I was born in Athens, Greece, in 1985. I received a Diploma in Chemical Engineering in 2007 and an MSc with honours in Applied Mathematics in 2009 from NTU Athens. In December 2012, I defended my PhD thesis titled "Modelling and Control of Biological and Physiological Systems" at NTU Athens. In January 2013 I joined the Dynamical Systems, Control and Optimization research unit at IMT Lucca as a post-doctoral Fellow. Afterwards, I worked as a post-doctoral researcher at ESAT, KU Leuven. I am currently a post-doctoral researcher at KIOS Center of Excellence, University of Cyprus. My research focuses on model predictive control and numerical optimization.
KIOS Research Center
University of Cyprus
1 Panepistimiou Avenue
2109 Aglantzia, Nicosia, Cyprus
Email: my surname dot my name at ucy dot ac dot cy
I am currently a TA for the students' project P&O Eagle at ESAT, KU Leuven. P&O Eagle is a drone with computer vision and navigation capabilities.
In the winter semester of 2016 I gave the PhD course advanced topics in control systems in IMT Lucca. The course focused on economic model predictive control, control of linear and nonlinear Markovian switching systems, risk measures and risk-averse optimal control.
We proudly present SuperSCS: a super-(linearly) fast solver for conic optimization problems. Optimization software often cast convex problems into conic ones and delegate their solution to solvers in the backend. Based on the implementation of the popular solver SCS, we implemented a new algorithm which leads to manifold speed-ups.Software, Optimization
This is a CUDA-implementation of an dual accelerated proximal gradient algorithm for scenario-based model predictive control problems. The structure of the optimization problem is employed to accelerate computations; very high speedups (ranging from x10 up to x100) are observed compared to the corresponding GPU implementation.GPU, Numerical Optimization
A remarkably fast algorithm for recursive compressive sensing which is about one order of magnitutde faster compared to state-of-the-art algorithms (L1LS, ISTA, FISTA).Numerical Optimization
Drinking water networks are large-scale systems whose operation is characterised by complex uncertainty patterns. Pressures across the network need to be kept in certain limits, tanks must not overflow and water demand requirements must be met, while unexpectedly high demands and electricity prices may signal the alarm in the control centre of the network. Scenario-based stochastic model predictive control is an advanced control methodology which can address the problem of controlling such systems very efficiently leading to a considerable reduction in operating costs and a higher quality of service.Stochastic MPC, Control, DWN
JAQPOT Quattro is a predictive toxicology platform on the web which combines machine learning, cheminformatics, linked data and web technologies with the OpenTox and eNanomapper APIs to deliver a generic and interoperable solution for drug discovery.Software, Chemiformatics
This is an ANSI C embedded control framework for nonlinear model predictive control which implements a very fast nonconvex optimization solver with convergence guarantees that significantly outperforms SQP/SCP approaches. It is particularly suitable for robotic applications.Software, Optimization, Control
No man ever steps in the same river twice, for it's not the same river and he's not the same man.Heraclitus
All things are subject to interpretation; whichever interpretation prevails at a given time is a function of power and not truth.F. Nietschze
If liberty means anything at all, it means the right to tell people what they do not want to hear.G. Orwell
The realization that life is absurd cannot be an end, but only a beginning. This is a truth nearly all great minds have taken as their starting point. It is not this discovery that is interesting, but the consequences and rules of action drawn from it.A. Camus