Hafsa Binte Kibria

হাফসা বিনতে কিবরিয়া


  •  Room No:  3rd Floor, ECE Building, RUET
  •  Phone:   880-1743289800
  •  Email:
Field of Research
  •  Machine Learning
  •  Artificial Intelligence
ORCID Researchgate Google Scholar
  •  First Joined: 12th Dec, 2021
  •      Dept. of Electrical & Computer Engineering



Book / Book Chapter
Journal Articles
Conference Papers
SL Authors Title Publisher Details Publication Year Type
1 Hafsa Binte Kibria, Abdul Matin The Severity prediction of the binary and multi-class cardiovascular disease-A machine learning-based fusion approach Computational Biology and Chemistry 2022 Journal
2 Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan, Sanzida Islam A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 10-12 Nov. 2021, Mexico City, Mexico 2021 Conference
3 Hafsa Binte Kibria, Oishi Jyoti, Abdul Matin Forecasting the spread of the third wave of COVID-19 pandemic using time series analysis in Bangladesh Informatics in Medicine Unlocked 2021 Journal
4 Hafsa Binte Kibria, Abdul Matin An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing. Springer, Cham. 2020 Book Chapter
5 Hafsa Binte Kibria, Abdul Matin, Sanzida Islam Comparative Analysis of Two Artificial Intelligence Based Decision Level Fusion Models for Heart Disease Prediction International Semantic Intelligence Conference (ISIC), 2020, 2020 Conference
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description