Md. Robiul Islam

মোঃ রবিউল ইসলাম

Assistant Professor

  •  Room No:  Room # 418, 3rd Floor, ECE Building, RUET, Rajshahi, Bangladesh
  •  Phone:   880-1918744571 , 880-1774361463
  •  Email:
Field of Research
  •  Deep Learning
  •  Medical Imaging
  •  Computer Vision

  •  First Joined: 16th Feb, 2019
  •      Dept. of Electrical & Computer Engineering



Book / Book Chapter
Journal Articles
Conference Papers
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 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
4 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
5 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
6 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
7 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
8 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
9 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
10 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
11 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
12 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
13 Md Robiul Islam, Md Nahid Hasan, Md Nahiduzzaman Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network IJISRT 2021 Journal
14 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
15 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
  •  Technical Scholarship (2013-2017), RUET
  •  Prime Bank Foundation scholarship (2013-2017)
  •  Education Board Scholarship (SSC) 2010
  •  Talent pool (2nd in Sadar) Scholarship at Junior Scholarship Exam 2008
  •  Primary Scholarship Exam 2005
  •  Adviser, 17 series, Dept. of ECE, RUET
  •  Treasurer, Technocracy 2019, Organized by Dept. of Electrical and Computer Engineering (ECE), RUET
  •  Lecturer, Dept. of Computer Science & Engineering (CSE), Varendra University, 01 Feb 2018 to 14 Feb 2019
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description