Md. Kawsher Mahbub
AI / ML Deep Learning Medical Imaging XAI Health Informatics LLMs
AVAILABLE FOR RESEARCH COLLABORATION

Md. Kawsher Mahbub

Assistant Professor, Department of Computer Science & Engineering
NPI University of Bangladesh · Formerly: Kent State University (GTA)

I build AI-driven systems at the intersection of deep learning, computer vision, and healthcare. My research focuses on explainable AI for medical image analysis, Parkinson's disease detection from motor signals, and trustworthy clinical decision support. I hold an M.S. from Kent State University and a B.Sc. from BUBT, and I am passionate about mentoring students and translating research into real-world impact.

Publications
Citations
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News

MARCH 2026 🎓 New Position
Joined NPI University of Bangladesh as Assistant Professor
Started a new role in the Department of Computer Science & Engineering at NPIUB.
MAY 2025 🏆 Graduation
Completed M.S. in Computer Science at Kent State University
Graduated with a CGPA of 3.80. Thesis focused on explainable AI for medical image analysis.
2025 📄 Paper
Paper accepted at MICCAI Workshop on Interpretable ML in Medical Imaging
Work on interpretable MRI tumor segmentation with uncertainty estimation.
2024 🎤 Talk
Invited talk: Signals to Severity — Parkinson's at IEEE CBMS 2024
Presented research on detecting Parkinson's motor impairment severity from spiral/wave drawings.
2024 🥇 Award
First Place & People's Choice — International Cook-Off, Kent State
Representing Bangladesh cultural heritage at the Kent State University International Cook-Off.
2024 📄 Reviewing
Invited peer reviewer at IEEE CBMS 2024 (37th edition)
Reviewed submissions for the IEEE International Symposium on Computer-Based Medical Systems.

Research Interests

Bridging AI and healthcare through interpretable, trustworthy, and clinically meaningful systems.

🧠

Medical Imaging & Segmentation

Deep learning for MRI/CT segmentation, detection, and reconstruction under real-world clinical constraints, with a focus on brain tumors and neurological conditions.

🔍

Explainable AI (XAI)

Human-centered explanations, uncertainty quantification, and robustness for AI-driven clinical decision support that clinicians can actually trust and use.

📊

Health Analytics

Population-level risk modeling, disease severity prediction (Parkinson's), fairness and bias analysis in health AI pipelines.

Full Research Overview →

Experience

Assistant Professor

NPI University of Bangladesh
March 2026 – Present

Graduate Teaching Assistant

Kent State University
Aug 2023 – Dec 2025

Lecturer

Bangladesh University of Business & Technology (BUBT)
Dec 2021 – Jul 2023

Education

M.S. in Computer Science

Kent State University
Aug 2023 – May 2025 · CGPA: 3.80

B.Sc. in Computer Science & Engineering

Bangladesh University of Business & Technology (BUBT)
Feb 2017 – May 2021 · CGPA: 3.84

Higher Secondary Certificate (HSC)

Govt. Debendra College
2014 – 2016 · GPA: 4.67

Selected Publications

Auto-synced from Google Scholar — showing 3 most recent.

View All Publications →

Skills

Languages
Python C / C++ C# Java
AI / ML Frameworks
PyTorch TensorFlow Keras Scikit-learn OpenCV
Data & Viz
NumPy Pandas SciPy Matplotlib
Web & Databases
HTML5 CSS3 PHP MySQL Oracle
Tools & IDEs
Jupyter PyCharm VS Code Android Studio
Other
Git LaTeX UML ER Diagrams