Networks and Systems Lab

Hamed Haddadi

Hamed is a Reader in Human-Centred Systems at the Department of Computing at Imperial College London. He also serves as a Security Science Fellow of the Institute for Security Science and Technology. In his industrial role, he is the Chief Scientist at Brave Software where he works on developing privacy-preserving analytics protocols. He is interested in User-Centred Systems, IoT, Applied Machine Learning, and Data Security & Privacy. He enjoys designing and building systems that enable better use of our digital footprint, while respecting users' privacy.

Ph.D. in Computer Networks, UCL, 2008
MSc. in Telecommunication Engineering, UCL, 2004
BEng (Hons) Electronic & Electrical Engineering, UCL, 2003

Email: h.haddadi@imperial.ac.uk

Address: I-X, Translation & Innovation Hub Building, White City Campus

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Sina Abdollahi

Sina is a PhD student at Imperial College London working under supervision of Dr. Hamed Haddadi and Dr. Mario Kogias. As a member of NetSys Lab, he is looking for efficient, scalable, and trustworthy architectures for the next generation of IoT consumer devices.

Mohamad Maheri

Mohamad Maheri is a Ph.D. student working under supervision of Dr. Hamed Haddadi and Dr. Mario Kogias. He is a member of NetSys Lab, exploring and developing edge device architectures that are both efficient and trustworthy to meet the demands o the next generation of IoT consumer devices.

Hugo Dugdale

Hugo is a Ph.D. student enrolled on the AI4Health Course for Doctoral Training (CDT), working under the supervision of Dr Hamed Haddadi with Imperial-X (I-X) and Prof. Payam Barnaghi with the UK DRI Care and Research Technology Centre (UK DRI CRT).

Yushan Huang

Yushan is a Ph.D. candidate at Imperial College London, funded by the CSC Scholarship. He completed his master degree in Mechanical Engineering at Huazhong University of Science and Technology, and bachelor degree in Mechanical Engineering at Shandong University. His research interests mainly include machine learning and deep learning applications.

Mengjia Niu

Mengjia is a Ph.D. candidate at Imperial College London, funded by the CSC Scholarship. Her research interests mainly include IoT, Human-Data Interaction and Machine Learning.

Xavier Cadet

Xavier is Ph.D. Student in the UKRI CDT in AI for Healthcare, working under the supervision of Dr. Hamed Haddadi and Dr. Sara Ahmadi Abhari. His research interests are in Artificial Intelligence applied to omics and neuroimaging data to identify upstream biological mechanisms leading to Alzheimer’s disease and dementia.

Sandra Siby

Sandra is a PostDoctoral Research Associate on the UKRI OpenPlus Fellowship. Her research interests are mainly in the areas of network security, web security, and privacy. The overarching theme of her research is to understand what we can learn from analysing meta-data, in the context of security and privacy.

Vadim Safronov

Vadim is a Research Assistant on the InnovateUK Cyber Security Academic Startup Accelerator Programme (CyberASAP) grant and a PhD Candidate in the Department of Computer Science and Technology, at the University of Cambridge. His current research is focused on developing reliable, standardised and secure smart environments and lies at the intersection of Internet-of-Things (IoT) systems, Artificial Intelligence (AI), Cyber Security and Network Architectures in general.

Anna Maria Mandalari

Anna is an Assistant Professor at University College London (UCL). She is affiliated with the Electronic & Electrical Engineering Department and member of the UCL’s Academic Center of Excellence in Cyber Security Research (ACE-CSR). She is an Honorary Research Fellow at the Institute for Security Science and Technology at Imperial College London. She was previously a Postdoctoral Research Associate and consequently a Research Fellow at Imperial NetSys.