Hi, I'm Mahbub Islam Mahim. I am a PhD student and Research Fellow in the Trustworthy AI Lab at Wayne State University, where I research trustworthy AI for healthcare, with a focus on medical imaging. Previously, I was a Senior Software Engineer at Samsung Research, where I built knowledge graph and reasoning systems using the RDFox engine in collaboration with Oxford Semantic Technologies, UK.
I completed my BSc and MSc in Computer Science & Engineering at Jahangirnagar University, and was awarded the National Science and Technology Fellowship during my studies. In February 2025, one of my research projects at Samsung earned an A1-grade patent, which I’m especially proud of.
Published a journal article on segmentation strategies for long-code authorship detection in Volume 17 of the JU Journal of Electronics and Computer Science.
View articleStarted my PhD at Wayne State University and joined the Trustworthy AI Lab as a Research Fellow, researching trustworthy AI for healthcare and medical imaging.
Visit the labAwarded the Rumble Fellowship to pursue PhD at Wayne State University beginning in Fall 2026.
Rumble FellowshipChampion of the BLP-2025 shared task and received the Best Paper Award (ACL Anthology) for Bangla hate speech classification.
View paperRecognized as Icon Engineer at Samsung for outstanding performance (Jul-Aug 2025).
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Pursuing a PhD while conducting research in the Trustworthy AI Lab, focusing on reliable and interpretable AI for healthcare and medical imaging. Advised by Prof. Dongxiao Zhu.
Led the development of a key module within Samsung's knowledge graph platform in collaboration with Oxford Semantic Technologies, leveraging RDFox's reasoning engine to power enterprise AI applications.
Built semantic knowledge graph tools and reasoning systems as part of Samsung's integrated AI ecosystem, contributing to the development of an A1-grade patented technology.
Samsung ResearchA1 grade (Feb 2025)Filing in progress
A novel method that combines fields of view from multiple lenses to improve wide-angle image quality. Graded A1 by Samsung Research.
JU Journal of Electronics and Computer Science, Vol. 17, 2026Journal article
Compares truncation, multi-view cropping, and sliding-window classification for authorship detection in long source code. The study shows that broader context coverage improves performance while multi-view classification offers a strong efficiency trade-off.
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BLP-2025 Workshop (ACL Anthology)Conference paper
Champion of the BLP-2025 shared task; received the Best Paper Award. Two-stage cascaded model with k-fold ensembling for multi-label Bangla hate speech.
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arXiv:2504.09455, April 2025Preprint
GAN-based fusion of wide- and narrow-angle views with attention to recover detail in wide-angle images.
View paperCompetitive programming background — ICPC, NCPC, and major online judges during university.
Work, travel, and moments that shaped my journey.
April 15, 2025
Conducted a session on patent strategy in front of engineers at SRBD, specifically sharing my A1 patent journey experience. Demonstrated the complete process from ideation to patent filing, including best practices for intellectual property protection and strategies for successful patent applications.
Have a question, collaboration idea, or just want to connect? Send me a message and I'll get back to you.
Prefer email? mahbubislammahim@gmail.com