Mohammad.H Mohammadi

The best way to reach me: m.h.mohammadimir2017[at]gmail.com - 👉CV

[LinkedIn] – [ORCID] – [Github] – [ResearchGate]

I am an AI Researcher and Product Engineer whose work sits at the intersection of deep learning, medical image analysis, and human-centered design. With a Bachelor’s degree in Computer Engineering (IT) from Islamic Azad University, Najafabad Branch, I specialize in transforming complex artificial intelligence models into scalable, interpretable, and user-centric solutions.

My academic foundation is heavily rooted in HealthTech and computer vision. For my undergraduate thesis, I developed a deep learning pipeline for the Semantic segmentation of breast cancer pathology images using the U-Net model. Building on this passion for medical AI, I have co-authored multiple registered patents, including an AI-driven early detection system for Heterochromia in neonates. These experiences solidified my commitment to leveraging AI for high-impact diagnostic tools.

Beyond academic research, I bring extensive industry experience in bridging the gap between raw machine learning performance and intuitive user experience. As a Design System Specialist and AI Engineer, I have built end-to-end multimodal systems—ranging from Image Captioning models and Speech Recognition web services to robust design architectures for international tech teams. I strongly believe that for AI to be truly powerful, it must also be accessible and trustworthy.

Currently, I am expanding my research into Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG). My ultimate goal is to contribute to cutting-edge innovations in Explainable AI (XAI) and smart systems, ensuring that next-generation technologies seamlessly and safely integrate into human workflows.

Research Interests

• Large Language Models (LLMs) & Generative AI
• Computer Vision & Medical Image Analysis
• Human-Centered AI & Intelligent Systems Design
• Explainable AI (XAI) & Trustworthy Machine Learning

☕ Beyond the Screen

When I am not training models or designing interfaces, you can usually find me cooking, traveling, or cycling.

Education

BSc - Computer Enginnering (Information Technology) - 2015-2021
Islamic Azad University, Najafabad Branch

• Thesis Title: Semantic segmentation of breast cancer pathology images using the U-Net model (Document)
• Thesis Advisor: Dr.Mehdi Jabalameli
• 📄 Course Description