I am a Senior Lecturer (~Associate Professor) and the Deputy Director of Research in the Dyson School of Design Engineering, at The Faculty of Engineering at Imperial College London. I am also a Visiting Professor at Brave.
My research interest are in User-Centered Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction. At Imperial College, I lead the Systems and Algorithms Laboratory (SysAl). I am also an Academic Fellow of the Data Science Institute as a member of the Algorithmic Society Lab. As part of the Institute for Security Science and Technology (ISST), I am an Associate member of the Academic Centre of Excellence in Cyber Security Research.
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 currently looking for exceptional candidates for the Imperial College Research Fellowships, the Imperial President’s PhD Scholarships, China Scholarship Council, the Islamic Development Bank – Imperial College Scholarship, the London Interdisciplinary Social Science Doctoral Training Partnership (LISS DTP), and various Centres for Doctoral Training in Imperial College London.
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!
December 2018: Our article “Decentralised AI has the potential to upend the online economy” has been published in Wired.
December 2018: Databox Project has been featured as a case study at the Royal Academy of Engineering report “Towards trusted data sharing: guidance and case studies”.
October 2018: Our paper “Deep Private-Feature Extraction” has been accepted to IEEE Transactions on Knowledge and Data Engineering.
August 2018: We have received a generous grant from Huawei Technologies. Stay Tuned for the job advert!
March 2018: Our EPSRC Digital Economy NetworkPlus grant on Human-Data Interaction has been funded! Watch out for announcements regarding events and calls for projects in this space. (EPSRC Ref, Press Release)
Feb 2018: Our paper “Private and Scalable Personal Data Analytics using a Hybrid Edge-Cloud Deep Learning” with Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, and Hamid R. Rabiee has been accepted to the IEEE Computer Magazine Special Issue on Mobile and Embedded Deep Learning.
Jan 2018: Two papers on privacy in IoT applications have been accepted to the ACM/IEEE International Conference on Internet-of-Things Design and Implementation 2018. See publications’ page for details.