CV

Professional experience

Data Scientist
- Physics and Computational Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
- Topic: Constrained deep learning, data-driven optimal control
- April 2020 - ongoing
Postdoctoral Researcher
- Optimization and Control Group, Pacific Northwest National laboratory, Richland, WA, USA
- Topic: Deep Learning-based Model Predictive Control
- Projects: Adaptive Controls
- Supervisor: Draguna Vrabie
- July 2019 - April 2020
Postdoctoral Researcher
- Department of Mechanical Engineering, KU Leuven, Belgium
- Topic: Model Predictive Control of Buildings with Geothermal Ground Source Heat Pump Systems
- Projects: H2020 GEOTECH, IBPSA Project 1
- Supervisor: Lieve Helsen
- September 2017 - April 2019

Education

Ph.D in Control Engineering, Slovak University of Technology in Bratislava, Slovakia, 2017
- Thesis: Model Predictive Control with Applications in Building Thermal Comfort Control
- Supervisor: Michal Kvasnica
M.S. in Control Engineering, Slovak University of Technology in Bratislava, Slovakia, 2012
B.S. in Control Engineering, Slovak University of Technology in Bratislava, Slovakia, 2010

Publications

Explicit MPC of LPV systems in the controllable canonical form

Comparison of MPC strategies for building control

Explicit stochastic MPC approach to building temperature control

Building Temperature Control by Simple MPC-Like Feedback Laws Learned from Closed-Loop Data

MPC-Based Reference Governors for Thermostatically Controlled Residential Buildings

Teaching Classical and Advanced Control of Binary Distillation Column

Offset-Free Hybrid Model Predictive Control of Bispectral Index in Anesthesia

Fuzzy Control of a Laboratory Binary Distillation Column

Model Predictive Control of a CombinedElectrolyzer-Fuel Cell Educational Pilot Plant

Optimal control of a laboratory binary distillation column via regionless explicit MPC

Impact of the controller model complexity on model predictive control performance for buildings

Reflux control of a laboratory distillation column via MPC-based reference governor

MPC-based reference governor control of a continuous stirred-tank reactor

DIFFERENT PROBLEM CLASSES AND SOLUTION TECHNIQUES FOR MODEL PREDICTIVE BUILDING CONTROL

Approximate model predictive building control via machine learning

State observers for optimal control using white-box building models