Khan Raqib Mahmud

I'm a PhD student in Computational Analysis and Modeling at Louisiana Tech University in Ruston, Louisiana where I work as a Graduate Research Assistant in Automatic Control Lab.

I did my Master's in Computer Simulation for Science and Engineering (COSSE), part of the Erasmus Mundus Masters program, at KTH Royal Institute of Technology in Stockholm, Sweden, and Friedrich-Alexander University of Erlangen-Nuremberg in Germany. Additionally, I was awarded a Master's in Computational Engineering as part of this same program. Prior to this, I completed both my Bachelor's and Master's degrees in Mathematics at Shahjalal University of Science and Technology in Bangladesh.

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Research

My research interest lies on developing methodologies for AI based intelligent automated system employing Computer Vision, Large Language Models, Deep Learning techniques, Reinforcement Learning and Transfer Learning to address complex real-world challenges. My goal is to investigate and implement cutting-edge vision-based AI algorithms, utilizing advanced deep learning techniques, large language models and reinforcement learning to create intelligent systems capable of autonomous decision-making.

Uncrewed Aircraft System (UAS)-based wildfire smoke detection using image segmentation and object detection to enhance accuracy and reduce false positives from non-forest areas.

Miscellanea

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