Profile

Md. Nahiduzzaman

মোঃ নাহিদুজ্জামান

Lecturer

  •  Room No:  3rd Floor, Dept. Of ECE
  •  Phone:   880-1763591843
  •  Email:   mdnahiduzzaman320@gmail.com
  • nahiduzzaman@ece.ruet.ac.bd
My research interest includes machine learning and its applications. Recently, I have developed some automated disease detection systems through the analysis of medical images utilizing machines and deep learning models. On top of that, another goal of my research is to create and improve existing deep learning models to be applied to different real-world applications while reducing the model's complexity and trying to make the models more interpretable with explainable AI. I have also completed the project "Complex features extraction with a deep learning model for the detection of COVID-19 from CT scan images using an ensemble-based machine learning approach," funded by the University Grants Commission (UGC) in Bangladesh, and performed some collaborative work with Manchester Metropolitan University.
Field of Research
  •  Object Detection and Classification
  •  Deep Learning
  •  Machine Learning
  •  Medical Image Analysis
  •  First Joined: 05th Nov, 2019
  •      Dept. of Electrical & Computer Engineering

Position

Education

More about Md. Nahiduzzaman
Book / Book Chapter
2
Journal Articles
18
Conference Papers
2
Standard List of Bibliography
SL Authors Title Publisher Details Publication Year Type
1 Md. Omaer Faruq Goni, Md.Nahiduzzaman, Md. Shamim Anower, Md. Mahabubur Rahman, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider, and Mohammad Shahjalal Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine ELSEVIER e-Prime 2023 Journal
2 Md Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, and Marcin Kowalski Diabetic Retinopathy Identification Using Parallel Convolutional Neural Network Based Feature Extractor and ELM Classifier Expert Systems with Applications (Elsevier, Q1, IF: 8.665) 2023 Journal
3 Abdullah Al Rafi, Rakibul Hassan, Md Rabiul Islam, Md Nahiduzzaman Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN Springer Nature Singapore 2023 Book Chapter
4 Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdus Salam, Emama Nahid, Faruque Ahmed, Nasser Al-Emadi, Mohamed Arselene Ayari, Amith Khandakar and Julfikar Haider Explainable Deep Learning Model for Automatic Mulberry Leaf Disease Detection Frontiers in Plant Science (Q1, IF: 6.627)(Under Review) 2023 Journal
5 Abida Sultana, Md Nahiduzzaman, Sagor Chandro Bakchy, Saleh Mohammed Shahriar, Hasibul Islam Peyal, Muhammad E. H. Chowdhury *, Amith Khandakar, Mohamed Arslane Ayari, Mominul Ahsan *, Julfikar Haider A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning Sensors (Q1, IF: 3.576), MDPI (Revision Submitted) 2023 Journal
6 Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider A Multiclass Classification of Chest X-Ray Images to Identify Seventeen Lung Diseases Including COVID-19 Expert Systems With Applications Expert Systems with Applications (Elsevier (IF 8.665)) (Revision Submitted) 2023 Journal
7 Hasibul Islam Peyal, Md Nahiduzzaman, et al. Plant Disease Classifier: Detection of Multi-crop Diseases Using Lightweight CNN Architecture Information Processing in Agriculture (Under Review) 2023 Journal
8 Md. Nahiduzzaman et al. Detection of Various Lung Diseases including COVID-19 Using Extreme Learning Machine Algorithm Based on the Features Extracted from a Lightweight CNN Architecture Elsevier (Biocybernetics and Biomedical Engineering (Q1, IF: 5.687)) (Revision Submitted) 2023 Journal
9 Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider Explainable Transformer-based Deep Learning Model for the Detection of Malaria Parasite from the Blood Cell-Images Sensors (Q1, IF: 3.847), MDPI 2022 Journal
10 Md. Omaer Faruq Goni, Md. Nazrul Islam Mondal, S. M. 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 (Q1, IF: 3.367) 2022 Journal
11 Md. Nahiduzzaman, Md. Rabiul Islam and Rakibul Hassan ChestX-Ray6: Prediction Of Multiple Diseases Including COVID-19 From Chest X-ray Images Using Convolutional Neural Network Expert Systems with Applications (Elsevier, Q1, IF: 8.665) 2022 Journal
12 Hafsa Binte Kibria *, Md Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider * An Ensemble Approach for Prediction of Diabetes Mellitus using Soft Voting Classifier with Explainable AI Sensors (Q1, IF: 3.847), MDPI 2022 Journal
13 Saleh Mohammed Shahriar *, Erphan A. Bhuiyan, Md Nahiduzzaman, Mominul Ahsan, Julfikar Haider * State of Charge Estimation for EV Battery Management Systems using Hybrid Recurrent Learning Approach with Explainable AI Energies (MDPI (Q1, IF: 3.252)) 2022 Journal
14 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 Expert Systems with Applications (Q1, IF: 8.665) 2022 Journal
15 Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzaman, 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 Computers in Biology and Medicine (Q1, IF: 6.698) 2022 Journal
16 Md Omaer Faruq Goni, Md Nahiduzzaman, Md Shamim Anower, S M Muyeen, Innocent Kamwa Integration of Machine Learning with Economic Energy Scheduling International Journal of Electrical Power and Energy Systems (Q1, IF: 5.569) 2022 Journal
17 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 Access (Q1, IF: 3.367) 2021 Journal
18 Md Nahiduzzaman, Md. Robiul Islam, S. M. 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 Access (Q1, IF: 3.367) 2021 Journal
19 Md Rakibul Islam, Abdul Matin, Md Nahiduzzaman, Md Saifullah Siddiquee, Fahim Md Sifnatul Hasnain, SM Shovan, Tonmoy Hasan A Novel Deep Convolutional Neural Network Model for Detection of Parkinson Disease by Analysing the Spiral Drawing Springer, Singapore 2021 Book Chapter
20 Saleh Mohammed Shahriar, Hasibul Islam Peyal, Md Nahiduzzaman, Md Abu Hanif Pramanik An IoT-Based Real-Time Intelligent Irrigation System using Machine Learning ICTS 2021 Conference
21 Md. Robiul Islam, Md. Nahid Hasan, Md. Nahiduzzaman Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network IJISRT 2020 Journal
22 Md. Nahiduzzaman, Md. Julker Nayeem, Md. Toukir Ahmed, Md. Shahid Uz Zaman Prediction of Heart Disease Using Multi-Layer Perceptron Neural Network and Support Vector Machine IEEE 2020 Conference
Phd Students
IdNameThesis workCurrent Position
Masters Students
IdNameThesis workCurrent Position
Undergraduate Students
IdNameThesis workCurrent Position
1610004Saleh Mohammed ShahriarState of Charge Estimation for EV Battery Management Systems using Hybrid Recurrent Learning Approach with Explainable AIJob Seeking
1610037Hasib PeyalPlant Disease Classifier: A SmartAndroid Application for Detection of Multi-crop Diseases Using Lightweight CNN ArchitectureLecturer at Varendra University
1610024Abida SultanaA Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer LearningJob Seeking
Activity Description