Md. Farukuzzaman Faruk

মোঃ ফারুকুজ্জামান ফারুক

Assistant Professor

  •  Room No:  Dept. Of CSE, RUET
  •  Phone:   880-1725344079
  •  Email:
  •  Website:
Biomedical Imaging, Bioinformatics, Deep Learning, Machine Learning,Signal Processing
Field of Research
  •  Biomedical Imaging, Bioinformatics, Deep Learning, Machine Learning,Signal Processing
Google Scholar
  •  First Joined: 05th Nov, 2019
  •      Dept. of Computer Science & Engineering



Book / Book Chapter
Journal Articles
Conference Papers
SL Authors Title Publisher Details Publication Year Type
1 Farukuzzaman Faruk VGGCovidNet: A Deep Convolutional Neural Network to Predict COVID-19 Cases from X-Ray Images IEEE 2021 Conference
2 Farukuzzaman Faruk RGU-Net: Residual Guided U-Net Architecture for Automated Segmentation of COVID-19 Anomalies Using CT Images IEEE 2021 Conference
3 Md. Farukuzzaman Faruk ResidualCovid-Net: An Interpretable Deep Network to Screen COVID-19 Utilizing Chest CT Images IEEE 2021 Conference
4 Mrinmoy Mondal; Md. Farukuzzaman Faruk; Nasif Raihan; Protiva Ahammed Deep Transfer Learning Based Multi-Class Brain Tumors Classification Using MRI Images IEEE 2021 Conference
5 Md. Ahsan Habib Raj , Md. Al Mamun & Md. Farukuzzaman Faruk CNN Based Diabetic Retinopathy Status Prediction Using Fundus Images IEEE 2020 Conference
6 Abu Sayeed, Abdul Alim, Ali Hossain & Md. Farukuzzaman Faruk Target Class Oriented Subspace Detection for Hyperspectral Image Classification by Using Mutual Information and Cross Cumulative Residual Entropy IEEE 2020 Conference
7 Md. Farukuzzaman Faruk and Abu Sayeed K-mer Based DNA Methylation Status Prediction Using Support Vector Machine IEEE 2019 Conference
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description