Assistant Professor
Students' Welfare
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Shahid Lt. Salim Hall
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology
Cantonment Public School & College, Rangpur
Dimla Rani Brinda Rani Govt. High School, Dimla, Nilphamari
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Anirban Barai , Md. Farukuzzaman Faruk , Shakil Mahmud Shuvo , Azmain Yakin Srizon, SM Mahedy Hasan, Abu Sayeed | A Late Fusion Deep CNN Model for the Classification of Brain Tumors from Multi-Parametric MRI Images | IEEE(NCIM-2023) | 2023 | Conference |
| 2 | Tahsen Islam Sajon, Barsha Roy, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Shakil Mahmud Shuvo, Md. Al Mamun, Abu Sayeed, S. M. Mahedy Hasan | Attention Mechanism-enhanced Deep CNN Architecture for Precise Multi-Class Leukemia Classification | Springer | 2023 | Book Chapter |
| 3 | Shakil Mahmud Shuvo, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Tahsen Islam Sajon, S. M. Mahedy Hasan, Anirban Barai, A. F. M. Minhazur Rahman, Md. Al Mamun | Multi-Class Brain Tumor Classification with DenseNet Based Deep Learning Features and Ensemble of Machine Learning Approaches | Springer | 2023 | Book Chapter |
| 4 | Sheikh Fazle Rabbi, Md Al Mamun, Md Farukuzzaman Faruk, SM Mahedy Hasan, Azmain Yakin Srizon | A Multi-branch and Attention Based CNN Architecture for the Classification of Retinal Diseases from OCT Images | IEEE | 2023 | Conference |
| 5 | Md Nazmul Islam, Md Al Mamun, Md Farukuzzaman Faruk, Azmain Yakin Srizon, SM Mahedy Hasan, Barsha Roy | Spatial Attention-guided Deep Learning for Accurate Kidney Disease Classification in CT Scans | IEEE | 2023 | Conference |
| 6 | Farjana Islam, Md Farukuzzaman Faruk, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Rakib Hossain, Md Al Mamun, Md Nazmul Islam, Md Faruk Hossain | An Investigation of Hyperparameters Optimization and Feature Reduction Techniques: Predicting Airline Passenger Satisfaction Using Machine Learning Models | IEEE | 2023 | Conference |
| 7 | Md Sabbir Hossain, Md Farukuzzaman Faruk, Azmain Yakin Srizon, SM Mahedy Hasan, Md Shariful Chowdhury, Md Rakib Hossain, Md Nazmul Islam, Md Faruk Hossain | A Customized 3D CNN Integrated with Convolutional Block Attention Module for Precise Diagnosis of COVID-19 and Pneumonia from CT Scan Images | IEEE | 2023 | Conference |
| 8 | Tahsen Islam Sajon, Maria Chowdhury, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Abu Sayeed, A. F. M. Minhazur Rahman | Recognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning Approach | IEEE(ECCE 2023) | 2023 | Conference |
| 9 | Nahrin Jannat, S. M. Mahedy Hasan, Anwar Hossain Efat, Md Fakrul Taraque, Mostarina Mitu, Md. Al Mamun, Md. Farukuzzaman Faruk | Stacking Ensemble Technique for Multiple Medical Datasets Classification: A Generalized Prediction Model | IEEE(ECCE 2023) | 2023 | Conference |
| 10 | Md. Farukuzzaman Faruk, Md. Rabiul Islam and Emrana Kabir Hashi | Screening Pathological Abnormalities in Gastrointestinal Images Using Deep Ensemble Transfer Learning | IEEE | 2022 | Conference |
| 11 | Protiva Ahammed, Md. Farukuzzaman Faruk, Nasif Raihan and Mrinmoy Mondal | Inception V3 Based Transfer Learning Model for the Prognosis of Acute Lymphoblastic Leukemia from Microscopic Images | IEEE | 2022 | Conference |
| 12 | A. Y. Srizon, S. M. M. Hasan, M. F. Faruk, A. Sayeed and M. A. Hossain | Human Activity Recognition Utilizing Ensemble of Transfer-Learned Attention Networks and a Low-Cost Convolutional Neural Architecture | IEEE | 2022 | Conference |
| 13 | M. S. I. Shopnil, S. M. M. Hasan, A. Y. Srizon and M. F. Faruk | Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning | IEEE | 2022 | Conference |
| 14 | Farukuzzaman Faruk | VGGCovidNet: A Deep Convolutional Neural Network to Predict COVID-19 Cases from X-Ray Images | IEEE | 2021 | Conference |
| 15 | Farukuzzaman Faruk | RGU-Net: Residual Guided U-Net Architecture for Automated Segmentation of COVID-19 Anomalies Using CT Images | IEEE | 2021 | Conference |
| 16 | Md. Farukuzzaman Faruk | ResidualCovid-Net: An Interpretable Deep Network to Screen COVID-19 Utilizing Chest CT Images | IEEE | 2021 | Conference |
| 17 | Mrinmoy Mondal; Md. Farukuzzaman Faruk; Nasif Raihan; Protiva Ahammed | Deep Transfer Learning Based Multi-Class Brain Tumors Classification Using MRI Images | IEEE | 2021 | Conference |
| 18 | Md. Ahsan Habib Raj , Md. Al Mamun & Md. Farukuzzaman Faruk | CNN Based Diabetic Retinopathy Status Prediction Using Fundus Images | IEEE | 2020 | Conference |
| 19 | 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 |
| 20 | Md. Farukuzzaman Faruk and Abu Sayeed | K-mer Based DNA Methylation Status Prediction Using Support Vector Machine | IEEE | 2019 | Conference |
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