Kleomenis Katevas

About me

I am in the final year of my Ph.D. research in the Cognitive Science group at Queen Mary's school of Electronic Engineering and Computer Science.

My research "Analysing crowd behaviours using mobile sensing" is part of the Media & Arts Technology doctoral programme, supervised by Dr. Laurissa Tokarchuk and Dr. Hamed Haddadi.

Recent News

Check out our demo "Detecting Group Formations using iBeacon Technology" at ACM MobiSys 2017, Niagara Falls, NY, USA, June 2017. Video at https://vimeo.com/kkatevas/mobisys17-demo.

Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà, "Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions", 1st International Workshop on Embedded and Mobile Deep Learning in conjunction with ACM MobiSys 2017, Niagara Falls, NY, USA, June 2017.

Stefan Priebe, Eoin Golden, David Kingdon, Serif Omer, Sophie Walsh, Kleomenis Katevas, Paul McCrone, Sandra Eldridge and Rose McCabe, "Effective patient–clinician interaction to improve treatment outcomes for patients with psychosis: a mixed-methods design", Programme Grants Appl Res 2017;5(6).