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Measurement and Signal Processing in Chemistry

Measurement and Signal Processing in Chemistry

Doctoral programme, Faculty of Chemical Engineering
CHYBI CHARAKTERISTIKA PROGRAMU

The study programme is focused on modern sensor technology, chemical sensors, modeling, simulation, identification and classification (bio) chemical processes, data collection and processing from chemical, biochemical and biological samples. The theoretical basis of the programme is the principles of the function sensors of physical and chemical quantities, methods of digital signal processing and selected chapters from applied mathematics. The aim of the study of this programme is to educate a doctoral student for independent scientific work in the areas of (i) modern chemical sensors, (ii) modeling, simulation and analysis of complex chemical processes and (iii) modern methods of data processing primarily from chemical, biochemical and biological samples. The aim is to equip students with advanced theoretical knowledge and practical skills and to educate independent scientific personalities from them, able to further develop the areas of theoretical and applied research.

Careers

The graduate is multidisciplinary and has in-depth knowledge of various branches of measuring and sensor technology, modeling of chemical processes, signal collection and processing. Has an overview of topics related to: (i) construction and principles of operation of sensors and measuring systems and (ii) mathematical and statistical methods in signal and image processing. He is led to the ability to work independently and in a team, the formulation of a scientific problem, the creation of a concept for its solution and the implementation of research in all phases of this process. The graduate will be ready to design their own research or industrial projects. He will acquire knowledge and skills that will enable him to adapt professionally in specific conditions in the field of basic and applied research, in the academic sphere and in technological practice connected especially with the chemical and food industry.

Programme Details

Language of instruction English
Standard length of study 4 years
Form of study Full time + Combined
Guarantor of study programme prof. Dr. Ing. Martin Vrňata
Programme Code AD405
Place of study Prague
Capacity 20 students
Number of available PhD theses 7
Recommended Curriculum
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List of available PhD theses

Advanced Process Control Focused on Nonlinear and Multivariable Systems

Department: Department of Computing and Control Engineering, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.

Annotation

Thesis is devoted to the design of new methodology of data processing and control algorithms development for multivariable and nonlinear systems. The work assumes (i) the study of advanced methods of signal analysis, identification, process control algorithms (ii) the proposal of specific control algorithms, (iii) implementation and verification on the real technological system.

Advanced Signal Processing Methods in Development of Virtual Control Board

Department: Department of Computing and Control Engineering, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.

Annotation

The project is devoted to design of virtual control board of selected real technological process. The work is based on analysis of selected biomedical data, 3D modelling and virtual reality. The project assumes (i) study of advanced methods of biomedical signal analysis and 3D modelling (ii) the proposal of specific algorithms for virtualisation, 3D modelling and process control, (iii) implementation and verification.

Advanced Statistical Methods for Biomedical Data Analysis

Department: Department of Computing and Control Engineering, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.

Annotation

Analýza biomedicínských dat je v současné době velmi žádaná, zároveň však dosti obtížná úloha. Závěry ze správně provedené analýzy mohou výrazným způsobem posunout vpřed výzkum a poznání především v oblasti diagnostiky. Práce předpokládá (i) studium pokročilých statistických metod, (ii) návrh konkrétní metodiky a algoritmu pro statistické zpracování vybraných reálných biomedicínských dat (iii) implementace a verifikace v nemocničním prostředí.

Advanced methods of monitoring, modeling and control of bioprocesses

Department: Department of Computing and Control Engineering, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.

Annotation

The quality of process control of biotechnological production processes used in the pharmacy and food industry is often constrained by the limited possibilities of analysis of key process parameters (e.g. cell concentration, growth rate, production rate, etc.). Thesis is devoted to the design of new methodology of data processing and control algorithms development. The work assumes (i) the study of advanced methods of signal analysis, identification, process control algorithms, (ii) the proposal of specific control algorithms.

Development of robot for preparation of personalised medicine

Department: Department of Computing and Control Engineering, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.

Annotation

Preparation of personalized medicine is an attractive field where modern methods of measurement, control and statistical analysis are fundamental. The goal of the dissertation is to develop specific technology for the preparation of personalized medicines using impregnation of porous placebo tablets with a solution of a drug. The aim of the work is to construct an automated impregnation robot capable of complete preparation of personalized medicines: a) impregnation, b) drying, c) quality control.

Stochastic Methods of Image Analysis in Methods Biomedicine

Department: Department of Computing and Control Engineering, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.

Annotation

Biomedical image analysis is a very desired tool because it provides semi-automatical detection of pathological findings from CT and MR. Modern approach can be represented by point processes with density, especially interacting particle systems. The work assumes (i) the study of advanced methods for image analysis, (ii) the study of interacting particle systems (iii) the proposal of specific algorithms for analysis of selected biomedical images, and (iii) comparison, implementation and verification in the hospital.

The importance of topological indices for determining the similarity of molecules

Department: Department of Computing and Control Engineering, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.

Annotation

Using molecular descriptors, it is possible to mathematically describe molecules. This is applied in many fields where it is necessary to look for new substances with specific properties or to predict unknown properties of substances. An important type of molecular descriptors are the so-called topological indices, which characterize a given molecule according to its size, degree of branching and overall shape. The work assumes (i) study of various types of molecular descriptors, especially topological indices (ii) study of correlations of specific topological indices with properties of molecules (iii) comparison of algorithmic complexity for calculation of specific topological indices (iv) implementation of selected algorithms for calculation of specific topological indices.

Updated: 18.2.2020 13:59, Author: Jan Kříž

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