Hanif Rahman

Independent researcher

Hanif Rahman

Computational work on Pashto speech and language, kidney disease, and patient education.

I build datasets, benchmarks, and readable explanations across low-resource language technology and kidney disease. My recent work focuses on Pashto speech recognition, script failure in multilingual ASR, and public-facing IgA nephropathy education.

Start here

The site is organised around three common reasons people arrive: research, patient education, and collaboration.

Selected work

Recent papers and public resources from the Google Scholar profile, with direct links to arXiv, code, data, and patient education.

Paper · arXiv:2604.04598
2026

Benchmarking Multilingual Speech Models on Pashto: Zero-Shot ASR, Script Failure, and Cross-Domain Evaluation

A reproducible public benchmark for Pashto automatic speech recognition across Whisper, MMS, SeamlessM4T, and OmniASR models. The study separates word error rate from script fidelity and documents cross-domain failure modes in read-speech datasets.

Read paper
Paper · arXiv:2604.08786
2026

Script collapse in multilingual ASR: A reference-free metric and 100-pair benchmark

Introduces Script Fidelity Rate, a reference-free metric for detecting speech recognition output in the wrong writing system. The benchmark covers ten languages, six scripts, and ten multilingual speech models.

Read paper
Paper · arXiv:2603.16354
2026

PashtoCorp: A 1.25-Billion-Word Corpus, Evaluation Suite, and Reproducible Pipeline for Low-Resource Language Development

Presents a 1.25-billion-word Pashto corpus, evaluation suite, and reproducible pipeline. The release includes data, model training, and code for low-resource NLP experiments.

Read paper
Book
2024

IgA Nephropathy: A Patient and Family Guide

A comprehensive guide to IgA Nephropathy for patients, families, and anyone wanting to understand this common kidney disease. Covers diagnosis, progression, treatment options, and what to expect living with the condition.

Get the book

Latest writing

Articles for patients, researchers, and readers who want careful explanations without academic fog.

RSS