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Nicolas Kourtellis

Research Scientist at Telefonica Research in Barcelona.
Participates in 1 Session

Nicolas Kourtellis holds a PhD in Computer Science & Engineering from the University of South Florida, USA (2012). He has done research @Yahoo Labs, USA and @Telefonica Research, Spain, on online user privacy and behavior modeling, Internet measurements and distributed systems, with 70+ published peer-reviewed papers. Lately, he focuses on CyberPrivacy (Privacy-preserving Machine Learning (ML) and Federated Learning on the edge, user online privacy and PII leaks), etc.) and CyberSafety (modeling and detecting abusive, inappropriate or fraudulent content on social media using data mining and ML methods, and how they can be applied on the edge on user-owned or network devices). He has served in many technical program committees of top conferences and journals (e.g., WWW, KDD, CIKM, ECML-PKDD, TKDD, TKDE, TPDS, etc.), and presented his work in top academic and industrial venues such as The Web Conference (WWW), Apache BigData Europe and North America, and Mobile World Congress Barcelona.

Sessions in which Nicolas Kourtellis participates

Tuesday 31 August, 2021

Time Zone: (GMT+01:00) Brussels
3:15 PM
3:15 PM - 4:15 PM | 1 hour

Massive growth of devices and systems connected to the Internet raises technology and policy challenges on a new scale. With an ever more heterogeneous and complex environment of IoT, these connected objects generate large data volumes. This massive data feeds the data economy and opens up new business opportunities. Currently, the majority of IoT revenues are based on cloud-based services as a dominant economic model for IoT business models. Will it be the case in the next decade?T...