His main research concerns The Internet, Internet privacy, Online advertising, World Wide Web and Mobile device. His The Internet research is multidisciplinary, relying on both Computer security and Network topology. His studies deal with areas such as Click fraud, Contextual advertising and Embarrassment as well as Internet privacy.
His research integrates issues of Scalability, localhost and Click-through rate in his study of Online advertising. His World Wide Web research is multidisciplinary, incorporating elements of Information flow, Popularity and Mass media. His Mobile device study incorporates themes from Telecommunications, Android, Wireless network, Mobile search and User experience design.
Hamed Haddadi spends much of his time researching Internet privacy, World Wide Web, Computer security, Cloud computing and The Internet. He is interested in Information privacy, which is a field of Internet privacy. World Wide Web is connected with BitTorrent tracker and Tracking in his study.
His Cloud computing research incorporates themes from Information sensitivity, Enhanced Data Rates for GSM Evolution, Direct voice input and Robustness. His research integrates issues of Deep learning and Benchmark in his study of Information sensitivity. Hamed Haddadi focuses mostly in the field of The Internet, narrowing it down to topics relating to Network topology and, in certain cases, Distributed computing.
Inference, Service provider, Enhanced Data Rates for GSM Evolution, Identification and Cloud computing are his primary areas of study. His research in Inference intersects with topics in User interface, Raw data, User experience design, Human–computer interaction and Feature learning. Hamed Haddadi combines subjects such as Distributed computing, Edge device, Resource, Embedded system and Analytics with his study of Enhanced Data Rates for GSM Evolution.
His Cloud computing research incorporates themes from Private information retrieval, Precision and recall, Information retrieval, Deep learning and Information sensitivity. Hamed Haddadi works mostly in the field of Rendering, limiting it down to topics relating to Computer network and, in certain cases, Mobile device. His work carried out in the field of Software deployment brings together such families of science as Variety, Behavioral analytics, Real-time computing and Traffic analysis.
Hamed Haddadi focuses on Service provider, Artificial intelligence, Inference, Cloud computing and Feature learning. His Service provider study integrates concerns from other disciplines, such as Computer security, Scalability, Network analytics and Flow network. His is involved in several facets of Artificial intelligence study, as is seen by his studies on Deep learning and Activity recognition.
His Inference research incorporates elements of Edge device, State, Contextual image classification, Embedded system and Attack surface. Hamed Haddadi interconnects Exploit, Analytics, Distributed computing and Service in the investigation of issues within Cloud computing. His Analytics research integrates issues from Information sensitivity and Enhanced Data Rates for GSM Evolution.
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Measuring User Influence in Twitter: The Million Follower Fallacy
Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi.
international conference on weblogs and social media (2010)
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang;Paul Patras;Hamed Haddadi.
IEEE Communications Surveys and Tutorials (2019)
Breaking for commercials: characterizing mobile advertising
Narseo Vallina-Rodriguez;Jay Shah;Alessandro Finamore;Yan Grunenberger.
internet measurement conference (2012)
Network topologies: inference, modeling, and generation
H. Haddadi;M. Rio;G. Iannaccone;A. Moore.
IEEE Communications Surveys and Tutorials (2008)
The World of Connections and Information Flow in Twitter
Meeyoung Cha;F. Benevenuto;H. Haddadi;K. Gummadi.
systems man and cybernetics (2012)
Fighting online click-fraud using bluff ads
acm special interest group on data communication (2010)
MobiAd: private and scalable mobile advertising
Hamed Haddadi;Pan Hui;Ian Brown.
mobility in the evolving internet architecture (2010)
Selfish-herd behaviour of sheep under threat
Andrew J. King;Alan M. Wilson;Simon D. Wilshin;John Lowe.
Current Biology (2012)
Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
Jingjing Ren;Daniel J. Dubois;David Choffnes;Anna Maria Mandalari.
internet measurement conference (2019)
#FoodPorn: Obesity Patterns in Culinary Interactions
Yelena Mejova;Hamed Haddadi;Anastasios Noulas;Ingmar Weber.
international conference on digital health (2015)
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