Hamed Haddadi

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.

Contact, Bio, Calendar, Code

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.

News

October 2018: Our paper “Deep Private-Feature Extraction” has been accepted to IEEE Transactions on Knowledge and Data Engineering.

October 2018: Fan Mo and Yuting Zhan have started their PhD research with us in Imperial SysAL. Welcome to the team!

September 2018: I am joining the team at Brave as a Visiting Professor on a part-time basis. Join us to make the web private and secure again!

August 2018: We are looking for a Postdoctoral Research Associate on the EPSRC DADA Project to join our lab. 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 TIPS2 grant on Defense Against Dark Artefacts, to battle IoT security & Privacy threats using edge computing, has been funded. (EPSRC Ref, Press Release)

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.

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.

Contact me

h.haddadi@imperial.ac.uk