Md Mehedi Hasan
MSc Student in Computational Social Systems · Graz University of Technology
I study social phenomena through computational methods — combining machine learning, natural language processing, simulation, and data analysis to understand the patterns and implications of socio-technical systems. I am an MSc student at TU Graz, Austria, building toward a career in academic research.
Research Interests
Computational Social Science
Applying quantitative and computational methods to study patterns in human behavior, social structures, and collective dynamics.
Natural Language Processing
Detecting bias, analyzing sentiment, and uncovering structural patterns in how language reflects and shapes social realities.
Agent-Based Simulation
Building computational models of social systems to study emergent group behavior and test theoretical propositions about collective dynamics.
Featured Projects
Spatial Conflict Modeling (2025)
Agent-Based Modeling · Mesa · Python
A simulation study examining how spatial mobility and shared Points of Interest shape inter-group conflict dynamics.
Gender Bias in Book Reviews (2024)
NLP · Sentiment Analysis · Statistical Testing
Detecting gender bias in literary review corpora using NLP methods and statistical hypothesis testing.
Spatio-Temporal Data Reconstruction (2025)
Time Series · Spatial Interpolation · KNN · IDW
Reconstructing missing sensor time-series data using combined spatial and temporal interpolation methods.
Publications
Hasan, M. M., et al. (2021). A Smart Polluted Water Overload Drainage Detection and Alert System. IEEE Xplore. https://ieeexplore.ieee.org/document/9447664
Hasan, M. M., et al. (2021). A Computer Vision System for the Categorization of Citrus Fruits Using Convolutional Neural Network. IEEE Xplore. https://ieeexplore.ieee.org/document/9501790
News
- September 2024 — Enrolled in MSc Computational Social Systems at Graz University of Technology, Graz, Austria.
- 2021 — Two research papers accepted and published in IEEE Xplore.
Get in Touch
I welcome inquiries about research collaboration, academic discussion, or PhD opportunities.