Petro Feketa received his Bachelor's and Master's degrees in Applied Mathematics from Uzhgorod National University, Ukraine in 2006 and 2007, respectively, and his Ph.D. degree in Mathematics from Taras Shevchenko National University of Kyiv, Ukraine in 2011. He has held research assistant positions at the University of Applied Sciences Erfurt, Germany and the University of Kaiserslautern, Germany before joining the Chair of Automation and Control at Kiel University, Germany as a postdoctoral researcher in 2018. His research interests include qualitative theory of smooth and discontinuous dynamical systems, stability analysis, and control of networked systems and interconnections of a large scale, mathematical theory of multi-frequency oscillations, analytical and computational approaches for safety verification of cyber-physical systems, and interference of control and machine learning algorithms. He is a recipient of the 2021 KiNSIS Early Career Award for his research in the area of dynamical networks.
Petro Feketa received his Bachelor's and Master's degrees in Applied Mathematics from Uzhgorod National University, Ukraine in 2006 and 2007, respectively, and his Ph.D. degree in Mathematics from Taras Shevchenko National University of Kyiv, Ukraine in 2011. He has held research assistant positions at the University of Applied Sciences Erfurt, Germany and the University of Kaiserslautern, Germany before joining the Chair of Automation and Control at Kiel University, Germany as a postdoctoral researcher in 2018. His research interests include qualitative theory of smooth and discontinuous dynamical systems, stability analysis, and control of networked systems and interconnections of a large scale, mathematical theory of multi-frequency oscillations, analytical and computational approaches for safety verification of cyber-physical systems, and interference of control and machine learning algorithms. He is a recipient of the 2021 KiNSIS Early Career Award for his research in the area of dynamical networks.