Ms. Feroza Naznin | Green University of Bangladesh

Ms. Feroza Naznin

Lecturer

1) M.Sc. in Information and Communication Engineering

Islamic University, Kushtia

2) B.Sc. in Information and Communication Engineering

Islamic University, Kushtia

1) Lecturer (G2)

Dept. of Computer Science and Engineering, Green University of Bangladesh

January 2020 ~ till to date

2) Lecturer (Part time)

Dept. of Computer Science and Engineering, Green University of Bangladesh

September, 2019 ~ January 2020

3) IT Support Engineer

Nation Tech Communication Ltd, Dhaka

August 2016 ~ August 2013

4) Research Assistant

CVIIL Lab, Dept of ICE, Islamic University, Kushtia

June 2013 ~ August 2016

 

Published Journal Paper:

1) Md Zahidul Islam, Feroza Naznin, Asaduz Zaman, “Development of a Content Based Recommender Using Dynamic Artificial Neural Network”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 11, November 2015

2)  Kazi Mowdud Ahmed, Feroza Naznin, Md Shahinuzzaman and Md Zahidul Islam, “Development of Pedestrian Tracking System Using Lucas Kanade Technique”, Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS) 6(3): pp. 233- 235, 2015

3) AFM Shahab Uddin, Feroza Naznin, Md Alamgir Hossain, Md Zahidul Islam, “Digital Licence Plate Detection and Recognition with Improved Vertical Edge Detection and Template Matching”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 6, Issue 1, January 2017 

4) YA Joarder, F Naznin, MA Awal, MZ Islam. “An Improved Hybrid Evolutionary Clustering Algorithm to Mitigate Empty Clustering Problem.” International Journal of Computer Engineering and Information Technology 11, no. 9 (2019): 197-203.

5) Identifying molecular signatures and pathways shared between Alzheimer’s and Huntington’s disorders: a bioinformatics and systems biology approach

NI Mahbub, MI Hasan, MH Rahman, F Naznin… – Informatics in Medicine Unlocked, 2022

6) A Particle Filter Based Visual Object Tracking: A Systematic Review of Current Trends and Research Challenges.

MA Awal, MAR Refat, F Naznin, MZ Islam – International Journal of Advanced Computer Science & …, 2023

7) Ensemble Machine Learning Based Boosting Approach for Non-Performing Loan (NPL) Prediction with Explainability. 

Md Zahidul Islam, Hasan Raj, Sheikh Md Razibul, Mahmudul Hasan Shakil, Sultana Jahan Mukta, Abdut Tawab bin Rashid, Md Shahin Ali, Md Maruf Hossain, Feroza Naznin – SSRN 2023

 

Published Conference Paper:

1) Md Bipul Hossain, Feroza Naznin, Y. A. Joarder, and Md Zahidul Islam, “Recognition and Solution for Handwritten Equation Using Convolutional Neural Network”, 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 25~29 June, 2018, Kitakyushu, Japan.

2) Improved Transfer Learning Architecture to Classify Covid-19 Affected Chest X-Rays using Noisy Student Pre-training

MAI Fahim, F Naznin, MA Moni, MZ Islam – 2021 Joint 10th International Conference on …, 2021

3) Detect bangladeshi mango leaf diseases using lightweight convolutional neural network

NI Mahbub, F Naznin, MI Hasan, SMR Shifat… – 2023 International Conference on Electrical, Computer …, 2023

4Improving Real-Time Object Tracking Through Adaptive Feature Fusion and Resampling in Particle Filters

F Naznin, MS Alam, SA Sathi, MZ Islam – International Conference on Human-Computer …, 2024

 

Published Book Chapter: 

1. IoT and Deep Learning-Based Smart Healthcare with an Integrated Security System to Detect Various Skin Lesions. Khairul IslamZahidul IslamAl AminMojibur Rahman Redoy AkandaShabuj HossenFeroza NazninMohammad Ali Moni,“Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare”

 

University and Board Scholarship from 2009 to 2013

Research Interest:

Computer Vision, Digital Image Processing, Machine Learning, Bio-medical Imaging,  Bioinformatics, and Wireless Communication

Professional Activity:

IEEE Member

IEEE Computer Society Member
(Both renewed up to 2021)