Assistant Professor
Rensselaer Polytechnic Institute
Troy, New York, United States
Dr. Ruimin Ke embarked on his journey at RPI as an Assistant Professor in August 2023. He was a faculty member at the University of Texas at El Paso from 2021 to 2023. Dr. Ke possesses profound expertise in intelligent transportation systems (ITS), with a specialization in developing machine learning algorithms and edge computing systems tailored for ITS applications. Dr. Ke's academic background includes a Ph.D. and M.S. in Transportation Engineering from the University of Washington, an M.S. in Computer Science from the University of Illinois Urbana-Champaign, and a B.E. in Automation from Tsinghua University. His scholarly contributions to the field comprise over sixty peer-reviewed papers, a published book, and a few patents. He has led projects funded by the National Science Foundation, US Department of Transportation, and North America Development Bank, among others. Dr. Ke is an editor of four journals: Nature-Scientific Report, Transportation Research Record, Data Science for Transportation, and Journal of Airport Transport Management. He received multiple research awards in recognition of his collaborative research efforts, such as the 2023 TRB Best Paper Award, the 2022 Outstanding Paper Award from IEEE DTPI Conference, the 2020-2021 COTA Best Dissertation Award, and the Editor's Choice Paper Award from Journal of Transportation Engineering. He holds memberships in the TRB standing committee on Artificial Intelligence and Advanced Applications (AED50), the TRB standing committee on Statewide/National Transportation Data and Information Systems (AED10), the ASCE T&DI Infrastructure Systems Committee, the ASCE T&DI Artificial Intelligence in Transportation committee, and IEEE.
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Prototype Data Dashboard for Multi-Source Transportation and Community Health Data Analytics
Monday, June 17, 2024
1:30 PM - 2:45 PM ET
Transforming Conversational Inputs into Dynamic Traffic Simulations Using Large Language Model
Monday, June 17, 2024
1:30 PM - 2:45 PM ET