Computer Science & Engineering

Md Kawsher Mahbub

Assistant Professor

Head, ICT Cell ICT Cell

Medical Image Analysis, Machine Learning, Deep Learning

Download CV

Master of Science
Highest degree: 5+
Years experience: 11
Publications: 6
Research areas

Academic Background

Master of Science in Computer Science (CS) Kent State University · 2025
Bachelor of Science in Computer Science and Engineering (CSE) Bangladesh University of Business and Technology (BUBT) · 2021

Experience

2026 – Present

Assistant Professor, Dept. of CSE, NPI University of Bangladesh
2023 – 2025

Graduate Teaching Assistant, Dept. of CS, Kent State University, USA
2021 – 2023

Lecturer, Dept. of CSE, Bangladesh University of Business and Technology (BUBT)

Publications

01
Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis Md Kawsher Mahbub, Milon Biswas, Loveleen Gaur, Fayadh Alenezi, KC Santosh · Information Sciences · 2022 View publication →
02
Explainable AI assisted heart disease diagnosis through effective feature engineering and stacked ensemble learning Partho Ghose, Khondokar Oliullah, Md Kawsher Mahbub, Milon Biswas, Kazi Nur Uddin, Hasan M Jamil · Expert Systems with Applications · 2025 View publication →
03
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach Partho Ghose, Muhaddid Alavi, Mehnaz Tabassum, Md Ashraf Uddin, Milon Biswas, Kawsher Mahbub, Loveleen Gaur, Saurav Mallik, Zhongming Zhao · Frontiers in Genetics · 2022 View publication →
04
Mobapp4infectiousdisease: Classify covid-19, pneumonia, and tuberculosis Md Kawsher Mahbub, Md Zakir Hossain Zamil, Md Abdul Mozid Miah, Partho Ghose, Milon Biswas, KC Santosh · IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) · 2022 View publication →
05
Covid-19 detection using chest x-ray images with a regnet structured deep learning model Md Kawsher Mahbub, Milon Biswas, Abdul Mozid Miah, Ahmed Shahabaz, M Shamim Kaiser · International Conference on Applied Intelligence and Informatics · 2021 View publication →
06
Best eleven forecast for bangladesh cricket team with machine learning techniques Md Kawsher Mahbub, Md Abdul Mozid Miah, Sikder Md Saiful Islam, Sadia Sorna, Sajjad Hossain, Milon Biswas · 5th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT) · 2021 View publication →
07
A survey on predicting player’s performance and team recommendation in game of cricket using machine learning Milon Biswas, Tajim Md Niamat Ullah Akhund, Md Kawsher Mahbub, Sikder Md Saiful Islam, Sadia Sorna, M Shamim Kaiser · Information and Communication Technology for Competitive Strategies (ICTCS 2020) · 2021 View publication →
08
An enhanced deep convolution neural network model to diagnose alzheimer’s disease using brain magnetic resonance imaging Milon Biswas, Md Kawsher Mahbub, Md Abdul Mozid Miah · International conference on recent trends in image processing and pattern recognition · 2021 View publication →
09
Stock market prediction: A survey and evaluation Milon Biswas, Arafat Jahan Nova, Md Kawsher Mahbub, Sudipto Chaki, Shamim Ahmed, Md Ashraful Islam · International Conference on Science & Contemporary Technologies (ICSCT) · 2021 View publication →
10
Deep neural networks for brain tumor detection from MRI images Md Kawsher Mahbub, Milon Biswas, Md Abdul Mozid Miah, M Shamim Kaiser · Third International Conference on Trends in Computational and Cognitive Engineering · 2021 View publication →
11
Autism spectrum disorder detection using transfer learning with vgg 19, inception v3 and densenet 201 Md Fazlay Rabbi, Fatema Tuz Zohra, Farhana Hossain, Naznin Nahar Akhi, Shakil Khan, Kawsher Mahbub, Milon Biswas · International Conference on Recent Trends in Image Processing and Pattern Recognition · 2022 View publication →

Awards & Honours

First Place and People’s Choice Award, International Cook-Off 2024 Kent State University · 2024
Merit-based Scholarship (5 times) Bangladesh University of Business and Technology (BUBT) · 2017-2021

Professional Memberships

Member, IEEEMember, World Research Union

Biography

Md. Kawsher Mahbub is an Assistant Professor in the Department of Computer Science and Engineering at NPI University of Bangladesh. He holds an M.S. in Computer Science from Kent State University.His research focuses on Artificial Intelligence, Computer Vision, and Medical Image Analysis, with an increasing emphasis on developing reliable and trustworthy AI systems. His current research interests include uncertainty quantification, out-of-distribution generalization, explainable AI, failure detection, and the evaluation and auditing of AI systems in high-stakes settings.His research experience spans deep learning and machine learning for medical imaging, particularly the analysis of radiological images, as well as broader research in reliable AI and computer vision. His work aims not only to improve predictive performance but also to understand when and why AI systems fail, how uncertainty can be quantified, and how model behavior can be evaluated and explained.He has published research in venues including Information Sciences, Expert Systems with Applications, IEEE CBMS, and Springer conferences. His ongoing research includes post-hoc uncertainty quantification, forensic explainability auditing, and trustworthy AI for vision systems.Beyond research, he has experience in university teaching, academic service, peer review, and research mentoring. He has served as a Program Committee Member for IEEE CBMS and ICANN and as a reviewer for journals in AI, medical imaging, and intelligent systems.He is interested in research collaborations and academic opportunities in Artificial Intelligence, Computer Vision, Trustworthy AI, Uncertainty Quantification, Explainable AI, and Medical AI.