Profile

Hafsa Binte Kibria

হাফসা বিনতে কিবরিয়া

Assistant Professor

Conducted Courses:


  • Computer Programming (C)
  • Circuits and Systems -II
  • Object Oriented Programming (C++)
  • Analog Electronic Circuits-II
  • Computer Architecture and Design
  • Operating System 
  • Digital Signal Processing
  • Neural Networks & Fuzzy Systems
  • Fiber optic Communication
Field of Research
  •  Image Classification
  •  Explainable AI (XAI)
  •  Machine Learning
  •  Data Science
ORCID Researchgate Google Scholar
  •  First Joined: 12th Dec, 2021
  •      Dept. of Electrical & Computer Engineering

Position

Education

Book / Book Chapter
2
Journal Articles
3
Conference Papers
9
SL Authors Title Publisher Details Publication Year Type
1 Mahbuba Habib, Hafsa Binte Kibria Feature Selection-Based Machine Learning Approaches for Detecting Android Malware with Explainable AI IEEE 2024 Conference
2 Zakia Afrin, Fariya Tabassum, Hafsa Binte Kibria, MD Rafi Imam, Md Rokibul Hasan YOLOv8 Based Object Detection for Self-driving Cars IEEE 2023 Conference
3 Hafsa Binte Kibria, Md Ali Hossain Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray IEEE 2023 Conference
4 Nazmin Islam, Hafsa Binte Kibria Enhancing Stroke Prediction through Interpretable AI: Distinguishing Stroke Cases from Non-Stroke Cases IEEE 2023 Conference
5 Md Yusuf Mehemud, Hafsa Binte Kibria, Abdus Salam Efficient Brain Tumor Classification through Transfer Learning Models IEEE 2023 Conference
6 Oishi Jyoti, Hafsa Binte Kibria, Md Munawar Hossain A Machine Learning Approach for Distribution Transformer Fault Detection IEEE 2023 Conference
7 Hafsa Binte Kibria, Md Nahiduzzaman, Md Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI Sensors 2022 Journal
8 Sanzida Islam, Abdul Matin, Hafsa Binte Kibria Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications Springer International Publishing 2022 Book Chapter
9 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
10 Iffat Zabin Tonu, Abdul Matin, Hafsa Binte Kibria Vision Based Human Action Classification Using CNN model with Mode Calculation IEEE 2021 Conference
11 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
12 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
13 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
14 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
  •  Student of the year Award for Best Academic Performance (2016, 2018 and 2019)
  •  Government Scholarship for Academic Achievement (Golden GPA 5.00) in the HSC Exam, 2015
  •  Government Scholarship for Academic Achievement (Golden GPA 5.00) in the SSC Exam, 2013
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description