Assistant Professor
Conducted Courses:
Electrical & Computer Engineering
Rajshahi University of Engineering & Technology
Electrical & Computer Engineering
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology
Sirajganj Government College, Sirajganj
Saleha Ishaque Govt Girls' High School, Sirajganj
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Zareen Tasnim Pear, Hafsa Binte Kibria | Parallel ANN Model: A Potential Alternative to CNNs for Network Intrusion Detection on the UNSW-NB15 Dataset | IEEE | 2025 | Conference |
| 2 | Faria Afrin Tisha, Md Nahiduzzaman, Hafsa Binte Kibria | Real-Time AQI Estimation: A Smart and Lightweight AI-Based System Using Gas Sensors | IEEE | 2025 | Conference |
| 3 | Sanjila Parvin, Md Ali Hossain, Hafsa Binte Kibria | Balancing Accuracy and Reliability: Addressing Class Imbalance, Outlier Handling, and Data Leakage in Water Potability Prediction | IEEE | 2025 | Conference |
| 4 | Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md Nahiduzzaman, Md Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad EH Chowdhury | A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI | IEEE Access | 2025 | Journal |
| 5 | Amith Khandakar, Azad Ashraf, Mohamed Arselene Ayari, Amin Esmaeili, Mohannad Aljarrah, Philips Michael, Md Nahiduzzaman, Hafsa Binte Kibria, Vasiliki Maria Gerokosta, Abdul Ahad Shehbaz, Maryam Abdulla RA Al-Mansoori, Farah Khattab | Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach | Computers and Electrical Engineering | 2025 | Journal |
| 6 | Md Nahiduzzaman, Md Faysal Ahamed, Mansura Naznine, Md Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider | An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability | Knowledge-Based Systems | 2025 | Journal |
| 7 | Hafsa Binte Kibria, Md Ali Hossain, Shazia Rehman, Damminda Alahakoon, Md Anisur Rahman | An explainable lightweight parallel depth-wise separable model for lung infection detection from chest X-rays | Neural Computing and Applications | 2025 | Journal |
| 8 | Md Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, Amith Khandakar, Mohamed Arselene Ayari, Md Faysal Ahamed, Mominul Ahsan, Julfikar Haider, Mohammad Ali Moni, Marcin Kowalski | A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images | Scientific Reports | 2025 | Journal |
| 9 | Hafsa Binte Kibria, MD Ali Hossain | Detecting COVID-19 and Lung Diseases Utilizing Parallel CNN Model on Chest X-Rays Enhanced with GradCAM Visualization | IEEE | 2024 | Conference |
| 10 | Tanzim Ahad, Hafsa Binte Kibria, Md Yusuf Mehemud | MultiClass Classification of Chest Diseases using CXR Images with DenseNet201+ CNN and Grad CAM Visualization | IEEE | 2024 | Conference |
| 11 | Zareen Tasnim Pear, Hafsa Binte Kibria | Enhanced Network Intrusion Detection Using a Hybrid CNN-LSTM Approach on the UNSW-NB15 Dataset | IEEE | 2024 | Conference |
| 12 | Mahbuba Habib, Hafsa Binte Kibria | Feature Selection-Based Machine Learning Approaches for Detecting Android Malware with Explainable AI | IEEE | 2024 | Conference |
| 13 | Oishi Jyoti, Hafsa Binte Kibria, Md Munawar Hossain | A Machine Learning Approach for Distribution Transformer Fault Detection | IEEE | 2023 | Conference |
| 14 | Md Yusuf Mehemud, Hafsa Binte Kibria, Abdus Salam | Efficient Brain Tumor Classification through Transfer Learning Models | IEEE | 2023 | Conference |
| 15 | Nazmin Islam, Hafsa Binte Kibria | Enhancing Stroke Prediction through Interpretable AI: Distinguishing Stroke Cases from Non-Stroke Cases | IEEE | 2023 | Conference |
| 16 | Hafsa Binte Kibria, Md Ali Hossain | Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray | IEEE | 2023 | Conference |
| 17 | Zakia Afrin, Fariya Tabassum, Hafsa Binte Kibria, MD Rafi Imam, Md Rokibul Hasan | YOLOv8 Based Object Detection for Self-driving Cars | IEEE | 2023 | Conference |
| 18 | Sanzida Islam, Abdul Matin, Hafsa Binte Kibria | Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications | Springer International Publishing | 2022 | Book Chapter |
| 19 | 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 |
| 20 | 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 |
| 21 | Iffat Zabin Tonu, Abdul Matin, Hafsa Binte Kibria | Vision Based Human Action Classification Using CNN model with Mode Calculation | IEEE | 2021 | Conference |
| 22 | 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 |
| 23 | 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 |
| 24 | 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 |
| 25 | 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 |
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