Reza Safarzadeh

Hi, My name is Reza. I am a Ph.D. student at the Department of Geomatics Engineering, University of Calgary, Canada. I hold a master’s degree in Geospatial Information Systems (GIS) from the K.N.Toosi University of Technology and a bachelor of science in Geomatics Engineering from the Iran University of Science and Technology (IUST).

As a spatial data scientist with over a decade of experience in both academia and industry, I specialize in developing innovative AI algorithms and logistics solutions—including smart recommendation systems for transportation. My work focuses on harnessing geospatial data to uncover valuable insights that empower organizations to understand patterns, predict outcomes, and optimize operations.

I’m interested in using Artificial Intelligence and Machine Learning, including Deep Learning, Generative AI, and Reinforcement Learning, to solve real-world problems in mapping and transportation. My work focuses on making hydrogen- and electric-powered vehicles more efficient, improving how they plan routes, predict their driving range, and save energy—especially for autonomous fleets. I also explore digital twins, which are virtual models of cities and transportation networks, to help improve urban planning, traffic flow, and sustainability.

Outside of my research, I love challenging my mind with a good game of chess and staying active with a fun match of ping pong. I also enjoy winding down with movies—whether it’s a gripping sci-fi thriller, a thought-provoking documentary, or a classic film.