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 a Visiting Professor 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.


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 20201: 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.

December 2019: Our paper “A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics” has been accepted to IEEE Internet of Things Journal, 2020. (paper, Code)

November 2019: Minos and Ranya have won the Best Demo and the Best Poster awards respectively at ACM SenSys 2019. Congratulations both!

October 2019: Yuchen Zhao joins us as a postdoctoral researcher on the UK DRI Care Research & Technology programme.

September 2019: Our paper “BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices” has been accepted to Eighteenth ACM Workshop on Hot Topics in Networks (HotNets 2019) (Paper Available on ArXiv).

Septempber 2019: I participated in preperaing the government’s Centre for Data Ethics and Innovation first series of three snapshot papers on ethical issues in AI including Smart Speakers and Voice Assistants.

August 2019: At Brave, we have released Privacy-Preserving Product Analytics (P3A). Exciting to see our platform ship to millions of users worldwide this year.

August 2019: Ranya’s paper “Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants”, appearing in ACM CCS 2019 Privacy Preserving Machine Learning workshop, has been covered in articles on Vice and Medium.

July 2019: Our study of IoT devices, “Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach” has been accepted to ACM Internet Measurement Conference (IMC 2019) (Community Contribution Award). (paper and code and dataset, Financial Times article, The Times article, Vice article, Ars Technica)

July 2019: We are Building Systems for Privacy-Preserving Data Analytics, Machine Learning, and behavioural interaction systems, as part of the newly funded £20M new Care Research & Technology Centre at Imperial College. Read about it here on the FT: How smart tech is helping people with dementia

June 2019: The first evolution of Databox Project is released as the BBC Box. We are really excited about this development and its potential to improve individuals’ privacy. This is part of the Personal Data Stewardship project at the BBC R&D. (Also on BBC News, Gizmodo )

May 2019: Our research on IoT privacy and security is featured in the BBC and BBC Click program on GDPR Anniversary (YouTube link).

April 2019: Congratulations to Katrin Hänsel for having passed her PhD viva!

March 2019: Our paper “Deep Learning in Mobile and Wireless Networking: A Survey”, has been accepted to appear in IEEE Communications Surveys & Tutorials. (Paper Available on ArXiv)

Jan 2019: We are part of the new £20m UK DRI Care Research & Technology programme, developing privacy-preserving technologies for demantia patients over the next six years. Job ads will be out soon!

Jan 2019: Our paper “Mobile Sensor Data Anonymization” has been accepted to ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI 2019). Congratulations Mohammad!

Jan 2019: Ranya Aloufi joins us at Imperial SysAL as a PhD student. Welcome Ranya!

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