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
Field of Research
  •  Deep Learning
  •  Machine Learning
  •  Medical Image Analysis

  •  First Joined: 05th Nov, 2019
  •      Dept. of Electrical & Computer Engineering

Position

Education

Book / Book Chapter
1
Journal Articles
10
Conference Papers
2
SL Authors Title Publisher Details Publication Year Type
1 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
2 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
3 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
4 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)) 2022 Journal
5 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
6 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
7 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
8 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
9 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
10 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
11 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
12 Md. Robiul Islam, Md. Nahid Hasan, Md. Nahiduzzaman Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network IJISRT 2020 Journal
13 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 AIStudent
1610037Hasib PeyalPlant Disease Classifier: A SmartAndroid Application for Detection of Multi-crop Diseases Using Lightweight CNN ArchitectureStudent
Activity Description