M.Sc. student in Biomedical Engineering (Bioelectrics) at the University of Tehran (ECE School).
B.Sc. in Electrical Engineering.
I build and analyze machine learning, deep learning, and graph-based models—especially for image processing and data-driven modeling—with a strong interest in interpretable AI and graph learning.
- 📍 Tehran, Iran
- 🔎 Current thesis: Brain Age Estimation using fMRI-based functional connectivity graphs (graph learning / GNN pipelines).
- Machine Learning, Deep Neural Networks
- Graph Neural Networks / Graph Representation Learning
- Image Processing
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Graph-Neural-Networks — study notes + implementations for graph learning & GNNs
https://github.com/mjmousavi97/Graph-Neural-Networks -
Deep-Learning — course homeworks/projects (Keras/TensorFlow)
[https://github.com/mjmousavi97/Deep-Learning] -
MachinLearning-TehranUni-2024 — supervised & unsupervised ML (many algorithms implemented from scratch)
[https://github.com/mjmousavi97/MachinLearning-TehranUni-2024] -
Image-processing-TehranUni-2025 — digital image processing assignments (Python/MATLAB)
[https://github.com/mjmousavi97/Image-processing-TehranUni-2025] -
Computer-Vision — CV experiments & notebooks using Open-CV [https://github.com/mjmousavi97/image-processing-and-computer_vision-using-opencv]
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C-and-CPP-Projects — Learning and implementing C and C++ language basics and projects [https://github.com/mjmousavi97/C-and-CPP]
- 2nd rank among 60 undergraduate EE students (Arak University entrance cohort).
- Top 0.3% nationwide (23rd among 9,000) in Iran’s M.Sc. EE entrance exam.
- LinkedIn: https://www.linkedin.com/in/mjmousavi1997/
- GitHub: https://github.com/mjmousavi97