Our paper, "BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language", has been accepted for publication in the International Journal of Disaster Risk Reduction [Q1 Journal].

Reviewed six journal papers on social media analysis and AI in healthcare, gaining deeper insights into research quality, emerging trends, and best practices.

Promoted to Senior Application Developer at Dexian (Bangladesh) Limited.

Our research work titled "Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering" has been published in Mathematics (MDPI), Vol. 13, Issue 14, Article 2322 [Q1 Journal].

One of our research works, "MultiBanFakeDetect: Integrating Advanced Fusion Techniques for Multimodal Detection of Bangla Fake News in Under-Resourced Contexts", has been published in the International Journal of Information Management Data Insights, Vol. 5, Issue 2 [Q1 Journal].

Our conference paper, "Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language" , has been published in the ICITA 2024 Proceedings [Springer].

One of our studies, "SentimentFormer: A Transformer-Based Multimodal Fusion Framework for Enhanced Sentiment Analysis of Memes in Under-Resourced Bangla Language", has been published in Electronics (MDPI), Vol. 14(4), 799 [Q2 Journal].

Reviewer for the Journal of Medical Internet Research (JMIR) [Q1 Journal].

One of our papers, "Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis", has been published in Mathematics (MDPI), Vol 12, Issue 23, Article 3687 [Q1 Journal].

Attended ICITA 2024 in Sydney, Australia.

Attended ICCCNet 2024 in Manchester, UK.

Participated in IEEE TENSYMP 2024 in New Delhi (TENSYMP).

Our research article, "Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language", has been accepted for presentation at the 18th International Conference on Information Technology and Applications (ICITA 2024) [Springer].

One of our research works, "Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis", has been accepted at the The IEEE Region 10 Symposium (TENSYMP 2024) [IEEE].

Started working as a Remote Research Assistant under the funded projects by the National Research Foundation of Korea and the National Institute of Health, South Korea.

Two of our papers, "Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study" and "Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification", have been accepted at the 4th International Conference on Computing and Communication Networks (ICCCNet-2024) [Springer].

Joined as Application Developer at Dexian (Bangladesh) Limited.

Graduated from Ahsanullah University of Science and Technology.

Defended thesis on "Generative Adversarial Networks for Crop Disease: A Case Study with Potato Disease Classification and Instance Segmentation".

Secured 7^th place at DL Sprint 2.0 - BUET CSE Fest.

Participated in DL Sprint 2.0 - BUET CSE Fest.

Won 1^st place at Research Symposium 2023, AUST.

Presented research at Research Symposium 2023, AUST.

Paper published at IEEE CCWC 2023.

Attended IEEE CCWC 2023 (Virtual), Las Vegas, NV.

Our research paper, "Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework" , has been accepted at the IEEE Annual Computing and Communication Workshop and Conference (CCWC 2023) [IEEE].