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Measurement and Signal Processing in Chemistry (Czech language)
Doctoral programme,
Faculty of Chemical Engineering
CHYBI CHARAKTERISTIKA PROGRAMU
Studijní program je zaměřen na oblasti moderní senzorové techniky, chemických senzorů, modelování, simulace, identifikace a klasifikace (bio)chemických dějů, sběru a zpracování dat z chemických, biochemických a biologických vzorků. Teoretický základ programu tvoří principy funkce senzorů fyzikálních i chemických veličin, metody číslicového zpracování signálů a vybrané kapitoly z aplikované matematiky. Cílem studia tohoto programu je výchova doktoranda k samostatné vědecké práci v oblastech (i) moderních chemických senzorů, (ii) modelování, simulace a analýzy komplexních chemických procesů a (iii) moderních metod zpracování dat primárně z chemických, biochemických a biologických vzorků. Cílem je vybavit studenty pokročilými teoretickými znalostmi i praktickými dovednostmi a vychovat z nich samostatné vědecké osobnosti, schopné dále rozvíjet oblasti teoretického i aplikovaného výzkumu. Program navazuje na magisterský studijní program Senzorika a kybernetika v chemii a vhodně doplňuje nabídku ostatních doktorských programů na Fakultě chemicko-inženýrské. Program se svou náplní nepřekrývá s žádným programem na VŠCHT. Specifický rys studijního programu spočívá v tom, že navazuje na hluboké chemické znalosti studentů VŠCHT Praha a rozšiřuje je směrem k senzorové technice, sběru a zpracování dat z experimentu a k vytváření matematických modelů složitých průmyslových procesů. CareersAbsolvent je vzdělán multioborově a disponuje hlubokými znalostmi z různých odvětví měřicí a senzorové techniky, modelování chemických dějů, sběru a zpracování signálů. Má přehled v tématech spojených s: (i) konstrukcí a principy fungování senzorů i měřicích systémů a (ii) matematickými a statistickými metodami při zpracování signálů a obrazů. Je veden ke schopnosti pracovat samostatně i v týmu, formulace vědeckého problému, vytvoření koncepce jeho řešení a realizace výzkumu ve všech fázích tohoto procesu. Absolvent bude připraven navrhovat vlastní výzkumné či průmyslové projekty. Získá vědomosti a dovednosti, které mu umožní profesní adaptabilitu v konkrétních podmínkách v oblasti základního a aplikovaného výzkumu, v akademické sféře i v technologické praxi spojené zejména s chemickým a potravinářským průmyslem. Programme Details
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List of available PhD thesesAdvanced Methods of Adaptive Filtering for Novelty Detection
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.
AnnotationThe topic of the work is focused on the development and implementation of the methodology of so-called novelty detection in process data. The project is based on the analysis of selected real (complex) process data. The work assumes (i) study of advanced methods of signal analysis, (ii) design of specific methods and algorithms for adaptive data filtering and novelty detection using the Extrem Seeking Entropy method (iii) implementation and verification. Advanced Signal Processing Methods in Development of Virtual Control Board
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.
AnnotationThe 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 methods of facial data analysis for the evaluation of the rehabilitation process
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.
AnnotationAnalysis of biomedical data is currently in great demand, but at the same time quite a difficult task. The project is based on cooperation with the University Hospital Královské Vinohrady and is focused on capturing 3D facial data of patients after depth surgery and analysis of this data. The work assumes (i) the study of advanced methods of image analysis, (ii) the design of a specific methodology and algorithm for data acquisition using various HW tools: Kinect, mobile phone, etc.), (iii) processing of these biomedical data and (iv) implementation and verification in a hospital environment. Advanced statistical methods and their application on biomedical data
Department:
Department of Mathematics, Faculty of Chemical Engineering
Theses supervisor: Mgr. Ing. Pavel Kříž, Ph.D.
AnnotationBiomedical data often show very complex structure (many correlated variables, autocorrelation in time and/or space, high-dimensional data, high-frequency data etc.). Its correct statistical analysis is not a routine, it requires creativity in combination with use of various advanced statistical methods and techniques. The objective of this work is to explore and study advanced methods from different fields of statistics (such as multivariate statistics, time series analysis, functional data analysis etc.) and design their appropriate combinations (or develop their modifications) in order to extract important and useful information from selected biomedical data. Emphasis is put on rigorous approach to assumption verification and results interpretation (incl. assessment of their reliability using exact of simulation techniques). Application of data mining methods for monitoring and control of biotechnological processes
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Ing. Pavel Hrnčiřík, Ph.D.
AnnotationIn the research of biotechnological processes, experimental data of various structure and quality are generated. However, this highly heterogeneous data contains important information about the properties of these processes. This work is focused on the study and application of selected methods in the field of artificial intelligence and machine learning in the processing of this data. The acquired knowledge will then be used for advanced monitoring and control of the selected model biotechnological process. Application of spatial analysis methods for forensic sciences
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Ing. Pavel Hrnčiřík, Ph.D.
AnnotationMost of the data processed within the forensic sciences also includes a spatial component indicating the position of the described objects (eg GPS data). An important part of computer processing of this type of data thus includes the application of advanced methods of spatial analysis to determine selected contexts contained in the data. This work is specifically focused on advanced data processing and analysis describing the findings of various types of projectiles in the investigated terrain. Computer modelling of non-thermal plasma and electrical discharges
Department:
Department of Physics and Measurement, Faculty of Chemical Engineering
Theses supervisor: doc. Ing. Vladimír Scholtz, Ph.D.
AnnotationScope of this work is the computer modelling of non-thermal plasma in electrical discharges. It may help to clarify the plasma-chemical reactions in discharges and the spatial distribution of generated particles. Work deals with the issue of plasma physics, computer modelling, possible method for the modelling of selected problem and comparison with the experiment. It is also possible to combine this work with the investigation of bactericidal effects of plasma or the interaction with organic structures. Development of modern electromagnetic radiation shields as passive protection of information against eavesdropping
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses 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. Elaboration of environmentally benign composites for shielding of electromagnetic interference
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programmes: Molecular chemical physics and sensorics (Czech language), Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Mgr. Fatima Hassouna, Ph.D.
AnnotationThe 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. Hybrid nanosctructured lithium - ion batteries
Department:
Department of Physics and Measurement, Faculty of Chemical Engineering
Theses supervisor: RNDr. Pavel Galář, Ph.D.
AnnotationCurrent rapid developments in wearable electronics, production of electric energy from renewable sources, electric vehicles and other applications emphasizes increasing demands on the energy storage. While the standard lithium-ion batteries (LIB) seem to reach their maximum, new structural solutions are needed. As one of the most promising anode material for LIB technology is considered to be silicon. Silicon based anode has potential to increase storage capacity of the batteries about ten times in contrast to commonly used graphite. Unfortunately the silicon expands its volume by more than 300% during lithium charging that cause significant structural fractures and thus limits application of bulk silicon in LIB technology. The goal of this work is to study the applicability of nanostructured silicon as a part of LIB anodes and advanced flexible organic materials as electrode scaffold materials that would be electrochemically stable, highly conductive and strong and elastic enough to withstand the nanocrystal expansion. Preparation and characterization of silicon nanoparticles using non-thermal plasma technique
Department:
Department of Physics and Measurement, Faculty of Chemical Engineering
Theses supervisor: RNDr. Pavel Galář, Ph.D.
AnnotationSince the observation of efficient room-temperature photoluminescence (PL) of silicon nanocrystals (Si-NCs) these nanostructures have attracted significant attention. Much effort has been made to develop optimal preparation techniques and post preparation treatments of Si-NCs that would provide sufficient amounts of Si-NCs bearing properties specifically designed for a particular application (solar cells, light generation, bioimaging, biology and medicine etc.). One of the most promising preparation/termination techniques of Si-NCs proved to be the application of non-thermal plasma (NTP, radio frequency or dielectric-barrier discharge). In contrast to other techniques, the application of non-thermal plasma is capable of synthesising orderly higher amounts of Si-NCs (about 1mg/min) lacking of chemical artefacts. Student will optimize the preparation of Si-NCs by non-thermal plasma. Student will be opimiting mainly composition and flow of working and carring gas, plasma source power and studing the influence of ambient conditions on SI-NCs properties. Properties of NCs will be characterized mainly by time integrated and resolved photoluminescence spectroscopy and EDS. Processing of chemical sensor signals using artificial intelligence algorithms
Department:
Department of Physics and Measurement, Faculty of Chemical Engineering
Theses supervisor: prof. Ing. Dr. Martin Vrňata
AnnotationOne way to improve the selectivity and detection properties of modern chemical sensors is to use artificial intelligence algorithms. The topic of the thesis is to design, prepare and test new approaches for processing and extracting data from multi-component sources such as GC / IMS spectrometer, sensors and sensor arrays with response in the visual, infrared and radio-frequency fields of the electromagnetic spectrum. The solution assumes usage of hardware acceleration of data processing and software-defined radio. Protective shields for autonomous systems against electromagnetic interference
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses 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. Sensor arrays of tactile temperature and pressure sensors
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses 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. Software sensors for monitoring of bioprocesses
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Ing. Pavel Hrnčiřík, Ph.D.
AnnotationThe 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 work is focused on the study and application of the above methods for advanced monitoring of a selected biotechnological process. Synthesis and characterization of composite materials for silicon-based batteries
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programmes: Molecular chemical physics and sensorics (Czech language), Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Mgr. Fatima Hassouna, Ph.D.
AnnotationSilicon is considered as the most promising anode material for the next-generation Li-ion batteries because of its high theoretical specific capacity, wide elemental abundance and low discharge potential. Yet there are still too many serious issues that must be resolved before Si-based batteries are utilized, mostly related to the huge volume expansion of Si upon lithiation and the formation of the superficial oxide layer. Here we propose to develop tailored conductive and flexible matrixes based on nanoengineered Si nanocrystals (SiNC) embedded in a conductive and flexible carbon-based matrix that would incorporate a combination of binding, elastic, and conducting properties. Fundamental mechanisms related to the initial and long-term degradation of capacity in the nanosilicon materials will be investigated and conclusions will be drawn. The importance of topological indices for determining the similarity of molecules
Department:
Department of Computing and Control Engineering, Faculty of Chemical Engineering
Also available in programme: Measurement and Signal Processing in Chemistry
Theses supervisor: doc. Ing. Jan Mareš, Ph.D.
AnnotationUsing 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. Transport of charge carriers in nanostructured and nanocomposite materials
Department:
Department of Physics and Measurement, Faculty of Chemical Engineering
Also available in programme: Molecular chemical physics and sensorics (Czech language)
Theses supervisor: Ing. Přemysl Fitl, Ph.D.
AnnotationThe topic of the thesis is theoretical and practical study of charge transfer mechanisms in nano-structured and nano-composite materials prepared in the form of thin films, coatings and aerogels. The aim of the thesis is to design models describing the charge transfer in real materials used for chemical sensors. The properties of the nanostructured samples will be measured in the Quantum Design - PPMS system, depending on the temperature and intensity of the magnetic field. The work involves (i) modeling and simulating the transport of charge carriers using the finite element method, (ii) designing and implementing software for managing, collecting and processing data obtained from PPMS system; (iii) seeking an analytical model describing the real (measured) properties of the samples depending on their nanostructure. |
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Updated: 18.2.2020 13:59, Author: Jan Kříž