the Transport Division of the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research centers on the design and evaluation of mobility solutions that promote equity, efficiency, and sustainability in transportation systems.
He specializes in the use of fiscal and economic instruments—such as tradable permits, congestion pricing, and incentive schemes—for managing transportation networks. His work also explores emerging mobility modes and services, including demand-responsive transit and shared mobility.
Ravi develops and applies advanced modeling methods, ranging from static and dynamic network equilibria to real-time traffic assignment and agent-based simulation frameworks.
Carlos Lima Azevedo is an Associate Professor in the Department of Management Engineering at the Technical University of Denmark (DTU). His research focuses on mathematical modeling and simulation of human mobility, smart mobility services, and the development and evaluation of emerging transportation technologies.
He is also a Research Affiliate at the ITS Lab at the Massachusetts Institute of Technology (MIT). Prior to joining DTU, he was a Research Scientist at MIT and served as Executive Director of the Transportation Education Committee. His early career includes roles as a research scholar at LNEC (Portugal) and Senior Postdoctoral Associate at SMART (Singapore).
Ennio Cascetta is a professor of Transportation Systems Planning at the University of Naples Federico II and a longtime lecturer at MIT. An expert in transport modeling and policy, he has authored influential books and over 150 publications. He has held major leadership roles in Italy’s transport sector, including regional minister, national planner, and president of key transport organizations. He currently leads both Rete Autostrade Mediterranee and Metropolitana di Napoli.
AI is transforming processes across countless disciplines—and the sciences are no exception. In this high-impact three-day course, you’ll master a range of practical AI skills—including predictive modeling, large language models, and AI-driven experiment planning—to streamline and enhance your scientific research and uncover new insights.
Noelle E. Selin is Professor in the Institute for Data, Systems and Society (IDSS) and the Department of Earth, Atmospheric and Planetary Sciences (EAPS). She served as director of MIT’s Technology and Policy Program from 2018-2023, and as Interim Director of IDSS from 2023-2024. Her research uses modeling and analysis to inform sustainability decision-making, focusing on issues involving air pollution, climate change, and hazardous substances such as mercury.
From extreme storms to historic wildfires to record heat, the consequences of climate change are accelerating—fast. The time for action is now.