Qualification

Pursuing Doctor of Philosophy (PhD) in Information Science
College of Computing and Informatics, Drexel University

M.Sc. In Computer Science and Engineering 
Chittagong University of Engineering & Technology

B.Sc. In Computer Science and Engineering 
Chittagong University of Engineering & Technology

Experience

Research

• “Decision Maker Alignment: Benchmark Datasets”, Human Alignment in AI Decision-Making Systems (HAADMS). Proceedings of the IEEE Conference on Artificial Intelligence (CAI), 2025. (1st author)

• “How Well Can Vison-Language Models Understand Humans' Intention? An Open-ended Theory of Mind Question Evaluation Benchmark”, Theory of Mind (ToM) Workshop, AAAI, 2025. (co-author)

• “Role-Based Ethics for Decision-Maker Alignment”, Human Alignment in AI Decision-Making Systems (HAADMS). Proceedings of the IEEE Conference on Artificial Intelligence (CAI), 2025. (co-author)

• “Counterfactual-Based Synthetic Case Generation”, in International Conference on Case-Based Reasoning (ICCBR), 2024. (1st author)

• “The impact of an XAI-augmented approach on binary classification with scarce data”, IJCAI Workshop on Explainable Artificial Intelligence (XAI), 2024. (co-author)

• “Aligning to human decision-makers in military medical triage”, in International Conference on Case-Based Reasoning (ICCBR), 2024. (co-author)

• “Algorithmic Decision-Making in Difficult Scenarios”, in AAAI Spring Symposium on Human Like Learning, 2024. (co-author)

• “COVID-19 Fake News Detection using Deep Learning Model”, Annals of Data Science, Springer, 2024. (co-author)

• “Patient questionnaires based Parkinson’s disease classification using artificial neural network”, Annals of Data Science, Springer, 2023. (co-author)

• “TF-IDF feature-based spam filtering of Mobile SMS using a machine learning approach”, Applied Intelligence for Industry 4.0, 2023. (co-author)

• “A Transfer Learning Approach to Recognize Pedestrian Attributes”, Applied Intelligence for Industry 4.0, 2023. (co-author)

• “Machine Learning-Based Tomato Leaf Disease Diagnosis Using Radiomics Features”, in Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering (TCCE), 2023. (co-author)

• “Categorization of actions in soccer videos using a combination of transfer learning and Gated Recurrent Unit”, ICT Express, Elsevier, 2022. (1st author)

• “Sequence recognition of indoor tennis actions using transfer learning and long short-term memory”, in Frontiers of Computer Vision: 28th International Workshop, IW-FCV, 2022. (1st author)

• “Fine-Grained Soccer Actions Classification Using Deep Neural Network”, in 15th International Conference on Human System Interaction (HSI), 2022. (1st author)

• “Classifying sentiments from movie reviews using deep neural networks”, in International Conference on Intelligent Computing & Optimization (ICO), 2022. (co-author)

• “Detecting spam SMS using self attention mechanism”, in International Conference on Intelligent Computing & Optimization (ICO), 2022. (co-author)

• “Trash image classification using transfer learning based deep neural network”, in International Conference on Intelligent Computing & Optimization (ICO), 2022. (co-author)

• “Tomato leaf disease recognition using depthwise separable convolution”, in International Conference on Intelligent Computing & Optimization (ICO), 2022. (co-author)

• “Cricshotclassify: an approach to classifying batting shots from cricket videos using a convolutional neural network and gated recurrent unit”, Sensors, MDPI, 2021. (1st author)

• “Spam filtering of mobile SMS using CNN–LSTM based deep learning model”, in International Conference on Hybrid Intelligent Systems (HIS), 2021. (co-author)

Area of Interests

• Multimodal Large Language Model (MLLM)

• Computer Vision

• eXplainable AI (XAI)