Onur Yürüten

Ph.D. student
Mailing Address:
Room 145, Building BC, I&C department, EPFL
Station 14, CH – 1015 Lausanne, Switzerland
Tel Direct: +41 21 693 1327
Email: onur dot yuruten at epfl dot ch

Short Bio

I am a Ph.D. candidate in EPFL, School of Computer Science: A rational, focused, independent, and resilient data science specialist looking forward to developing data analytical solutions for you, and with you! My ultimate vision is to lead a career that promotes creativity at all times.

Research @HCI Group, EPFL

Keywords for my research interests include data mining, time series analysis, machine learning, and interaction design. Be it industrial or academic, I am keen on doing research that has significant, real-life impacts. In the past, I employed my skills to contribute to EU project ROSSI, and Nano-Tera project Tera-Health. I currently conduct research for a new EU Horizon2020 project: REACH.

I focus my studies on analysing activities of daily life (ADLs) from wearable sensor data. I design novel techniques and a combination of timeseries mining methods to analyze activities of daily living (ADLs), and to understand why some people are more active than others (interpersonal differences), and why their patterns change over time (intrapersonal differences). I aim to reflect my findings on constructing lifestyle recommender systems – systems to encourage people to adopt healthier lifestyles.

I am a member of EUCog – European Network for the Advancement of Artificial Cognitive Systems, Interaction and Robotics since September 2012. Furthermore, I am a student member of AAAI and ACM communities since 2014, and I am the President of TURQUIA 1912 (The Association for Turkish Students in Switzerland) since October 2015 (I also was the vice president from October 2014).


  • Ph.D., Computer Science, EPFL (expected: 2017)
  • M.S., Computer Engineering, Middle East Technical Universtity, Ankara, Turkey (2012)
  • B.S., Computer Engineering, Bilkent University, Ankara, Turkey (2010)


  • Onur Yürüten and Pearl Pu. Factoring the Habits: Comparing Methods for Discovering Behavior Patterns from Large Scale Activity Datasets. International Conference on Big Data Analytics, Data Mining and Computational Intelligence (BIGDACI). Part of Multi Conference on Computer Science and Information Systems (MCCSIS) (forthcoming) 2016
  • Onur Yürüten, Jiyong Zhang and Pearl Pu. Decomposing Activities of Daily Living to Discover Routine Clusters. In the 28th AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada,  July 27-31, 2014 [access]
  • Onur Yürüten, Jiyong Zhang, and Pearl Pu. Predictors of Life Satisfaction Based on Daily Activities from Mobile Sensor Data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14), pp.497-500, Toronto, Canada, April 26 – May 1, 2014. (to appear) [access]
  • The Learning of Adjectives and Nouns from A ffordance and Appearance Features, Onur Yürüten, Erol Sahin, Sinan Kalkan, Adaptive Behavior, 2013.
  • Verb Concepts from Affordances, Kalkan S., Dag N., Yürüten O., Borghi A., Sahin E., Journal of Interaction Studies, to appear.
  • Learning Nouns and Adjectives from Affordances on the iCub Humanoid Robot, Yuruten O., Uyanik K. F., Caliskan, Y., Bozcuoglu, A. K. Sahin E., Kalkan S., 12th Int. Conference on Simulation of Adaptive Behavior, Denmark, 2012.
  • Towards Context-aware Adjective Learning, Uyanik K. F., Yuruten O., Kalkan S., Sahin E., ICRA 2012 Future of HRI Workshop, MI, USA.
  • Learning Social Affordances and Using Them for Planning, Kadir Firat Uyanik, Yigit Caliskan, Asil Kaan Bozcuoglu, Onur Yuruten, Sinan Kalkan, Erol Sahin, In Proceedings of the 35th Annual Conference of the Cognitive Science Society, August 3, 2013



My hobbies include playing piano, billiard, football, orienteering and salsa.