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Associate Professor
Sara Khalifa
Faculty of Science,
School of Information Systems
Biography
Sara Khalifa is an associate professor at Queensland University of Technology. Her research revolves around the broad aspects of ubiquitous sensing and edge computing for Internet of Things (IoT) applications. Specifically, she focuses on enhancing the energy efficiency of mobile sensing systems and developing lightweight machine learning techniques for resource-constrained sensing devices. From 2016-2023, she was with CSIRO’s Data61 establishing the foundational research area of “Energy Harvesting Sensing (EHS)” as a core research focus developing a new paradigm for energy-efficient sensing and context recognition, opening up a multitude of new applications, generating IP, and attracting significant funding and commercial interest.She obtained a PhD in Computer Science and Engineering from UNSW (Sydney, Australia). Her PhD dissertation received the 2017 John Makepeace Bennett Award which is awarded by CORE (Computing Research and Education Association of Australasia) to the best PhD dissertation of the year within Australia and New Zealand in the field of Computer Science. Her research has been also recognised by multiple iAwards including 2017 NSW Mobility Innovation of the year, 2017 NSW R&D Innovation of the year, National Merit R&D Innovation of the year, and the Merit R&D award at the Asia Pacific ICT Alliance (APICTA) Awards, commonly known as the "Oscar" of the ICT industry in the Asia Pacific, among others.
Personal details
Positions
- Associate Professor
Faculty of Science,
School of Information Systems
Qualifications
- Doctor of Philosophy in Computer Science and Engineering (University of New South Wales)
Publications
Research outputs by year
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/sara.khalifa
Selected research projects
- Title
- ARC Research Hub in the Internet of Things for Water
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- IH240100014
- Start year
- 2025
- Keywords
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- Context-Aware Anomaly Detection in Time Series Data
PhD, Associate Supervisor
Other supervisors: Associate Professor Chun Ouyang - Sustainable Motion Sensing: Continuous Tracking with Energy-Harvesting Systems
PhD, Principal Supervisor
Other supervisors: Professor Raja Jurdak - Applying machine learning to predict user behaviour in virtual power plant (VPP) communities
PhD, Associate Supervisor
Other supervisors: Dr Kenan Degirmenci - A distributed and decentralized grid architecture for managing distribution networks
PhD, Associate Supervisor
Other supervisors: Professor Raja Jurdak, Dr Gowri Ramachandran, Dr Yuchen Zhang - Decentralised Learning Methods for Hierarchical Time Series Forecasting
PhD, Associate Supervisor
Other supervisors: Dr Mahdi Abolghasemi, Professor Raja Jurdak - Multi-Agent Reinforcement Learning for Battery Operation Optimisation
MPhil, Associate Supervisor
Other supervisors: Associate Professor Chun Ouyang
Supervision topics
The supervisions listed above are only a selection.