Themes of doctoral thesis

prof. Ing. Libor Hlaváč, Ph.D.

• Utilization of magnetic field for quality control of the abrasive water jet
• Physical description of non-traditional abrasive materials application

doc. Ing. Irena Hlaváčová, Ph.D.

• Physical analysis of interaction between absarive particles and material during cutting and blasting

prof. Ing. Radomír Goňo, Ph.D.

• Securing of Reliable Electric Power Supply

prof. Ing. Dagmar Juchelková, Ph.D.

• Integrated machine learning strategies to predict and optimize products from biomass/waste thermochemical conversion to bioenergy
• Possibilities of replacing fossile energy resources by RES
• Possibilities of replacing energy resources by integrating RES into energy systems

doc. Ing. Tomáš Novák, Ph.D.

• Modelling of Obtrusive Light Radiated by Large Light Sources

doc. Ing. Petr Šimoník, Ph.D.

• New Architectures for Software Defined Vehicle Platforms
• Advanced Behavioral Analysis in the Environment of Motor Vehicle Operation

doc. Ing. David Horák, Ph.D.

• Application of massive-parallel implementation of variants of the Gram-Schmidt orthogonalization process in FETI solvers

prof. Ing. Tomáš Kozubek, Ph.D.

• Mixed Precision Solvers for Sparse Systems of Linear Equations

prof. Ing. Michal Krátký, Ph.D.

• Compression of Data Structures
• In-memory Database Systems

prof. RNDr. Michal Otyepka, Ph.D.

• Computer modeling of single atom interaction with supports
• Modeling of photoluminescent properties of carbon dots
• Modeling of carbon dots formation
• Modeling of single atom catalysts

prof. RNDr. Václav Snášel, CSc.

• Graph Neural Network
• Generative Adversarial Networks
• Manifold Optimization

prof. RNDr. Marie Duží, CSc.

• Inference machince for the TIL-Script language
• Dynamic reasoning and representation of temporal knowledge in the framework of Transparent Intensional Logic.
• Inferences in Transparent Intensional Logic (TIL) and their application to natural language.

doc. Mgr. Jiří Dvorský, Ph.D.

• Text Compression

doc. Ing. Pavel Krömer, Ph.D.

• Modern Metaheuristics for Combinatorial Optimization Problems

prof. Ing. Jan Platoš, Ph.D.

• Time-series Analysis
• Analysis of biological data using deep neural networks

prof. Ing. Roman Šenkeřík, Ph.D.

• Machine learning for bio-inspired computing
• Autoconfiguration techniques for metaheuristic algorithms and symbolic regression

doc. Ing. Lubomír Říha, Ph.D.

• Data visualization in the HPC environment
• Parallel conversion of CAD formats to finite-element meshes
• Optimisation of parallel applications with focus on energy consumption on HPC infrastructures

doc. Mgr. Vít Vondrák, Ph.D.

• New computing workflows for exascale supercomputing architectures
• New hybrid HPC-QC computational approaches

Peppino Fazio, Ph.D.

• Mobility analysis in dynamic networks: deep analysis of stochastical properties
• New Approaches to Energy-effcient Communications
• Space Networks Enabling 6G Wireless Communications
• Title: Beyond 5G THz channel modeling in static and dynamic scenario
• Movable Base-Stations in B5G/6G Networks

prof. Ing. Petr Bilík, Ph.D.

• The use of artificial intelligence for the field of image analysis

prof. Ing. Martin Černý, Ph.D.

• Assited life daily monitoring for adults health resilience
• Sensors for smart orthosis

doc. Ing. Radovan Hájovský, Ph.D.

• Advanced Control Methods for Nano/Micro Robots
• Control of Drones Using Deep Reinforcement Learning
• Sensors and Advanced Signal Processing Methods for Space Applications

doc. Ing. Bohumil Horák, Ph.D.

• Control of the robotic systems
• Virtual and augmented reality technology for process control, diagnostics and visualization
• Control of the renewable and alternate energetic systems

doc. Ing. Jaromír Konečný, Ph.D.

• Enhancing Autonomous Robot Navigation: Algorithms, Sensing, and Real-World Applications

prof. Ing. Jiří Koziorek, Ph.D.

• New approaches of physical quantities measurement in geothermal applications

doc. Ing. Michal Prauzek, Ph.D.

• Application of machine learning methods and adaptive power management for energy-harvesting embedded systems

prof. RNDr. Martin Pumera, Ph.D.

• 2D materials for advanced flexible wearable electronics
• Advanced 3D printing for the development of decentralized sensors and biosensors
• Additive manufacturing (3D printing) of energy storage devices

Doc. Ing. Štěpán Ožana, Ph.D.

• Design and Implementation of algorithms based on modern control theory on embedded devices

Doc. Ing. Jan Vaňuš Ph.D.

• Use of advanced mathematical methods for indirect monitoring of the occupancy of Intelligent Buildings
• Neural Networks for Buildings Occupancy estimation

doc. Ing. Jan Žídek, CSc.

• Use of Artificial Intelligence for Vehicle Diagnostics.
• Advanced Signal Processing Methods for Condition Monitoring and Predictive Maintenance.
• Using Swarm Intelligence Algorithms for Optimization in Cybernetics and Biomedicine.
• Use of Blockchain Technology in Cybernetics and Biomedicine.
  Use of Artificial Intelligence in Agriculture.

prof. RNDr. René Kalus, Ph.D.

• Solution of the stationary Schrödinger equation via machine learning methods
• Modeling of molecular ions formation in cold krypton and xenon plasmas
• Modeling of nonadiabatic molecular dynamics via machine learning methods

doc. Mgr. Petr Kovář, Ph.D., M.S.

• Discrete Optimization Methods
• Scheduling sport tournaments

doc. Ing. Dalibor Lukáš, Ph.D.

• Parallel Boundary Element Methods

Prof. RNDr. Marek Lampart, Ph.D.

• Quantum game theory applications
• Variational quantum algorithm and their applications
• Quantum game theory applications

Mgr. Stanislav Sysala, Ph.D.

• Optimization methods for stability assessment of slopes and other geotechnical structures