Research

I am passionate about exploring the applications of Machine and Deep Learning in:

✔️ Natural Language Processing, Natural Language Generation
✔️ NLP Applications, Low Resource Language
✔️ Question Answering, Resources and Evaluation, Summarization
✔️ Interpretability, Interactivity and Analysis of Models for NLP
✔️ Software Engineering
✔️ Representation Learning, Contrastive Learning
✔️ Medical Imaging: Histopathology, Neurology, Oncology

Ongoing Works

🔨 Bengali Fake Reviews: A Benchmark Dataset and Detection System
🔨 Explainable AI for Medical Imaging: A Deep Learning Approach towards Classification of Cervical Cancer
🔨 Skin Cancer detection using Explainable AI and Deep Learning
🔨 An Explainable AI based Oral Squamous Cell Carcinoma Detection System from Histopathological Images using Deep Learning
🔨 PhyloBERT: Investigating Effectiveness of Transformer-based BERT variant Models on Distance-based Phylogenetic Tree Construction

Submitted

📝 Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models [Multimedia Tools and Applications]

Under Review

⏳ Bangla Key2Text: Text Generation from Keywords in Bengali [EMNLP 2023]
⏳ Contrastive Learning for API Aspect Analysis [ASE 2023]
⏳ Towards Automated Recipe Genre Classification using Semi-Supervised Learning [Knowledge and Information Systems]
⏳ Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance [Multimedia Tools and Applications]
⏳ Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach [BIM 2023]
⏳ Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME [BIM 2023]
⏳ Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning [BIM 2023]