HEALTH INFORMATICS · INTELLIGENT SYSTEMS · BACKEND ENGINEERING

I build reliable intelligent systems for healthcare and complex infrastructure.

I’m Fateha Hossain, a final-year CSE student and Research Assistant working in health informatics, explainable machine learning and backend engineering.

Portrait of Fateha Hossain

Health Informatics

Medical imaging and clinical-data research

Trustworthy ML

Explainability and reproducible evaluation

Backend Systems

APIs, data pipelines and deployed applications

01 / Selected Work

Selected Work

View all projects (7)
NETWORK INTELLIGENCEResearch prototype
ResiliNet Interface Screenshot

An explainable SDN research prototype combining congestion-risk forecasting, policy-aware routing and reproducible Mininet experiments.

PythonLightGBMMininetFastAPI
PREDICTIVE INFRASTRUCTUREHackathon prototype
ComputePulse Dashboard Screenshot

A GPU-cluster monitoring prototype combining simulated telemetry, explainable risk scoring and operational alerts.

FastAPILightGBMReactSHAP
02 / Research Snapshot

Research Direction

View all research →
Medical AI & Vision Models

Trustworthy Medical AI

My current work focuses on trustworthy medical AI, particularly parameter-efficient vision models and explainable analysis of panoramic radiographs. My earlier research includes low-resource Bangla NLP.

PMAM Journal Study

Manuscript in preparation

Pediatric morphology alignment module for explainable, uncertainty-aware multi-disease detection in panoramic radiographs.

Undergraduate Thesis

Ongoing

Parameter-efficient adaptation (LoRA, BitFit, VPT) of Vision Foundation Models for dental radiograph classification.

Health Informatics Conference Study

Under review

Benchmarked and explainable machine learning approach to tri-class hematological classification for compensated microcytosis.

03 / Experience

Experience

More Experience & Bio

Research Assistant

Health Informatics Research Lab

Apr 2026 – Present

Contributing to healthcare-oriented machine-learning experiments, reproducible evaluation, and research manuscript preparation.

Backend Developer Intern

CSE-Tech

Mar 2026 – Present

Developing backend features and database-backed APIs across Spring Boot, Laravel, and FastAPI applications.

04 / Toolkit

Core Toolkit

Python
PyTorch
FastAPI
Spring Boot
Laravel
React / TypeScript
PostgreSQL
Docker
Collaboration & Inquiries

Interested in my research or engineering work?

I’m open to research collaboration, graduate-study opportunities, and conversations about health informatics, explainable machine learning, and backend software engineering.

Dhaka, Bangladesh · Available by email and LinkedIn