EXTERNAL PROFILES
Associate Professor
Dr. Mohammad Amzad Hossain
Dr. Mohammad Amzad Hossain received his B.Sc. and M.Sc. in Information and Communication Technology (ICT) from the Islamic University (IU), Kushtia, Bangladesh in 2010 and 2011, respectively. He was a recipient of the two years "ICT Ministry Scholarship" funded by the Ministry of ICT Division, Dhaka, Bangladesh. He received his structured Ph.D. in Computer Science from University of Galway, Galway, Ireland, in June 2022. He is currently an Associate Professor in the Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. His research interests include Machine Learning, Deep Learning, Medical Image Processing, Spectrum Sensing of Cognitive Radio Networks, MIMO based Cognitive Radio Networks and Cognitive Radio based Internet of Things (CR-IoT) Networks, Internet of Vehicles (IoV), and Machine learning/Deep learning based Wireless Communications. Dr. Amzad has published more than 30 publications in international journals, international conferences, and book chapters with a total number of citations of more than 800 and an H-index of 11 reported by Google Scholar. He also acts as a referee in several highly reputed journals and international conferences.
Applied Chemistry and Chemical Engineering
BIOGRAPHY
Dr. Mohammad Amzad Hossain received his B.Sc. and M.Sc. in Information and Communication Technology (ICT) from the Islamic University (IU), Kushtia, Bangladesh in 2010 and 2011, respectively. He was a recipient of the two years "ICT Ministry Scholarship" funded by the Ministry of ICT Division, Dhaka, Bangladesh. He received his structured Ph.D. in Computer Science from University of Galway, Galway, Ireland, in June 2022. He is currently an Associate Professor in the Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. His research interests include Machine Learning, Deep Learning, Medical Image Processing, Spectrum Sensing of Cognitive Radio Networks, MIMO based Cognitive Radio Networks and Cognitive Radio based Internet of Things (CR-IoT) Networks, Internet of Vehicles (IoV), and Machine learning/Deep learning based Wireless Communications. Dr. Amzad has published more than 30 publications in international journals, international conferences, and book chapters with a total number of citations of more than 800 and an H-index of 11 reported by Google Scholar. He also acts as a referee in several highly reputed journals and international conferences.
RESEARCH INTERESTS
2018 - 2022
Ph.D.
School of Computer Science
University of Galway, Galway, Ireland
2011 - 2013
M.Sc.
Information and Communication Engineering
Islamic University, Kushtia, Bangladesh
2006 - 2010
B.Sc.
Information and Communication Engineering
Islamic University, Kushtia, Bangladesh
Last updated on 2026-07-10 04:39:50
2026-07-10
2023-01-27
2017-12-28
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AWARDS AND ACHIEVEMENTS
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Robust and Real-Time Bangladeshi Currency Recognition: A Dual-Stream MobileNet and EfficientNet Approach
Deep learning based non-line of sight optical camera communication system designed for indoor applications
Machine learning–based prediction model for oxygen requirement in hospitalized COVID-19 patients
A Unified BERT-CNN-BiLSTM Framework for Simultaneous Headline Classification and Sentiment Analysis of Bangla News
PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection
VashaNet: An automated system for recognizing handwritten Bangla basic characters using deep convolutional neural network
An explainable artificial intelligence framework for the predictive analysis of hypo and hyper thyroidism using machine learning algorithms
Breast cancer detection based on simplified deep learning technique with histopathological image using BreaKHis database
Evaluation of machine learning techniques for hypertension risk prediction based on medical data in Bangladesh
Bioinformatics approach to identify the core ontologies, pathways, signature genes and drug molecules of prostate cancer
Prediction of depression using machine learning tools taking consideration of oversampling
Enhanced current mirror circuit by dual-gate coplanar amorphous InGaZnO TFTs
Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm
Prediction on domestic violence in bangladesh during the covid-19 outbreak using machine learning methods
Enhancing the spectrum sensing performance of cluster-based cooperative cognitive radio networks via sequential multiple reporting channels
Machine learning-based malicious user detection in energy harvested cognitive radio-internet of things
Automatic human brain tumor detection in MRI image using template-based K means and improved fuzzy C means clustering algorithm
Unscented kalman filter based on spectrum sensing in a cognitive radio network using an adaptive fuzzy system
Deep Learning for High-Fidelity Mpox Classification: From Data to Diagnosis
Hybrid EfficientNet-B3 and Vision Transformer Model for Thyroid Nodule Classification with Explainable AI
A Novel Lightweight CNN Architecture for Multi-Class Brain Tumour Detection from MR Image
Hybrid Deep Learning Framework for Automated Plant Leaf Disease Detection
VashaNet-V2: Bangla Handwritten Character Recognition Using a Novel Deep Convolutional Neural Network and an Extended Original Dataset
MU-MIMO based cognitive radio in internet of vehicles (IoV) for enhanced spectrum sensing accuracy and sum rate
A reliable energy and spectral efficient spectrum sensing approach for cognitive radio based IoT networks
Enhancing the spectrum utilization in cellular mobile networks by using cognitive radio technology
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- Institutional Email: amzad@nstu.edu.bd
- Personal Email: amzadiceiu@gmail.com
- Mobile number: 01722941909
- Emergency Contact: 01716742731
- PABX:N/A
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Department
Applied Chemistry and Chemical Engineering
Noakhali Science and Technology University