School of Computing

Nov 9, 2018
14:00 - 15:00
User-Centric Personal Data Analytics on the Edge
School of Computing - Security Group Seminar
Speaker: Dr Hamed Haddadi (Senior Lecturer, Dyson School of Design Engineering, Imperial College London)


In this talk, I present our ongoing work on utilising edge-computing to improve the scalability and privacy of user-centred analytics in the context of personal/IoT data. I present an architecture where devices and resources centred around the user, collectively referred to as the edge, can complement the cloud for providing privacy-aware, yet accurate and efficient analytics. I then present the evaluations of the proposed framework for applying privacy-preserving deep learning techniques on a number of exemplar applications, and discuss the broader implications of such approaches for future systems such as the Databox platform.


Hamed is a Senior Lecturer and the Deputy Director of Research in the Dyson School of Design Engineering, and an Academic Fellow of the Data Science Institute, at The Faculty of Engineering at Imperial College London. He is also a Visiting Professor at Brave. He is interested in User-Centred Systems, IoT, Applied Machine Learning, and Data Security & Privacy. He enjoys designing and building systems that enable better use of our digital footprint, while respecting users' privacy. He is also broadly interested in sensing applications and Human-Data Interaction.


Cornwallis South West,
University of Kent,
United Kingdom


Open to everyone, especially those interested in security research,


Contact: Jason R.C. Nurse

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 14/08/2015