Parsa Kamalipour

Parsa is currently pursuing a (Thesis-based) Master of Computer Science degree from Concordia University in the Department of Computer Science and Software Engineering (CSSE), at Gina Cody School of Engineering and Computer Science. He is conducting research at the Algorithms & Complexity Lab under the supervision of Professor Hovhannes Harutyunyan. Parsa’s true expertise is Theoretical Computer Science with some additional touch of Applied Mathematics, Software Engineering, and Data Mining.

Parsa has a keen interest in areas such as Design and Analysis of Algorithms, Graph Theory, Discrete Mathematics, Data Structures, and Complexity Theory. His research interest spans various subcategories within the algorithms domain, including Combinatorial Optimization/Algorithms, Graph Algorithms, Graph Mining, Social Network Analysis, Approximation & Randomized Algorithms, and Online Algorithms. Read more

Selected Recent NEWS!

January 2026

I am pleased to share that my paper “Spider Community Detection: Seeded Geodesic Expansion with Modularity-Guided Refinement and Greedy Merge Matching” has been accepted for publication in the journal Computers, Special Issue: Recent Advances in Social Networks and Social Media.

🍁 Excited to share that I’ve been selected as the Graduate Teaching Assistant for four courses this Winter 2026 semester!

It’s an honor to continue contributing to student learning across multiple areas of computer science and software engineering at Concordia University. 🎓 Courses:

COMP 248 – Object-Oriented Programming I — Lab Demonstrator

SOEN 363 – Data Systems for Software Engineers — Tutorial Instructor and Marker

COEN 311 – Computer Organization and Software — Lab Demonstrator

COEN 317 – Microprocessor‑Based Systems — Lab Demonstrator

December 2025

I am pleased to share that I was awarded the Concordia Conference and Exposition Allowance by Concordia University in 2025, in recognition of conference-related scholarly activities.

November 2025

I am pleased to share that my paper “From Dense Graphs to Meaningful Communities: Assessing Community Quality Using Geodesic Distance Modularity on Metric Backbone-Sparsified Networks” has been accepted for publication and presentation at the
12th International Conference on Social Networks Analysis, Management and Security (SNAMS 2025).

The paper will be presented in Vienna, Austria, during November 25–28, 2025.

October 2024

🎉 Excited to share that I have been awarded the DRW Graduate Scholarship in Computer Science, issued by Concordia University and DRW, a Montreal-based company! 🚀

August 2024

🌟 Excited to share that I’ve been awarded the Concordia Faculty of Engineering and Computer Science Financial Research Support (FRS) by the Gina Cody School of Engineering and Computer Science at Concordia University! 🎓

🎓 Honored to receive the Concordia Merit Scholarship (Entrance Scholarship Award) from Concordia University’s School of Graduate Studies! 🌟

Last update: January 4th, 2026