Kleomenis Katevas

I am an ML Research Scientist and lead of the ML Research team at Brave Software in London, UK. I focus on designing and building privacy-preserving, ML-based systems.

My research interests lie in the areas of Privacy-Preserving ML (Federated Learning, P2P), Mobile Systems, and Efficient On-Device ML (including LLMs). In the past, I have also been interested in Human-Computer Interaction and 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. 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 Telefonica Research in Barcelona, 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.