Subhey Sadi Rahman
I have completed my undergraduate degree in Computer Science and Engineering from United International University (UIU), Bangladesh, and I am currently affiliated with the Applied Artificial Intelligence & Intelligent Systems (AIINS) Lab. My undergraduate thesis, supervised by Prof. Swakkhar Shatabda, focused on bias in multilingual Large Language Models (LLMs). My research interests include medical imaging, artificial intelligence in healthcare, natural language processing, and LLMs. So far, I have published six research works and continue to contribute to ongoing research in these domains. During my undergraduate studies, I also served as a Grader and Undergraduate Teaching Assistant.
Research direction
Natural Language Processing
Machine Translation
Healthcare AI
Selected publications
My Works!
Abstract
Evaluates translation quality and fairness for leading large language models across 24 language pairs, comparing behavior across language families and domains to reveal where multilingual systems translate fluently but fail to represent linguistic groups evenly.
Open preprintAbstract
Surveys large language models as autonomous agents, covering planning, tool use, memory, reasoning, task execution, and evaluation. The review maps agentic LLM research across high-impact venues and identifies open issues in reliability and control.
Abstract
Reviews factuality evaluation, hallucination detection, fact-checking benchmarks, retrieval augmentation, prompting, and mitigation strategies for large language models, with emphasis on trustworthy generation and verifiable outputs.
Open preprintAbstract
Combines DaTscan radiomics and clinical features with machine learning to quantify Parkinson disease progression. The work builds a structured radiomics-clinical dataset and studies feature selection for progression modeling.
Abstract
Presents a dual-prompt attention multi-task 3D network for lung CT analysis, jointly addressing nodule segmentation and malignancy prediction to support clinically relevant pulmonary imaging workflows.
Abstract
Benchmarks large language models across Bangla dialect translation with lexical and semantic metrics, prioritizing meaning preservation over surface morphology in a low-resource translation setting.
Experience
- Worked with medical imaging datasets for diagnostic deep learning tasks.
- Preprocessed ultrasound, MRI, and related clinical imaging data.
- Annotated images and prepared cleaner datasets for model training.
- Investigated pulmonary and cardiovascular disease pathologies.
- Applied computer vision methods to healthcare-focused research questions.
- Supported research workflows around data preparation, analysis, and reporting.
- Prepared study guides, exam materials, and instructional resources.
- Evaluated assignments and examinations with consistent grading support.
- Mentored students through academic counseling and course support.
- Graded assignments and class tests for computer science courses.
- Worked with faculty to prepare grade sheets and maintain academic records.
Education & tools
Jun 2021 - Jul 2025
B.Sc. in Computer Science and Engineering
United International University
CGPA: 3.8 / 4.0 (Magna Cum Laude)
- Python
- JavaScript
- Java
- C/C++
- PyTorch
- OpenCV
- scikit-learn
- Hugging Face
- Roboflow
- 3D Slicer
- Docker
- Git
Contact