Mahdi Moghaddami

Computer Science PhD Student | AI Researcher specializing in Deep Learning

🧠 About Me

I am a PhD student in Computer Science at Oakland University. My research focuses on developing deep learning models to predict the progression of Alzheimer's disease using images of the brain!

🌟 Currently looking for a summer internship opportunity! 🌟

Technical Stack

Languages

Python (Expert) C# C++ JavaScript

Frameworks & Tools

PyTorch TensorFlow scikit-learn Hugging Face Docker Git / GitHub AWS / GCP Jupyter Linux

Research Areas

Deep Learning Computer Vision NLP Time-series

🛠️ Selected Projects

CNN Compression

Model compression using PyTorch

Description: I used knowledge distillation and pruning to compress a CNN model trained for CIFAR-10 classification.

Result: Achieved 93% compression losing only 3 percentage points in test accuracy.

View Code (GitHub)

Summarizer

A text summarizer using PyTorch, nltk, and transformers

Description: It's a simple tool that can summarize text using 4 different models.

Live Demo

📄 Publications & Research

Predicting Alzheimer's Disease Progression Using rs-fMRI and a History-Aware Graph Neural Network

Moghaddami, M. Siadat, M. Toma, A. Laming, C. Fu, H. Proceedings of SPIE-the International Society for Optical Engineering 2026. [PDF]
Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences

Moghaddami, M. Schubring, C. Siadat, M. Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287:804-816, 2025. [PDF/PMLR]
[Extended Abstract] Comparative Study of Cognitive Impairment Modeling for Alzheimer's Disease - Longitudinal vs. Cross-Sectional

Moghaddami, M. Siadat, M. Babajani-Feremi, A. IEEE-EMBS International Conference on Biomedical and Health Informatics, 2023.[PDF]