Shahriar Samee

I’m a Computer Science and Engineering student and Research Assistant driven by curiosity and a strong interest in solving meaningful problems through technology. I enjoy exploring ideas, experimenting with new approaches, and turning research concepts into practical systems. I’m particularly interested in interdisciplinary work where computing can contribute to real-world impact, and I’m continuously working to grow as both a researcher and an engineer.

My research interests lie at the intersection of Computer Vision and Deep Learning, with a focus on developing robust and interpretable AI systems for real-world applications. I am particularly interested in visual recognition, object detection, multimodal learning, and explainable AI, as well as exploring how these methods can be adapted to challenging, data-limited environments. I am also interested in human-centered AI and intelligent systems that can improve accessibility, safety, and decision-making.