Imperial College London


Faculty of EngineeringDepartment of Computing

Reader in Human-Centred Systems



+44 (0)20 7594 2584h.haddadi Website




572Huxley BuildingSouth Kensington Campus





I am a Reader in Human-Centred Systems Department of Computing at Imperial College London. I also serve as a Security Science Fellow of the Institute for Security Science and Technology. In my industrial role, I am the Chief Scientist at Brave.

My research interest are in User-Centered Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction. I am part of Imperial-X initiative. I hold an EPSRC Open Fellowships (2022-2027).

Publications:   (Google Scholar)

Personal Page & Blog: 

Contact, BioCode


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 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.



Zhao Y, Barnaghi P, Haddadi H, 2022, Multimodal federated learning on IoT data, 2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI), IEEE

Varvello M, Katevas K, Plesa M, et al., 2022, BatteryLab: A collaborative platform for power monitoring, 23rd Annual International Passive and Active Measurement (PAM) Conference, Springer International Publishing AG, Pages:97-121, ISSN:0302-9743

Zhao Y, Afzal SS, Akbar W, et al., 2022, Towards battery-free machine learning and inference in underwater environments, HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, ACM, Pages:29-34

Thompson O, Mandalari AM, Haddadi H, 2021, Rapid IoT device identification at the edge, CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, ACM, Pages:22-28

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