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 lead the Systems and Algorithms Design Laboratory (SysAl). I am also an Academic Fellow of the Data Science Institute.
My research interest are in User-Centered Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction.
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 President’s PhD Scholarships, 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.
March 2018: Our EPSRC TIPS2 grant on Defense Against Dark Artefacts, to battle IoT security & Privacy threats using edge computing, has been funded.
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: We are hiring a Research Associate on Data mining, Analytics, Privacy Protocols and Machine Learning on the Databox Project at Imperial College London (Fixed Term for 14 months, closes 19th Feb 2018).
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.
Dec 2017: We have received a Microsoft Azure Research Award to support our Machine Learning research for the Databox project.
Dec 2017: Katrin Hänsel’s paper has been accepted to ACM CHI 2018! Congrats Katrin.