Imperial College London
Networks and Systems Lab
Faculty
Hamed Haddadi
Hamed is a Professor of 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
Jon Crowcroft FRS
Jon is a Visiting Professor at IX and the Department of Computing at Imperial College London. He has worked in the area of internet support for multimedia communications for over 40 years. He is a Fellow the Royal Society, a Fellow of the ACM, a Fellow of the British Computer Society, a Fellow of the IET and the Royal Academy of Engineering and a Fellow of the IEEE. He enjoys teaching, and has published several books based on learning materials.
Ph.D. in Computing, UCL, 1993
MSc in Computing, UCL, 1981
Physics from Trinity College, University of Cambridge, 1979
Email: j.crowcroft@imperial.ac.uk
Address: I-X, Translation & Innovation Hub Building, White City Campus
Research Staff
Javad Forough
Javad is a Postdoctoral Researcher at Imperial College London and a member of the Network and Systems Lab, under the supervision of Prof. Hamed Haddadi. His work focuses on secure and private deployment of machine-learning (ML) models on edge devices. His research explores solutions to challenges in model privacy and auditability, aiming to ensure that proprietary ML models remain protected and operate in compliance with user agreements.
Amir Al Sadi
Amir is a Research Assistant in User-Centred Systems’ Security/Privacy and part of the NetSys Group at the Department of Computing of Imperial College London under the supervision of Professor Hamed Haddadi. His research interests covers the intersection between security and systems.
Zhonghao Zhan
Zhonghao is a Research Assistant on the Graph Neural Networks (GNNs) EU project and a Ph.D. student at the NetSys Lab, Imperial-X (White City), under the supervision of Prof. Hamed Haddadi. Before joining NetSys, he obtained his master’s degree in Computer Science from Cornell University and has three years of experience working as a software engineer at Amazon’s Seattle HQ. His current research interests include GNN models and their applications.
Graduate Students
Josh Millar
Josh is a PhD student based at the Networks and Systems Lab at Imperial-X (White City) and the Energy Futures Lab supervised by Hamed Haddadi and David Boyle. His current research interests include energy-aware ML (+ battery-free sensing), applied ML for sustainability, and near-term forecasting (i.e. "nowcasting")
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 of the next generation of IoT consumer devices.
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.
Alumni
Sandra Siby
Sandra joined New York University, Abu Dhabi (NYUAD) as a tenure-track professor of Computer Engineering in Fall 2024. Before that she was 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.
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.
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.
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.