Ongoing

Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà, "Continual Prediction of Notification Attendance with Classical and Deep Network Approaches", under review.
[arXiv]

Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi, "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", under review.
[arXiv]

Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee. "Deep Private-Feature Extraction", under review.
[arXiv]

2018

Kleomenis Katevas, Ioannis Arapakis, Martin Pielot, "Typical Phone Use Habits: Intense Use Does Not Predict Negative Well-Being", ACM MobileHCI '18, Barcelona, Spain, September 2018.
[pdf]

Katrin Hänsel, Kleomenis Katevas, Guido Orgs, Daniel C. Richardson, Akram Alomainy, Hamed Haddadi, "Position Paper: The Potential of Wearable Tech to Monitor Social Interactions through Interpersonal Synchrony Detection", 4th Workshop on Wearable Systems and Applications (WearSys 2018) in conjunction with ACM MobiSys 2018, Munich, Germany, June 2018.
[pdf]

2017

Martin Pielot, Bruno Cardoso, Kleomenis Katevas, Joan Serrà, Aleksandar Matic, Nuria Oliver, "Beyond Interruptibility: Predicting Opportune Moments to Engage Mobile Phone Users", ACM UbiComp '17, Maui, Hawaii, September 2017.
[pdf, presentation, blog post]

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.
[pdf, presentation]

Kleomenis Katevas, Laurissa Tokarchuk, Hamed Haddadi, Richard G. Clegg, Muhammad Irfan, "Demo: Detecting Group Formations using iBeacon Technology", ACM MobiSys 2017, Niagara Falls, NY, USA, June 2017.
[pdf, poster, video]

Stefan Priebe, Eoin Golden, David Kingdon, Serif Omer, Sophie Walsh, Kleomenis Katevas, Paul McCrone, Sandra Eldridge, 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).
[pdf]

2016

Kleomenis Katevas, Hamed Haddadi, Laurissa Tokarchuk, Richard G. Clegg, "Detecting Group Formations using iBeacon Technology", 4th International Workshop on Human Activity Sensing Corpus and Application (HASCA 2016) in conjunction with ACM UbiComp 2016, Heidelberg, Germany, September 2016.
[pdf, presentation]

Kleomenis Katevas, Hamed Haddadi, Laurissa Tokarchuk, "SensingKit: Evaluating the Sensor Power Consumption in iOS devices", 12th International Conference on Intelligent Environments (IE'16), London, UK, September 2016.
[pdf]

2015

Kleomenis Katevas, Patrick G.T. Healey, Matthew Tobias Harris, "Robot Comedy Lab: Experimenting with the Social Dynamics of Live Performance", Frontiers in Psychology 6:1253, August 2015.
[pdf, web]

Kleomenis Katevas, Hamed Haddadi, Laurissa Tokarchuk, Richard G. Clegg, "Walking in Sync: Two is Company, Three’s a Crowd", 2nd Workshop on Physical Analytics (WPA) in conjunction with ACM MobiSys 2015, Florence, Italy, May 2015.
[pdf, presentation]

2014

Kleomenis Katevas, Patrick G.T. Healey, Matthew Tobias Harris, "Robot Stand-up: Engineering a Comic Performance" in Proceedings of the 2014 Workshop on Humanoid Robots and Creativity at the 2014 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014), Madrid, Spain, November 2014.
[pdf, source code]

Kleomenis Katevas, Hamed Haddadi, Laurissa Tokarchuk, "Poster: SensingKit -- A Multi-Platform Mobile Sensing Framework for Large-Scale Experiments", Extended abstract, ACM MobiCom 2014, Maui, Hawaii, September 2014.
[pdf, poster, web]