Rushdi Alsaleh
Associate Teaching Professor, Multidisciplinary Graduate Engineering Programs
Contact
- r.alsaleh@northeastern.edu
- 410 West Georgia St
Vancouver, BC V6B 1Z3
Canada
About
Dr. Rushdi Alsaleh is an esteemed Assistant Professor of Data Science and Machine Learning at University Canada West (UCW) and a part-time Lecturer at Northeastern University. With over 12 years of experience in academia, research, and consulting, Dr. Alsaleh has established himself as a leading expert in data-driven modeling, big data analytics, artificial intelligence, and machine learning. Dr. Alsaleh has published more than 20 peer-reviewed articles in top-tier journals, amassing over 470 citations with an H-Index of 12. His research frequently explores the intersections of artificial intelligence with game theory, robotics, and multiagent systems.
Dr. Alsaleh holds a Ph.D. in Engineering from the University of British Columbia (UBC) and has completed a Post-Doctoral Fellowship at the same institution. His dedication to education is reflected in his student-centric teaching approach, course development, and the use of simulations in teaching. Beyond academia, Dr. Alsaleh serves as an Operations Manager at Hayat Contracting in Coquitlam, BC, where he oversees projects, manages resources, and ensures quality and safety standards are met. His contributions to the field extend to several practical projects and consultations with various organizations, showcasing his ability to bridge the gap between theoretical research and practical applications.
Education
- PhD, Civil and Environmental Engineering (Transportation Engineering), University of British Columbia, 2021
Selected Publications
- Rushdi Alsaleh, Tarek Sayed, Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning, Transportation Research Part F: Traffic Psychology and Behaviour,
Volume 70 - Alsaleh, R., Sayed, T., & Zaki, M. H. (2018). Assessing the Effect of Pedestrians’ Use of Cell Phones on Their Walking Behavior: A Study Based on Automated Video Analysis. Transportation Research Record, 2672(35), 46-57. https://doi.org/10.1177/0361198118780708
- Payam Nasernejad, Tarek Sayed, Rushdi Alsaleh, Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach, Accident Analysis & Prevention, Volume 161, 2021, 106355, ISSN 0001-4575, 2020,
Aug 14, 2024
New Faculty Spotlight: Rushdi Alsaleh
Rushdi Alsaleh joins the MGEN department in August 2024 as an Associate Teaching Professor in Vancouver, Canada.