Assistant Professor
Electrical & Computer Engineering
Rajshahi University of Engineering & Technology
Electrical & Computer Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Varendra University
Rajshahi University of Engineeirng & Technology (RUET), Banagladesh.
Kurigram Govt. College, Kurigram
Kurigram Govt. High School, Kurigram
SL | Authors | Title | Publisher Details | Publication Year | Type |
1 | Md Omaer Faruq Goni, Md Nazrul Islam Mondal, SM Riazul Islam, Md Nahiduzzaman, Md Robiul Islam, Md Shamim Anower, Kyung-Sup Kwak | Diagnosis of Malaria using Double Hidden Layer Extreme Learning Machine Algorithm with CNN Feature Extraction and Parasite Inflator | IEEE Access | 2023 | Journal |
2 | Md Omaer Faruq Goni, Md Nahiduzzaman, Md Shamim Anower, Md Mahabubur Rahman, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Mohammad Shahjalal | Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine | e-Prime-Advances in Electrical Engineering, Electronics and Energy | 2023 | Journal |
3 | Md Nahiduzzaman, Md Omaer Faruq Goni, Md Robiul Islam, Abu Sayeed, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski | Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture | Biocybernetics and Biomedical Engineering | 2023 | Journal |
4 | Md Nahiduzzaman, Md Omaer Faruq Goni, Rakibul Hassan, Md Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski | Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19 | Expert Systems with Applications | 2023 | Journal |
5 | Ovi Sarkar, Md Robiul Islam, Md Khalid Syfullah, Md Tohidul Islam, Md Faysal Ahamed, Mominul Ahsan, Julfikar Haider | Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification | Technologies | 2023 | Journal |
6 | Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider | A review on brain tumor segmentation based on deep learning methods with federated learning techniques | Computerized Medical Imaging and Graphics | 2023 | Journal |
7 | Md Faysal Ahamed, Md Robiul Islam, Tahmim Hossain, Khalid Syfullah, Ovi Sarkar | Classification and Segmentation on Multi-regional Brain Tumors Using Volumetric Images of MRI with Customized 3D U-Net Framework | Springer Nature | 2023 | Book Chapter |
8 | Md Nahiduzzaman, Md Robiul Islam, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski | Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier | Expert Systems with Applications | 2023 | Journal |
9 | Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan and Julfikar Haider | Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images | MDPI (Sensors) | 2022 | Journal |
10 | Md Robiul Islam; Md Nahiduzzaman | Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach | ELSEVIER (Expert Systems with Applications) | 2022 | Journal |
11 | Ovi Sarkar, Md Robiul Islam, Tahmim Hossain, Md Khalid Syfullah, Md Tohidul Islam, Md Moniruzzaman | An Empirical Model of Classifying Lung Affected Diseases to Detect COVID-19 Using Chest X-ray Employing Convolutional Neural Architecture | IEEE | 2022 | Conference |
12 | Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzamana, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski | Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images | ELSEVIER (Computers in Biology and Medicine) | 2022 | Journal |
13 | Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md Rakibul Islam | A Novel Method for Multivariant Pneumonia Classification based on Hybrid CNN-PCA Based Feature Extraction using Extreme Learning Machine with Chest X-Ray Images | IEEE (IEEE Access) | 2021 | Journal |
14 | Md Nahiduzzaman, Md Robiul Islam, SM Riazul Islam, Md Omaer Faruq Goni, Md Shamim Anower, Kyung-Sup Kwak | Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy using Extreme Learning Machine Algorithm | IEEE (IEEE Access) | 2021 | Journal |
15 | Ovi Sarkar, Md Faysal Ahamed, Tahsin Tasnia Khan, Moloy Kumar Ghosh, Md Robiul Islam | An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM | IEEE (INCET) | 2021 | Conference |
16 | Pallab Chowdhury, Md Robiul Islam, Md Abdul Based, Pulok Chowdhury | Transfer Learning Approach for Diabetic Retinopathy Detection using Efficient Network with 2 Phase Training | IEEE (6th International Conference for Convergence in Technology (I2CT)) | 2021 | Conference |
17 | Md Robiul Islam, Md Nahid Hasan, Md Nahiduzzaman | Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network | IJISRT | 2021 | Journal |
18 | Md Robiul Islam, Md Al Mehedi Hasan, Abu Sayeed | Transfer Learning based Diabetic Retinopathy Detection with a Novel Preprocessed Layer | IEEE (2020 IEEE Region 10 Symposium (TENSYMP)) | 2020 | Conference |
19 | Joy Paul, Zerin Jahan, Kazi Fahim Lateef, Md Robiul Islam, Sagor Chandro Bakchy | Prediction of Road Accident and Severity of Bangladesh Applying Machine Learning Techniques | IEEE (2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)) | 2020 | Conference |
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