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Kleomenis Katevas

ML Researcher at Brave (hiring)

Kleomenis Katevas is a Machine Learning Researcher based in London, UK, currently working at Brave Software.

With a Ph.D. in Computer Science from Queen Mary University of London, his research interests include Privacy-Preserving Machine Learning, Mobile Systems, and Human-Computer Interaction.

His doctoral thesis focused on 'Analysing Crowd Behaviours using Mobile Sensing,' applying machine learning techniques to mobile sensor data for understanding crowd behavior at planned events.

Kleomenis Katevas also holds an M.Sc. in Software Engineering from the same university and a BSc in Informatics Engineer of Technological Education from Technologiko Ekpaideutiko Idrima, Thessalonikis.

He has a diverse professional background having worked at reputable organizations such as Telefonica Research in Barcelona, the Dyson School of Design Engineering at Imperial College London, and at Philips Healthcare in Germany.

Kleomenis Katevas is the author of SensingKit, an open-source mobile sensing framework for iOS and Android platforms.

He has also held roles like Research Associate, Research Assistant, R&D Engineer, and Co-Founder & CTO at various institutions including Queen Mary University of London.

His expertise spans across Machine Learning, Mobile Systems, Privacy-Preserving ML, Human-Computer Interaction, Robotics, and Human-Robot Interaction.

Kleomenis Katevas
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Location

London, England, United Kingdom