Hamed Haddadi

I am a Reader in Human-Centred Systems and the Director of Postgraduate Studies at the Dyson School of Design Engineering, at the Faculty of Engineering 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.

Contact, Bio, Calendar, Code

My research interests are in User-Centred Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction. At Imperial College, I lead the Systems and Algorithms Laboratory (SysAL). I am a Core member of the Machine Learning Initiative at Imperial, an Academic Fellow of the Data Science Institute and an Associate member of the Academic Centre of Excellence in Cyber Security Research.

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 always keen to support exceptional candidates for the Imperial College Research Fellowships, the Imperial President’s PhD Scholarships, China Scholarship Council, the Islamic Development Bank – Imperial College Scholarship, UKRI AI for Healthcare CDT, the London Interdisciplinary Social Science Doctoral Training Partnership (LISS DTP), and various other UK and International Scholarships and Centres for Doctoral Training in Imperial College London.

At the Systems and Algorithms Laboratory (SysAL), we also supoort exceptional candidates for EU Individual Fellowships (IF) and UKRI EPSRC Postdoctoral and Open Fellowships. Please get in touch to discuss these, sending me any relevant material, information, and a potential proposal idea.


I will be joining the Department of Computing at Imperial College London, and the new Imperial-X Initiative, from July 2022. Looking forward to the new opportunities and collaborations ahead.

May 2022: Our paper “Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites” has been conditionally accepted to PETS 2022.

April 2022: We have been awarded an Amazon Research Awards (ARA) for our work on Auditable Model Privacy using TEEs linked to my EPSRC Fellowship. This gift will be used towards hiring a PhD student. Ad will be coming out soon.

March 2022: We have been awarded an InnovateUK Cyber Security Academic Startup Accelerator Programme (CyberASAP) grant, supporting our efforts to accelerate IoT Security in IoTrim.

January 2022: We have been awarded a grant as part of the PETRAS’ ISPEF funding call. Project PRISM aims to provide a simple interface for monitoring and home care solutions in the the health sector.

December 2021: Our paper “Towards Battery-Free Machine Learning and Inference in Underwater Environments” with Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle and Fadel Adib has been accepted to (ACM HotMobile 2022). Congrats both teams at MIT and Imperial.

December 2021: Our paper “Re-architecting Traffic Analysis with Neural Network Interface Cards” has been accepted to the USENIX Symposium on Networked Systems Design and Implementation (NSDI’22) (Earlier version available on ArXiv). Congrats Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Gianni Antichi, Paolo Costa, and Roberto Bifulco.

December 2021: I have been invited to join the EPSRC Peer Review Associate College.

November 2021: I am really excited to announce that I have been selected for an EPSRC Open Fellowship (Plus) 2022-2027 with a funding of around £2m from the UKRI, the industry, and Imperial College London. I will be hiring a researcher, an engineer, and Phd students as part of the fellowship team, contact me directly if interested. The advert for PhD Scholarships is available here.

November 2021: Our new book “Privacy by Design for the Internet of Things: Building accountability and security”, has been published by The IET.

October 2021: I will be serving as the Chief Scientist at Brave.

August 2021: Our IoT Privacy/Security team, led by Anna Maria Mandalari, Daniel J. Dubois, and David Choffnes, has made it to the The TOP 5 finalists of the first Telekom Challenge Telekom Challenge edition for IoTrim. Read the Press Release for more details.

June 2021: We won the Best Paper Award at ACM MobiSys 2021. Check out PPFL code and data, Video.

May 2021: Our team, led by Anna Maria Mandalari, Daniel J. Dubois, and David Choffnes, has won one of the TOP 10 spots in the Telekom Challenge Development Stream. We are receiving a generous gift to develop IoTrim. Stay tuned for more news!

May 2021: Our paper “Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffi” with Anna Maria Mandalari, Daniel J. Dubois, Roman Kolcun, Muhammad Talha Paracha, and David Choffnes” had been accepted to the 21st Privacy Enhancing Technologies Symposium (PETS 2021). Congrats all! (Paper and code available on IoTrim, Consumer Reports coverage) )

March 2021: Our paper “PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments{:target=”_blank”” with Fan Mo, Kleomenis Katevas, Eduard Marin, Diego Perino, and Nicolas Kourtellis has been accepted to The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2021), Congratulations Fan!

January 2021: I’ll be the TPC co-Chair for TMA 2021. Please consider submitting your fine network/systems papers.

January 2021: Dr Mohammad Malekzadeh has passed his PhD viva. Congrats Mohammad.

December 2020: I deliverd the Keynote talk at ACM CoNext 2020, titled “Towards ‘trustworthy-by-design’ networked systems”. Video

November 2020: Xavier Cadet joins us as a new PhD student interested in Artificial Intelligence for Health, funded by the UKRI CDT in AI for Healthcare.

October 2020: I was interviewed by Privacy Collective on online privacy and the case of Amazon. Read the full report here.

September 2020: I took part in preparing the Government Office for Science’s report on the Future of Citizen Data Systems, published alongside the National Data Strategy consultation.

September 2020: Our paper “Privacy-preserving Voice Analysis via Disentangled Representations” with Ranya Aloufi and David Boyle has been accepted to The ACM Cloud Computing Security Workshop (CCSW 2020), in conjunction with the ACM Conference on Computer and Communications Security (CCS) 2020.

August 2020: Our paper “A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild” with Said Jawad Saidi, Anna Maria Mandalari, Roman Kolcun, Daniel J. Dubois, David Choffnes, Georgios Smaragdakis, Anja Feldmann, has been accepted to the ACM Internet Measurement Conference 2020, Presentation in RIPE.

June 2020: I have been promoted! From September 2020 I will be a Reader in Human-Centred Systems at Imperial! Many thanks to all the amazing students, collaborators, and colleagues!

June 2020: Our ICWSM 2010 paper “Measuring User Influence in Twitter: The Million Follower Fallacy” has won the ICWSM 2020 Test of Time Award. Congratulations to my amazing co-authors: Meeyoung Cha, Fabricio Benevenuto, Krishna Gummadi.

May 2020: Our paper “When Speakers Are All Ears: Characterizing Misactivations of IoT Smart Speakers” with Daniel J. Dubois, Roman Kolcun, Anna Maria Mandalari, Muhammad Talha Paracha, and David Choffnes has been accepted to the 20th Privacy Enhancing Technologies Symposium (PETS 2020), July 14–18, 2020. (paper, Webpage with code and dataset, NYTimes, The Independent, and USA Today, BBC Panorama program Youtube Link, BBC News, Channel 4 The Truth About Amazon, NYT lead editorial, Vox, ZDNet, Telegraph, Gizmodo, GeekWire, Forbes, BusinessInsider)

April 2020: Our joint research on security and privacy of smart speakers with friends from Northeastern University was part of the Channel 4 documentary The Truth About Amazon and is featured on the NYT lead editorial.

March 2020: Our paper “DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments”, with Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, and Andrea Cavallaro has been accepted to 18th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2020) June 2020, Toronto, Canada. Congrats Fan! Paper Code

February 2020: Our research on security and privacy of Amazon devices is featured on BBC Panorama program (Youtube Link, BBC News)

February 2020: Our joint research with Northeastern University team on security and privacy risks of smart speakers has appeared on NYTimes, The Independent, and USA Today (full report).

January 2020: Our research on security and privacy risks of smart speakers has appeared on Which.

January 2020: Eman Maali joins at Imperial SysAL as a PhD student. Welcome Eman!

January 2020: Our paper “Privacy-Preserving Bandits” has been acccepted to the Third Conference on Machine Learning and Systems (MLSys 2020). Congratulations Mohammad.

Extended Biography

I studied for my PhD between Oct 2004-Oct 2008, investigating the Topological Characteristics of IP Networks, which I successfully defended on 31st October 2008. My examiners were George Pavlou and Christos Gkantsidis. I carried out my thesis research jointly between two great labs, the NetOS Group, Computer Laboratory, Cambridge University (userid: hh318), and Networks and Services Research Laboratory Group, UCL (supervised by: Miguel Rio, Andrew Moore , Richard Mortier)

I was also a scholar at London Business School, under the UCL CSEL sponsorship programme, attending MBA electives.

My MPhil (transfer) Thesis investigated Network Traffic Inference Using Sampled Statistics [pdf].
In 2004 I completed the MSc in Telecommunication Engineering with distinction. I was sponsored by EPSRC, Project: kOS “kind of Operating System” (report). This work had contributions to technology spin-out Senceive.

Between 1999-2003 I studied for the BEng (Hons) Electronic & Electrical Engineering at UCL. My 2nd & final year were sponsored by Sony Europe. For my final year project I built a stand-alone RDS Encoder (report).

Before that, I studied for A-Levels at William Morris Academy.

MISC: My Erdos Number is 3: Hamed Haddadi > Andrew G. Thomason -> Fan Chung -> Paul Erdos

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