My research interests are in User-Centred Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction. At Imperial College, I lead the Systems and Algorithms Laboratory (SysAL). I am a Core member of the Machine Learning Initiative at Imperial, an Academic Fellow of the Data Science Institute and an Associate member of the Academic Centre of Excellence in Cyber Security Research.
PhD Scholarship: We currently have a fully-funded PhD studentship (fees and stipend) in the intersection of machine learning and cyber-physical systems (sensing, privacy, and IoT) for UK/EU students. Please see the advert an get in touch if interested
I am keen to hear from strong students interested in doing their masters project or PhD research with me, or postdoctoral fellows interested in being hosted at Imperial College London. Please get in touch!
We are always keen to support exceptional candidates for the Imperial College Research Fellowships, the Imperial President’s PhD Scholarships, China Scholarship Council, the Islamic Development Bank – Imperial College Scholarship, UKRI AI for Healthcare CDT, the London Interdisciplinary Social Science Doctoral Training Partnership (LISS DTP), and various other UK and International Scholarships and Centres for Doctoral Training in Imperial College London.
November 2019: Minos and Ranya have won the Best Demo and the Best Poster awards respectively at ACM SenSys 2019. Congratulations both!
September 2019: Our paper “BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices” has been accepted to Eighteenth ACM Workshop on Hot Topics in Networks (HotNets 2019) (Paper Available on ArXiv).
Septempber 2019: I participated in preperaing the government’s Centre for Data Ethics and Innovation first series of three snapshot papers on ethical issues in AI including Smart Speakers and Voice Assistants.
August 2019: At Brave, we have released Privacy-Preserving Product Analytics (P3A). Exciting to see our platform ship to millions of users worldwide this year.
August 2019: Ranya’s paper “Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants”, appearing in ACM CCS 2019 Privacy Preserving Machine Learning workshop, has been covered in articles on Vice and Medium.
July 2019: Our study of IoT devices, “Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach” has been accepted to ACM Internet Measurement Conference (IMC 2019) (Community Contribution Award). (paper and code and dataset, Financial Times article, The Times article, Vice article, Ars Technica)
July 2019: We are Building Systems for Privacy-Preserving Data Analytics, Machine Learning, and behavioural interaction systems, as part of the newly funded £20M new Care Research & Technology Centre at Imperial College. Read about it here on the FT: How smart tech is helping people with dementia
June 2019: The first evolution of Databox Project is released as the BBC Box. We are really excited about this development and its potential to improve individuals’ privacy. This is part of the Personal Data Stewardship project at the BBC R&D. (Also on BBC News, Gizmodo )
April 2019: Congratulations to Katrin Hänsel for having passed her PhD viva!
March 2019: Our paper “Deep Learning in Mobile and Wireless Networking: A Survey”, has been accepted to appear in IEEE Communications Surveys & Tutorials. (Paper Available on ArXiv)
Jan 2019: We are part of the new £20m UK DRI Care Research & Technology programme, developing privacy-preserving technologies for demantia patients over the next six years. Job ads will be out soon!