Associate ProfessorKanchana Thilakarathna

Associate Professor in Distributed Computing

Faculty of Engineering

RESEARCH INTERESTs

While the majority of us now carry at least one smart mobile device with us every day, few of us are fully aware of the cost of this convenience in terms of exposing our personal information to third parties. Dr Kanchana Thilakarathna’s research aims to improve our security and privacy in this regard.

“Smart devices – such as smartphones, tablets, smartwatches and other wearables – have literally changed human lifestyles, providing endless innovative services in every aspect of our life. I am passionate about their ever-growing capabilities to take human experience far beyond expectations.

“But while we enjoy many of these services ‘for free’, they come at the cost of these devices having the ability to continuously monitor, store and transmit sensitive personal information to third parties, such as service providers.

“Most users are unaware of exactly what information service providers are collecting about them, and the majority of providers currently gather information without properly informing users or giving them an alternative.

“It is technically challenging to provide secure, private and efficient services on top of these resource-constrained devices, especially with limited battery life and without negatively impacting the cost or usability of these services.

“My research aims to develop distributed computing platforms that exploit the computational, storage and energy resources available on and around the personal area to provide safe, secure, private, useful and efficient services to mobile users.

“One example of my work is a social media app I developed called Yalut, which enables users to retain control over their own photos, videos and other content. Users keep their content on their own devices and, when they choose to share some of it with online friends – whether through Yalut or an existing social media platform – it is uploaded directly to their friends’ devices, so that it is now only on their own and their friends’ devices.

“My aim is to develop mobile apps such as these and make them available to everyone.

“I’ve been working in this field since 2010, and joined the University of Sydney in 2017.”

FUNDED RESEARCH

  • GRANT
    Understanding Deep Learning-based Radio Frequency Fingerprinting
    US Office of Naval Research (USA)7 Jul 2025
    People funded by this grant:
  • GRANT
    ClearSight: LLM Agent Assisted Network Discovery and Mapping Under Partial Network Visibility (DIN SII)
    NSW Department of Industry1 Jan 2025
    People funded by this grant:
  • GRANT
    ARC Research Hub for Future Digital Manufacturing
    Australian Research Council (ARC)5 Sep 2024 - 6 Sep 2029
    People funded by this grant:
  • GRANT
    ARC Research Hub for Future Digital Manufacturing project agreement 2.1 with Innolabs
    Australian Research Council (ARC)5 Sep 2024
    People funded by this grant:
  • GRANT
    Edge AI in Multiple UAVs for ISR and Communications
    NSW Department of Industry8 Jan 2024
    People funded by this grant:
  • GRANT
    Resilient and Secure Edge Computing for Untrusted Distributed Systems
    Office of National Intelligence1 Jan 2022
    People funded by this grant:
  • GRANT
    User-centric 3D Spatial Data Sharing in Metaverse
    Facebook Research (USA)1 Jan 2022
    People funded by this grant:
  • GRANT
    Resilient and Trustworthy Edge Computing (DIN project)
    NSW Department of Industry1 Sep 2021
    People funded by this grant:
  • GRANT
    Unravelling the Nascent Privacy Risks of 3D Spatial Mixed Reality Data
    Facebook Research (USA)1 Jan 2020
    People funded by this grant:
  • GRANT
    Understanding the Threat Landscape for IoT in Australia
    NSW Department of Industry1 Jul 2018
    People funded by this grant:
  • GRANT
    Multimodal Neural Embeddings for Detecting Counterfeit Apps
    Google LLC1 May 2018
    People funded by this grant: