Kleomenis Katevas

About me

I am a Machine Learning Researcher at Brave.

My research interests lie in the areas of Privacy-Preserving Machine Learning, Mobile Systems and Human-Computer Interaction. In the past, I have also been interested in Robotics (Human-Robot Interaction).

I hold a Ph.D. in Computer Science from the School of Electronic Engineering and Computer Science of Queen Mary University of London. My thesis titled "Analysing Crowd Behaviours using Mobile Sensing" was focused on the application of machine learning techniques on mobile sensor data to understand how crowds behave in planned events. During my PhD I was a Co-founder and CTO of Hiver, a London Business School (LBS) startup that analysed the human interactions in social events using mobile sensing technology. I also hold an M.Sc. in Software Engineering from Queen Mary University of London.

In the past I have worked as a Researcher at Telefónica Research in Barcelona (Spain), a Research Associate in the Dyson School of Design Engineering at Imperial College London, a Research Assistant at Queen Mary University of London, and an R&D Engineer at Philips Healthcare (formerly Philips Medical Systems) in Germany.

I am also the author of SensingKit, a fairly popular open-source mobile sensing framework for iOS and Android platforms.

We are keen to hear from strong students interested in doing a 3-month internship. Please get in touch!

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