Md Kamrul Islam
Lecturer in the Department of Computer Science and Data Science | AI Researcher
408/1 (Old KA 66/1), Kuratoli
Khilkhet, Dhaka 1229, Bangladesh
About Me
I am currently working as a Lecturer in the Departments of Computer Science and Data Science at American International University-Bangladesh (AIUB) .
I completed the Erasmus Mundus Joint Master's Degree in Big Data Management and Analytics (BDMA) at CentraleSupélec. During my master's, I worked at the Images, Signals and Intelligent Systems Laboratory, in close collaboration with CEA-LIST, under the supervision of Tiphaine Henry. Before that, I earned a B.Eng. in Software Engineering from Sichuan University.
My research journey began with deep learning for medical image analysis and later expanded into geometric deep learning for large-scale medical imaging. My master's research focused on using large language models (LLMs) and retrieval-augmented generation (RAG) to automate security annotation in business process models.
Building on these experiences, my current research interests focus on foundation models, information retrieval, agentic AI, and multimodal learning. I am particularly interested in developing intelligent systems that can retrieve relevant information, reason over structured knowledge, and perform complex tasks reliably.
I am from Rajshahi, Bangladesh, and have had the good fortune to live and study in several places, including France, Spain, Belgium, and China. I am an avid tennis player and enjoy travelling around the world, hiking, and trying new foods.
Always happy to connect, exchange ideas, and explore potential collaborations.
Research Highlights
My research experience includes work across language models, information retrieval, and deep learning:
-
Master’s Thesis: A Hybrid LLM-Based Framework for Automated Security Annotation Generation in Business Process Models, published at the BPM Forum of the 24th International Conference on Business Process Management (BPM 2026). Supervisor: Dr. Tiphaine Henry. The work investigates LLMs and RAG for automated security annotation of BPMN 2.0 models. [ArXiv]
-
Graduate Research Assistant: Developed unsupervised deep clustering frameworks based on group-equivariant CNNs using a large-scale chest X-ray dataset to improve feature representation and cluster separability while reducing reliance on data augmentation. See project: Unsupervised chest X-ray clustering with group-equivariant convolutions.
-
Undergraduate Thesis: Designed and trained CNN architectures for multi-class tumor classification from brain MRI scans, with a focus on preprocessing, evaluation metrics, and robustness. See project: Brain Tumor Detection and Classification Using Convolutional Neural Networks.
Experience
Download CVLecturer
AI Research Engineer Intern
Graduate Research Assistant
Big Data Engineer Intern
Teaching Experience
Fall 2026/27
CSC 4162: Programming in Python
BDS2203: Data Processing
BDS3106: Programming for Data Science
Summer 2025/26
CSC 3216: Compiler Design
CSC 4162: Programming in Python
BDS3208: Data Visualization
Spring 2025/26
CSC 2106: Data Structures
CSC 3216: Compiler Design
Additional Information and Links
I believe teaching is a continuous learning process. I welcome my students to share anonymous feedback to help me create a more welcoming and inclusive learning environment.
Service
Peer Reviewer
4th International Conference on Computing Advancements (ICCA 2026)
news
| Sep 2026 | Our paper, A Hybrid LLM-Based Framework for Automated Security Annotation Generation in Business Process Models, has been published in the Business Process Management Forum (BPM 2026), part of the 24th International Conference on Business Process Management. |
|---|---|
| Mar 2026 | Joined American International University-Bangladesh (AIUB) as a Lecturer in the Department of Computer Science. |
| Oct 2025 | Successfully completed the Erasmus Mundus Joint Master’s Degree in Big Data Management and Analytics (BDMA). |
| Jun 2024 | Presented a poster at eBISS 2024, held at the University of Padova, Italy. [Poster] |
| Sep 2023 | Research Milestone: Published paper on AI in Software Engineering Education at CSEE&T 2024 |
| Dec 2021 | Bachelor of Engineering in Software Engineering — Graduated with Distinction from Sichuan University |