Systems and Algorithms Laboratory (SysAL)
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 a fully funded PhD Studentship in Designing Cyber-Physical Systems for UK/EU students. Apply by 30th September 2018.
August 2018: We are looking for a Chair or Reader with Expertise in an area relevant to Cyber Physical Systems Design. See the job advert and apply by 9th September.
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 Interactionhas 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.
Dec 2017: We have received a Microsoft Azure Research Award to support our Machine Learning research for the Databox project.
- EPSRC Databox: Privacy-Aware Infrastructure for Managing Personal Data (EP/N028260/1 £1,238,585 starting October 2016)
- Microsoft Azure Research Award 2017-2018 (CRM:0740917)
- Human-Data Interaction, Legibility, Agency, Negotiability: EPSRC Network Plus grant (EP/R045178/1, £1,040,837 starting July 2018)
- EPSRC DADA: Defence Against Dark Artefacts (EP/R03351X/1, £1,011,787 starting July 2018)