Reza Safarzadeh
Positions
PhD Candidate
Schulich School of Engineering, Department of Geomatics Engineering
Contact information
Location
Background
Educational Background
MSc. Geomatics Engineering, K. N. Toosi University of Technology, 2017
BSc. Geomatics Engineering, Iran University of Science & Technology, 2014
Biography
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). The focus of my current research as a Ph.D. student is on developing Artificial Intelligence (ML, DL, and RL) methods for the improvement of smart transportation systems. Working within diverse industrial and academic environments helped me expand my knowledge of a range of data science methods and techniques, including machine learning, deep learning, and reinforcement learning approaches as well as various programming languages (such as Python, Java, and Matlab).
Research
Areas of Research
- Spatial Databases and Spatial Data Mining
- Artificial Intelligence (ML, DL, RL) for Spatial Applications
- Computing with Spatial Trajectories
- Smart Transportation
- Spatial Optimization
- Web-GIS Visualization
Courses
| Course number | Course title | Semester |
|---|---|---|
| ENGO 641/451 | Design and Implementation of Geospatial Information Systems | Fall 2024 |
| ENDG 233 | Programming with Data | Fall 2023 |
Awards
- Alberta Innovates Graduate Student Scholarship Award, Alberta Innovates. 2025
- Global Open Doctoral Scholarship Award, University of Calgary. 2024
- Lab2Market Validate Alberta Mitacs Business Strategy Internship (BSI) Award, Lab2Market and Mitacs. 2024
- Research Impact Excellence Award, University of Calgary. 2024
- Evolve to Innovate (e2i) 2023-2024' Research Funding Award, Innovate Calgary. 2023
- Alberta Machine Intelligence Institute (Amii) Talent Award, Alberta Machine Intelligence Institute (Amii). 2023
- Student of the Year Award, Esri Canada Centre of Excellence (ECCE). 2022
- Best Demo Paper Award, 18th Symposium on Spatial and Spatio-Temporal Data. 2023
Publications
- Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling. Safarzadeh, Reza., & Wang, Xin. International Journal of Geographical Information Science. 1–36. (2024)
- Trailer allocation and truck routing using bipartite graph assignment and deep reinforcement learning. Saeid Kalantari, Reza Safarzadeh, Yunli Wang, Sun Sun, Xin Wang. Transactions in GIS. (2023)
- Multi Objective Optimization of Urban Land Use Allocation Using Meta-heuristic Algorithms and Spatial Metrics. Reza Safarzadeh, Mohammad Karimi, Sanaz Alaei. Journal of Geomatics Science and Technology. (2018)
- Smart Route: A GIS-Based Solution for Mass Transit Design and Optimization. Siddhant Jakhotiya, Apratim Sen, Reza Safarzadeh, Xin Wang. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. (2024)
- An Interactive Map-based System for Visually Exploring Goods Movement based on GPS Traces. Reza Safarzadeh, Yunli Wang, Sun Sun, Xin Wang. Proceedings of the 18th International Symposium on Spatial and Temporal Data. (2023)
- Quality Assessment of the OpenStreetMap Road Network in Calgary, Alberta. Beom Sae Shawn Kim, Reza Safarzadeh, Xin Wang. 31st International Cartographic Conference (ICC 2023). (2023)
- Multi-task graph neural network for truck speed prediction under extreme weather conditions. Reza Safarzadeh, Arash Mozhdehi, Saeid Kalantari, Yunli Wang, Sun Sun, Xin Wang. Proceedings of the 30th International Conference on Advances in Geographic Information Systems. (2022)
- Application of Multi-Objective Particle Swarm Optimization Algorithm in Site Selection for Temporary Housing after Earthquakes in Tehran. Reza Safarzadeh, Mohammad Karimi. International Congress on Earth Science & Urban Development, Tabriz, Iran. (2016)
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