Dr. Alireza Talebpour
Assistant Professor
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.
Doctoral students
Yalda rahmati
Yalda is a Ph.D. student at Texas A&M University 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 Khajeh-Hosseini
Mohammadreza is a Ph.D. student at the Zachry Department of Civil Engineering at Texas A&M University. 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.
Jerry Cazares
Jerry recently defended his MS thesis and will continue his studies as a PhD student. His MS thesis focused on analyzing widespread use of V2X communications for improving incident management at a congested urban corridor. Lane closures resulting from incidents can cause queue formation and reduce travel times. V2X communication capabilities are expected to provide warnings that can reach larger driver populations faster than response strategies in use today. This study uses microscopic simulation to model behavior at various levels of market penetration of connected vehicles and study the impacts on freeway travel time during an incident.
Gihyeob An
Gihyeob is a Ph.D. student in Transportation engineering at Texas A&M. 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 Kim
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.
Master students
Saber Messhenas
Saber is a Master student in Transportation engineering at Texas A&M. His research is focused on evaluating the impact of Zero-Occupancy-automated Vehicles (ZOVs) on the congestion and energy consumption.
Akash Baskaran
Akash is a masters student in the Electrical Engineering department at Texas A&M University. He received his bachelor's degree in Electrical and Electronics Engineering from National Institute of Technology, Trichy, India. His areas of interest include robotics, computer vision, and autonomous vehicles. He is currently working on his master's thesis on developing the control and perception modules of an autonomous drive by wire car.
undergraduate students
Ruben Emmanuel Gomez
Ruben is a computer engineering major currently working on integrating Data from different sensors into the neural network.
Former students
Connie Xavier
Thesis Title: Speed Distribution Based Approach for Shockwave Detection in A Connected Driving Environment.
Connie Xavier
Thesis Title: Feasibility Analysis of A Connected Vehicle Wrong-Way Driver Countermeasure System.