Publications

8 papers · See Google Scholar for up-to-date metrics

Temporal Validation Changes the Apparent Public-Health Utility of Under-Five Mortality Prediction in Bangladesh: A Four-Round DHS Machine-Learning Study

Md Muhtasim Munif Fahim , M. Monimul Huq , M. Sabiruzzaman , Md. Rezaul Karim

The revised arXiv preprint is now on v2 and reflects the current BMC Public Health submission. In a four-round BDHS benchmark, validation-regime choice changed screening workload estimates more than architecture choice, making temporal splits and capacity-based metrics essential before programmatic use.

2026 submitted Read paper →

The Dependency Divide: An Interpretable Machine Learning Framework for Profiling Student Digital Satisfaction in the Bangladesh Context

Md Muhtasim Munif Fahim , Humyra Ankona , Md Monimul Huq , Md. Rezaul Karim

High digital engagement makes students more vulnerable to infrastructure failures, not less. We call this the 'Dependency Divide', and targeted reliability improvements for heavy users yield 2× the return of blanket interventions.

2026 preprint Read paper →

The Depth Delusion: Why Transformers Should Be Wider, Not Deeper

Md Muhtasim Munif Fahim , Md. Rezaul Karim

Width should grow 2.8× faster than depth in transformers, validated across 30 architectures up to 7B parameters. Past a critical depth, adding layers actively hurts, even though parameter count increases.

2026 preprint Read paper →

Drivers, Receivers, and Dynamic Linkages: The Directed Structure of SDG Interdependence, 2000–2024

Md Muhtasim Munif Fahim , Md Jahid Hasan Imran , Md. Naim Molla , Luknath Debnath , Tonmoy Shil , Ehsanul Bashar Pranto , Md Mostafizur Rahman Likhon , Md Shafin Sanyan Saad , Md. Rezaul Karim

The revised preprint maps all 17 SDGs across 114 countries and finds 84 supported directed linkages after false-discovery control. No single goal behaves as a stable universal accelerator, so portfolio policy should track time-lagged, evidence-backed linkages instead of rankings alone.

2026 preprint Read paper →

A Multi-Model Approach to English-Bangla Sentiment Classification of Government Mobile Banking App Reviews

Md. Naim Molla , Md Muhtasim Munif Fahim , Md. Binyamin , Md Jahid Hasan Imran , Tonmoy Shil , Nura Rayhan , Md Rezaul Karim

Classical models outperform fine-tuned XLM-RoBERTa on 5,652 English-Bangla government banking app reviews; aspect analysis surfaces transaction speed and UI as top pain points; 16.1pp Bangla–English accuracy gap.

2026 preprint Read paper →

Green-NAS: A Global-Scale Multi-Objective Neural Architecture Search for Robust and Efficient Edge-Native Weather Forecasting

Md Muhtasim Munif Fahim , Soyda Humyra Yesmin , Saiful Islam , Md. Palash Bin Faruque , Md. A. Salam , Md. Mahfuz Uddin , Samiul Islam , Tofayel Ahmed , Md. Binyamin , Md. Rezaul Karim

239× fewer parameters than GraphCast at near-identical accuracy. Principled multi-objective NAS can find truly deployable models, and transfer learning adds ~5% accuracy gains when historical data is scarce.

2026 published Read paper →

Predicting Early Childhood Development in Bangladesh Using Hybrid Machine Learning Model and SHAP Explainability

Saiful Islam , Md. Palash Bin Faruque , Tanjina Khan , Most. Shabrina Afroz , Tofayel Ahmed , Md Muhtasim Munif Fahim , Md. Kamruzzaman , Md. Mostafizur Rahman , Md. Abdul Khalek

Hybrid model (SVM+RF+XGBoost) predicts early childhood development in Bangladesh with 0.77 accuracy (cognitive) and 0.71 (social-emotional). SHAP reveals domain-specific drivers: books and education for cognition, caregiving and discipline for social-emotional outcomes, with urban-rural subgroup divergences informing targeted SDG 4.2 interventions.

2026 published Read paper →

Pre-trained Encoders for Global Child Development: Transfer Learning Enables Deployment in Data-Scarce Settings

Md Muhtasim Munif Fahim , Md. Rezaul Karim

Pre-trained on 357K children across 44 countries, this encoder solves the cold-start problem: with only 50 samples it beats gradient boosting by 8–12%. Zero-shot to unseen countries still reaches AUC 0.84.

2026 preprint Read paper →