Research Interest

My broad research interests lie in the fields of Trustworthy and Secure AI, Natural Language Processing, and Computer Vision. 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.

Research and Publications

You can also find my articles on my Google Scholar profile.

(Under Review) Towards Developing a DDPM-Based Adversarial Purification Method with Noise-Guided Timestep Selection

IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2025

Authors: Md. Sajid Alam Chowdhury, Md. Khairul Islam, Kaushik Deb.

(Under Review) A Unified Adversarial Defense Framework: Diffusion-Driven Purification with Adaptive Timestep Selection and Detection via Reconstruction Consistency Features

IET Image Processing, 2025

Authors: Md. Sajid Alam Chowdhury, Md. Khairul Islam, Kaushik Deb.

Fired_from_NLP@DravidianLangTech 2025: A Multimodal Approach for Detecting Misogynistic Content in Tamil and Malayalam Memes

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/

Fired_from_NLP at AraFinNLP 2024: Dual-Phase-BERT - A Fine-Tuned Transformer-Based Model for Multi-Dialect Intent Detection in The Financial Domain for The Arabic Language

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/

Fired_from_NLP at CheckThat! 2024: Estimating the Check-Worthiness of Tweets Using a Fine-tuned Transformer-based Approach

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

Fired_from_NLP at SemEval-2024 Task 1: Towards Developing Semantic Textual Relatedness Predictor - A Transformer-based Approach

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/