Research profile

Researching dependable AI for Bengali and low-resource settings.

I am Khan Raiyan Ibne Reza, a computer science graduate from North South University in Dhaka. My work connects benchmark design with practical AI systems for language, retrieval, and multimodal evaluation.

Research approach

I build benchmarks and evaluation systems that make model behavior easier to inspect. Recent work asks whether retrieval systems find the evidence a Bengali user needs, whether multimodal models attend to diagrams and documents, and whether useful tutoring behavior can transfer to smaller offline models.

My undergraduate thesis focused on trustworthy AI and retrieval-augmented generation for low-resource agricultural intelligence. Across projects, I aim to connect each evaluation result to concrete system design choices and reusable public resources.

Khan Raiyan Ibne Reza at North South University
Dhaka, Bangladesh · North South University

Current research themes

Questions I work on

01

Bengali and low-resource NLP

Building datasets and evaluation methods for language technologies where data, tools, and benchmarks remain limited.

02

Retrieval reliability and evidence grounding

Studying how retrieval choices, query language, and record structure affect whether answers stay grounded in evidence.

03

Multimodal evaluation and efficient models

Testing how models use visual and document evidence, and adapting compact models for educational use with limited connectivity.

Academic experience

Research Assistant

Jan 2026 – Sep 2026

QuICK Research Group · North South University

Contributed to Bengali benchmark, dataset, and AI-system development in retrieval evaluation, evidence grounding, multimodal evaluation, and low-resource language technologies.

Teaching Assistant

May 2025 – Jun 2026

North South University

Assisted faculty with grade preparation and computing- and technology-related academic tasks.

Education

B.Sc. in Computer Science and Engineering

North South University · Dhaka, Bangladesh

May 2022 – Jun 2026 · CGPA 3.62 / 4.00

Thesis: Trustworthy AI and Retrieval-Augmented Generation for Low-Resource Agricultural Intelligence.

Languages

Bengali
Native
English
C1 listening · B2 reading, speaking, and writing
German
A1–A2

Selected awards

2nd Runner-Up

ECE Capstone Design Showcase, North South University · 2026

200+ teams

Finalist

SOLVIO AI Hackathon · 2025

538 teams · 60+ institutions

Top 10

InnovativeX Hackathon, Bangladesh University of Business and Technology · 2025

Research, papers, and open resources

Browse the publication list, benchmarks, datasets, and selected software projects.