Personal profile
Biography
Dr Omid Tavallaie is a Lecturer in the Department of Computer Science at the University of Western Australia and a Visiting Academic in the Department of Engineering Science at the University of Oxford. Before joining UWA, he held postdoctoral research positions at both the University of Oxford and the University of Sydney. He earned his PhD in Computer Science from the University of Sydney in 2021. Between 2021 and 2024, he also lectured postgraduate courses at the University of Sydney. Dr Tavallaie has over seven years of teaching experience as a lecturer and more than three years of industry experience as an R&D Engineer. His research focuses on sustainable computer networking, distributed systems, the Internet of Things (IoT), and federated learning.
Education/Academic qualification
Computer Science, PhD, University of Sydney
External positions
Visiting Academic, University of Oxford
Research expertise keywords
- Distributed systems
- Computer networking
- Security and Privacy
- Federated Learning
- Sustainable Computing
- Internet of Things
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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Research output
- 2 Conference paper
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Throughput Maximization in Low-Power IoT Networks via Tuning the Size of the TSCH Slotframe
Tavallaie, O., Taheri, J. & Zomaya, A., 2021, ACM Conference on Embedded Networked Sensor Systems (SenSys 2021). p. 401-402 2 p. (SenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
2 Link opens in a new tab Citations (Scopus) -
Towards optimizing time-slotted channel hopping scheduling on 6TiSCH networks
Tavallaie, O., Taheri, J. & Zomaya, A. Y., 16 Nov 2020, ACM Conference on Embedded Networked Sensor Systems (SenSys 2020). p. 737-738 2 p. (SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
6 Link opens in a new tab Citations (Scopus)