About Me
I’m Mahdis Sepahvand, a Computer Engineering undergraduate at Shahid Beheshti University. My academic and research interests lie at the intersection of computer vision, deep learning, medical imaging, and generative & diffusion models. I am also passionate about exploring multimodal learning and data-driven applications in science and healthcare.
For my Bachelor’s project, I worked on fine-tuning large multimodal models for medical image analysis — an experience that deepened my interest in integrating AI techniques with real-world medical challenges. I’m eager to pursue Master’s or direct PhD opportunities where I can continue researching in these fields and contribute to meaningful, interdisciplinary AI projects.
Outside of academia, I enjoy writing, reading books, and listening to music, which help me stay creative and inspired.
You can reach me via:
Education
Bachelor, Computer Engineering, Shahid Beheshti Univeristy, Tehran, Iran
Diploma, Mathematics & Physics, National Organization for Development of Exceptional Talents (Sampad), Iran
Languages
Publications
Bachelor Thesis
A multimodal AI framework for the diagnosis of Odontogenic Cysts
This ongoing research project focuses on developing a multimodal deep learning framework for the diagnosis of odontogenic cysts.Our approach integrates data from panoramic radiography (radiomics), histopathology (digital pathology), and clinical/demographic records, enabling the model to learn complementary features from each modality.We fine-tuned the Qwen2.5-7B large multimodal model using the QLoRA optimization technique, achieving a diagnostic accuracy of up to 92%, significantly outperforming unimodal baselines.This work is still in progress and will be further expanded into a research paper in the near future. More updates coming soon!
Experience
For additional details about each experience, please see my CV or contact me.
Undergraduate Research and Teaching Assistant (Part-time)
Managed assignments, ran recitations, mentored projects, and managed teams as a head teaching assistant.
Course list
- Computer Vision (A collaborative project with the Faculty of Medicine, University of Tehran) — Fall 2025, Dr. Hamed Malek, Dr. Nazanin Mahdavi
- Compiler Design (Head Teaching Assistant) — Fall 2024, Dr. Mehran Alidoost Nia
- Algorithm Design — Fall 2024, Dr. Farokh Legha Moazemi
- Formal Languages & Automata Theory Course (Head Teaching Assistant) — Spring 2024, Dr. Ramak Ghavami Zadeh
- Algorithm Design — Spring 2024, Dr. Ramak Ghavami Zadeh
- Advanced Programming — Spring 2023, Dr. Sadegh Ali Akbari
- Formal Languages & Automata Theory Course — Spring 2023, Dr. Ramak Ghavami Zadeh
- Introduction to Programming — Fall 2022, Dr. Sadegh Ali Akbari
Courses
