Scholar
Md Mostafijur Rahman
Google Scholar ID: e0SzHPMAAAAJ
Graduate Research Assistant, The University of Texas at Austin
Citations & Impact
Citations
1,629
H-index
14
i10-index
17
Publications
20
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several papers in the fields of medical image segmentation, classification, synthesis, etc., such as LoMiX (NeurIPS ’25), EfficientMedNeXt (MICCAI ’25 Highlight), and EffiDec3D (CVPR ’25 Highlight). Received multiple awards including MIDL 2025 Travel Award, MICCAI 2025 NIH Travel Award, and CVPR 2025 Broadening Participation Award.
Research Experience
- Worked as a machine learning research intern at GE HealthCare, the National Institutes of Health (NIH), and Bosch AI. Previously, worked as a Senior Software Engineer at Samsung Research Bangladesh and spent four years as a faculty (Assistant Professor and Lecturer) at the University of Barishal, Bangladesh.
Education
- Ph.D. Candidate at The University of Texas at Austin, Advisor: Prof. Radu Marculescu, specializing in AI system design and medical imaging.
Background
- A final year Ph.D. Candidate at The University of Texas at Austin, advised by Prof. Radu Marculescu. Research interests include designing and building AI systems that make medical imaging and computer vision more efficient, robust, and accessible in low-resource settings. Focuses on computational efficiency, data efficiency, robustness, and generalization.
Miscellany
- Currently on the job market, looking for tenure-track faculty or research roles.
