Full-time study

4 years

prof. Ing. Martin Hartl, Ph.D.

Chairman :
prof. Ing. Martin Hartl, Ph.D.
Councillor internal :
prof. Ing. Petr Stehlík, CSc., dr. h. c.
prof. Ing. Josef Štětina, Ph.D.
prof. Ing. Jiří Pospíšil, Ph.D.
doc. Ing. Petr Blecha, Ph.D., FEng.
prof. Ing. Pavel Hutař, Ph.D.
prof. Ing. Radomil Matoušek, Ph.D.
doc. Ing. Jaroslav Katolický, Ph.D.
doc. Ing. Jaroslav Juračka, Ph.D.
Councillor external :
Ing. Jan Čermák, Ph.D., MBA

The main goal of the doctoral study programme is, in accordance with the Higher Education Act, to train highly qualified and educated professionals who are capable of independent scientific, research and creative activities in the field of design and process engineering. The graduates are equipped with knowledge and skills that enable them to work at Czech or international academic institutions or research institutes. The programme focuses on theoretical knowledge as well as practical experience in the field of doctoral studies. Cooperation with international research institutes is highly supported. The study programme is designed to fulfil demands and meet societal and industry requirements for highly educated and qualified professionals in the fields of design and process engineering.
Doctoral study programme is primarily based on research and creative activities of doctoral students. These activities are intensively supported by student participation in national and international research projects. Research areas include design (analysis, conception, design of machinery, vehicles, machine production and energy) and process engineering (analysis, design and projection of processes in the engineering, transport, energy and petrochemical industries).

A graduate of the doctoral study programme is a highly qualified expert with broad theoretical knowledge and practical skills, which enables him/her to carry out creative and research activities both independently and/or in a scientific team. The graduate is acquainted with current findings in the field of design and process engineering and is able to apply the knowledge in his/her research or creative activities. The graduate is also able to prepare a research project proposal and to oversee a project. At the same time, the graduate is able to make use of theoretical knowledge and transfer it in practice. Moreover, the graduate can adapt findings from related disciplines, cooperate on interdisciplinary tasks and increase their professional qualifications. The graduate participation on national and international researches and cooperation with international research institutions contributes to higher level of their professional competences. This experience allows graduates not only to carry out their own scientific activities, but also to professionally present their results, and to take part in international discussions.
The graduate can demonstrate knowledge and skills in three main areas and the synergy produces great outcomes.
1. Broad theoretical knowledge and practical skills closely related to the topic of the dissertation (see below).
2. Professional knowledge and skills necessary to carry out scientific work, research, and creative activities.
3. Interpersonal and soft skills and competencies - the graduate is able to present their ideas and opinions professionally, is able to present and defend the results of their work and to discuss them and work effectively in a scientific team or to lead a team.
According to the topic of the dissertation, the graduate will acquire highly professional knowledge and skills in mechanical engineering, in particular in design and operation of machines, machinery, engineering processes and vehicles and transport vehicles. Thanks to the broad knowledge and skills, graduates can pursue a career in research institutes in the Czech Republic and abroad, as well as in commercial companies and applied research.

A graduate of the doctoral study programme is a highly qualified expert with broad theoretical knowledge and practical skills, which enables him/her to carry out creative and research activities both independently and/or in a scientific team. The graduate is acquainted with state-of-the-art findings in the field of design and process engineering and is able to apply the knowledge in his/her research or creative activities. The graduate is also able to prepare a research project proposal and to oversee a project. At the same time, the graduate can make use of theoretical knowledge and transfer it in practice. Moreover, the graduate can adapt findings from related disciplines, cooperate on interdisciplinary tasks and increase their professional qualifications. The graduate typically finds a job as a researcher, academic personnel, computer scientist or designer. The graduate is also well equipped with skills and competences to perform well in managerial positions.

See applicable regulations, DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)

The rules and conditions of study programmes are determined by:
BUT STUDY AND EXAMINATION RULES
BUT STUDY PROGRAMME STANDARDS,
STUDY AND EXAMINATION RULES of Brno University of Technology (USING "ECTS"),
DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)
DEAN´S GUIDELINE Rules of Procedure of Doctoral Board of FME Study Programmes
Students in doctoral programmes do not follow the credit system. The grades “Passed” and “Failed” are used to grade examinations, doctoral state examination is graded “Passed” or “Failed”.

Brno University of Technology acknowledges the need for equal access to higher education. There is no direct or indirect discrimination during the admission procedure or the study period. Students with specific educational needs (learning disabilities, physical and sensory handicap, chronic somatic diseases, autism spectrum disorders, impaired communication abilities, mental illness) can find help and counselling at Lifelong Learning Institute of Brno University of Technology. This issue is dealt with in detail in Rector's Guideline No. 11/2017 "Applicants and Students with Specific Needs at BUT". Furthermore, in Rector's Guideline No 71/2017 "Accommodation and Social Scholarship“ students can find information on a system of social scholarships.

1. A systematic approach to improving the quality of machined parts

   The topic is focused on research of advanced possibilities of surface quality assessment after machining. The aim is to develop a methodology for monitoring and evaluating profile and surface texture parameters in accordance with the trends of digitalization of industrial processes and production efficiency.

   Tutor: Jankových Róbert, doc. Ing., CSc.

2. Active flow manipulation for high manouverability UAV

   Active flow manipulation is novel approach in R&D in many areas of aerospace industry – commercial jet planes, unmanned combat aerial vehicles and smaller reconnaissance unmanned vehicles. Implementation of mentioned technology could decrease weight and increase aerodynamic efficiency of vehicle. It can be also used as a replacement of mechanical control surfaces, to increase manouverability and robustness of vehicle in a terms of stall behavior.

   Tutor: Jebáček Ivo, doc. Ing., Ph.D.

3. Active vehicle noise reduction

   The topic deals with active vehicle noise reduction. Current trends include not only reducing emissions from internal combustion engines, but also reducing vehicle noise. The common approach by modifying the various components of the drivetrain can be very expensive and thus can be a problem for some car companies. Therefore, it is necessary to extend them with more modern approaches such as active noise attenuation using a mechatronic approach and to develop these methods. Therefore, the new approaches would be tested both experimentally and virtually.

   Tutor: Kučera Pavel, doc. Ing., Ph.D.

4. Additivelly manufactured structures with shape memorry effect

   The aim of the work is to use the technology of selective laser melting to process an alloy with shape memory into the form of a structure. It is envisaged to study the process parameters for nickel-titanium alloy up to the level of very thin walls and rod structures. Study of mechanical properties of material depending on heat treatment. Study of the behavior of the shape memory effect depending on process parameters and transformation temperatures.

   Tutor: Koutný Daniel, doc. Ing., Ph.D.

5. Advanced bearing diagnostics for wind farms

   Wind power (WPP) is one of the world's most widespread alternative sources of electricity. The desire to maximize the efficiency of the plant leads to high demands on the mechaniocal design and high reliability of all structural components. Critical components include the driveline bearings. Due to the time-varying loads, it is difficult to reliably determine their service life. At the same time their failure during operation must be prevented, as the entire turbine can be heavily damaged and high reapair cost will be required. The aim of this work is to develop an advanced predictive diagnostic method for monitoring the technical condition of the wind turbine bearings using non-destructive testing methods.

   Tutor: Klapka Milan, doc. Ing., Ph.D.

6. Advanced Flow Analysis Procedures in Waste Management

   The doctoral thesis will be focused on analyses of current waste production and the whole waste management chain. Describing links in waste management is essential when creating advanced mathematical programming models. The core of the doctoral thesis will be the development of algorithms for reconstructing network flows. An important factor is the evaluation of the ambiguity of the solution and the design of an approach to identify its impact on waste producers. Special attention will be placed on the proper software implementation and exploitation of available capacities of calculation hardware. The following issues will be tackled: •Introduction to the problems of waste management and its influencing factors. •Extending knowledge of modern programming techniques and necessary mathematical apparatus. •Development and implementation of algorithms for estimating waste flow, focusing on final treatment. •Analysis of significant factors influencing subjects in waste management and their implementation into mathematical models.

   Tutor: Pavlas Martin, doc. Ing., Ph.D.

7. Advanced laboratory automation and data processing in health care

   Automation and intelligent data processing is an important element of modern laboratory practice. Laboratory automation and data processing in healthcare involves multidisciplinary strategic technologies. The goal is to design an autonomous laboratory for a given type of operation, in our case focusing on blood analysis and subsequent data processing with the support of artificial intelligence. The work will be carried out in collaboration with FN Brno (University Hospital Brno).

   Tutor: Matoušek Radomil, prof. Ing., Ph.D.

8. Advanced lane detection methods for autonomous vehicles.

   The topic deals with the extension of existing methods for recognizing lanes on the road. The method will be based on neural networks and will focus on the rapid recognition of lanes in adverse weather conditions, where this area is still problematic for driving an autonomous vehicle. The system would be based on products designed for this purpose and tested in operation.

   Tutor: Kučera Pavel, doc. Ing., Ph.D.

9. Advanced object recognition methods for autonomous vehicles

   The topic deals with the extension of existing methods for object recognition moving around a vehicle. The method will be based on neural networks and will focus on quickly recognizing an object in adverse weather conditions, where this area is still a problem for driving an autonomous vehicle. The system would be built on products designed for this and tested in operation.

   Tutor: Kučera Pavel, doc. Ing., Ph.D.

10. Advanced proactive multiparametric on-line and off-line diagnostics of electric drives of machinery

    The topic of the dissertation is focused on dealing with advanced proactive multiparametric on-line and off-line diagnostics of electric drives of machinery, authoritative evaluation of obtained data, storing the Internet of Things and subsequent active data processing with feedback influence on electric drive and machinery. The obtained results will be verified in selected engineering companies.

    Tutor: Hammer Miloš, doc. Ing., CSc.

11. Aerodynamic and structural optimization of cannopies of ballistic recovery systems

    There is ongoing dynamic development in the area of ballsitic recovery systems for general aviation and dthere are continuously growing demands on parachute performance. Aerodynamic and structural optimization in loop can increase performanc e beyond current status.

    Tutor: Jebáček Ivo, doc. Ing., Ph.D.

12. An experimental research on damage mechanism of journal bearings

    The work is focused on the experimental study of limit states and damage of large plain bearings for wind power plants. The aim is to implement advanced methods (vibrodiagnostics, acoustic emission) for condition monitoring and diagnosis of damage occurrence and propagation into the testing methodology.

    Tutor: Křupka Ivan, prof. Ing., Ph.D.

13. Analysis and search of local DNA structures

    The project represents the develop of a specialized software platform for DNA sequence analysis with focus on large volumes of data that will include required algorithms for search of structures like quadruplexes and for protein motifs analyses with visualization tools. Proposed software will be implemented as a web service and will be used for characterization and evaluation of the local DNA structures in DNA sequences with the focus to possibility to analyse whole genomes and different local DNA structures.

    Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.

14. Analysis of rough bodies lubrication by machine-based learning

    The aim is to apply algorithms of machine-based learning for experimental data analysis of lubricated point contacts. The theme deals with relation of friction and film thickness for real rough surfaces. Developed algorithms will find out new empirical dependencies by automatic analysis of large set of measured data.

    Tutor: Křupka Ivan, prof. Ing., Ph.D.

15. Application of artificial intelligence methods for on-line vibrodiagnostics

    The purpose of this work will be to design artificial neural network models for automatic diagnosis so that the classifier automatically recognizes anomalous states of a defined machine component. For example, AI algorithms can be trained to automatically recognize gearbox fault conditions without the supervision of a vibrodiagnostic engineer, both from acceleration time signals and from FFT spectra, spectrograms and orbits of shaft vibrations in plain bearings.

    Tutor: Matoušek Radomil, prof. Ing., Ph.D.

16. Application of coatings for the development of new-generation joint implants

    The goal is to provide a complex tribological description of joint replacements with applied coating. The research is based on the experimental investigation of friction, lubrication and wear with the use of biotribological simulators. Cooperation with both the academic and private sectors is expected, while the outcome of the thesis is in a new-generation implant which will be biocompatible and suitable for clinical testing.

    Tutor: Nečas David, doc. Ing., Ph.D.

17. Application of machine learning in wastewater treatment

    The thesis deals with the highly topical issue of industrial wastewater management. These waters are generated in industrial and agricultural production, where they are contaminated with various organic or inorganic substances. The pressure on the environmental sustainability of industrial processes makes it challenging for producers to treat wastewater in a way that does not impose a significant burden on the environment. As these are often quite complex systems, both in terms of design and operation, which are both investment and operationally demanding, various ways are being sought to make these systems more efficient. Today, machine learning is helping to achieve better results in many areas of industry and there is therefore a possibility of applying it to industrial wastewater management systems as well. This thesis is aimed at investigating the potential of using machine learning in the given problem and several topics are proposed. Wastewater has a very diverse composition and the conditions into which the technology for its treatment is designed are also diverse. One potential application of machine learning is a design tool that would propose an optimal process layout based on inputs (flow rate, composition, output requirements, waste heat availability, etc.) according to a selected criterion (e.g. minimum energy consumption). It would therefore be the use of machine learning and process simulation as a data generator for learning. Other possible area is operation and control. With increasing digitalization, a higher volume of operational data is generally expected, the analysis of which can serve both as a diagnostic tool and as a management support. With sufficient volume of operational data, further potential would lie in the creation of a digital twin technology that could be used for an even more advanced form of control.

    Tutor: Máša Vítězslav, doc. Ing., Ph.D.

18. Automatic annotations for Deep learning

    The topic deals with automated data annotation for Deep learning. The current development of autonomous vehicles is combined with artificial intelligence and various types of machine learning such as Deep learning. These neural networks need a large amount of data for their learning. It is used for the classification of objects around autonomous vehicles. In this data, it is necessary to mark the relevant objects in either 2D or 3D. With the common approach of manually creating annotations with respect to the amount of data in the millions and more files, this is not feasible. Therefore, existing methods need to be spread. Or invent new ones so that such a large amount of data can be processed and thus save development time.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

19. Bio-inspired robots - advanced autonomous control of a robotic spot based on artificial intelligence methods

    Spot is a small four-legged robot that weighs around 40 kilograms and is completely electric, with a 60-minute battery life on a single charge. The robot is equipped with sensors that include stereo cameras, depth cameras, an inertial measurement unit, and position/force sensors in the limbs. Research related to artificial intelligence, including autonomous driving, mission strategy and computer vision, will be conducted on this robot. The control unit for the AI is the Jetson Xavier NX / Orin NX.

    Tutor: Matoušek Radomil, prof. Ing., Ph.D.

20. Biotribology of artificial tears for the treatment of dry eye syndrome

    The goal of the research is an experimental description of the development of the eye tear film using a unique eye simulator and the optical method of fluorescence microscopy. The work will be focused on clarifying the effects of artificial tears developed in the form of eye drops, which are applied in the treatment of dry eye syndrome. Various tribological models of the eye will be considered, including a dissected rabbit eye.

    Tutor: Vrbka Martin, prof. Ing., Ph.D.

21. Compensation of movement distortions in hyperspectral imagining

    Colour cameras separate the visible part of the electromagnetic spectrum into three spectral bands. Cameras that can separate the spectrum into tens to hundreds of bands are called hyperspectral cameras. Hyperspectral cameras with a high number of bands work similarly to line cameras, i.e. it is necessary to ensure movement of the camera or of a scanned object so that the entire object is gradually captured. Any additional movement (either of the scanned object or of the camera) leads to unwanted distortions of the resulting image. The main aim of the work is to design methods that suppress or eliminate this type of distortions.

    Tutor: Šeda Miloš, prof. RNDr. Ing., Ph.D.

22. Composite structures under dynamic loading

    Currently, behavior description of metal structure under dynamic loads is standard, with evaluation of the cyclic load or impact problems and structure warping during crash. The aim of the work should be FEM modeling system of structure behavior describing the real behavior under dynamic impact and design of damping elements ensuring the protection of the crew of the aircraft on impact. As part of the work is expected wide research of the present state, mastering the available standard FEM solvers, design methods, proposal of modeling and evaluation methods, and demonstration on real part of the structure.

    Tutor: Juračka Jaroslav, doc. Ing., Ph.D.

23. Comprehensive approach for developing energy strategies with a focus on the municipal sector

    The dissertation will focus on a conceptual and comprehensive approach to developing strategic energy plans in microregions and cities. Due to the newly emerging trend, where the existing energy utilities should be transformed, should integrate higher shares of renewable resources and should reduce the carbon footprint, the need for the creation of a systematic tool is growing. The tool will identify the necessary data, gather the data, analyze the data and creates recommendations. The work will combine theoretical knowledge in energy resource modelling with industrial and municipal sector requirements. One of the critical outputs of the work will be developing a screening tool of technologies for energy production. The tool will respect the specific requirements of the region in which it will be deployed (especially the Czech Republic) and will be based on technical-economic models of relevant detail. Emphasis will be placed on the effective implementation of the tool. The tool will be validated through case studies. Solution procedure: • Familiarization with the issue of municipal energy infrastructure and the aspects that affect it. • Analysis of available data for conceptual modelling • Study and analysis of suitable technologies concerning the geographical and infrastructural limits of the Czech Republic. • Design and implementation of a screening tool • Solution of case studies.

    Tutor: Pavlas Martin, doc. Ing., Ph.D.

24. Deep learning applied to computer vision for robotic applications

    There are many applications of DL in the field of machine vision. This work will primarily focus on semantic segmentation of image data. Semantic segmentation attempts to classify each pixel in an image into one of several classes, such as human, robot, or car. The overall goal of semantic segmentation is to separate objects from the background. Applications include self-driving cars, robot-human interaction, or other computer vision applications where it is important to understand what is happening in the image while rejecting the noise.

    Tutor: Matoušek Radomil, prof. Ing., Ph.D.

25. Design and experimental valisation of unmanned aerial vehicle rotor blades

    Modern area of UAV rotorcraft needs specific design of rotors and particularly rotor blades. Due to very specific regimes and high demands on performace is necessary to perform optimization in the area of aerodynamics, aeroelasticity and structural design. The goal of thesis should be advanced design of rotorblades for high performance UAV rotorcraft.

    Tutor: Jebáček Ivo, doc. Ing., Ph.D.

26. Design of a fast semi-active damper with electromagnetic valve for rail vehicles

    The current development of rolling stock chassis shows considerable potential for improving the ride characteristics by using semi-actively controlled dampers. The benefits of fast magnetorheological dampers have been verified in simulations currently, but such dampers are expensive and too progressive for conservative rail vehicle development community. These problems could be eliminated if conventional hydraulic semi-active dampers with solenoid valve control capability were available on the market. However, the response of damping force to the control signal in available dampers of this type is too slow. Therefore, the aim of this work is to develop and experimentally verify a semi-active damper with a solenoid valve with fast time response.

    Tutor: Klapka Milan, doc. Ing., Ph.D.

27. Design of semiactive suspension systém for mountain bikes

    The aim of the work will be to develop a system of intelligent mountain bike suspension. Current commercially available electrically controlled bike suspension systems do not exploit the potential for fast semi-active control. Current systems only allow automatic control of valves, which used to be set manually on older models. However, due to the quality of the ride, these electrically controlled shock absorbers are not able to provide better driving characteristics compared to the optimally set passive or adaptive shock absorber. Fast semi-active damping with magnetorheological dampers enables a qualitative improvement in the achievable driving comfort and wheel grip on the road. Demonstrators of individual components are currently being developed. However, it will be necessary to integrate these components into the entire functional system and experimentally verify the functionality. The focus of the work will be mainly on finding the limiting properties of real elements of the system (dampers, sensors, etc.) and the subsequent design of optimal system control. An important part of the work will be driving tests.

    Tutor: Kubík Michal, doc. Ing., Ph.D.

28. Development and Implementation of Algorithms into Software Products for Waste Management

    This dissertation will aim to develop analytical tools in the field of circular economy, with a specific focus on waste transportation including the algorithmization of efficient search of large networks. The student will expand his knowledge of programming and statistical methods to apply them to monitored data. In developing a novel analytical approach for evaluating extensive studies, the student will utilize existing complex tools such as NERUDA, TIRAMISO, REVEDATO, and POPELKA developed at the Institute of Process Engineering (ÚPI). The student will further develop these tools using newly designed algorithms and thus expand their functionality. The programming activities will focus on appropriate software implementation and utilizing available computational resources. The motivation for this work stems from the need to implement advanced mathematical models into computational tools used in industrial practice. The following issues will be tackled: • Introduction to circular economy and waste management issues and related mechanisms from the operation. • Understanding the principles of existing computational tools at the Institute of Process Engineering (NERUDA, TIRAMISO, REVEDATO, POPELKA, etc.). • Extending knowledge of modern programming techniques and necessary mathematical apparatus. • Development and implementation of algorithms into existing or newly emerging software with a focus on industrially oriented applications.

    Tutor: Pavlas Martin, doc. Ing., Ph.D.

29. Development of a magnetorheological shock attenuation system for military applications

    In military applications, effective shock attenuation is an important requirement. This may include damping of gun recoil, damping of seats in the event of a vehicle explosion or fall, and more. Current scientific contributions reveals that the combination of a magnetorheological (MR) suspension system together with semi-active control can be a significant advance in this area. Typically, piston velocities are in the units of m/s and high damping forces are achieved. These are therefore quite extreme operating conditions for dampers. The main focus of this work will be study of the behaviour of MR fluid at high velocities and the subsequent application of this knowledge to the design of a magnetorheological damper. The design of sensors and damper control will be important as well. The main focus of the work will be the development and experimental verification of MR suspension systems operating at high piston velocities.

    Tutor: Klapka Milan, doc. Ing., Ph.D.

30. Development of a mixing system for 3D printing of additived cement composite mixtures

    The goal is to design and verify the components of the mixing device to achieve the homogeneity of the cement-composite mixture suspension during continuous addition of the base mixture. The extrudate will be additive with one or more components with different rheological properties and chemical composition. In order to ensure the correct properties of the mixture, it is necessary to achieve an even distribution (homogeneity) of the individual mixed components within a relatively short time. Sub-goals: 1. Determination of the methodical development process from simulation through device manufacturing ending by device verification. 2. Definition of the hypothesis about the influence of the selected equipment parameters on the homogeneity of the mixture. 3. Design, manufacturing and experimental operation of experimental prototypes. 4. Description of the influence of the geometry of the mixers on the degree of homogeneity of the mixture. 5. Description of the influence of process parameters of the device (e.g. revolutions) and their influence to material properties and process parameters of 3D printing. 6. The result is either 3 impacted publications or 3 registered intellectual property outputs of at least utility model (can be combined).

    Tutor: Koutný Daniel, doc. Ing., Ph.D.

31. Development of a semi-actively controlled suspension system for electric trainsets

    The current development of railway boogie shows considerable potential for improving ride characteristics using semi-actively controlled dampers. However, most of the available information is based on data obtained based on simulations. The main aim of this thesis is to verify the benefit of a semi-actively controlled suspension system experimentally. A significant part of the thesis will be developing a suitable damping element and its tests on a single-floor electric unit. Tests on the InterPanter electric unit on a real track are planned for 2024.

    Tutor: Kubík Michal, doc. Ing., Ph.D.

32. Development of a semi-actively controlled vibration isolation system based on magnetically active elastomers

    Intensive development and research is currently underway in the field of magnetically active elastomers and their applications. These materials can reversibly change their stiffness depending on the applied external magnetic field. An interesting application of these materials are intelligent vibration isolation systems or silent blocks that can real-time respond to loads. The main goal of the thesis is the development and experimental verification of a vibration isolation system working with a magnetically active elastomer.

    Tutor: Kubík Michal, doc. Ing., Ph.D.

33. Development of spray systems for application of nanoparticle surfaces

    Nanocoatings, with thicknesses below 100 nm, are used in a wide range of applications where surface properties need to be modified while maintaining the original dimensions. Nano-coatings are widely used especially as protection against abrasion and IR radiation, the advantage of coatings is greater chemical and corrosion resistance, the possibility of altering friction and thermal resistance. Different methods can be used to deposit nanoparticles, such as X-ray lithography, nanografting, electroplating or spray coating. The main requirement is ease of application, low and homogeneous layer thickness over the entire surface. This dissertation focuses on the formation of nano-coatings by spraying, where the final quality of the coating is influenced by the chemical composition of the solution, the concentration of the nanoparticles, the type of atomization device chosen and the interaction of the aerosol with the surrounding environment before application to the surface. The resulting quality of the applied layer may not exhibit optimal parameters if the spray equipment is not properly selected or if the application conditions are inappropriate. The aim of this work is to assess the effect of aerosol formation (grid atomizer, ultrasonic atomizer, dual media atomizer) and ambient conditions (humidity, temperature, flow rate) on the quality of the deposited layer for the chemical solutions used with a wide concentration of nanoparticles. The topic is multidisciplinary. It has full technical and material support, especially laboratory equipment, technology and material for experiments. Partial financial support of the student from the project is assumed. The topic is related to an existing or submitted research project. Several months of internship at a foreign institution with the intention of strengthening international cooperation, participation in technical seminars and presentations at conferences are foreseen. The supervisor will be contacted by the applicant and the details of the study will be discussed prior to admission.

    Tutor: Jedelský Jan, prof. Ing., Ph.D.

34. Development of structured magnetic circuits

    The aim of the topic is the research and development of structured magnetic circuits manufactured by 3D metal print. The topic can be focused on several fields, such as: (i) development of structured rotors of electromotors; (ii) development of pistons for fast magnetorheological dampers; (iii) development of fast electromagnetic valves and actuators.

    Tutor: Kubík Michal, doc. Ing., Ph.D.

35. Digital twin of sensors for the automotive industry

    The topic deals with the development of methods for creating digital twin of sensors in the automotive industry. For the current trend of autonomous vehicles, it is necessary to sufficiently test the control algorithm and, for example, within the MIL testing to simulate the function of sensors such as lidar, radars, etc. Therefore, a suitable approach is to use a digital twin. For the digital twin to behave realistically in every situation, it is necessary to extend the methods of creating a digital twin of specific sensors and thus improve the development of autonomous vehicles. Verification of new approaches would be on the reference project for the development of autonomous management.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

36. Digital twin of wheel-rail contact

    The aim of the work is to use experimental methods to develop a model that will describe the frictional behavior of the wheel-rail contact in the presence of lubricants. The model will use real-track data to predict contact friction, allowing the lubrication system to recognize when re-application of lubricant is necessary. The result of the work will have an effect on a more efficient process of lubrication of the contact between the wheel and the rail. Lubricant consumption will be optimized while the wear of contact bodies is reduced.

    Tutor: Hartl Martin, prof. Ing., Ph.D.

37. Distributed optimazation systems

    The distributed approach is the current trend in many areas of computer applications, in communications, databases, calculations, control applications, and many others. For all these areas, optimization is an important part of their implementation. Distributed Optimization Approach allows to customize the structure of solved optimization tasks to real-world conditions where sub-optimization can be performed at lower levels to interact with other sub-optimizations that will contribute to the overall result.

    Tutor: Roupec Jan, doc. Ing., Ph.D.

38. Energy balance analysis of the work machinery hybrid powertrains

    The focus of the thesis is the energy balance analysis in different operating modes of work machinery with a hybrid powertrain. The goal is research of the performance parameters progress of the machinery powertrains and effective power distribution to the individual parts of the hybrid powertrain. The thesis is oriented on the modelling and numerical simulation of a real system using MBS. The experimental part mainly deals with the validation and verification of the proposed models.

    Tutor: Škopán Miroslav, doc. Ing., CSc.

39. Engineering optimization using mixed surrogate models and bio-inspired algorithms

    Complex engineering problems in the modern era are challenging to solve mainly due to their numerical modeling and analytical complexities. This work will be addresses the use of surrogate model–assisted bio-inspired optimization algorithms for handling the solution of large-scale and high-dimensional computation-intensive optimization problems.

    Tutor: Matoušek Radomil, prof. Ing., Ph.D.

40. Evaluation of the fatigue life of primary composite structures

    The main goal of the doctoral study should be to solve the method of approach to the primary aircraft all-composite structure from the perspective of fatigue life. The output of the work should be a methodology for determining the residual life of the structure as a result of cyclic loading only, i.e. without the influence of the environment. The use of a methodology based on the growth rate of delamination is assumed. For experimental research, it is assumed that fatigue tests of samples of all-composite aircraft beams will be carried out. The initial task of the dissertation lever should be to summarize the current knowledge in the field of fatigue behavior of composite materials, tests, definition of different types of life evaluation and requirements of aviation regulations. In the next part of the work, the doctoral student should propose a methodology for determining the service life of the structure, substantiate the methodology with experimental research and process it into a form that enables direct application in industry.

    Tutor: Juračka Jaroslav, doc. Ing., Ph.D.

41. Flight control of uncertain models

    Automated flight control allows system operation with better performance and efficiency compared to human control. It is necessary to consider the nonlinear behavior of the systems as well as the degree of uncertainty of their state variables to achieve the best results. One of the possible control options for such systems is Incremental Nonlinear Dynamic Inversion (INDI). This nonlinear method replaces the need for the exact model knowledge by measuring angular velocities in feedback. Therefore, it is suitable for use on flexible wings as well as fail-safe systems. The INDI method will be applied to a morphable flexible wing within the BAANG project (Horizon Europe Programme, Reg. No. 101079091). Furthermore, the INDI will be applied to FBW topic currently solved at IAE.

    Tutor: Hlinka Jiří, doc. Ing., Ph.D.

42. Friction reduction by nanoparticle containing lubricants

    The aim is to achieve regime of ultra-low friction in point contacts by synergy of surface parameters and nanoparticles immersed in fluid lubricant. It contains analysis of friction, wear and film thickness under boundary and mixed lubrication regimes. New technology enables to decrease power losses in tribological interfaces.

    Tutor: Křupka Ivan, prof. Ing., Ph.D.

43. Increasing performance parameters of hydrostatic bearing

    The aim is manufacturing and power optimization of the pocket and recess geometry of a large-scale hydrostatic bearing using CFD simulation with experimental verification. This is an experimental research work leading to the reduction of the loss factor and energy efficiency of hydrostatic bearings.

    Tutor: Svoboda Petr, doc. Ing., Ph.D.

44. Increasing the production accuracy of CNC milling machines

    The aim of the work is to design a model describing the geometric behavior of the CNC milling machine during the machining process by means of experimental methods. The model will use data obtained from the manufacturing process, and the work will include the development of an interface for communication and data processing between the machine and an industrial computer. The output of the work will have a direct impact on increasing manufacturing accuracy and reducing the production of nonconforming parts.

    Tutor: Holub Michal, doc. Ing., Dipl.-Ing, Ph.D.

45. Influence of non-stationary electric field on behavior of ionic liquids

    The aim is to clarify the mechanism of forming a lubricating film in highly loaded contacts lubricated by ionic liquids under the influence of an unsteady electric field. This is an experimental work based on the use of colorimetric interferometry, which includes the development of an experimental simulator for measuring the friction, thickness and temperature of the lubricant.

    Tutor: Svoboda Petr, doc. Ing., Ph.D.

46. Intelligent object distance detection system for autonomous vehicles

    The topic deals with extending existing methods for detecting the distance of an object moving around a vehicle. The method will be based on neural networks, stereo camera or lidar and will focus on quickly determining the distance of the object in adverse weather conditions, where this area is still problematic for driving an autonomous vehicle. The system would be built on products designed for this and tested in operation.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

47. Investigation of hydrodynamic cavitation and supercavitation for water treatment device CaviPlasma

    The CaviPlasma device combines hydrodynamic cavitation and low-temperature plasma discharge to clean wastewater from biological pollutants (bacteria, cyanobacteria) but also from residues of pharmaceuticals, contraceptives, pesticides, etc. The aim of the dissertation is to optimize the hydraulic part, i.e. to investigate the optimal generation of cavitation or supercavitation to ensure effective elimination of contaminants. A combination of CFD simulations and experimental research in a hydraulic laboratory using high-speed visualisation will be used. Translated with www.DeepL.com/Translator (free version)

    Tutor: Rudolf Pavel, doc. Ing., Ph.D.

48. Linking machine learning methods and multi-body computational models to improve tractor workflow efficiency

    Increasing the efficiency of agricultural machinery is one of the tools leading to the development of modern and sustainable agricultural practices. The tractor is considered to be the most representative machine for agricultural production, mainly due to the possibility of combining it with a wide range of working tools, one of which is the front loader, allowing the handling of different types of materials or loads. The position of the machine's centre of gravity (which changes dynamically with the actual position of the front loader) plays a key role in front loader operation in terms of stability and safety (against tipping). Add to this the aspect of dynamic changes in the speed (and reversal) and direction of travel of the tractor, and in practice it is very easy to lose stability (typical combination of fast driving, turning and raised boom of the front loader). Tractor manufacturers have set limits for this type of work in terms of speed, boom height or load weight. Due to the conservatism of these limits, the potential of the machine is not fully exploited and the use of a combination of multi-body modelling and feedback learning tools opens up scope for improving the efficiency and safety of this type of work. The aim of this dissertation is to develop a multi-body based computational model representing the dynamic properties of the key functional units of a tractor front loader assembly, and then to design a virtual environment that allows the application of feedback learning algorithms to optimize the control during a specific work operation. Thus, the resulting computational model will allow a virtual representation of the physical properties of the machine, while the implementation of control using machine learning tools will provide an increase in the efficiency of the performance of a given work process, which in practice is significantly dependent on the experience of the operator.

    Tutor: Koňas Petr, doc. Ing., Ph.D.

49. Liquid and steam flow dynamics and distribution in a stripper in the system of CCUS (Carbon Capture, Utilization and Storage.

    Experimentally and computationally study two different types of rotating devices designed to release CO2, captured in a liquid "solvent" (which is a liquid chemical that absorbs CO2, such as various amines) in a CCUS - Carbon Capture, Utilization and Storage system. The CO2 that is captured in the absorber must then be released and, after its compression, transported for further use, or stored temporarily in underground geological structures. The release of CO2 from a liquid solvent (called stripping or simply desorption) is energy intensive and requires very efficient equipment. An advanced solution is the use of various rotating devices (rotating packed bed) or discs (spinning disc). In both variants, the solvent must be heated, which is most often done by slightly superheated steam, which heats the rotating surface, from which the solvent is heated and CO2 is released from it. The subject of the doctoral study will be to first assess both variants (rotating packed bed and disc) and then prepare an experimental stand and optimize the function of the stripper with the help of experiments and computer simulations with the goal of the lowest possible energy consumption. Note: To release CO2, it is necessary to bring the desorption heat (to release CO2 itself from the liquid) and the latent heat of evaporation to produce slightly superheated steam to heat the rotating packed bed/disc and the solvent. The task will also be energy consumption, the amount of CO2 released and the possibility of heat recovery from steam condensation. The study will be part of the project of the National Center of Competence Energetika II and cooperation with an industrial partner. From both sources, it will be possible to pay the student a scholarship or pay him a partial salary in another form. During the solution, it is possible to cooperate and maintain contacts with Newcastle University in Great Britain, where you can also go for an Erasmus internship. This doctoral study is suitable for a student of the Institute of Process Engineering or the Energy Institute, and it is assumed that the student will be interested in practical experimental work and computer simulations.

    Tutor: Jícha Miroslav, prof. Ing., CSc.

50. Lubrication of single-used components in space applications

    The aim of the work is to experimentally investigate the lubrication of components in space applications that perform only one or a low number of cycles. These may be, for example, pins of pyrotechnic actuators, springs for unwinding solar panels, screws, etc. These components usually only have to complete one duty cycle, but with high reliability. The work will focus on describing the lubrication options for these parts and explaining the nature of the function of each lubricant depending on the method of application and in combination with the materials of the parts.

    Tutor: Křupka Ivan, prof. Ing., Ph.D.

51. Magnetically active elastomers

    Magnetically active polymers are materials that can change their stiffness, damping or dimensions depending on the applied external magnetic field. The rate of change of these properties is primarily determined by the composition of the elastomer. It turns out that the rate of change of these properties, to a step change of the magnetic field, is an unexplored area. The goal of the topic is the research and development of magnetically active elastomers with a focus on their dynamic behavior. The results of this research can be used to develop a new generation of vibration isolation systems, sensors or actuators. The use in bioapplications also seems promising.

    Tutor: Kubík Michal, doc. Ing., Ph.D.

52. Modeling and implementation of digital factory logistics concepts into a real manufacturing system

    The term digital factory represents a created virtual computer model corresponding to a real manufacturing system. The next step of the digital transformation is the interconnection of the virtual model and the real system using different communication protocols. The subject of this thesis is the research of this connection, the exposure of its possibilities and the proposal of new concepts for the easier implementation of the digital factory in the real production process.

    Tutor: Škopán Miroslav, doc. Ing., CSc.

53. Modelling and Integration of Stochastic Operating Parameters in Collection Problems

    The dissertation will focus on identifying significant operational parameters in waste collection planning. The newly acquired knowledge will be used for modelling the variability in individual routes and repeating units of the collection plan. The thesis core will consist of a formal description of the proposed models and new heuristic algorithms that consider the stochastic nature of the selected input data. The work results will be used in the POPELKA web application, which is being developed at the Institute of Process Engineering. The following issues will be tackled: • Getting to know waste management, focusing on the operational parameters of municipal waste collection. • Extending knowledge of modern programming techniques and necessary mathematical apparatus. • Statistical analysis of significant stochastic factors affecting production in repeating collection cycles, traffic flow in areas, and the service time of collection points. • Development of optimization models and heuristic algorithms to design waste collection plans.

    Tutor: Pavlas Martin, doc. Ing., Ph.D.

54. Modelling of population evacuation in risk zones

    With the development of industry and the construction of large units, the potential danger to the population from accidents increases. Linked to this is the need to develop plans to evacuate the population in disaster-stricken areas. In general, two cases can be distinguished where a sufficient number of means of transport must be available to evacuate all residents in the shortest possible time for evacuation; in a less critical case, the population can be gradually withdrawn with small amount of resources. The aim of this work is to model transport operations during evacuation and minimize its completion taking into account all restrictive conditions in relation to the area and the level of risk, such as population density, number and capacity of means of transport, distance of collection points etc.

    Tutor: Šeda Miloš, prof. RNDr. Ing., Ph.D.

55. Modelling the transient behaviour of suspensions in point body contacts

    The work is focused on the use of CFD/DEM methods to model the behaviour of water and solids suspension in concentrated contacts. The aim is to provide a theoretical explanation of the transient behaviour associated with drop in friction in these contacts.

    Tutor: Hartl Martin, prof. Ing., Ph.D.

56. Modification of the properties of the support system of CNC turning machines with a horizontal spindle axis

    The support system of CNC machine tools must withstand the effects of external influences so that the machine maintains production accuracy in the long term. The support system is one of the main parts of the CNC machine tool, which plays a significant role not only in production, but also in geometric accuracy. Among the influences that have a negative effect on the machine, we count the change in temperature around the machine, the technology and the chip machining strategy. The geometric shape of the supporting bodies of the machines, the topology and the chosen material from which the body is made can significantly affect the negative consequences arising from temperature changes and the machining strategy. The goal of the work is to use a system approach to find the optimal solution of the support system for this type and type of CNC machine tools.

    Tutor: Marek Jiří, prof. Dr. Ing., Ph.D., DBA, FEng.

57. Modular CNC machine tool system for circular economy

    The aim of the manufacturers of CNC machine tools is to satisfy the customer's needs to the maximum. One of the ways to achieve this is to have a consistent modular system, which will allow the machine tool to be efficiently manufactured according to the customer's wishes from individual building modules. In addition, it is desirable to think about the principles of the circular economy. The aim of the thesis is to select representatives of the type and type of CNC machine tool, on which the principles of modularity and the principles of the circular economy will be applied. All this must be preceded by a thorough analysis of the essential quantities that influence this proposal. The design of the modular system will be consistently solved with a system approach.

    Tutor: Marek Jiří, prof. Dr. Ing., Ph.D., DBA, FEng.

58. Multi-material 3D printing for space applications

    The aim is to investigate the influence of process parameters on the multi-material interface of two metallic materials created using the additive process of laser powder bed fusion (LPBF). Part of the job is finding a suitable material combination. The first possible focus is thermally stressed components of the rocket motor body type, where the interface of a copper-based alloy and a nickel superalloy needs to be processed. The second option is to focus on the titanium-aluminum alloy interface, which aims at structural parts of the satellite requiring good strength and at the same time good local thermal conductivity.

    Tutor: Koutný Daniel, doc. Ing., Ph.D.

59. Optimisation of Serviceability in Network Applications

    n applications that serve locations deployed in a large area for certain customer service, it is a typical task to minimise these locations so that each customer has at least one of the centers at the available distance. The problem of coverage for this task has O (2 ^ n) complexity, where n is the number of given places and it is necessary to solve it by heuristic methods for the "large" instances of the problem. However, the task has even more complex formulations considering service capacities and customer requirements. In the dissertation the aim is to apply a general problem solving in the problems of communication of 5G mobile networks and data storage in NoSQL databases.

    Tutor: Šeda Miloš, prof. RNDr. Ing., Ph.D.

60. Optimization of electric vehicle power elements to reduce energy consumption

    The topic deals with the optimization of the power elements of the electronic circuit of an electric vehicle. The current trend of electric cars also brings several problems. One of them is the driving distance and the effort is to increase this parameter of the electric car. Therefore, it is very important to pay attention to the power electronics of the vehicle, where there are significant energy losses by switching on and off e.g., Mosfet. Therefore, it is necessary to focus on the development of the electronic components themselves and improve their properties, thus optimizing the entire energy flow management.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

61. Optimization of surface texturing towards extended service life of joint replacements

    The goal is to optimise the parameters of artificial texture applied to the surface of replacements of large joints. The effort is to improve lubrication conditions and minimise friction and wear, thus extending the service life of the replacement. Cooperation with both the academic and private sectors is expected, while the outcome of the topic is represented by the prototype of a modern implant suitable for clinical testing.

    Tutor: Nečas David, doc. Ing., Ph.D.

62. Particle emissions from rail transport

    The work deals with experimental research on the emission of particulate matter from the wheel-rail interface, especially during the application of lubricants and materials for traction enhancement. The aim is to describe the critical factors influencing their formation and effect on the environment.

    Tutor: Hartl Martin, prof. Ing., Ph.D.

63. Predicting the geometric accuracy of a multi-functional cylindrical grinding machine

    The aim of this work is to design a model that will predict the TCP behavior of a multifunctional cylindrical grinding machine based on partial geometric errors of the machine to adjust the compensation on the machine. During the grinding process on a multi-functional cylindrical grinding machine, deviations between the tool and the workpiece occur. These deviations are dependent on the choice of grinding technology. The proposed model will respect the selected grinding technology and adjust the compensation tables accordingly. The work will also include concepts for integrating sensors into the machine to obtain the necessary data for TCP prediction calculations. The output of the work will have a direct impact on the improvement of the geometric accuracy of the multifunctional cylindrical grinding machine.

    Tutor: Holub Michal, doc. Ing., Dipl.-Ing, Ph.D.

64. Prediction of wear of dental filling materials during tooth cleaning

    The research is focused on analyzes of the wear of dental filling materials as a result of brushing the teeth with a toothbrush and toothpaste during daily oral hygiene. This is an experimental work, in which the effects of the dental filling material, the shape of the tip and the hardness of the brush fibers, the abrasiveness of the toothpaste, and the effect of using a manual and electric brush will be discussed.

    Tutor: Vrbka Martin, prof. Ing., Ph.D.

65. Research and development of hydrogel-based artificial cartilage

    The main goal of the topic is in research, development and complex description of the hydrogel-based material, which may be potentially used to replace joint cartilage. The research is based on experimental investigation using biotribological simulators and the evaluation of mechanical and viscoelastic properties. The outcome of the thesis will be represented by the material, which can be used for partial or complete cartilage replacement without the need for the application of total joint replacement.

    Tutor: Nečas David, doc. Ing., Ph.D.

66. Research and development of magnetorheological fluids

    The main aim is the research and development of a new generation of magnetorheological fluid with high sedimentation stability, suitable rheological properties, short response time, excellent tribological properties and durability. The topic is also focused on understanding the behavior of this MR fluid in non-uniform magnetic fields.

    Tutor: Kubík Michal, doc. Ing., Ph.D.

67. Research and development of 3D printed implants for local articular cartilage replacement

    The purpose of the research is a tribological description of the behavior of the implant for local replacements of the articular cartilage defect. This is an experimental work based on the use of a combination of a biotribological simulator and optical methods. Testing of suitable biocompatible materials, including titanium alloys produced by additive Selective Laser Melting technology and hydrogel for articular cartilage models, is expected.

    Tutor: Vrbka Martin, prof. Ing., Ph.D.

68. Research of thin hydrostatic films considering the combined effects of key influencing factors

    The aim is to develop experimentally validated numerical model describing the flow and performance parameters in thin gaps of large-scale hydrostatic bearings, considering the influential factors of elastic deformation, geometrical errors, asymmetrical loading, thermal effects, and flow control.

    Tutor: Svoboda Petr, doc. Ing., Ph.D.

69. Research on noise generation and propagation in rail transport

    Noise generated by the operation of rolling stock is an ongoing social problem. One of the main sources of strong noise is wheel-rail contact. In the case of abnormal operating conditions, excessive lateral vibration of the wheel can occur, leading to the emission of a strong acoustic signal. Although some hypothetical mechanisms of wheel-rail contact noise behaviour have been described, a number of phenomena have still not been satisfactorily investigated. Especially in the context of the modern approach of adhesion management on risky track sections through the application of liquid or solid substances to the surface or sides of the rail. The aim of this thesis is to investigate the influence of operating conditions in modified contact on the occurrence of unwanted noise and its propagation to the surroundings.

    Tutor: Klapka Milan, doc. Ing., Ph.D.

70. Simulation of moving force effects on frames of mobile machines

    The paper would be about research of simulation and analysis of moving force effects on frames of transport and handling equipment. The work will be aimed at conception on simulation the moving loads effects acting on frames of mobile machines. Research will focus on identifying emerging burden especially for construction and forestry mobile equipment. In the experimental part will be selected mainly on verification of the proposed models.

    Tutor: Škopán Miroslav, doc. Ing., CSc.

71. Solid Stick Friction Management

    The aim of the thesis is to propose a suitable composition of solid friction modifiers (solid sticks) for application to the flange and tread of the wheels of rolling stock. Compositions must meet the requirements in terms of friction, product consumption, and squeal noise reduction.

    Tutor: Křupka Ivan, prof. Ing., Ph.D.

72. Sophisticated testing of mechatronic systems

    The topic deals with sophisticated testing of mechatronic systems. Every development of mechatronic systems contains a huge number of tests passed TC and TP and everything is connected via V diagram. This brings great benefits in troubleshooting, but also keeps development costs high and development time. Therefore, many developers in this field are trying to optimize the standard V-diagram approach to reduce costs and time, but at the same time increase the security of mechatronic systems. Therefore, these testing methods and approaches need to be further expanded and optimized using artificial intelligence.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

73. The effect of local surface changes on lubrication of plain bearings

    The aim is to reveal the effects of local geometrical and surface-parameters changes on friction and load carrying capacity of hydrodynamically lubricated plain bearings. It includes measurements of lubricating film on simulators with transparent body for optical insight into the contact. New knowledge will enable to develop performance optimized plain bearings. Poznámka CS:

    Tutor: Křupka Ivan, prof. Ing., Ph.D.

74. Transient phenomena affecting friction in point contacts

    The aim of the project is to provide experimental evidence of the transient behaviour of point contacts in the presence of water-solids suspension when friction drop occurs and to explain the nature of this phenomenon based on optical observation of the contact. Further emphasis is placed on describing the scope of the problem in terms of contact conditions and rheological parameters of suspension.

    Tutor: Hartl Martin, prof. Ing., Ph.D.

75. Tribology of polymers for shoe sole application

    The research will be focused on the analysis of anti-slip properties of materials used for the production of shoe soles. This is an experimental work focused on the description of the development of the friction coefficient and the behavior of the lubricating film in contact of the sole with a defined pad during sliding. The use of a combination of optical tribometers and devices for measuring the coefficient of friction in contact of the entire shoe with the floor and the outdoor environment, such as a sidewalk or an ice surface, is assumed.

    Tutor: Vrbka Martin, prof. Ing., Ph.D.

76. Using a digital twin to increase the effectiveness of side sled tests of passenger vehicle interior safety features

    In the testing of interior safety features of passenger cars, it is possible to use special testing equipment, side sled tests, which significantly reduce the material, financial and time costs for their implementation. Due to the necessity to fine-tune the implementation of the technical experiment and the necessity to use prototype parts, despite the reduction in the number of these parts, the effort is to continue to minimize their number. To minimize them, it is necessary to use data from sensors located on the test rig together with the computational model, which will complement each other and increase sophistication. The aim of this dissertation is to create a digital twin that will not only make use of the sensor data, but will feed back information in real time for sophisticated control of the entire test process. It is envisioned to create a corresponding reduced neural network based model using both supervised and unsupervised deep learning techniques. The condition is to accelerate the generated model using GPU accelerators in both the learning and inference phases. The aim of this work is to consider the possibilities of generative AI for the purpose of accelerating the learning process of parametric reduced model tasks.

    Tutor: Koňas Petr, doc. Ing., Ph.D.

77. Vehicle fault prediction using Deep learning

    The topic deals with the detection and prediction of failures of either the vehicle as a whole or individual components. The current trend of interconnecting vehicles, gathering information, and creating smart cities is necessary to appropriately predict failures of both various devices and vehicles. Therefore, it is necessary to further develop existing methods by using artificial intelligence and various approaches to machine learning such as Deep learning. An important aspect is the accuracy of the prediction and the associated costs. Therefore, the new approaches would be tested experimentally and virtually.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

78. Virtual environment for autonomy testing.

    The topic deals with the development of a virtual environment for testing autonomous vehicles or their sensors. The trend of autonomous vehicles brings several pitfalls, in the form of safety. This is a challenge for developers, as they are helped by the ISO / PAS 21448 SOTIF standard to increase the safety of such autonomous vehicles or their ADAS assistance systems. Related to this is testing autonomous vehicles in a virtual environment. Therefore, there is a need to expand current methods and approaches. And to develop such a virtual environment including various scenarios for testing either the whole autonomous system or individual sensors such as cameras, lidars, radars, etc.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

79. Virtual world around autonomous vehicles

    The topic deals with the creation of a virtual world around autonomous vehicles. For the current trend of autonomous vehicles, it is necessary to accurately predict the trajectories of objects around the autonomously controlled vehicle. It is also necessary to monitor other aspects of driving such as intersections, signs, lanes, etc. From this information it is necessary to create a sufficiently accurate virtual world around the vehicle. This means extending methods for a more comprehensive and accurate perception of the environment by combining computational models of vehicles, objects and other information.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

80. V2X in the field of electric vehicles

    The topic deals with developments in the field of vehicle communication with everything. The current trend of the Internet of Things, smart cities and V2X poses a challenge for developers where security issues may arise or what information to pass on and how vehicles should work with them. The introduction of 5G networks helps to address this issue, and thus the existing methods need to be further expanded or new approaches and applications in the field of autonomous vehicles and electric vehicles can be devised. This means, for example, V2X in the field of communication with charging stations, reservation of free charging points, etc.

    Tutor: Kučera Pavel, doc. Ing., Ph.D.

81. 3D printing of flexible metal structures

    The aim is to study the behavior of thin-walled 2D structures with different types of cells and different dimensional parameters of the cells and to describe their deformation characteristics under different types of loading (bending, torsion, pressure...). The work includes both experimental studies of 3D printed structures and computational modelling of their behavior using FEM. The global goal is to achieve a description of the behavior of different types of structures so that simple single-component flexible mechanisms can be designed by their appropriate combination.

    Tutor: Koutný Daniel, doc. Ing., Ph.D.