Publication

Published Articles:

1. Syfullah, M. K., Amin, R., Manirujjaman, M., Hasan, M. M., Abid, M. R., & Ahmed, S. (2024, September). Detecting and understanding cyberbullying in Bengali: An explainable AI approach. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1–7). IEEE. [Link]

2.  Syfullah, M. K., Ali, M. S., Oishy, A. M., & Hossain, M. S. (2024, September). Towards early dengue diagnosis in Bangladesh: A non-invasive prediction model based on symptoms and local trends. In 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) (pp. 833–838). IEEE. [Link]

3.  Syfullah, M. K., Ali, M. S., & Hossain, M. M. (2024). Federated learning for autism spectrum disorder detection. Paper accepted for presentation at the International Conference on Machine Intelligence and Emerging Technologies (MIET 2024), November 8–9, 2024. [Link] 

4.  Amin, R., Tusher, M. M. R., Syfullah, M. K., Alam, S. J., Manirujjaman, M., & Faisal, F. (2024, September). Enhancing Bangla Sign Language recognition with Max Voting Ensemble. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1–6). IEEE. [Link]

5.  Hossain, M. N., Karmakar, D., Nandi, P., Osama, M., & Syfullah, M. K. (2024). A deep learning approach for multiclass domain-specific question classification in computer science for Bangla language. In Proceedings of the 4th International Conference on Electrical, Computer and Communication Engineering (ECCE). [Link]

6.  M. A. Kadir, B. Nassar, S. M. J. Alam, S. Ahmed, and Syfullah M. K., "Car Price Prediction: A Comparative Study of Machine Learning and Deep Learning Approaches," In Proceedings of the 4th International Conference on Electrical, Computer and Communication Engineering (ECCE). [Link]

Under Publication:

1. Machine Learning-Based Feature Selection for Chronic Kidney Disease Prediction in Type-1 and Type-2 Diabetes Patients (Under review)

2.  BnLiteBait: An Attention-Based Lightweight Model for Clickbait Detection in Bengali Content (Under review)

3.  Lightweight and Interpretable Deep Learning for Automated Waste Classification (Under Review)

4.  Mental Health Recognition in Bengali Text: An Optimized Transformer Model for Imbalanced Classification (Accepted on an International Conference) [Preprint]

5.  Automated Depression Detection Among Bangladeshi University Students: A Machine Learning Approach with Cultural Adaptation (Under Review- On an International Conference)

Under Preparations:

1.  A lightweight attention based deep learning model for sign language classification (Under Preparation)

2.  Clickbait News Detection: A Comparison of Traditional Transformer-Based Models and LLM-Based Models (Under Preparation)

3.  Automated Question Answering for Computer Science domain (Under Preparation)

Domains of Completed Works:

• Natural Language Processing (NLP):
  Text classification, sentiment analysis, text generation, large language models (LLMs), multilingual and low-resource NLP, multimodal models.
  
  

• Computer Vision:
  Digital image processing, image classification, video data analysis.
  
  

• Machine Learning & Deep Learning:
  Categorical data classification, time series analysis, regression models.

• Software Engineering, Android Development and Game Development with Unity

Android app development, C#, Java