Keynote Speakers

Workshop Guest Speakers

Name	Role/Organization	Topics/Interests
Dr. Bart Nijssen (webpage)	Department Chair, Professor of Civil & Environmental Engineering at University of Washington, Seattle.	Opening Remark
Dr. Steve Brunton (webpage)	Professor of Mechanical Engineering at University of Washington, Seattle; Director of NSF AI Institute.	Keynote Speech
Dr. Yueyue Fan (webpage)	Professor of the Department of Civil and Environmental Engineering at University of California, Davis.	Keynote Speech Dr. Fan's research is on transportation and energy infrastructure systems modeling, with a special interest in integrating applied mathematics and engineering domain knowledge to address fundamental challenges brought by data and system uncertainty, dynamics, and underdetermined issues. Workshop topics of interest: Data-driven studies; Emerging technologies (e.g., generative AI, digital twins, LLMs); Integration of data-driven and modeling approaches.
Dr. Prateek Bansal (webpage)	Presidential Young (Assistant) Professor in the Department of Civil & Environmental Engineering at National University of Singapore (NUS); Director of the Behavioural Cognitive Science (BeCoS) Lab at NUS and a Co-Principal Investigator of the Adaptive Mobility Module at Future Cities Laboratory, Singapore.	Dr. Bansal's group is interested in developing interdisciplinary methods at the intersection of Bayesian Machine Learning, Econometrics, and Computational Psychology to investigate mobility behaviour at an individual level and design mobility systems at an urban scale. Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting).
Dr. Yan Liu (webpage)	Professor in the Department of Computer Science at the University of Southern California (USC), Los Angeles, CA; Director of the Machine Learning Center - Melady Lab.	Dr. Liu's research interests lie in machine learning and its applications to climate science, health care, and sustainability. Dr. Liu has received several awards, including NSF CAREER Award, Okawa Foundation Research Award, New Voices of Academies of Science, Engineering, and Medicine, Best Paper Award in SIAM Data Mining Conference. She serves as general chair for KDD 2020 and ICLR 2023, and program chairs for WSDM 2018, SDM 2020, KDD 2022 and ICLR 2022. Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting).
Dr. Massimiliano Luca (webpage)	Senior Researcher in the Mobile and Social Computing Lab at Bruno Kessler Foundation (FBK), Italy; the Head of Research at Pulse.io.	Currently, Dr. Luca is working on human-AI interaction, cooperative AI and on defining a foundation model for traffic and mobility. Dr. Luca has authored more than 25 peer-reviewed publication at the intersection of deep learning and human mobility. Workshop topics of interest: Emerging technologies (e.g., generative AI, digital twins, LLMs).
Dr. Carolina Osorio (webpage)	Professor in the Department of Decision Sciences at HEC Montréal, Canada; Chairholder of the Scale AI Research Chair in Artificial Intelligence for Urban Mobility and Logistics; and Research Scientist at Google Research.	Dr. Osorio's work focuses on the design of AI and simulation-based optimization algorithms to tackle high-dimensional optimization problems. She was recognized as one of the outstanding early-career engineers in the US by the National Academy of Engineering's EU-US Frontiers of Engineering Symposium and is the recipient of several prestigious awards, including the US National Science Foundation CAREER Award, the MIT CEE Maseeh Excellence in Teaching Award, the MIT Technology Review EmTech Colombia TR35 Award, the IBM Faculty Award, and the European Association of Operational Research Societies (EURO) Doctoral Dissertation Award. Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).
Dr. Sean Qian (webpage)	Professor of the Department of Civil & Environmental Engineering, Heinz College of Information Systems & Public Policy, and the Department of Electrical & Computer Engineering at Carnegie Mellon University (CMU), Pittsburgh, PA; Director of Mobility Analytics Center (MAC) and Founder of a CMU technology spinoff firm, Traffiqure Technologies.	Dr. Qian's research interest lies in large-scale dynamic network modeling and large-scale data analytics for multi-modal transportation systems, in the development of intelligent transportation systems (ITS) and in understanding infrastructure system interdependency. Qian is an active member of the Network Modeling Committee and AI Committee of TRB, and the AI Committee of ASCE. He is the recipient of the NSF CAREER award in 2018 and Greenshields Prize from the Transportation Research Board in 2017. Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).
Dr. Lijun Sun (webpage)	Associate Professor and William Dawson Scholar in the Department of Civil Engineering at McGill University, Montreal (QC), Canada; Director of the Smart Transportation Lab at McGill.	Dr. Sun's research focuses on developing statistical and machine learning techniques, tools, and applications to address the efficiency, resilience, uncertainty, and sustainability issues in urban transportation systems. Current research program of the Smart Transportation Lab centers on modeling spatiotemporal urban mobility and traffic data, stochastic modeling of human driving behavior, probabilistic time series forecasting, Bayesian statistics, and tensor analysis. Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting).
Dr. Takahiro Yabe (webpage)	Tenure-track Assistant Professor and Director of the Resilient Urban Networks (RUN) Lab at the Center for Urban Science and Progress, and the Department of Technology Management and Innovation at Tandon School of Engineering, New York University (NYU).	Dr. Taka's research develops data-driven methods to understand collective social dynamics during disruptions and to model the resilience of complex urban systems to natural hazards, pandemics, and mobility technology. Dr. Taka is the recipient of the Emerging Researcher Award from the Complex Systems Society. Workshop topics of interest: Data-driven studies; Emerging technologies (e.g., generative AI, digital twins, LLMs).
Dr. Yafeng Yin (webpage)	Donald Cleveland Collegiate Professor of Engineering, and Professor and Donald Malloure Department Chair of Civil and Environmental Engineering, and Professor of Industrial and Operations Engineering at University of Michigan, Ann Arbor; Director of limos (lab for innovative mobility system).	Dr. Yin's research aims to analyze and enhance multimodal transportation systems towards efficiency, resilience and environmental sustainability. Currently he focuses on developing innovative mobility solutions and services by leveraging vehicle connectivity and automation. Dr. Yin has published over 150 refereed papers in leading academic journals. He was the Editor-in-Chief of Transportation Research Part C: Emerging Technologies between 2014 and 2020 and currently serves as Area Editor of Transportation Science and Associate Editor of Transportation Research Part B: Methodological, another two flagship journals in the transportation domain. Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).
Dr. Xilei Zhao (webpage)	Assistant Professor of the Department of Civil & Coastal Engineering (Transportation Engineering) at University of Florida (UF), Gainesville, FL; Director of Smart, Equitable, Resilient Mobility Systems (SERMOS) Lab; Co-Leader of the USDOT Tier 1 University Transportation Center, the Center for Equitable Transit-Oriented Communities (CETOC), and Editorial Board Member of Data Science for Transportation.	Dr. Zhao specializes in developing trustworthy AI and data science methodologies to tackle challenging problems in transportation systems and climate resilience. Dr. Zhao's research has been recognized by multiple awards, e.g., the 2024 NSF CAREER Award, the National Academies Early-Career Research Fellowship, and the 2020 Travel Behaviour and Society Outstanding Paper Award. Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).

Name

Role/Organization

Topics/Interests

Dr. Bart Nijssen

(webpage)

Department Chair, Professor of Civil & Environmental Engineering at University of Washington, Seattle.

Opening Remark

Dr. Steve Brunton

(webpage)

Professor of Mechanical Engineering at University of Washington, Seattle; Director of NSF AI Institute.

Keynote Speech

Dr. Yueyue Fan

(webpage)

Professor of the Department of Civil and Environmental Engineering at University of California, Davis.

Keynote Speech

Dr. Fan's research is on transportation and energy infrastructure systems modeling, with a special interest in integrating applied mathematics and engineering domain knowledge to address fundamental challenges brought by data and system uncertainty, dynamics, and underdetermined issues.

Workshop topics of interest: Data-driven studies; Emerging technologies (e.g., generative AI, digital twins, LLMs); Integration of data-driven and modeling approaches.

Dr. Prateek Bansal

(webpage)

Presidential Young (Assistant) Professor in the Department of Civil & Environmental Engineering at National University of Singapore (NUS); Director of the Behavioural Cognitive Science (BeCoS) Lab at NUS and a Co-Principal Investigator of the Adaptive Mobility Module at Future Cities Laboratory, Singapore.

Dr. Bansal's group is interested in developing interdisciplinary methods at the intersection of Bayesian Machine Learning, Econometrics, and Computational Psychology to investigate mobility behaviour at an individual level and design mobility systems at an urban scale.

Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting).

Dr. Yan Liu

(webpage)

Professor in the Department of Computer Science at the University of Southern California (USC), Los Angeles, CA; Director of the Machine Learning Center - Melady Lab.

Dr. Liu's research interests lie in machine learning and its applications to climate science, health care, and sustainability. Dr. Liu has received several awards, including NSF CAREER Award, Okawa Foundation Research Award, New Voices of Academies of Science, Engineering, and Medicine, Best Paper Award in SIAM Data Mining Conference. She serves as general chair for KDD 2020 and ICLR 2023, and program chairs for WSDM 2018, SDM 2020, KDD 2022 and ICLR 2022.

Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting).

Dr. Massimiliano Luca

(webpage)

Senior Researcher in the Mobile and Social Computing Lab at Bruno Kessler Foundation (FBK), Italy; the Head of Research at Pulse.io.

Currently, Dr. Luca is working on human-AI interaction, cooperative AI and on defining a foundation model for traffic and mobility. Dr. Luca has authored more than 25 peer-reviewed publication at the intersection of deep learning and human mobility.

Workshop topics of interest: Emerging technologies (e.g., generative AI, digital twins, LLMs).

Dr. Carolina Osorio

(webpage)

Professor in the Department of Decision Sciences at HEC Montréal, Canada; Chairholder of the Scale AI Research Chair in Artificial Intelligence for Urban Mobility and Logistics; and Research Scientist at Google Research.

Dr. Osorio's work focuses on the design of AI and simulation-based optimization algorithms to tackle high-dimensional optimization problems. She was recognized as one of the outstanding early-career engineers in the US by the National Academy of Engineering's EU-US Frontiers of Engineering Symposium and is the recipient of several prestigious awards, including the US National Science Foundation CAREER Award, the MIT CEE Maseeh Excellence in Teaching Award, the MIT Technology Review EmTech Colombia TR35 Award, the IBM Faculty Award, and the European Association of Operational Research Societies (EURO) Doctoral Dissertation Award.

Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).

Dr. Sean Qian

(webpage)

Professor of the Department of Civil & Environmental Engineering, Heinz College of Information Systems & Public Policy, and the Department of Electrical & Computer Engineering at Carnegie Mellon University (CMU), Pittsburgh, PA; Director of Mobility Analytics Center (MAC) and Founder of a CMU technology spinoff firm, Traffiqure Technologies.

Dr. Qian's research interest lies in large-scale dynamic network modeling and large-scale data analytics for multi-modal transportation systems, in the development of intelligent transportation systems (ITS) and in understanding infrastructure system interdependency. Qian is an active member of the Network Modeling Committee and AI Committee of TRB, and the AI Committee of ASCE. He is the recipient of the NSF CAREER award in 2018 and Greenshields Prize from the Transportation Research Board in 2017.

Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).

Dr. Lijun Sun

(webpage)

Associate Professor and William Dawson Scholar in the Department of Civil Engineering at McGill University, Montreal (QC), Canada; Director of the Smart Transportation Lab at McGill.

Dr. Sun's research focuses on developing statistical and machine learning techniques, tools, and applications to address the efficiency, resilience, uncertainty, and sustainability issues in urban transportation systems. Current research program of the Smart Transportation Lab centers on modeling spatiotemporal urban mobility and traffic data, stochastic modeling of human driving behavior, probabilistic time series forecasting, Bayesian statistics, and tensor analysis.

Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting).

Dr. Takahiro Yabe

(webpage)

Tenure-track Assistant Professor and Director of the Resilient Urban Networks (RUN) Lab at the Center for Urban Science and Progress, and the Department of Technology Management and Innovation at Tandon School of Engineering, New York University (NYU).

Dr. Taka's research develops data-driven methods to understand collective social dynamics during disruptions and to model the resilience of complex urban systems to natural hazards, pandemics, and mobility technology. Dr. Taka is the recipient of the Emerging Researcher Award from the Complex Systems Society.

Workshop topics of interest: Data-driven studies; Emerging technologies (e.g., generative AI, digital twins, LLMs).

Dr. Yafeng Yin

(webpage)

Donald Cleveland Collegiate Professor of Engineering, and Professor and Donald Malloure Department Chair of Civil and Environmental Engineering, and Professor of Industrial and Operations Engineering at University of Michigan, Ann Arbor; Director of limos (lab for innovative mobility system).

Dr. Yin's research aims to analyze and enhance multimodal transportation systems towards efficiency, resilience and environmental sustainability. Currently he focuses on developing innovative mobility solutions and services by leveraging vehicle connectivity and automation. Dr. Yin has published over 150 refereed papers in leading academic journals. He was the Editor-in-Chief of Transportation Research Part C: Emerging Technologies between 2014 and 2020 and currently serves as Area Editor of Transportation Science and Associate Editor of Transportation Research Part B: Methodological, another two flagship journals in the transportation domain.

Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).

Dr. Xilei Zhao

(webpage)

Assistant Professor of the Department of Civil & Coastal Engineering (Transportation Engineering) at University of Florida (UF), Gainesville, FL; Director of Smart, Equitable, Resilient Mobility Systems (SERMOS) Lab; Co-Leader of the USDOT Tier 1 University Transportation Center, the Center for Equitable Transit-Oriented Communities (CETOC), and Editorial Board Member of Data Science for Transportation.

Dr. Zhao specializes in developing trustworthy AI and data science methodologies to tackle challenging problems in transportation systems and climate resilience. Dr. Zhao's research has been recognized by multiple awards, e.g., the 2024 NSF CAREER Award, the National Academies Early-Career Research Fellowship, and the 2020 Travel Behaviour and Society Outstanding Paper Award.

Workshop topics of interest: Modeling-related approaches (e.g., demand forecasting); Emerging technologies (e.g., generative AI, digital twins, LLMs).