Bismarck Ledezma Navarro

Bismarck Ledezma Navarro is a Ph.D. Candidate in Transportation Engineering in the Department of Civil Engineering and Applied Mechanics at 苹果淫院. He is a Civil Engineer and master in Highways and Transportation Engineering at the Universidad Michoacana in Mexico. His research objective is to develop a multi-criteria framework for the assessment of bicycle safety and traffic operations efficiency of all modes at intersections under different types of control. His multimodal research aims to integrate all road users (pedestrians, bicyclists,s and vehicles) and study their interactions. Particular focus is placed on cyclists and their behavior as a function of intersection control. He has experience in road safety assessment in the Pan-American corridor in its Central-American section in the Mexican Institute of Transportation, road infrastructure development work for a state organization in Mexico, and development of methodologies for the planning of cyclist infrastructure in Mexico. Currently, he is Project Manager at Transoft Solutions.

Alejandro P茅rez Villase帽or

Alejandro is a Ph.D. Candidate听with research interests in Bus Rapid Transit systems, last-mile mobility, and road safety. He holds a bachelor鈥檚 degree in civil engineering from Universidad Popular Aut贸noma del Estado de Puebla and a master鈥檚 degree in construction project management from Universidad de las Am茅ricas Puebla, both in Mexico. For seven years, he worked as program director for Civil Engineering at Instituto Tecnol贸gico y de Estudios Superiores de Monterrey, in Mexico. His current research with IMaTS Lab focuses on the impact of transportations systems and infrastructure on wellbeing.

Annie Chang

Annie is a Ph.D. student with research interests in micro-mobility, shared mobility, and road safety. She听holds an MSc in Civil Engineering and a BA in Geography from 苹果淫院. Annie听has served various roles in the听international mobility landscape, including Emerging Mobility Manager听at SAE International, Technical Lead for Innovative Mobility at the Intelligent Transportation Society of America, and Transport Planner/Engineer at the World Resources Institute.

Ehsan Nateghinia

Ehsan is a second-year Ph.D. student at the Department of Civil Engineering at 苹果淫院. He holds bachelor鈥檚 and master鈥檚 degrees in electrical and control engineering from the University of Tehran (Iran). His work is in the area of Automated Traffic Monitoring and Road Safety Analysis by using LiDAR sensors. He has worked on automatic cyclist speed measurement with 1D LiDAR and monitoring pedestrian flow in high-volume conditions with 2D LiDAR systems. Ehsan is currently working on the development of a 3D-LiDAR traffic monitoring system which including the algorithms for road user detection and classification as well as the methods for computing the flow parameters (volumes, speeds, densities).

Wooseok Do

Wooseok is a Ph.D. candidate in the civil engineering department at 苹果淫院. He is interested in the societal impact of intelligent transportation systems. He received a bachelor鈥檚 degree in transportation engineering from Keimyung University and a master鈥檚 degree in transportation planning from the University of Seoul, South Korea. He worked as a researcher for the department of road transport in the Korea Transport Institute. His recent focus is placed on the impact analysis of connected and automated vehicles using micro-simulation.

Adham Badran

Adham Badran is a civil engineer in the field of transportation who obtained his first and second degrees in Civil Engineering at 苹果淫院 (2010 and 2014). Adham is currently pursuing a Ph.D. degree in transportation engineering at 苹果淫院.

His work and main research interests are in transportation modeling using innovative techniques and data sources. He is also interested in transportation systems planning and optimization through technology, geometric design, and policy.

Since 2010, Adham has been working for government agencies in the province of Quebec in model development, road project planning, and design, and project management. He is also a member of the Quebec Order of Engineers.

Fuqiang Liu

Fuqiang Liu is a Ph.D. student at 苹果淫院 since September 2019 and is co-supervised by Prof. Miranda-Moreno and Prof. Sun. His research topics are deep learning, spatiotemporal analysis, and the robustness of intelligent transportation systems.

听

Zhenning Wang

Zhenning Wang is a Ph.D. student since September 2021. He holds BASc and MASc degrees in Civil Engineering from the University of British Columbia. He has done several projects related to Before-and-after safety diagnosis using the automated traffic safety analysis system. His previous research was related to the evaluation of the operational and the safety performance of unconventional intersections using microsimulation. His research interests are surrogate safety measures, traffic simulation, and Intelligent Transportation Systems.

Natalia Tinjac谩

Natalia is a civil engineer with a master's degree in transportation and more than 15 years of experience in mobility observatories, public-private partnerships, and international cooperation. She has served as coordinator of the Bloomberg Initiative for Global Road Safety in Bogota, and the Safer Cars Initiative in Colombia, advisor to the Undersecretary of Mobility Policy of Bogota, and the Small Great Works Program at the National Road Safety Agency. Currently a Road Safety Consultant for the Pan American Health Organization and a Ph.D. student in Civil Engineering with an emphasis on road safety at 苹果淫院.

Natalia has been a fellow at the Hebrew University of Jerusalem and in the Global Road Safety Leadership program at Johns Hopkins University. She also led hackathons and urban labs.

Qiujia Liu

Qiujia (Choga) Liu has been a Ph.D. student at 苹果淫院 since September 2022. She received her BE and MSc in transportation engineering from Shanghai Jiao Tong University, Shanghai, China, in 2019 and 2022. She is currently co-supervised by Prof. Luis Miranda-Moreno and Prof. Lijun Sun. Her research interests include deep learning, spatial-temporal data analysis, and human behavior understanding and modeling.