Dr. Alireza Talebpour

Assistant Professor

Dr. Alireza has pursued multiple research topics, including driver behavior modeling, traffic flow theory, safety, and intelligent transportation systems. His current research focuses on connected and automated transportation systems.

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.


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.


Ruben Emmanuel Gomez

Ruben is a computer engineering major currently working on integrating Data from different sensors into the neural network. 


Connie Xavier

Thesis Title: Speed Distribution Based Approach for Shockwave Detection in A Connected Driving Environment.


David Florence

Thesis Title: Feasibility Analysis of A Connected Vehicle Wrong-Way Driver Countermeasure System.


Rinda Sai Gunjala 

Rinda was a graduate student in Mechanical Engineering at Texas A&M University. He received his M.E. in 2016. His research was on design and testing of the R/C car. system integration, low level programming and ROS development.