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Albert Y. Zomaya
Researcher at University of Sydney
Publications - 1020
Citations - 30827
Albert Y. Zomaya is an academic researcher from University of Sydney. The author has contributed to research in topics: Cloud computing & Scheduling (computing). The author has an hindex of 75, co-authored 946 publications receiving 24637 citations. Previous affiliations of Albert Y. Zomaya include University of Alabama & University of Sheffield.
Papers
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Proceedings ArticleDOI
Enabling Edge Intelligence for Activity Recognition in Smart Homes
TL;DR: This work proposes an Edge-based solution for addressing the activity recognition problem in smart homes from multiple perspectives, including architecture, algorithm design and system implementation, and proposes a convolutional neural network model to perform activity recognition tasks on Edge devices.
Journal Article
Improving performance of mobile ad hoc networks using efficient Tactical On Demand Distance Vector (TAODV) routing algorithm
Mueen Uddin,Azizah Abdul Rahman,Abdulrahman Alarifi,Muhammad Talha,Muhammad Talha,Asadullah Shah,Mohsin Iftikhar,Albert Y. Zomaya,Albert Y. Zomaya +8 more
TL;DR: The design and performance evaluation of a new efficient on demand routing protocol for mobile ad-hoc networks and the design of a novel on-demand routing algorithm based on a query localization technique are presented.
Journal ArticleDOI
Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning
TL;DR: In this paper, a task offloading method based on meta reinforcement learning is proposed to adapt fast to new environments with a small number of gradient updates and samples, which can reduce the latency by up to 25 percent.
Journal ArticleDOI
The Hierarchical Smart Home Cyberattack Detection Considering Power Overloading and Frequency Disturbance
TL;DR: Simulation results demonstrate that the proposed hierarchical computing technique can effectively and efficiently detect cyberattacks, achieving the detection accuracy of above 98%, while improving the scalability.
Book
Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences
TL;DR: This volume explores the use of ideas from nature to solve problems in computations by reviewing genetic algorithms, evolutionary computations, DNA computing, and other new and novel methods of computations to improve software and hardware design in high-performance computing.