Sabbir Hossen

B.Sc in Computer Science and Engineering,
Bangladesh University

Research Assistant,
National Institute of Textile Engineering and Research

Address: 189, College Road, Pakundia, Kishoreganj-2326, Dhaka, Bangladesh

About Me

I am a recent Computer Science graduate from Bangladesh University with a strong foundation in Machine Learning, and I am currently working as a Research Assistant at at National Institute of Textile Engineering and Research . My research experience primarily focuses on Natural Language Processing and Computer Vision, through which I have developed both analytical and creative approaches to problem-solving. These experiences have also led me to develop a strong interest in Large Language Models and Vision-Language Models, particularly in exploring efficient approaches for low-resource and resource-constrained settings.

My long-term goal is to build computational systems with a broader and more coherent understanding, where vision models, language models, and generative frameworks work in concert rather than in isolation. I aim to develop techniques that not only interpret images and text but also ground their reasoning in real-world structure across diverse application domains, with an emphasis on efficiency, resource constraints, and low-resource settings. I am committed to conducting rigorous, forward-looking research that contributes meaningfully to this direction. For more information about my research background, ongoing work, and academic experience related to these interests, please take a look at my background, research and publications sections.

If you are interested in research collaboration, have questions about my work, or would like to discuss a potential research opportunity, please feel free to reach out to me at sabbir.hossen@bu.edu.bd . You can also connect with me through my social profiles to follow my latest research activities, publications, projects, and other academic updates.

Research Interests

Natural Language Processing

Large Language Models (LLMs)
Information Extraction & Understanding
Multilingual NLP

Computer Vision

Visual representation learning
Deepfake & Multimedia Forensics
AI for healthcare & medical imaging

Multimodal AI

Vision-Language Models (VLMs)
Multimodal representation learning
Multimodal for Healthcare & GenAI

Efficient AI

Efficient deep learning architectures
Low Resource Languages Processing
AI for low-resource Settings

Latest Updates & News

Mar 2026
Our Paper “Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis" has been accepted at 9th International Conference on Smart Computing and Systems Engineering (SCSE).
Dec 2025
Our Paper “TransCNN: A Hybrid CNN-Transformer Synergy for Reliable Deepfake Forensics" has been accepted at 28th International Conference on Computer and Information Technology (ICCIT).
Oct 2025
Our Paper "A Sophisticated Feature Vectorization-Based Stacked Machine Learning Approach for Fake News Detection in Bangla and English" has been accepted at Social Network Analysis and Mining [Q1].
Sep 2025
Appointed as a Research Assistant at National Institute of Textile Engineering and Research.
Jul 2025
New Preprint "An Efficient Deep Learning Framework for Brain Stroke Diagnosis Using Computed Tomography Images" is out. [Click Here]
Jun 2025
Our Paper "Jellyfish Species Identification: A CNN Based Artificial Neural Network Approach" has been accepted at 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN).
May 2025
Our Paper "StackTrace-AI: Identifying Generative AI Text Origins using Ensemble Learning" has been accepted at 2nd International Conference on Computing, Applications and Systems (COMPAS).
May 2025
Our Paper "Optimized Hybrid Cascaded Approach for Accurate Oral Cancer Detection in Histopathology Images Using Deep CNNs" has been accepted at IEEE 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM).
Apr 2025
Our Paper "Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach" has been accepted at IEEE 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
Jan 2025
Our Paper "A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifiers to Identify Strawberry Leaf Diseases" has been accepted at IEEE 4th International Conference on Electrical, Computer and Communication Engineering (ECCE).
Nov 2024
Our Paper "An Explainable AI Driven Machine Learning Approach for Maternal Health Risk Analysis." has been accepted at IEEE 27th International Conference on Computer and Information Technology (ICCIT).
Jun 2024
Successfully defended Bachelor's thesis, fulfilling all requirements for the B.Sc. degree in Computer Science.
May 2023
Appointed as an Undergraduate Research Assistant at NextGen AI Lab, Bangladesh University.