Profile

Md. Farukuzzaman Faruk

মোঃ ফারুকুজ্জামান ফারুক

Assistant Professor

  •  Room No:  Dept. Of CSE, RUET
  •  Phone:   880-1725344079
  •  Email:   faarukuzzaman@gmail.com
  • faruk@cse.ruet.ac.bd
  •  Website:   https://ruet.ac.bd/farukuzzaman
Deep Learning, Machine Learning, Biomedical Imaging, Signal Processing
Field of Research
  •  Deep Learning
  •  Machine Learning
  •  Biomedical Imaging
  •  Biomedical Signal Processing
ORCID Research Gate Google Scholar
  •  First Joined: 05th Nov, 2019
  •      Dept. of Computer Science & Engineering

Position

Education

More about Md. Farukuzzaman Faruk
Book / Book Chapter
2
Journal Articles
1
Conference Papers
36
Standard List of Bibliography
SL Authors Title Publisher Details Publication Year Type
1 Sirajam Samira, Md Farukuzzaman Faruk, Md Nazmul Islam, SM Mahedy Hasan, Md Al Mamun, Azmain Yakin Srizon, Md Rakib Hossain Enhancing Gastrointestinal Diagnosis: CBAM-Integrated CNN for High-Precision Multi-Class Anatomical Landmark Identification IEEE(2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)) 2024 Conference
2 Tushar Das, SM Mahedy Hasan, Anwar Hossain Efat, Md Farukuzzaman Faruk, Azmain Yakin Srizon, Md Al Mamun, Md Rakib Hossain Towards Superior EEG-Based Emotion Recognition: Integrating CNN Outputs with Machine Learning Classifiers for Enhanced Performance IEEE 2024 Conference
3 Ishmam Khan, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Md Al Mamun, SM Mahedy Hasan, Md Nazmul Islam, Md Rakib Hossain, Md Faruk Hossain Leveraging the Robust Capability of Modified Multi-Layer Gated Recurrent Units for Fake News Detection IEEE 2024 Conference
4 Barsha Roy, Md Farukuzzaman Faruk, Md Nazmul Islam, Azmain Yakin Srizon, SM Mahedy Hasan, Md Al Mamun, Md Rakib Hossain, Md Faruk Hossain A Cutting-Edge Ensemble of Vision Transformer and ResNet101v2 Based Transfer Learning for the Precise Classification of Leukemia Sub-types from Peripheral Blood Smear Images IEEE 2024 Conference
5 Ashraf UI Alam, Sudipta Progga Islam, SM Mahedy Hasan, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Md Al Mamun, Md Rakib Hossain Optic Disc and Cup Segmentation via Enhanced U-Net with Residual and Attention Mechanisms IEEE 2024 Conference
6 Abu Sayeed, Nasif Osman Khansur, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Salem A. Alyami, AKM Azad, Mohammad Ali Moni An effective screening of COVID-19 pneumonia by employingchest X-ray segmentation and attention-based ensembled classification IET Image Processing: Wiley (Q2) 2024 Journal
7 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
8 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
9 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
10 Azmain Yakin Srizon, Ananya Sarker, Md Al Mamun, Md Farukuzzaman Faruk, SM Mahedy Hasan Enhancing Waste Categorization Using Ensemble of Transfer Learning and Light-Weight Convolutional Neural Network IEEE 2023 Conference
11 Nahrin Jannat, SM Mahedy Hasan, Azmain Yakin Srizon, Mahjabin Oishe, Anwar Hossain Efat, Md Fakrul Taraque, Mostarina Mitu, Md Farukuzzaman Faruk Efficient Detection of Crop Leaf Diseases: A Lightweight Convolutional Neural Network Approach for Enhanced Agricultural Productivity IEEE 2023 Conference
12 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
13 Soumik Datta, SM Mahedy Hasan, Md Farukuzzaman Faruk, Azmain Yakin Srizon, Md Rakib Hossain, Anwar Hossain Efat, Mostarina Mitu Improved Diabetes Prediction with Reduced Feature Sets: Evaluating Feature Selection Techniques in Machine Learning IEEE 2023 Conference
14 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
15 SM Mahedy Hasan, Md Al Mamun, Md Farukuzzaman Faruk, Azmain Yakin Srizon Ensemble of Deep Convolutional Neural Networks for Multi-Class Skin Lesion Recognition Using Soft Attention IEEE 2023 Conference
16 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
17 Rezwanul Haque, SM Mahedy Hasan, Azmain Yakin Srizon, Anwar Hossain Efat, Md Farukuzzaman Faruk, Mahjabin Oishe, Nahrin Jannat, Mostarina Mitu Evaluating the Efficacy of Feature Selection Methods in Cardiovascular Disease Prediction with Machine Learning IEEE 2023 Conference
18 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
19 Md Hedayatul Islam, Md Rakib Hossain, Farzana Akter, Azmain Yakin Srizon, SM Mahedy Hasan, Md Farukuzzaman Faruk, Md Minhazul Islam Enhanced Brain Tumor Segmentation: A Study on the Efficacy of Multi-Model Ensembling Utilizing Diverse Backbones IEEE 2023 Conference
20 Md Minhazul Islam, SM Mahedy Hasan, Md Rakib Hossain, Azmain Yakin Srizon, Farzana Akter, Md Farukuzzaman Faruk, Sheikh Shraboni Akter Channel Attention-Guided Lightweight CNN Meets Extreme Learning Machine: Multi-Class Crop Leaf Disease Classification with Explainable AI IEEE 2023 Conference
21 Shahriar Emon, Md Rakib Hossain, SM Mahedy Hasan, Azmain Yakin Srizon, Farzana Akter, Md Farukuzzaman Faruk, Md Shakib Hossain Prediction of Medical Insurance Costs: A SHAP-Enhanced Predictive Analysis for Transparency and Interpretability IEEE 2023 Conference
22 Md Shakib Hossain, Md Rakib Hossain, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Hedayatul Islam Leveraging AI-Driven Strategies to Mitigate Employee Turnover in Commercial Industries IEEE 2023 Conference
23 Shadman Sakib, Md Rakib Hossain, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Anindya Basak Predictive Analytics in Agriculture: Unraveling the Determinants of Crop Yield with Machine Learning IEEE 2023 Conference
24 Anindya Basak, Farzana Akter, Md Rakib Hossain, Azmain Yakin Srizon, SM Mahedy Hasan, Md Farukuzzaman Faruk, Shadman Sakib A Novel CNN-BiLSTM Fusion Model for Robust Age Estimation from Facial Images IEEE 2023 Conference
25 Md Minhazul Islam, Tanbeer Jubaer, Azmain Yakin Srizon, Md Rakib Hossain, SM Mahedy Hasan, Md Farukuzzaman Faruk, AFM Minhazur Rahman Navigating Bengali Linguistics: Insights from Machine and Deep Learning Perspectives for Categorization of Sentences IEEE 2023 Conference
26 Sheikh Shraboni Akter, Md Rakib Hossain, SM Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md Farukuzzaman Faruk, Md Minhazul Islam Decoding Smart Grid Equilibrium: Insights from Machine Learning Models IEEE 2023 Conference
27 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
28 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
29 Md. Farukuzzaman Faruk, Md. Rabiul Islam and Emrana Kabir Hashi Screening Pathological Abnormalities in Gastrointestinal Images Using Deep Ensemble Transfer Learning IEEE 2022 Conference
30 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
31 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
32 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
33 Farukuzzaman Faruk VGGCovidNet: A Deep Convolutional Neural Network to Predict COVID-19 Cases from X-Ray Images IEEE 2021 Conference
34 Farukuzzaman Faruk RGU-Net: Residual Guided U-Net Architecture for Automated Segmentation of COVID-19 Anomalies Using CT Images IEEE 2021 Conference
35 Md. Farukuzzaman Faruk ResidualCovid-Net: An Interpretable Deep Network to Screen COVID-19 Utilizing Chest CT Images IEEE 2021 Conference
36 Mrinmoy Mondal; Md. Farukuzzaman Faruk; Nasif Raihan; Protiva Ahammed Deep Transfer Learning Based Multi-Class Brain Tumors Classification Using MRI Images IEEE 2021 Conference
37 Md. Ahsan Habib Raj , Md. Al Mamun & Md. Farukuzzaman Faruk CNN Based Diabetic Retinopathy Status Prediction Using Fundus Images IEEE 2020 Conference
38 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
39 Md. Farukuzzaman Faruk and Abu Sayeed K-mer Based DNA Methylation Status Prediction Using Support Vector Machine IEEE 2019 Conference
  •  Best Paper Award in ICECTE-2019
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description