I had the amazing opportunity to participate in the International Congress on Recent Trends in Computer Science (ICRCS-2024), a prestigious event that brought together researchers, academics, and professionals from around the globe. The conference served as a dynamic platform for advancing the field of computer science through knowledge sharing and collaboration. Read more

My 3ZERO Leadership Challenge Experience: Empowering Gen Z for a Better Future

3 minute read

Published: February 10, 2025

I am thrilled to share that I have successfully completed the 4th 3ZERO Leadership Challenge (3ZLC) program! This prestigious program was held on August 30, 2024, at the SocialTech Summit 2024, along with pre-online sessions.
As a recognition of my participation and successful completion of the program, I have been awarded a certificate of achievement. You can view my certificate here. Read more

Markdown Guide: Learn Markdown Syntax and Features

7 minute read

Published: January 18, 2025

Learn the essentials of Markdown with this comprehensive guide. Explore basic syntax, advanced features like tables, task lists, and footnotes, and start creating readable, well-formatted content with ease Read more

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publications

Machine Learning-Based Air Quality Forecasting in Key Urban-Industrial Zones of Bangladesh

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

Machine learning models applied to forecast air quality across key urban-industrial zones in Bangladesh. Read more

Recommended citation: M. A. H. Chowdhury, R. Chowdhury, M. A. Mutalib, R. M. Rakib, P. D. Anik, et al. (2025). "Machine Learning-Based Air Quality Forecasting in Key Urban-Industrial Zones of Bangladesh."

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

Published in International Journal of Computer Applications (IJCA), 2025

A comprehensive review on hand gesture recognition (HGR) systems, covering computer vision techniques, deep learning models, benchmark datasets, and future research directions in gesture-based human-computer interaction. Read more

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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.