collaborators

7 papers

cs.LG2026

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 +1

Background: Under-five mortality in Bangladesh remains uneven despite national progress. DHS-based prediction models may guide targeted follow-up, but only if validation reflects f…

stat.AP2026

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

Md Muhtasim Munif Fahim, Md Jahid Hasan Imran, Md. Naim Molla +6

Governments with limited fiscal and administrative capacity need to know which Sustainable Development Goals (SDGs) propagate progress through the goal system and how quickly. We m…

cs.CL2026

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

Md. Naim Molla, Md Muhtasim Munif Fahim, Md. Binyamin +4

For millions of users in developing economies who depend on mobile banking as their primary gateway to financial services, app quality directly shapes financial access. The study a…

cs.LG2026

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 +7

We introduce Green-NAS, a multi-objective NAS (neural architecture search) framework designed for low-resource environments using weather forecasting as a case study. By adhering t…

cs.LG2026

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

Md Muhtasim Munif Fahim, Md Rezaul Karim

Neural scaling laws describe how language model loss decreases with parameters and data, but treat architecture as interchangeable--a billion parameters could arise from a shallow-…

cs.LG2026

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

Md Muhtasim Munif Fahim, Md Rezaul Karim

A large number of children experience preventable developmental delays each year, yet the deployment of machine learning in new countries has been stymied by a data bottleneck: rel…