A5048317569- Gene Regulatory Network Analysis
- Advanced Control Systems Optimization
- Microbial Metabolic Engineering and Bioproduction
- Computational Drug Discovery Methods
- Control and Stability of Dynamical Systems
- Fault Detection and Control Systems
- Control Systems and Identification
- COVID-19 epidemiological studies
- Nuclear reactor physics and engineering
- Advanced Thermodynamics and Statistical Mechanics
- Nonlinear Dynamics and Pattern Formation
- Process Optimization and Integration
- Stability and Control of Uncertain Systems
- Protein Structure and Dynamics
- Dynamics and Control of Mechanical Systems
- Advanced Differential Equations and Dynamical Systems
- Neural dynamics and brain function
- Mathematical Biology Tumor Growth
- Quantum chaos and dynamical systems
- Probabilistic and Robust Engineering Design
- stochastic dynamics and bifurcation
- Petri Nets in System Modeling
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Data Processing Techniques
- Hydraulic and Pneumatic Systems
Institute for Computer Science and Control
2015-2025
Pázmány Péter Catholic University
2015-2024
Hungarian Academy of Sciences
2012-2023
Catholic University of America
2014-2022
Eötvös Loránd University
2021
Chalmers University of Technology
2018-2021
Semmelweis University
2018
Consejo Superior de Investigaciones Científicas
2011-2012
HUN-REN Institute for Nuclear Research
2008-2010
Budapest University of Technology and Economics
2007
The management of COVID-19 appears to be a long-term challenge, even in countries that have managed suppress the epidemic after their initial outbreak. In this paper, we propose model predictive approach for constrained control nonlinear compartmental captures key dynamical properties COVID-19. design uses discrete-time version model, and it is able handle complex, possibly time-dependent constraints, logical relations between variables multiple predefined discrete levels interventions. A...
The inference of biological networks from high-throughput data has received huge attention during the last decade and can be considered an important problem class in systems biology. However, it been recognized that reliable network remains unsolved problem. Most authors have identified lack deficiencies algorithms as main reasons for this situation. We claim another major difficulty solving these problems is frequent uniqueness many networks, especially when prior assumptions not taken...
Pandemic management requires reliable and efficient dynamical simulation to predict control disease spreading. The COVID-19 (SARS-CoV-2) pandemic is mitigated by several non-pharmaceutical interventions, but it hard which of these are the most effective for a given population. We developed computationally scalable, agent-based microsimulation framework PanSim, allowing us test measures in multiple infection waves caused spread new virus variant city-sized societal environment using unified...
It has been clearly demonstrated over the past years that control theory can provide an efficient framework for solution of several complex tasks in epidemiology. In this paper, we present a computational approach state estimation based reference tracking and historical data reconstruction using nonlinear compartmental epidemic models. The model is given input-affine form, where manipulable input disease transmission rate influenced by possible measures restrictions, while observed or...
Abstract In this paper, a finite volume discretization scheme for partial integro-differential equations (PIDEs) describing the temporal evolution of protein distribution in gene regulatory networks is proposed. It shown that obtained set ODEs can be formally represented as compartmental kinetic system with strongly connected reaction graph. This allows application theory nonnegative and systems qualitative analysis approximating dynamics. framework, it straightforward to show existence,...
Abstract The thermodynamic approach of analyzing structural stability process plants was extended to construct the simple Hamiltonian model lumped systems. This type enables us design a nonlinear PD feedback controller for passivation and loop shaping. is applicable systems where Kirchhoff convective transport takes place together with transfer sources various types, manipulable input variables are flow rates. Systems constant mass holdup uniform pressure in every balance volume satisfy...
Wastewater-based epidemiology (WBE) has emerged as a promising approach for monitoring the COVID-19 pandemic, since measurement process is cost-effective and exposed to fewer potential errors compared other indicators like hospitalization data or number of detected cases. Consequently, WBE was gradually becoming key tool epidemic surveillance often most reliable source, intensity clinical testing drastically decreased by third year pandemic. Recent results suggests that model-based fusion...