Imperial College London

DrHamedHaddadi

Faculty of EngineeringDyson School of Design Engineering

Senior Lecturer
 
 
 
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Contact

 

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

 
 
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Location

 

Dyson BuildingSouth Kensington Campus

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Summary

 

Summary

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 LondonI am also a Visiting Professor at Brave.


My research interest are in User-Centered Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction. I lead the Systems and Algorithms Laboratory (SysAl). I am also an Academic Fellow of the Data Science Institute.


Contact, Bio, Calendar, Code


Publications: https://haddadi.github.io/publications/   (Google Scholar)

Main Page & Blog: https://haddadi.github.io/ 

News

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.

Publications

Journals

Moore J, Arcia-Moret A, Yadav P, et al., 2019, Zest: REST over ZeroMQ, 2019 Ieee International Conference on Pervasive Computing and Communications Workshops (percom Workshops), ISSN:2474-2503, Pages:1015-1019

Osia SA, Taheri A, Shamsabadi AS, et al., Deep Private-Feature Extraction, Ieee Transactions on Knowledge and Data Engineering, ISSN:1041-4347

Servia-Rodriguez S, Wang L, Zhao JR, et al., 2018, Privacy-preserving personal model training, Proceedings - Acm/ieee International Conference on Internet of Things Design and Implementation, Iotdi 2018, Pages:153-164

Osia SA, Shamsabadi AS, Taheri A, et al., 2018, Private and scalable personal data analytics using hybrid edge-to-cloud deep learning, Computer, Vol:51, ISSN:0018-9162, Pages:42-49

Conference

Malekzadeh M, Clegg RG, Cavallaro A, et al., Mobile Sensor Data Anonymization, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI 2019)

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