Author: Zachary Handshoe
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Fall 2021 Seminar & Tutorial Series
TAMIDS announces its program for the Fall 2021 Data Science seminar and tutorial series, running from September 6 until November 23, 2021, starting Mondays at 1:50pm, online or in person in ETB 1034. Read more
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Transportation Data Science Seminar Series: Maryam Mousavi: Safety and Operational Benefits of Autonomous Vehicles on an Urban Arterial Nearby a Driveway
Maryam Mousavi, Ph.D. Assistant Research Scientist at the Texas A&M Transportation Institute, will present an online seminar in the Transportation Data Science Seminar Series on “Safety and Operational Benefits of Autonomous Vehicles on an Urban Arterial Nearby a Driveway” on Thursday August 12th, 2021, 8-9pm CST. Read more
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Transportation Data Science Seminar Series: Tianjun Lu: Leveraging Data Science for Transportation and Environmental Challenges
Tianjun Lu, Ph.D. Assistant Professor of Earth Science and Geography at California State University Dominguez Hills, will present an online seminar in the Transportation Data Science Seminar Series on “Leveraging Data Science for Transportation and Environmental Challenges” on Thursday July 29th, 2021, 8-9pm CST. Read more
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Transportation Data Science Seminar Series: Xilei Zhao: Planning Innovative Mobility Systems with Machine Learning
Xilei Zhao, Ph.D. Assistant Professor in Transportation Engineering at the University of Florida, will present an online seminar in the Transportation Data Science Seminar Series on “Planning Innovative Mobility Systems with Machine Learning” on Thursday July 15th, 2021, 8-9pm CST. Read more
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Transportation Data Science Seminar Series: Yalong Pi: Traffic Information Retrieval and Analysis in Major Events Based on Monitoring Visual Data
Yalong Pi, Ph.D. Postdoctoral Data Scientist at the Texas A&M Institute of Data Science (TAMIDS), will present an online seminar in the Transportation Data Science Seminar Series on “Traffic Information Retrieval and Analysis in Major Events Based on Monitoring Visual Data” on Thursday July 1st, 2021, 8-9pm CST. Read more
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Transportation Data Science Seminar Series: Kailai Wang: Generational Trends in Travel Mode Choice
Kailai Wang, Ph.D. Assistant Professor, Department of Construction Management at the University of Houston, will present an online seminar in the Transportation Data Science Seminar Series on “Generational Trends in Travel Mode Choice” on Thursday June 3rd, 2021, 8-9pm CST. Read more
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Transportation Data Science Seminar Series: Yu Zhang: Network Design and Traffic Management of Urban Air Mobility
Yu Zhang, Ph.D. Associate Professor, Department of Civil and Environmental Engineering at the University of South Florida, will present an online seminar in the Transportation Data Science Seminar Series on “Network Design and Traffic Management of Urban Air Mobility” on Thursday June 17th, 2021, 8-9pm CST. Read more
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Transportation Data Science Seminar Series: Bahar Dadashova: Random Parameter Models for Estimating Statewide Daily Bicycle Counts using Crowdsourced Data
Bahar Dadashova, Ph.D. Assistant Research Scientist, Texas A&M Transportation Institute, will present an online seminar in the Transportation Data Science Seminar Series on “Random Parameter Models for Estimating Statewide Daily Bicycle Counts using Crowdsourced Data” on Thursday May 20th, 2021, 8-9pm CST. Read more
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Transportation Data Science Seminar Series: Hui Kong: Transportation Network Companies and the Future of Urban Mobility
Hui Kong, Ph.D. Assistant Professor of Urban and Regional Planning at the Humphrey School of Public Affairs at the University of Minnesota, will present an online seminar in the Transportation Data Science Seminar Series on “Transportation Network Companies and the Future of Urban Mobility” on Thursday April 29th, 2021, 4-5pm CST. Read more
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Update: 2021 Student Data Science Competition
Five teams of Texas A&M University students shared more than $6,000 in prizes during the final of the 2021 TAMIDS Student Data Science Competition, which was held online on April 14, 2021. The competition required students to develop models to predict the impact on electoral outcomes of contributions and spending by campaigns and donors, and… Read more