Profile

Hafsa Binte Kibria

হাফসা বিনতে কিবরিয়া

Lecturer

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

Position

Education

Book / Book Chapter
1
Journal Articles
2
Conference Papers
2
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, CEUR-WS.org 2020 Conference
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description