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πŸ”¬
Researching!
πŸ”¬
Researching!

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@Null-References @VRU-CE @VRU-The-Summer-Coding-Bootcamp-2022

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benymaxparsa/README.md

Hi, I'm Parsa Kamalipour πŸ‘‹

Graduate Researcher & Teaching Assistant @ Concordia University
Algorithms & Complexity Lab Β· MontrΓ©al, QC, Canada

Website Google Scholar LinkedIn ResearchGate ORCID Email


πŸ§‘β€πŸ”¬ About Me

I'm a thesis-based Master's student in Computer Science at Concordia University, working at the Algorithms & Complexity Lab under Prof. Hovhannes Harutyunyan with 5 published or in-progress papers and a teaching portfolio spanning 10 courses (1100+ hours). My work sits at the intersection of Theoretical Computer Science, Graph Theory, and Network Science β€” designing scalable algorithms for complex network analysis.

My core research focuses on community detection in large-scale graphs: I design, benchmark, and publish algorithms that uncover meaningful structure in social, citation, and synthetic networks.

"Design algorithms. Mine graphs. Understand networks."


πŸ”¬ Research Interests

  • Design & Analysis of Algorithms β€” combinatorial optimization, approximation & randomized algorithms
  • Graph Theory & Graph Mining β€” community detection, link prediction, node classification
  • Social Networks Analysis β€” large-scale network evaluation, complex network dynamics
  • Machine Learning on Graphs β€” GNNs, scalable training strategies, network embeddings

πŸ“„ Selected Publications

Year Paper Venue
2026 Spider Community Detection: Seeded Geodesic Expansion with Modularity-Guided Refinement and Greedy Merge Matching (with H. Harutyunyan) Computers β€” Special Issue: Recent Advances in Social Networks
2025 From Dense Graphs to Meaningful Communities: Assessing Community Quality Using Geodesic Distance Modularity on Metric Backbone-Sparsified Networks (with H. Harutyunyan) SNAMS 2025, Vienna, Austria
2024 Extending Refactoring Detection to Kotlin: A Dataset and Comparative Study (with I. H. Moghadam et al.) SANER 2024, Rovaniemi, Finland
2022 Community Detection in Complex Networks Based on an Improved Random Algorithm Using Local and Global Network Information (with F. Dabaghi-Zarandi) Journal of Network and Computer Applications

πŸ› οΈ Skills & Tools

Programming Languages

Python C++ C C# Java MATLAB Ruby Bash x86 Assembly ARM Assembly VHDL Unity

ML & Data Science

PyTorch Scikit-learn NumPy Pandas SciPy Matplotlib Seaborn NetworkX iGraph

Tools & Databases

Linux Git Docker LaTeX Jupyter Markdown Obsidian PostgreSQL MySQL MongoDB Neo4j


πŸ† Honors & Awards

  • πŸ… Concordia Conference and Exposition Allowance (2025)
  • πŸ₯‡ DRW Graduate Scholarship in Computer Science β€” Concordia University & DRW (2024)
  • πŸŽ“ Concordia Merit Scholarship (Entrance Award) β€” Concordia University, School of Graduate Studies (2024)
  • πŸ”¬ Financial Research Support (FRS) β€” Concordia Faculty of Engineering & Computer Science (2024)
  • 🌟 Top Researcher Award β€” Among all undergraduate students in Kerman Province (2023)
  • πŸŽ–οΈ Distinguished Student Award β€” Vali-e-Asr University (2023)

πŸ“¬ Contact

I'm always happy to connect about research, collaborations, or opportunities.


Last updated: March 2026

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  1. Null-References/Uncertainty Null-References/Uncertainty Public

    Uncertainty is an action-adventure space-shooter game.

    C# 61 15

  2. benymaxparsa.github.io benymaxparsa.github.io Public

    Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

    HTML 7 4

  3. Concordia-COMP6651-AlgorithmDesignTechniques Concordia-COMP6651-AlgorithmDesignTechniques Public

    This repository is for the COMP 6651 [Algorithm Design Techniques] graduate-level course at the Concordia University for the Fall of 2024

    TeX 2

  4. Intro-SocialNetworkAnalysis-CommunityDetection Intro-SocialNetworkAnalysis-CommunityDetection Public

    Social Network Analysis using Data Mining techniques.

    Jupyter Notebook

  5. Concordia-COMP6321-MachineLearning Concordia-COMP6321-MachineLearning Public

    This repository is for the COMP 6321 [Machine Leaning] graduate-level course at the Concordia University for the Fall of 2024

    Jupyter Notebook 2

  6. Introduction-to-Data-Mining Introduction-to-Data-Mining Public

    Jupyter Notebook 1