Below is a list of my peer-reviewed publications and preprints across clinical AI, multimodal learning, explainable ML, low-resource NLP, HCI, and applied ML.

You can click on the keywords below to explore my research in specific areas.







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Conference Papers


  1. BRAINS: A Retrieval-Augmented System for Alzheimer’s Detection and Monitoring
    Rajan Das Gupta, Md Kishor Morol, Nafiz Fahad, Md Tanzib Hosain, S. B. Z. Choya, Md Jakir Hossen
    ICMLA 2025 — 24th International Conference on Machine Learning and Applications. First author. [PDF]

  2. HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis
    Rajan Das Gupta, Xiaobin Wu, Xun Liu, Jiaqi He
    ICICML 2025 — 4th Intl. Conf. on Image Processing, Computer Vision and Machine Learning. First author. [PDF]

  3. Locally Interpretable Surrogate-Guided Neural Framework for Multi-Class Liver Cirrhosis Staging
    Rajan Das Gupta, Xiaobin Wu, Xun Liu, Jiaqi He
    ICHIH 2025 — 4th Intl. Conf. on Health Big Data and Intelligent Healthcare. First author.

  4. Multimodal Programming in Computer Science with Interactive Assistance Powered by Large Language Model
    Rajan Das Gupta, Md. Tanzib Hosain, M. Firoz Mridha, Salah Uddin Ahmed
    HCII 2025 (Human-Computer Interaction International), pp. 59–69. First author. [PDF]

  5. ViMoNet: A Multimodal Vision–Language Framework for Human Behavior Understanding from Motion and Video
    Rajan Das Gupta, Md Yeasin Rahat, Nafiz Fahad, A. Ahmed, Liew Tze Hui
    AIBDF 2025 — 5th Intl. Symposium on Artificial Intelligence and Big Data. First author. [PDF]

  6. VLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation
    R. H. Sajib, M. K. Morol, Rajan Das Gupta, M. S. Mahmood, S. S. Das
    ICCIT 2026 — 28th International Conference on Computer and Information Technology. [PDF]

  7. From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
    Rajan Das Gupta, Mushfiqur Abir, Shanjida Akter, Jakir Hossen
    BIC 2026 — 2026 6th International Conference on Bioinformatics and Intelligent Computing. First author. [PDF]

  8. Real-Time Confidence Detection through Facial Expressions and Hand Gestures
    T. H. Sakib, S. J. Mojumder, Rajan Das Gupta, M. I. H. Showmick, M. Y. Rahat, et al.
    MECON 2025 — Multimedia University Engineering Conference. [PDF]

  9. Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
    M. Y. Rahat, Rajan Das Gupta, N. R. Rahman, S. R. Pritom, S. R. Shakir, M. I. H. Showmick, et al.
    MECON 2025 — Multimedia University Engineering Conference. [PDF]

  10. Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency
    Xun Liu, Xiaobin Wu, Jiaqi He, Rajan Das Gupta
    ICHORA 2025 — 7th Intl. Congress on Human-Computer Interaction, Optimization and Robotic Applications. [PDF]

  11. Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali
    M. A. H. Reaj, Rajan Das Gupta, J. S. Pritha, A. Al Noman, A. Ahmed, GM Mohiuddin, et al.
    ICON-SONICS 2025 — 4th Intl. Conf. on Smart Cities, Automation & Intelligent Computing Systems. [PDF]

  12. Exploring the Convergence of HCI and Evolving Technologies in Information Systems
    Rajan Das Gupta, A. Rahman, M. I. H. Showmick, M. Y. Rahat, M. J. Hossen
    6th Intl. Conf. on Computer, Information Technology and Intelligent Computing, 2025. First author. [PDF]

Book Chapters


  1. Optimization of Electric Vehicle Battery Management Systems Using Machine Learning Algorithms: Affordable and Clean Energy
    Xun Liu, Xiaobin Wu, Jiaqi He, Rajan Das Gupta
    Intl. Conf. on Innovative Computing and Communication, pp. 589–607, 2025.

Journal Papers


  1. A Deep Learning and Machine Learning Approach to Predict Neonatal Death in the Context of Sao Paulo
    M. Raihan, P. K. Saha, Rajan Das Gupta, A. Z. M. Kabir, A. A. Tamanna, et al.
    International Journal of Public Health Science (IJPHS) 2025. [PDF]

Pre-prints / Other Works


  1. REASOH: A Multi-Level Multi-Faceted Hindi Numerical Evaluation Suite for Foundation Models
    Md Tanzib Hosain, Rajan Das Gupta, Zannatul Fardaush Tripty, Md Kishor Morol
    EMNLP 2026In review.

  2. ZEnQA: A Parallel Dzongkha-English Evaluation Suite for Foundation Models on Low-resource Multilingual Reasoning
    Md Tanzib Hosain, Rajan Das Gupta, Md Kishor Morol
    EMNLP 2026In review.

  3. BanglaEcomBench: A Comprehensive Evaluation of Bangla E-commerce Knowledge in Large Language Models
    Md Tanzib Hosain, Rajan Das Gupta, Md Kishor Morol
    KDD 2026In review.

  4. Towards Conversational Assistants for Stroke Self-Care: Using Large Language Models to Generate Post-Stroke Self-Care Conversations
    Rajan Das Gupta, Md Tanzib Hosain, Md Kishor Morol
    SIGDIAL 2026In review.

  5. GANDiff FR: Hybrid GAN Diffusion Synthesis for Causal Bias Attribution in Face Recognition
    M. A. H. Reaj, Rajan Das Gupta, M. Y. Rahat, N. Fahad, M. J. Hasan, T. H. Liew
    arXiv:2508.11334 (2025). [arXiv] [PDF]