Md Abdul Mutalib

Md Abdul Mutalib

AI Enthusiast | Machine Learning & Deep Learning Researcher | Passionate about Medical Diagnosis & Computer Vision Projects

Posts by Collection

portfolio

publications

Assessment and Prediction of Organic Pollution Index Using Deep Learning Models: A Case Study of Major Lakes in Dhaka City, Bangladesh

Published in Preprint / Conference (venue to be confirmed), 2025

Deep learning models applied to assess and predict organic pollution indices for major lakes in Dhaka City, Bangladesh. Read more

Recommended citation: M. A. Mutalib, M. A. H. Chowdhury, R. M. Rakib, R. Chowdhury, S. I. Tanvir, et al. (2025). "Assessment and Prediction of Organic Pollution Index Using Deep Learning Models: A Case Study of Major Lakes in Dhaka City, Bangladesh."

Hand Gesture Recognition Systems: A Review of Methods, Datasets, and Emerging Trends

Published in International Journal of Computer Applications (IJCA), Vol. 187, No. 2, 2025

A comprehensive review of Hand Gesture Recognition (HGR) systems covering classical computer vision methods, deep learning architectures, benchmark datasets, and open challenges, across 250+ surveyed papers. Read more

Recommended citation: M. S. Sarowar, N. E. J. Farjana, M. A. I. Khan, M. A. Mutalib, S. Islam, and M. Islam. (2025). "Hand Gesture Recognition Systems: A Review of Methods, Datasets, and Emerging Trends." International Journal of Computer Applications, 187(2), 1-33. DOI: 10.5120/ijca2025924776
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Two-Stage Noise-Reduced Pneumonia Detection in Chest X-Ray Images Using Denoising Autoencoder–CNN Integration

Published in 2026 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2026

A two-stage Denoising Autoencoder–CNN framework for pneumonia detection from chest X-rays, achieving 92.9% accuracy, 94.6% F1-score, and 98.3% ROC-AUC. Read more

Recommended citation: M. A. Mutalib, K. Das, M. Hossain, S. Hussain, A. D. Nath, et al. (2026). "Two-Stage Noise-Reduced Pneumonia Detection in Chest X-Ray Images Using Denoising Autoencoder–CNN Integration." IEEE QPAIN 2026.
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Hybrid Deep Learning and Radiomic Shape Feature Fusion for Automated Brain Tumor Classification from MRI Images

Published in 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2026

A hybrid approach fusing deep learning features with radiomic shape descriptors for automated multi-class brain tumor classification from MRI scans. Read more

Recommended citation: M. R. Islam, A. Al Mobassir, M. A. Mutalib, A. Haque, M. A. A. Moududi, R. Islam, et al. (2026). "Hybrid Deep Learning and Radiomic Shape Feature Fusion for Automated Brain Tumor Classification from MRI Images." IEEE QPAIN 2026.

A Semi-Supervised and Explainable Stacked Ensemble Model for Multi-Class Haematological Disorder Classification Using Complete Blood Count Data

Published in International Conference on Electrical, Computer and Communication Engineering, 2026

A semi-supervised stacked ensemble model with explainability components for classifying multiple haematological disorders from Complete Blood Count (CBC) data. Read more

Recommended citation: K. Das, N. Amina, M. A. Mutalib, and N. Chowdhury. (2026). "A Semi-Supervised and Explainable Stacked Ensemble Model for Multi-Class Haematological Disorder Classification Using Complete Blood Count Data." International Conference on Electrical, Computer and Communication Engineering.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post. Read more

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post. Read more