World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12817
World Ranking
7037
National Ranking
426

Overview

Hamed Haddadi is affiliated with Imperial College London in the United Kingdom and has a substantial record of publications primarily within the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Computer Networks and Communications, Information Systems, Sociology and Political Science, and Signal Processing.

Their work addresses multiple topics, notably within privacy and security domains. These topics include Privacy-Preserving Technologies in Data, Internet Traffic Analysis and Secure E-voting, Privacy, Security, and Data Protection, Network Security and Intrusion Detection, Advanced Malware Detection Techniques, Cryptography and Data Security, as well as Human Mobility and Location-Based Analysis.

Frequent collaborators contribute to a significant portion of their research outputs. Notable coauthors include Anna Maria Mandalari, Daniel J. Dubois, David Choffnes, Roman Kolcun, and Yuchen Zhao. The collaboration with these researchers reflects ongoing work within areas linked to privacy technologies and network security.

The scientist has published extensively in various venues, with the highest number of papers appearing on arXiv (Cornell University). Other frequent publication venues include Proceedings on Privacy Enhancing Technologies, Zenodo (CERN European Organization for Nuclear Research), Journal of the American Medical Informatics Association, and the Proceedings of the International AAAI Conference on Web and Social Media.

Selected recent papers demonstrate the breadth of research interests and contributions:

  • Fetishizing Food in Digital Age: #foodporn Around the World, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • When Speakers Are All Ears: Characterizing Misactivations of IoT Smart Speakers, 2020, Proceedings on Privacy Enhancing Technologies
  • Blocking Without Breaking: Identification and Mitigation of Non-Essential IoT Traffic, 2021, DOAJ (DOAJ: Directory of Open Access Journals)
  • PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments, 2021, arXiv (Cornell University)
  • Human-data interaction, 2021, Queen Mary Research Online (Queen Mary University of London)

The main academic focus remains on integrating computer science methodologies with social and privacy concerns, particularly emphasizing technologies that preserve user data security and analyzing network behaviors in digital environments.

Best Publications

  • Measuring User Influence in Twitter: The Million Follower Fallacy

    Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi

  • Deep Learning in Mobile and Wireless Networking: A Survey

    Chaoyun Zhang;Paul Patras;Hamed Haddadi

  • Protecting Sensory Data against Sensitive Inferences

    Mohammad Malekzadeh;Richard G. Clegg;Andrea Cavallaro;Hamed Haddadi

  • Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach

    Jingjing Ren;Daniel J. Dubois;David Choffnes;Anna Maria Mandalari

  • A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

    Seyed Ali Osia;Ali Shahin Shamsabadi;Sina Sajadmanesh;Ali Taheri

  • Breaking for commercials: characterizing mobile advertising

    Narseo Vallina-Rodriguez;Jay Shah;Alessandro Finamore;Yan Grunenberger

  • Mobile sensor data anonymization

    Mohammad Malekzadeh;Richard G. Clegg;Andrea Cavallaro;Hamed Haddadi

  • The World of Connections and Information Flow in Twitter

    Meeyoung Cha;F. Benevenuto;H. Haddadi;K. Gummadi

  • PPFL: privacy-preserving federated learning with trusted execution environments

    Fan Mo;Hamed Haddadi;Kleomenis Katevas;Eduard Marin

  • Network topologies: inference, modeling, and generation

    H. Haddadi;M. Rio;G. Iannaccone;A. Moore

  • Fighting online click-fraud using bluff ads

    Hamed Haddadi

  • Human-Data Interaction: The Human Face of the Data-Driven Society

    Richard Mortier;Hamed Haddadi;Tristan Henderson;Derek McAuley

  • DarkneTZ: towards model privacy at the edge using trusted execution environments

    Fan Mo;Ali Shahin Shamsabadi;Kleomenis Katevas;Soteris Demetriou

  • Personal data: thinking inside the box

    Amir Chaudhry;Jon Crowcroft;Heidi Howard;Anil Madhavapeddy

  • #FoodPorn: Obesity Patterns in Culinary Interactions

    Yelena Mejova;Hamed Haddadi;Anastasios Noulas;Ingmar Weber

  • MobiAd: private and scalable mobile advertising

    Hamed Haddadi;Pan Hui;Ian Brown

  • Fetishizing Food in Digital Age: #foodporn Around the World

    Yelena Mejova;Sofiane Abbar;Hamed Haddadi

  • A first look at user activity on Tinder

    Gareth Tyson;Vasile C. Perta;Hamed Haddadi;Michael C. Seto

  • Weighted spectral distribution for internet topology analysis: theory and applications

    Damien Fay;Hamed Haddadi;Andrew Thomason;Andrew W. Moore

  • Serving ads from localhost for performance, privacy, and profit

    Saikat Guha;Alexey Reznichenko;Kevin Tang;Hamed Haddadi

  • Hidden link prediction based on node centrality and weak ties

    Haifeng Liu;Zheng Hu;Hamed Haddadi;Hui Tian

  • Building accountability into the Internet of Things: the IoT Databox model

    Andy Crabtree;Tom Lodge;James A. Colley;Chris Greenhalgh

  • Personal Data: Thinking Inside the Box

    Hamed Haddadi;Heidi Howard;Amir Chaudhry;Jon Crowcroft

Frequent Co-Authors

Richard Mortier
Richard Mortier University of Cambridge
Andrea Cavallaro
Andrea Cavallaro Queen Mary University of London
Steve Uhlig
Steve Uhlig Queen Mary University of London
Andy Crabtree
Andy Crabtree University of Nottingham
Jon Crowcroft
Jon Crowcroft University of Cambridge
David Choffnes
David Choffnes Northeastern University
Benjamin Livshits
Benjamin Livshits Imperial College London
Pan Hui
Pan Hui Hong Kong University of Science and Technology
Chris Greenhalgh
Chris Greenhalgh University of Nottingham
Emiliano De Cristofaro
Emiliano De Cristofaro University of California, Riverside

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