Assistant Professor
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Bangabandhu Sheikh Mujibur Rahman Science & Technology University
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Fazle Rabbi, Mahedy Hasan, AI Champa, Rifat Hossain, Asif Zaman | A Convolutional Neural Network Model for Screening COVID-19 Patients Based on CT Scan Images | Springer | 2022 | Conference |
| 2 | S. M. Mahedy Hasan, Md. Fazle Rabbi, Arifa Islam Champa, Md. Asif Zaman | A Comparative Study of Classification Approaches for COVID-19 Prediction | IEEE(Accepted) | 2021 | Conference |
| 3 | Md. Fazle Rabbi, S. M. Mahedy Hasan, Arifa Islam Champa, Md. Asif Zaman | A Convolutional Neural Network Model for Early-Stage Detection of Autism Spectrum Disorder | IEEE(Accepted) | 2021 | Conference |
| 4 | Arifa Islam Champa, Md Fazle Rabbi, S. M. Mahedy Hasan, Md. Asif Zaman | Tree-Based Classifier for Hyperspectral Image Classification via Hybrid Technique of Feature Reduction | IEEE(Accepted) | 2021 | Conference |
| 5 | Arifa Islam Champa, S. M. Mahedy Hasan, Md Atikur Rahman, Md Fazle Rabbi | Hybrid Technique for Classification of Hyperspectral Image Using Quadratic Mutual Information | IEEE | 2020 | Conference |
| 6 | S. M. Mahedy Hasan, Md. Fazle Rabbi, Arifa Islam Champa, Md. Asif Zaman | A Machine Learning-Based Model for Early Stage Detection of Diabetes | IEEE(Accepted) | 2020 | Conference |
| 7 | Md. Fazle Rabbi, S. M. Mahedy Hasan, Arifa Islam Champa, Md. Asif Zaman | An Effective Diabetes Prediction System Using Machine Learning Techniques | IEEE(Accepted) | 2020 | Conference |
| 8 | S. M. Mahedy Hasan, Md. Fazle Rabbi, Arifa Islam Champa, Md. Asif Zaman | A Comparative Study of Classification Algorithms for Liver Disorder Prediction | IEEE(Accepted) | 2020 | Conference |
| 9 | SMM Hasan, MA Mamun, MP Uddin, MA Hossain | Comparative Analysis of Classification Approaches for Heart Disease Prediction | IEEE | 2018 | Conference |
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