Kostas Margellos

Associate Professor
Department of Engineering Science, University of Oxford
Parks Road 17, OX1 3PJ, Oxford, United Kingdom


I received the Diploma in electrical and computer engineering from the University of Patras, Greece, in 2008 and the Ph.D. in automatic control from ETH Zurich, Switzerland, in November 2012, under the supervision of Prof. John Lygeros.

From December 2012 till December 2013 I was a post-doctoral researcher at ETH Zurich working with Prof. John Lygeros, while from January 2014 till January 2015 I was a post-doctoral researcher in the Department of Industrial Engineering and Operations Research at UC Berkeley, working with Prof. Shmuel Oren. From February 2015 till February 2016 I was a post-doctoral researcher at the Department of Electronics, Information and Bioengineering, at Politecnico di Milano, working with Prof. Maria Prandini.

In March 2016, I joined the Control Group, Department of Engineering Science, University of Oxford, where I am currently an Associate Professor. From 2016 till 2019, the professorship was partially supported by MathWorks. I am also a Fellow in AI & Machine Learning at Reuben College, and a Lecturer at Worcester College.

Since 2020 I am an Associate Editor for Automatica, and since 2023 for IEEE Control Systems Letters. I am also an Associate Editor, Conference Editorial Board: IEEE CSS, EUCA and IFAC. In 2019, 2020, 2021 & 2022, I received a Teaching Excellence Award, Department of Engineering Science, University of Oxford (upon nomination of undergraduate students). In 2013 I received the ETH Medal for my PhD thesis.

Research interests

My research interests currently focus on Control and Optimization of Complex Systems, namely,

  • Reachability analysis and optimal control of hybrid systems;
  • Randomized and robust optimization;
  • Statistical learning theory;
  • Decentralized and distributed computation;
  • Energy and transportation operations in smart cities;
  • details can be found in the publications page. See also here for some research overview.