Computer Science and Engineering

Mr. Md. Rakibul Islam

Research Interests

• Natural Language Processing
• AI Alignment
• Human-AI Interaction
• Vision-Language Models
• Deep Learning

Educational Background

• Master of Science (MSc), (Computer Science and Engineering), BRAC University
• Bachelor of Science (BSc), (Computer Science and Engineering), Ahsanullah University of Science and Technology

Honors and Achievements

• Dean’s List of Honor (Based on B.Sc. result), Ahsanullah University of Science and Technology, 2023
• Half Free Tuition Fee Waiver based on academic result in 5 consecutive semesters, Ahsanullah University of Science and Technology, 2022
• 1st Runner-up in Intra-AUST Programming Contest, Ahsanullah University of Science and Technology, 2019

Publications

1. A regression-based multi-task machine and deep learning framework for explainable AI driven birth weight prediction in maternal and neonatal care, Discover Artificial Intelligence, 2026, Springer International Publishing Cham. URL
2. Privacy-Preserving Chest X-Ray Report Generation via Multimodal Federated Learning with ViT and GPT2, Biomedical Materials & Devices, 2025, Springer Nature. URL
3. Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2, Engineering Reports, 2025, Wiley Online Library. URL

1. Detecting AI-Generated Paraphrases in Bengali: A Comparative Study of Zero-Shot and Fine-Tuned Transformers, 28th International Conference on Computer and Information Technology (ICCIT), 2025. URL
2. Zero-Shot to Zero-Lies: Detecting Bengali Deepfake Audio Through Transfer Learning, 28th International Conference on Computer and Information Technology (ICCIT), 2025. URL
3. BeHGAN: Bengali Handwritten Word Generation from Plain Text Using Generative Adversarial Networks, 28th International Conference on Computer and Information Technology (ICCIT), 2025. URL
4. FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detection, 28th International Conference on Computer and Information Technology (ICCIT), 2025. URL
5. Advancing AI-Generated Image Detection: Enhanced Accuracy through CNN and Vision Transformer Models with Explainable AI Insights, 26th International Conference on Computer and Information Technology (ICCIT), 2023. URL