Try "equivariant", "federated", "LiteSRNet", "SSH tunnel", "poisson"…
A highly motivated and aspiring researcher with a strong background in deep learning, with recent work centered on multimodal learning. Over the past few years, I have actively contributed to the field, publishing research articles in top-tier venues such as ACL and WACV. My primary research interests lie in vision-language models. I have also worked on domain adaptation and federated learning, and continue to explore these areas with strong interest.
Rafid Ahmed, Intesar Tahmid, Mir Sazzat Hossain, Tasnimul Hossain Tomal, Md Mahir Jawad, Anam Borhan Uddin, Md Fahim, Md Farhad Alam Bhuiyan
In Findings of the Association for Computational Linguistics: ACL 2026, pages 37362–37378, San Diego, California, United States. Association for Computational Linguistics.
Md Fahim, Md Farhan Ishmam, Mir Sazzat Hossain, M Ashraful Amin, Amin Ahsan Ali, AKM Rahman
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026, pp. 6496-6506.
Rafid Ahmed, Intesar Tahmid, Mir Sazzat Hossain, Tasnimul Hossain Tomal, Md Fahim, Md Farhad Alam Bhuiyan
Proceedings of The Second AAAI Bridge Program on AI for Medicine and Healthcare, PMLR 317:1-14, 2026.
Newaz Ben Alam, Akm Moshiur Rahman Mazumder, Mir Sazzat Hossain, Mysha Samiha, Md Alvi Noor Hossain, Md Fahim, Amin Ahsan Ali, Ashraful Islam, M Ashraful Amin, Akmmahbubur Rahman
In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, pages 2178–2194, Mumbai, India. The Asian Federation of Natural Language Processing and The Association for Computational Linguistics.
Dive into the foundational elements of Group Theory, from understanding the basic properties of groups to exploring the intricacies of subgroups and generators.
The blog post explores the Poisson distribution, a statistical distribution commonly used in various fields, including astronomy, to model random events. It explains the properties of the distribution, its real-world applications, and provides a step-by-step guide on how to visualize the Poisson distribution using Python. The post also discusses the issue of Poisson noise in astronomical observations and presents a practical example of how to calculate and deal with it using Python.
