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Alireza Jolfaei
Researcher at Macquarie University
Publications - 180
Citations - 4410
Alireza Jolfaei is an academic researcher from Macquarie University. The author has contributed to research in topics: Computer science & Encryption. The author has an hindex of 22, co-authored 141 publications receiving 1803 citations. Previous affiliations of Alireza Jolfaei include Temple University & Griffith University.
Papers
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Journal ArticleDOI
A High Step-Up Dual-Source Three-Phase Inverter Topology With Decoupled and Reliable Control Algorithm
TL;DR: In this article, a new structure for dual-input single-output three-phase inverters with a high voltage gain is presented, based on the impedance source inverters, which is suitable for applications such as connecting to hybrid renewable energy systems.
Journal ArticleDOI
An energy-aware drone trajectory planning scheme for terrestrial sensors localization
TL;DR: Simulation results show that the WETAR as an aerial anchor guiding mechanism, guides the drone effectively and reduces localization time, saves the drone energy, and improves the location error as well as the localization coverage.
Journal ArticleDOI
Fog Intelligence for Secure Smart Villages: Architecture, and Future Challenges
TL;DR: This article explores the integration of DFC with IoT in improving security and privacy solutions for villagers and Consumer Electronic (CE) devices and design and evaluate the performance of an Intrusion Detection System in DFC-based smart village environment.
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Real-time monitoring and operation of microgrid using distributed cloud–fog architecture
TL;DR: A new distributed multi-agent framework based on the three layers’ fog computing architecture is developed for real-time microgrid economic dispatch and monitoring, and the changes of load at any time will be tracked by the proposed technique, considering unit sudden exits and entries.
Book ChapterDOI
A novel deep learning model to secure internet of things in healthcare
Usman Ahmad,Hong Song,Awais Bilal,Shahid Mahmood,Mamoun Alazab,Alireza Jolfaei,Asad Ullah,Uzair Saeed +7 more
TL;DR: In this paper, an Artificial Neural Network (ANN) is proposed to efficiently work with small datasets, and a prediction algorithm for classification and regression is presented. But, the proposed ANN structure comprises on subnets instead of layers, controlled by a central mechanism.