Taminul Islam

I study computer vision and machine learning, with a focus on building lightweight, production-ready systems. My work spans efficient large language and vision-language models, multimodal multi-task learning, and video object segmentation — broadly applicable to real-world problems where compute-efficient perception, multimodal reasoning, and reliable decision-making matter, and I’m open to extending these methods into new domains as the science demands.

I am a PhD Candidate at the School of Computing, Southern Illinois University Carbondale, advised by Dr. Khaled R. Ahmed at the BASE Lab. My research has been published in Nature Scientific Reports, IEEE Transactions on Sustainable Computing, CVPR, ECCV, WACV, ICCV, ICPR, IEEE Big Data, and ICMLA, with one article recognized as a Highly Cited Paper for 2024–25. I am an IEEE Graduate Student Member and an ACM Professional Member.