Workshops
The Frontiers of Artificial Intelligence-Empowered Methods and Solutions to Urban Transportation Challenges
Workshop Synopsis
With quickly growing quantity and variety of transportation data, artificial intelligence (AI) technologies are revolutionizing transportation research from system management to automated vehicle and infrastructure control. Emerging AI technologies combined with other analytical methods will lead to improved scientific understandings, transformative informed decisions, and innovative, proactive management solutions of urban transportation infrastructure systems (UTIS). In this workshop, researchers from transportation and computer science disciplines will be invited to explore the frontiers of AI-empowered methods, solutions, and workforce development to urban transportation challenges. The workshop aims to identify the tremendous research and education needs and challenges, and further stimulate transformative research in both transportation and AI communities.
Workshop Schedule
Speakers
Xuedong Huang, PhD
Key Note Address
XD Huang is a Microsoft Technical Fellow and Azure AI Chief Technology Officer. He is responsible for Microsoft’s Azure AI engineering and research to bring the dream of making machines see, hear and understand human beings a reality. Huang has made contributions to the software and AI industry not only by his executive leadership but also through his scientific publications and inventing more than 170 US patents that impacted billions customers globally via Azure AI.
Session I: AI-Empowered Methods and Solutions for Smart UTIS Sensing and Monitoring
Xiaoliang Zhao, PhD
Director, Transportation and NDE, BlueHalo
Charles Chung
VP, Transoft Solutions Inc.
Po Yuan, PhD
Founder & CEO, Eyecloud.AI Inc
Sanjay Ranka, PhD
Professor, University of Florida
Session II: AI-Empowered Methods and Solutions for Emerging UTIS Operations and Control
Andreas Malikopoulos, PhD
Associate Professor, University of Delaware
Arun Sathanur, PhD
Senior Scientist, PNNL
Pitu Mirchandani, PhD
Professor, Arizona State University
Yafeng Yin, PhD
Professor, University of Michigan
Session III: AI-Empowered Methods and Solutions for Understanding Interactions between UTIS and Users
Chandra R. Bhat, PhD
Professor, UT Austin
Cynthia Chen, PhD
Professor, University of Washington
John Kenney, PhD
Director of connected vehicle research and a Sr. Principal Researcher at Toyota InfoTech Labs
Yaw Adu-Gyamfi, PhD
Assistant Professor, University of Missouri
Session IV: The Potential and Limitations of AI Applications in UTIS Management
Yiran Chen, PhD
Professor, Duke University
Randell Iwasaki, PE
Leader, State and Local Transportation at Amazon Web Services
Maryam Fazel
Professor, University of Washington
Hani Mahmassani
Professor, Northwestern University
Organizing Committee
Yinhai Wang, PhD (Chair) - University of Washington
Lili Du, PhD (Chair) - University of Florida
Hani Mahmassani, PhD - Northwestern University
Xianfeng Yang, PhD - University of Utah
Yaw Adu-Gyamfi, PhD - University of Missouri
Osama Osman, PhD - Leidos
Samiul Hasan, PhD - University of Central Florida
Zhe Jiang, PhD - University of Florida
Simon Du, PhD - University of Washington.
Supported by
Upcoming - Phase II of this NSF workshop
Theme: Integrating AI in Transportation Infrastructure System Education and Workforce Development
Meeting Location: Orlando, Florida
Proposed Date: Dec 4, 2022