Dr. Alireza Talebpour
Dr. Talebpour has pursued multiple research topics, including human-automated vehicle interaction, predictive motion planning, vehicle platooning, and the effects of connectivity and automation on congestion, safety, emissions, and energy consumption.
Yalda is a Ph.D. student at the University of Illinois at Urbana-Champaign in Transportation division. She earned her Bachelor’s degree in Civil Engineering from Amirkabir University of technology, Iran; and her Master’s Degree in Transportation from Sharif University of Technology, Iran. Her research interests include development and application of emerging technologies in transportation, connected and automated vehicles (CAVs), and driver behavior. She is now working on the application of game theory in modeling driver behavior.
Mohammadreza is a Ph.D. student at the University of Illinois at Urbana-Champaign. He received his Master’s degree in Civil Engineering from University of Texas at Arlington in 2015 and his Bachelor’s degree in Civil Engineering from Shiraz University in 2012. His main areas of interest are computational transportation, and connected and automated vehicles. Currently, his research is focused on autonomous vehicles sensor fusion, and developing a new method to optimally and efficiently analyzing the data collected from the LiDAR sensors. He is also working on a research project on evaluating the security of the connected vehicles in terms of tracking connected vehicles in collaboration with researchers from the Department of Electrical and Computer Engineering at Texas A&M.
Gihyeob is a Ph.D. student in Transportation engineering at the University of Illinois at Urbana-Champaign. He obtained M.Sc. in Electrical Engineering from Texas A&M. His research interest is Algorithm and Control system design for Intelligent Transportation System.
Yangwoo is a Ph.D. student at the Zachry Department of Civil Engineering at Texas A&M University. He received his B.S. and M.S. in Electrical and Computer Engineering, the research area of Signal Processing, from Korea University in 2006 and 2008 respectively. He has 7 years experience as a Senior Research Software Engineer in LG Electronics before he start pursuing his Ph.D. His current research focuses on the connected and automated vehicles, especially for the vehicle lateral and speed control with the detected lanes. He also interested in Machine Learning area for the object detection essential to the unmanned vehicles.
Thesis Title: End-To-End Drive By-Wire PID Lateral Control of an Autonomous Vehicle Using Convolutional Neural Networks.
Thesis Title: Designing Optimization Algorithm of Taxi Circulation Using Predictive Approach: Chicago Case Study.
Thesis Title: Speed Distribution Based Approach for Shockwave Detection in A Connected Driving Environment.
Thesis Title: Feasibility Analysis of A Connected Vehicle Wrong-Way Driver Countermeasure System.