Md Al Siam

I am a Graduate Research Assistant at Tuskegee University, pursuing an MSc in Electrical Engineering with a focus on Computer Vision and Artificial Intelligence.

Currently, I am working on Representation Learning applications in Computer Vision, collaborating with the NSF AI Institute for Artificial and Natural Intelligence, advised by Dr. Dewan Fahim Noor and Dr. Mandoye Ndoye. My work aims to advance the field of self-supervised learning for practical computer vision applications.

I earned a B.Sc. in Computer Science and Engineering from Rajshahi University of Engineering and Technology where I worked with Prof. Dr. Md Al Mehedi Hasan, Abu Sayeed, and Prof. Dr. Jungpil Shin (University of Aizu, Japan). My junior and senior year thesis and internships focused on developing efficient deep learning models for gesture and gait recognition.

With a strong foundation in both theoretical research and practical software development, I have experience spanning from academic research to industry applications. Previously, I served as a Lecturer at Northern University Bangladesh, where I taught computer science courses and coached competitive programming teams. I also worked as a Software Engineer at Samsung R&D Institute Bangladesh, focusing on AI-powered calm technology R&D, and at Enosis Solutions, where my role focused on developing full-stack business-scale web applications.

 Imagine a world where good things will be fun to do only beacuse they are good things!