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Measurement and Signal Processing in Chemistry

Measurement and Signal Processing in Chemistry

Doctoral Programme, Faculty of Chemical Engineering

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

Study Language English
Standard study length 4 years
Form of study full-time , combined
Guarantor prof. Dr. Ing. Martin Vrňata
Place of study Praha
Capacity 20 students
Programme code (national) P0714D130002
Programme Code (internal) AD405
Number of Ph.D. topics 8

Ph.D. topics for study year 2024/25

Hybrid and adaptive software sensors for advanced monitoring of bioprocesses

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: doc. Ing. Pavel Hrnčiřík, 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 on-line measurement of key process parameters (e.g. cell concentration, growth rate, production rate, etc.). One possible solution is the use of software sensors to continually estimate the values of key process indicators from on-line measurable process variables. The proposed PhD thesis is focused on the development of hybrid software sensors and data-driven software sensors with dynamically switched structure, that will be able to evaluate the quality of their estimation during the estimation process and continuously adjust the composition of their data inputs, i.e. use a different on-line measured variable or set of variables for each individual phase of the process.
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha

Modern machine learning methods in biomedical data analysis

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: prof. Ing. Jan Mareš, Ph.D.

Annotation


The aim of the dissertation is the design and implementation of a complex system for the analysis of biomedical data. Data for analysis will be provided/measured at the University Hospital of Královské Vinohrady Prague and the Hospital of the Pardubice Region. The system will (i) serve as an auxiliary tool for the specialist (MD) in the objective assessment of the patient's current condition, (ii) enable the analysis of one- and multi-dimensional data (mainly ECG, heart rate, movement data, possibly CT and NMR). The methodology used for the analysis will be based on classical statistical methods (OLR, RF, etc.) and will also use deep learning methods.
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha

Protective shields for autonomous systems against electromagnetic interference

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: doc. Ing. Dušan Kopecký, Ph.D.

Annotation


The rapid advent of autonomous systems such as robotic assistants, drones or self-driving vehicles has inevitably brought with it an increase in the use of positioning devices, such as microwave sensors, or advanced lidar, radar or radio technology. This also increases the likelihood of the occurrence of undesired interferences of this electromagnetic wave with the integrated circuits of the autonomous device, which may in turn lead to an increased probability of the occurrence of dangerous phenomena, including accidents and loss of life. The aim of this work is therefore to develop new materials for the attenuation of electromagnetic interference and to apply them as protective shields in the operating area of the electromagnetic spectrum of existing positioning systems. The work will focus on the search, synthesis and characterization of suitable electrical and magnetic materials and their nanostructured analogues and the subsequent design, manufacture and testing of new lightweight and flexible shields. Part of the work will also be modelling and evaluation of the shielding efficiency of protective shields in simulated and real conditions of operation of autonomous systems.
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha

Optimization of Statistical and Machine Learning Models for Multidimensional Data Processing in Chemistry

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: RNDr. Mgr. Pavel Cejnar, Ph.D.

Annotation


This work concentrates on the processing, reconstruction, and analysis of multidimensional signals, particularly those with significant interfering components. The analysis of mixed chemical samples, utilizing techniques such as mass spectrometry and capillary electrophoresis, generates a vast amount of data, often affected by numerous undesirable physical factors. The objective is to focus on identifying and optimizing suitable statistical and machine learning models. This includes comparing various models and refining them to emphasize the filtering of unwanted components, reconstruction of optimal signals, and direct extraction of significant values. The project involves collaboration with the Department of Biochemistry and Microbiology, leveraging their extensive experience in protein analysis through mass spectrometry.
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha

Elaboration of environmentally benign composites for shielding of electromagnetic interference

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: doc. Mgr. Fatima Hassouna, Ph.D.

Annotation


The project deals with design of environmentally benign composites in form of flexible free-standing films for electromagnetic interference (EMI) shielding application. The composites will be prepared from bio-sourced cellulose fillers and efficient receptors of EMI (e.g. supramolecular conducting polymers, carbon nanotubes, graphene, etc.) Novel approaches of matrix/receptor compatibilization will be designed. In addition, fundamental aspects governing the behavior of the composites will be studied to understand the interactions occurring between the phases of the composites and the structure-properties relationships. Thorough experiments in the DC and AC electrical field on the composites and their components will be performed to reveal patterns driving the resulting shielding efficiency. Finally, the synergetic effect of both receptors leading to the controllable EMI shielding efficiency by absorption or reflection will be studied.
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha

Sensor arrays of tactile temperature and pressure sensors

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: doc. Ing. Dušan Kopecký, Ph.D.

Annotation


Tactile temperature or pressure sensors are devices used in robotics to evaluate the robot's interaction with other objects. These include, for example, manipulating an object, measuring the slip of a gripped object, determining the coordinates of the position of the object or measuring the magnitude of the force acting on the object. The extreme case is complex tactile systems, the purpose of which is to simulate and replace human touch. The sensors used for these purposes must be sufficiently miniature, sensitive to small changes in pressure, must have favorable dynamic properties and time and operational stability of the parameters. Due to the expected high density of tactile sensors connected in simple applications, there must be the possibility of their operation in the form of sensor arrays and data processing using advanced mathematical and statistical algorithms. Last but not least, the cost of producing them must be reasonable so that they can be easily replaced in the event of wear. The aim of this work is therefore to develop new types of tactile temperature and pressure sensors based on modern nanomaterials, which can be used in experiments with the measurement of temporally and spatially distributed forces acting on the matrix of sensors. Part of the work will be the preparation, characterization and processing of thermoelectric and piezoresistive materials based on organic nanostructured semiconductors and carbon nanostructures. Testing of these substances will include, inter alia, structural, chemical and mechanical analysis and measurement of electrical properties in both direct and alternating electric fields. Selected materials will then be processed into sensitive sensors. Part of this work will also be the design of sensor arrays and their testing and signal processing using advanced algorithms.
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha

Application of machine learning methods for interdisciplinary analysis of geographic data

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: doc. Ing. Pavel Hrnčiřík, Ph.D.

Annotation


In the past decade, there has been a dynamic development of airborne laser scanning of the altimeter of the territory of most European countries, including the Czech Republic. Digital terrain models, which are one of the results of this laser scanning, provide an extremely large amount of detailed information about the nature of the earth's surface within the given territory. Manual analysis of these data sets is very laborious and lengthy and, in the case of examining larger areas, relatively inefficient, especially from the point of view of human labor costs. In this context, machine learning methods offer a promising alternative for solving this very topical problem. This work is specifically focused on the analytical processing of digital terrain models using machine learning methods for the purpose of identifying and classifying the relics of terrain objects created by human activity (use e.g. in archaeology, nature conservation, etc.).
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha

Development of modern electromagnetic radiation shields as passive protection of information against eavesdropping

Granting Departments: Department of Mathematics, Informatics and Cybernetics
Supervisor: doc. Ing. Dušan Kopecký, Ph.D.

Annotation


The proliferation of modern electronics, integrated circuits, microprocessors and communication and computer technology in general brings with it a high risk of disclosing critical information about the infrastructure in which these elements are used. In the extreme case, there may be a leak or takeover of administrative privileges, which can be misused for digital vandalism, disclosure of important information or attacks on the infrastructure itself. One of the very effective and difficult to detect methods of these attacks is the remote eavesdropping on information that is emanated from electronic devices in the form of electric or magnetic fields. With the development of inexpensive radio technology and as a result of readily available libraries and signal processing algorithms, such an attack may no longer be the sole domain of rich, state-sponsored organizations, but may gradually be adopted by the mainstream hacking community and misused for criminal purposes. The aim of this work is to explore the possibilities and develop and test light and flexible protective shields based on modern nanomaterials, which will serve as an effective passive protection of electronic devices against remote eavesdropping. For this purpose, new composite materials based on electrically conductive nanoparticles with magnetic properties will be prepared. The possibilities of their compatibility with the carrier, chemical structure and morphology, mechanical, electrical and magnetic properties and methods and the possibilities of their processing into the required shape and form suitable for use in miniature electronics will be studied. The experiments will also include testing passive shields in simulated and real conditions and evaluating their ability to dampen electromagnetic waves emitted by electronic devices.
Contact supervisor Study place: Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Updated: 9.2.2024 12:34, Author: Jan Kříž

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