Scott Smith is a senior operations research analyst at the Volpe Center with over 25 years of experience in applying technology to improve transportation operations and safety across all modes. He is the travel modeling lead for our resilience and disaster recovery project with US DOT. Dr. Smith holds a doctorate in Civil Engineering from MIT.

David Von Stroh is a senior associate in Cambridge Systematics' Seattle office. He leads CS' climate adaptation and active transportation practice areas for the western US. David manages mobility location analytics and algorithm development for LOCUS, CS' location based services data products. As a project manager, he synthesizes client needs and leads technical data science teams to innovate new tools and solutions. He stays at the forefront of scenario development and data visualization tools through projects for clients such as LA Metro, SCAG, Caltrans, and Sound Transit. Key projects David has managed recently are the SoCal Regional Climate Adaptation Framework, the Sound Transit Equity Analysis Dashboards, and the Caltrans Active Transportation District Plans Needs Prioritization Tools. David also leads land use scenario development and travel market assessments for transit alternatives projects.

Krishnan Viswanathan is a Principal of Cambridge Systematics where he manages the Southeastern United States modeling practice and co-leads the national system data analytics practice. He has more than 25 years of expertise and experience in passenger and freight travel demand models and understanding and using Census and Federal data sources for transportation applications.

Dr. Jinghua Xu currently is the senior forecasting practice leader with Fehr & Peers. She has more than 15 years of experience in transportation, specialized in travel demand forecasting, transportation planning and modeling. She is a registered Professional Engineer in Civil in California. In her career, Jinghua has been focusing on the development and application of complex regional travel demand models, including both trip-based and activity-based models, and has extensive experience in using travel survey data and other data sources to support travel models. In addition, she is active in applying innovative methodologies in travel demand modeling, including but not limited to, the big data application, active transportation tool, new travel survey method, and automated vehicles in travel demand forecasting, etc.

Eshi Eranga Wijegunarathna is a Town Planner of the Urban Settlement Development Authority, Sri Lanka, and before her current appointment; she has also been employed as a Scientist in National Building Research Organization, Sri Lanka. She is a corporate member of the Institute of Town Planners Sri Lanka. Recently, she has completed her master’s studies in Infrastructure Planning from the University of Stuttgart, Germany, and obtained her Bachelor’s degree with a First Class Honors from the Department of Town and Country Planning, University of Moratuwa, Sri Lanka in 2014. She has significant research experience in the field of Disaster Management and Urban Planning.