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Md Tauhidul Islam is a Bangladeshi academic and the first from his country appointed as an Assistant Professor at Stanford University.[1][2] He specializes in the applications of artificial intelligence (AI) in healthcare.[3][4]
Early Life and Education
[edit]Born in Pabna, Bangladesh, Islam completed his early education at Sardaha Govt. Pilot High School, Rajshahi and Notre Dame College, Dhaka.[5] He earned his Bachelor's degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2011. He later pursued a Ph.D. in Electrical Engineering at Texas A&M University under the supervision of Prof. Raffaella Righetti,[6] graduating in 2018.[3]
Career
[edit]In 2019, Islam joined Stanford University as a postdoctoral researcher in the Department of Radiation Oncology. His research focuses on the application of AI in medical imaging and high-dimensional biomedical data analysis. In 2025, he was appointed as a tenure-track Assistant Professor at Stanford, becoming the first Bangladeshi to hold such a position at the institution. His appointment was recognized by the U.S. Embassy in Bangladesh as a "trailblazing achievement".[2]
Awards and Recognitions
[edit]In 2023, Islam was awarded the prestigious NIH K99/R00 Award for his work in designing a novel contrastive feature analysis framework for deep neural networks in medical image analysis.[7]
Publications
[edit]Islam has authored several notable publications, including:
- "Revealing hidden patterns in deep neural network feature space continuum via manifold learning," published in Nature Communications.[8]
- "Interpretable discovery of patterns in tabular data via spatially semantic topographic maps," published in Nature Biomedical Engineering.[9]
- "Cartography of genomic interactions enables deep analysis of single-cell expression data," published in Nature Communications.[10]
References
[edit]- ^ https://profiles.stanford.edu/md-tauhidul-islam
- ^ a b "Trailblazing Achievement!". Facebook. U.S. Embassy Dhaka. September 9, 2024. Retrieved February 1, 2025.
- ^ a b "BUET alumnus Tauhidul joins Stanford University as assistant professor". Prothom Alo. January 2025. Retrieved February 1, 2025.
- ^ "বিশ্বখ্যাত স্ট্যানফোর্ড বিশ্ববিদ্যালয়ের শিক্ষক হলেন বুয়েটের শিক্ষার্থী তৌহিদুল". Channel 24. January 2025. Retrieved February 1, 2025.
- ^ "BUET's Tauhidul Islam Becomes Stanford Professor". Samakal. January 2025. Retrieved February 1, 2025.
- ^ https://engineering.tamu.edu/electrical/profiles/rrighetti.html
- ^ "High-performance deep neural networks for medical image analysis". National Institutes of Health. 2023. Retrieved February 1, 2025.
- ^ Islam, Md Tauhidul (2024). "Revealing hidden patterns in deep neural network feature space continuum via manifold learning". Nature Communications. doi:10.1038/s41586-024-01234-5 (inactive 5 February 2025).
{{cite journal}}: CS1 maint: DOI inactive as of February 2025 (link) - ^ Islam, Md Tauhidul (2024). "Interpretable discovery of patterns in tabular data via spatially semantic topographic maps". Nature Biomedical Engineering. doi:10.1038/s41551-024-01268-6. PMID 39407015.
- ^ Islam, Md Tauhidul (2024). "Cartography of genomic interactions enables deep analysis of single-cell expression data". Nature Communications. 14 (1): 679. doi:10.1038/s41467-023-36383-6. PMC 9908983. PMID 36755047.