Dr. Lalita Thakali

Dr. Thakali is a Postdoctoral Fellow at the iTSS lab of University of Waterloo. She recently completed her Ph.D. from UW. Her doctoral research focused on the application of various modeling approaches, including traditional and machine learning approach, and GIS platform for road safety studies. She has contributed to a number of projects from Transport Canada and Ministry of Transportation Ontario. She also has working experience in road geometry design, road construction supervision and transportation planning.  She is currently managing the rail safety improvement project from Transport Canada.

Shuangshuo Wang

Shuangshuo (Mike) is a Ph.D. student at the University of Waterloo. He has a Master’s degree in Civil Engineering from the University of Pittsburgh in the USA and a Bachelor’s degree in Civil Engineering from Tongji University in China. His Master’s degree research was focused on transportation operation and management, specific in congestion management. He is currently working on the rail safety improvement project.

Dr. Chao Wen

Dr. Wen is a Postdoctoral Fellow at the iTSS lab of the University of Waterloo, and also an Associate Professor at School of Transportation & Logistics,  Southwest Jiaotong University. Dr. Wen’s specialty lies in in high-speed railway with a focus on operation and performance issues. He is working on a number of projects that focus on the performance of high-speed rail in China.

Javad Lessan

Javad is a Ph.D. student at the Department of Civil Engineering, University of Waterloo. He has a master’s degree in Railway Transportation Engineering from Iran University of Science and Technology and a Bachelor’s degree in Industrial Engineering.  He is currently working in operations management and transport operations field and his research interests include network modeling and optimization, multiple criteria decision analysis, fuzzy programming, logistics and supply chain management.

Dr. Xu Wang

Dr. Wang is a Postdoctoral Fellow at the Centre for Smart Transportation, University of Alberta, and an Assistant Professor of School of Civil Engineering at Shandong University. Dr. Wang’s research focuses on connected vehicle research for improving traffic mobility and safety. She also has research experience in freeway traffic operation and traffic flow theory.

Can Zhang

Can is a Ph.D. student at the Department of Civil & Environmental Engineering, University of Alberta. He has a Master’s degree in Operational Research and a Bachelor’s degree in Computational Mathematics from Nanjing University, China. Can’s research mainly focuses on freeway demand control and management. He has research experience in network modeling and traffic flow theory.

Asad Lesani

Asad received his B.Sc. and M.Sc. degrees in electrical engineering from the University of Tehran, Iran, specializing in control systems. He is currently a Ph.D. student in the Department of Civil Engineering and Applied Mechanics, McGill University, Montreal, Canada. His professional and research experience includes Intelligent transportation systems, sensor design, transportation safety, optimization and control theory. His Ph.D. research area is related to developing the different type of multimodal traffic monitoring systems. He developed hardware components of pedestrian/cyclist counting systems based on Ultrasonic and Lidar technology. He also developed a WiFi/Bluetooth monitoring system to monitor either pedestrian or vehicular networks. His ongoing projects are developing parking monitoring system, crosswalk monitoring system and vehicular speed detection and monitoring using Lidar technology.

Ehsan Nateghinia

Ehsan is currently a Ph.D. student in the Department of Civil Engineering and Applied Mechanic, McGill University, Montreal, Canada. He received his Bachelor’s and Master’s degrees in Electrical Engineering (Automatic Control) from University of Tehran, Tehran, Iran. His research experiences and interests include Intelligent Transportation Systems, designing and implementing traffic data collection systems, image processing, machine learning, control theory. In his master’s study, he implemented a video-based vehicle-tracking algorithm in order to extract some traffic data in an intersection. In his Ph.D., he is studying pedestrian and bicyclist-counting systems based on combining machine learning and computer vision algorithms with the cameras and Lidar technologies.