Biography
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. 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. Since 2016 I am an Associate Editor, Conference Editorial Board: IEEE CSS, EUCA and IFAC. In 2019, 2020 and 2021 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.
Awards and Achievements
- IFAC Young Author Paper Prize (as advisor)
- ETH Medal for outstanding doctoral dissertation
Most Recent Publications
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
Data-Driven Neural Certificate Synthesis
Data-Driven Neural Certificate Synthesis
Probabilistically safe controllers based on control barrier functions and scenario model predictive control
Probabilistically safe controllers based on control barrier functions and scenario model predictive control
Finite sample learning of moving targets
Finite sample learning of moving targets
Learning robust policies for uncertain parametric Markov decision processes
Learning robust policies for uncertain parametric Markov decision processes
Research Interests
- Reachability analysis and optimal control of hybrid systems
- Data based optimization
- Randomized and robust optimization
- Statistical learning theory
- Decentralized and distributed computation
- Decision making in power networks with uncertainty
Research Groups
Current Projects
EPSRC Grant: Aggregative charging control of electric vehicles
Role: PI
Main objective is the development of optimal charging strategies for large fleets of electric vehicles affected by uncertainty.
Food Union DPhil sponsor: Attended home delivery management
Role: PI
Main objective is the development of optimal pricing of online delivery orders using optimal control techniques based on dynamic programming
Most Recent Publications
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
Data-Driven Neural Certificate Synthesis
Data-Driven Neural Certificate Synthesis
Probabilistically safe controllers based on control barrier functions and scenario model predictive control
Probabilistically safe controllers based on control barrier functions and scenario model predictive control
Finite sample learning of moving targets
Finite sample learning of moving targets
Learning robust policies for uncertain parametric Markov decision processes
Learning robust policies for uncertain parametric Markov decision processes
