Our research focus is on prediction and control of complex systems, whose dynamics are hard to describe, predict or control. In particular, we are interested in control theory, game theory and reinforcement learning, on the theory side, and their applications to aerospace, automotive and robotics fields, on the engineering side. 

PROSPECTIVE STUDENTS: Please have a look at our research projects/publications and if you are interested, please send a short email to Yildiray Yildiz (yyildiz@bilkent.edu.tr) describing your research interests together with your CV. Undergraduates are also welcome. If you are a good programmer, please indicate that in your email (this is NOT a requirement). 

OPEN POSTDOCTORAL POSITIONS: We seek candidates with strong programming skills together with an interest in reinforcement learning and game theory. We are particularly interested in candidates who can apply his/her computer skills on solving problems in prediction of the behavior of complex dynamical systems. Please contact Yildiray Yildiz (yyildiz@bilkent.edu.tr) if you are interested.


NASA's public sharing of their software catalog, including the software for our CAPIO implementation, appeared on Bilkent University's front page13 April 2017

Our paper, "Computable Delay Margins for Adaptive Systems with State Variables Accessible,"  accepted for publication at IEEE Transactions on Automatic Control, is now online. 6 April 2017

Yildiray Yildiz receives Turkish Science Academy's Young Scientist Award. He is the only recipient of the award this year from Mechanical Engineering field.
4 April 2017

Our lab members Shahabaldin Tohidi and Ehsan Yousefi received student travel support award for 2017 IFAC World Congress. Only three students from Turkey received this award and two of them are from our lab! Congrats Shahab, Ehsan! 29 March 2017

NASA provides several of its own software for free! The code developed for the implementation of a control allocation technology that Yildiray Yildiz and Ilya V. Kolmanovsky from U of M Ann Arbor developed, is also here. If you are interested, just search for "CAPIO" at https://software.nasa.gov  2 March 2017