Research Interest
My broad research interests lie in the fields of Computer Vision and Natural Language Processing. Some of the specific areas I am interested include:
- Adversarial Machine Learning and Anomaly Detection – studying adversarial attacks and defenses to improve the robustness and security of machine learning models.
- Multilingual and Low-Resource NLP – developing methods to efficiently utilize resources for low- and zero-resource languages.
- Multimodal Learning – integrating text, image, audio, and video modalities for improved representation and understanding.
- Generative Models – applying models such as GANs and diffusion models for intra-modal and cross-modal tasks, including high-quality image reconstruction and synthesis.
Publications
Published in Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, 2025
Authors: Md. Sajid Alam Chowdhury, Mostak Chowdhury, Anik Shanto, and Hasan Murad.
Paper URL: https://aclanthology.org/2025.dravidianlangtech-1.81/
Published in Proceedings of The Second Arabic Natural Language Processing Conference, 2024
Authors: Md. Sajid Alam Chowdhury, Mostak Chowdhury, Anik Shanto, Hasan Murad, and Udoy Das.
Paper URL: https://aclanthology.org/2024.arabicnlp-1.36/
Published in CLEF 2024: Conference and Labs of the Evaluation Forum, 2024
Authors: Md. Sajid Alam Chowdhury, Anik Shanto, Mostak Chowdhury, Hasan Murad, and Udoy Das.
Paper URL: https://ceur-ws.org/Vol-3740/paper-34.pdf
Published in Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
Authors: Anik Shanto, Md. Sajid Alam Chowdhury, Mostak Chowdhury, Udoy Das, and Hasan Murad.
Paper URL: https://aclanthology.org/2024.semeval-1.123/