People

Current D.Phil. students

• Jesse Wright (2023-): Trust in decentralised systems

• Zhilin Zhang (2022-): Decentralised AI systems

Current UG students:

• R. Chatterjee (2023-24): User Interface for supporting users’ data autonomy in a fitness tracking application

• E. Folta (2023-24): User Interface for Data Terms of Use

Visiting students

• Y. Zhu (2023-2024): AI for children

• L. Kyi (2023): Gig worker

Past D.Phil students:

• G. Wang (2019-2024): Algorithmic kids

• A. Ekambaranathan (2019-2023): Responsible design for children's app developers

Past M.Phil (M.sc) students:

• X. Feng (2016): Privacy-Preserving Personal Information Environments

• T. Zakrzewski (2017): Using Machine Learning to Predict Social Media Post Performance (jointly with Prof. Kanade, V.)

• J. Sturgess(2017): A Capability-oriented Model to Evaluate Privacy Risk in Smart Home Ecosystems (jointly with Dr Nurse, J.)

• J. Pavur, J (2018): Privacy-Sensitive Data Exfiltration Detection in Home Networks

• M. Quinlan, M (2018): Connected Cars: What kind of data can we expect an OEM to collect? 

• A. Ekambaranathan (2019): Design choices of app developers for safeguarding children’s safety

• E. Chaumat (2020): Explanations in automated hiring systems

Past UG students:

• L. Sowden (2022-23): YouTube and kids

• S. Saul (2021-22): Children, Well-Being, and Apps

• D. Hillier (2021-22): Explainability and human robot dialogue

• J. Rienecker (2020): Can explanations improve fairness in job recommendation systems 

• E. Farauanu (2020): Crowdsourcing Privacy Data for Android Apps

• N. Natarajan (2020): Algorithmic Explanations