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Actual offer of dissertation topics for the academic year 2024/2025
Study program “Measurement Technology”:
- Advanced Computational Methods for Uncertainty Analysis in Measurements
- Analysis of Multilead ECG Signals in Disorders of Excitation Propagation in the Heart
- Causal analysis of measured time series
- Characterization of magnetic properties of materials using AC susceptometry
- Detection and evaluation of stress impacts on the examined person during scanning in an MRI scanner based on analysis of the multi-channel PPG signal
- Modeling and simulation of the cardiac electrical field for understanding its manifestation in ECG signals in some cardiac disorders
- Towards an ecologically valid BCI and head-mounted VR system for post-stroke neurorehabilitation
Study program “Applied Mathematics”:
- Methods and algorithms for computing probability distributions of estimators and test statistics using characteristic functions
- Probabilistic and statistical methods for the inverse problem in electrocardiography solution
- Rényi dimensions and entropies in causal analysis of measured time series
- Towards an ecologically valid BCI and head-mounted VR system for post-stroke neurorehabilitation
Archive of the dissertation topics
- Advanced Computational Methods for Uncertainty Analysis in Biomedical Measurements
- Development of on-chip measurements of transient characteristics of semiconductor devices
- Development of a brain-computer interface and virtual reality for motor neurorehabilitation
- Analysis of Multilead ECG Signals in Disorders of Excitation Propagation in the Heart
- Analysis of stress impacts on the examined person during scanning in an MRI scanner by the multi-channel PPG signal
- Development of new magnetometric method for diagnostics of the diseases related to iron metabolism on animal and cell models
- Complexity and causality in measured multivariate time series
- Application of deep-learning algorithms on automated MRI data processing
- Measurement of geometrical quantities in 3D objects by application of X-ray microtomography
- AI-based analysis and interpretation of electroencephalography
- Probabilistic and statistical methods for the inverse problem in electrocardiography solution
- Methods and algorithms for exact probability distribution of the selected estimators and test statistics and their applications
- Reconstruction of the causal network from time series
- Development of methods for measuring the transient characteristics of semiconductor devices
- Development of methods based on impedance spectroscopy for cell characterization
- Development of new magnetometric method for diagnostics of the diseases related to iron metabolism on animal and cell models
- Computational methods of modeling and evaluation of measurement uncertainties
- Methods for determining measurement uncertainty using virtual experiments and digital twins
- Measurement and analysis of multilead ECG signals in disorders of excitation propagation in the heart
- Measuring methods for noninvasive diagnostics of the cardiovascular system
- Causal analysis of measured multivariate time series
- Measurement of geometrical quantities in 3D objects by application of X-ray microtomography
- Analysis of stress impacts on the examined person during scanning in an MRI scanner
- Probabilistic and statistical methods for the inverse problem in electrocardiography solution
- Methods and algorithms for exact probability distribution of the selected estimators and test statistics in linear mixed models and their applications
- Reconstruction of the causal network from time series
- Detection and analysis of stress impacts on the human physiology and psychology during scanning in the low field MRI equipment
- Computational methods of modeling and evaluation of measurement uncertainties
- Measuring methods and systems for noninvasive diagnostics of the cardiovascular system
- Measurement and Analysis of Multilead ECG Signals in Disorders of Excitation Propagation in the Heart
- Development of new magnetometric method for diagnostics of the diseases related to iron metabolism on animal and cell models
- Measurement of geometrical quantities in 3D objects by application of X-ray microtomography
- Development of a platform for measurement of biological response of weak low-frequency electromagnetic fields (EMF)
- Multivariate causal analysis
- Causal analysis of complex time series
- Probabilistic and statistical methods for the inverse problem in electrocardiography solution
- Methods and algorithms for exact probability distribution of the selected estimators and test statistics in linear mixed models and their applications
- Modern methods for uncertainty evaluation in measurement
- Modeling of the cardiac electrical field and simulation of measured surface ECG potentials in selected cardiac diseases
- Analysis of noise and vibration impact on the human physiology and psychology during scanning in the low field MRI equipment
- Development of new magnetometric method for diagnostics of the diseases related to iron metabolism on animal and cell models
- Analysis of complex time series
- Measurement of geometrical quantities in 3D objects by application of X-ray microtomography
- Nuclear magnetic resonance (NMR) system sensitivity
- Analysis of complex time series generated by nonlinear dynamic systems
- Advanced methods of cells segmentation and tracking in color images acquired by optical microscope aimed at characterization of cell motility in time
- Probabilistic and statistical methods for the inverse problem in electrocardiography solution
- Methods and algorithms for the class of probability distributions based on a combination of Meier G-functions and Fox H-functions and their applications
- Development of new magnetometric method and for diagnostics of the cardiovascular and oncological diseases on animal and cell models using the nanoparticles
- Method for computatiom, averaging, imaging and evaluation of surface isochronal maps of the cardiac electrical field
- Measuring methods and systems for monitoring of vital functions and noninvasive diagnostics of the cardiovascular system
- Modeling of the cardiac electrical field and simulation of measured surface ECG potentials in selected cardiac diseases
- Automated segmentation of knee cartilage and meniscus using convolutional neural networks
- Nuclear magnetic resonance (NMR) system sensitivity
- Measurement of geometrical quantities in 3D objects by application of X-ray microtomography
- Development of a platform for measurement of biological response of weak low-frequency electromagnetic fields (EMF)
- Advanced evaluation of connective tissues using texture analysis from MR images
- Mapping and analysis of noise and vibration produced by low field MRI devices and their impact on physiology and psychology of an examined person
- Analysis of complex time series
- Statistical and metrological methods for calibration and uncertainty evaluation in measurement
- Analysis of complex time series
- Development of new magnetometric methods and devices for diagnostics and therapy of the cardiovascular and oncological diseases using the multifunction “smart” nanostructures
- Enhancing cognition using mixed reality
- Development of a platform for measurement of biological response of weak low-frequency electromagnetic fields (EMF)
- Statistical methods for uncertainty evaluation in measurement
- Measuring methods and systems for the cardiovascular system functionality diagnostics and their therapeutic application
- Modeling of the cardiac electrical field and simulation of measured surface ECG potentials in selected cardiac diseases
- Measurement of geometrical quantities of 3D objects by X-ray microtomography
- Measurement of transient characteristics of fast semiconductor devices
- Measuring methods and systems for the nuclear magnetic resonance (NMR) system sensitivity and their application in experiment