Md Mostafijur Rahman

I am a final year Ph.D. Candidate at The University of Texas at Austin advised by Prof. Radu Marculescu. My research addresses computational inefficiency, data scarcity, model robustness, and generalizability in AI-driven biomedical imaging by designing efficient and accurate architectures, multi-modal learning systems, generative techniques, and data-efficient robust training methods for 2D/3D segmentation, synthesis, translation, denoising, and classification. By bridging the gap between AI advancements and clinical deployment, my work enables scalable, reliable solutions for real-world healthcare settings. My research accomplishments are evidenced by several impactful publications in top-tier venues, e.g., CVPR (2025, 2024), MICCAI (2025), ICCV (2025), MIDL (2025, 2023), WACV (2025, 2024, 2023), ICASSAP (2025), etc. Currently, I am working as an AI/ML PhD Intern at GE Healthcare. In the past, I have interned at National Institutes of Health (NIH) and Robert Bosch Research.

Prior to joining UT Austin, I was a Graduate Student in Software Engineering at University of Dhaka. I was advised by Prof. Mohammad Shoyaib. I have also spent four wonderful years as a faculty (Assistant Professor and Lecturer) at University of Barishal. I had also an opportunity to work as a Senior Software Engineer at Advanced Solution Lab, Samsung Research, Bangladesh.

♣ I am currently on the job market, looking for tenure-track faculty or research roles. ♣

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EER 5.838B
2501 Speedway
Austin, TX
United States
78712

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mostafijur.rahman [at] utexas.edu

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mostafij.csebu [at] gmail.com

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