Dr Ehsan Moradi
Positions
Post Doctoral Associate
Postdoctoral Office
Contact information
Web presence
Phone number
Office: 2109472
Location
Office: Math Science618
Preferred method of communication
Background
Educational Background
Ph.D. Computer Science, University of Saskatchewan, 2025
Biography
Ehsan Moradi is a researcher with a deep focus on GeoAI, geometric modeling, and GPU-accelerated visualization for large-scale networks. He earned his PhD in Computer Science from the University of Saskatchewan, completing his thesis on "Visualizing Cluster Structures in Large Graphs: GPU-Accelerated Algorithms, Map-Based Layouts, and Multi-Node Influence Analysis." His core expertise lies in developing high-performance computational algorithms to process and visualize massive datasets. Currently, his research includes leading systematic studies on global GeoAI systems and exploring advanced geometric modeling techniques.
Beyond his research, Ehsan brings extensive experience in computer science education. He has spent years instructing core academic courses—including computer architecture, object-oriented systems, and mathematical logic—both at the University of Saskatchewan and internationally. Whether developing new algorithms or mentoring students, he is dedicated to bridging the gap between advanced computational theory and scalable, real-world data visualization.
Projects
- Led the development of interactive dashboards for visualizing hydrological model outputs.
- Collaborated with environmental scientists to create user-friendly tools for data analysis.
- Designed and implemented a real-time visualization dashboard for transit data analysis, facilitating immediate network monitoring.
- Collaborated with city officials to translate complex data into actionable insights for urban mobility planning and decision-making.
- Supervised and mentored three undergraduate research assistants, guiding them through the software development and data analysis lifecycle.
- Co-developing a modular, plugin-based framework for web-based geospatial dashboards, utilizing JSON-configured components to maximize code reusability.
- Mentoring two undergraduate students in modular software design and full-stack development best practices.
- Designed and implemented GPU-accelerated algorithms for scalable network visualization.
- Conducted research on streaming algorithms for real-time graph visualization.
- Published in top-tier conferences and journals, including Journal of Graph Algorithms and Applications.
- Collaborated on interdisciplinary projects applying visualization techniques to environmental and urban data.
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