Md Mamunur Rashid

Lecturer

CQUniversity

Australia

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About

Md Mamunur Rashid is a Lecturer at CQUniversity, Australia. His research encompasses a variety of areas including generative artificial intelligence in ICT education, blockchain technology for healthcare data sharing, and cyberattack detection in IoT-based applications. He has contributed to literature on machine learning techniques and their applications in agriculture and smart cities.

Articles (11)

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2025

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2025

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2025

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2024

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2024

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (14)

Biplob Ray

Senior Lecturer

Central Queensland University

AUSTRALIA

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Fariza Sabrina

Central Queensland University

AUSTRALIA

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Quyen G. To

Central Queensland University

AUSTRALIA

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Danya Hodgetts

Adjunct Research Fellow (current), Head of Program (2006-08), Lecturer (2004-14)

Central Queensland University

AUSTRALIA

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Nahina Islam

Central Queensland University

AUSTRALIA

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Corneel Vandelanotte

Associate Professor

Central Queensland University

AUSTRALIA

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Stewart Trost

Queensland University of Technology

AUSTRALIA

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Darren Turnbull

Central Queensland University

AUSTRALIA

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Rajan Kadel

Senior Lecturer and Course Coordinator

Royal Melbourne Institute of Technology

AUSTRALIA

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Salahuddin Azad

Lecturer-ICT

Central Queensland University

AUSTRALIA

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Santoso Wibowo

Associate Professor/Postgraduate Research Coordinator

Central Queensland University

AUSTRALIA

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Carol Maher

University of South Australia

AUSTRALIA

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Tasadduq Imam

Lecturer

CQUniversity

AUSTRALIA

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Steven Gordon

Central Queensland University

AUSTRALIA

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Md Mamunur Rashid

Research Interests

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About

Articles (11)

Generative AI as a learning assistant in ICT education: student perspectives and educational implications

The Promise and Pitfalls: A Literature Review of Generative Artificial Intelligence as a Learning Assistant in ICT Education

Blockchain-Based Secured Data Sharing in Healthcare: A Systematic Literature Review

Perceptions and expectations of an artificially intelligent physical activity digital assistant — A focus group study

Forecasting Foreign Direct Investment Inflow to Bangladesh: Using an Autoregressive Integrated Moving Average and a Machine Learning-Based Random Forest Approach

Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications

A tree-based stacking ensemble technique with feature selection for network intrusion detection

Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm

A Review of Applications and Communication Technologies for Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) Based Sustainable Smart Farming

Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques

A Survey on Behavioral Pattern Mining From Sensor Data in Internet of Things

Collaborators (14)

Biplob Ray

Fariza Sabrina

Quyen G. To

Danya Hodgetts

Nahina Islam

Corneel Vandelanotte

Stewart Trost

Darren Turnbull

Rajan Kadel

Salahuddin Azad

Santoso Wibowo

Carol Maher

Tasadduq Imam

Steven Gordon

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