Applied Informatics

Doctoral thesis themes available in the academic year 2023/2024
Before submitting your application please contact a potential supervisor to discuss a dissertation topic. Applicants can propose their own themes of dissertation theses. Such themes will be accepted upon agreement of a supervisor and advisory board of a particular study programme.

Supervisor: Prof. Petr Hájek, Ph.D. (petr.hajek@upce.cz)

1. Artificial Intelligence in Software Engineering
The aim of this dissertation is to summarize existing artificial intelligence-based applications in software engineering, to choose a suitable application domain, to propose a model to automatize tasks realized in software engineering, and to validate its effectiveness in real-world setting.

2. Interval-valued Fuzzy Inference Systems
The aim of this dissertation is to define interval-valued fuzzy sets, to summarize the current capabilities of inference mechanisms for this class of systems, to propose algorithms for building the knowledge base of interval-valued fuzzy inference systems, to implement these systems, and to evaluate their prediction performance and interpretability on a set of benchmark datasets.

3. Interpretability of Deep Neural Networks
The aim of this dissertation is to summarize current approaches to the interpretability of deep learning neural networks, to choose a suitable application domain, to propose new ways of knowledge extraction and visualization from learned neural networks, and to verify their effectiveness on a set of benchmark datasets.

4. Text Classification using Deep Neural Networks
The aim of this dissertation is to summarize existing deep learning neural network models, to collect and label a large enough dataset for text classification into topic and sentiment categories, to design a suitable deep learning neural network architecture, and to perform text classification using this neural network.

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Supervisor: Assoc. Prof. Miloslav Hub, Ph.D. (miloslav.hub@upce.cz)

1. Biometric Authentication based on the Use of Pointing Devices
The aim of this work is to design and verify a new method of biometric authentication based on the use of pointing devices. The student is expected to search for existing methods of biometric authentication based on the use of various pointing devices, design their own model of this authentication and verify the model on experimental data.

2. Using of Audiomaps in Tourism
The aim of this work is to design and verify the use of audiomaps in tourism. The student is expected to search for the current use of audiomaps in various contexts, a proposal for the use of audiomaps for tourism, a model design and a case study.

3. Evaluation of Usability of User Interfaces through Natural Language
The aim of this work is to design and verify a new way of evaluating the usability of user interfaces through natural language. The student is expected to search for existing methods of user interface usability evaluation, to design a model for user interface usability evaluation through natural language and to verify this model on experimental data.

4. Usability Evaluation of Non-Standard User Interfaces
The aim of this work is to design and verify a new way of evaluating the usability of non-standard user interfaces. The student is expected to search for existing non-standard user interfaces, to search for user interface usability evaluation methods, to design a usability evaluation model for a given type of non-standard user interface and to verify this model on experimental data. 

+ one theme upon agreement with an applicant

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Supervisor: Prof. Jitka Komárková, Ph.D. (jitka.komarkova@upce.cz)

1. A Modern Architecture of Web-Based Geographic Information Systems that Includes Sensor Networks and Crowdsourcing as a Data Source
The work will focus on the design of a modern architecture of the geoportal taking into account current trends, e.g. connection to the national e-infrastructure, FAIR data principle, modern data sources (sensor networks, UAVs, participatory technologies, ...).

2. Spatial Data Infrastructure to Support Development of Modern Smart Cities
The work will focus on the design of a scalable architecture and e-infrastructure for a smart city, with any necessary continuity with the architecture and services of the national e-infrastructure and taking into account current trends, such as the use of data from sensor networks, participatory technologies, the principle of maintaining full control of the owner over the data and the principle of FAIR data.

3. Big-Volume Spatial Data Processing
The work will focus on the design of an ecosystem and architecture for the storage, processing, publication and reuse of large-scale spatial data based on distributed (grids) or parallel (clouds) computing, taking into account current trends such as the use of sensor network data, participatory technologies, the principle of maintaining full control of the owner over the data or the FAIR data principle.

4. Water Quality Estimation Model based on Remotely Sensed Data
The work will focus on the design and validation of a model for the assessment of surface water quality (primarily chlorophyll-a content), which will be based on the processing of data obtained by remote sensing methods, including own data taken using UAVs.

+ one theme upon agreement with an applicant

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Supervisor: Assoc. Prof. Jiří Křupka, PhD. (jiri.krupka@upce.cz)

1. Group Decision Making Models on the basis of Fuzzy and Rough Sets Theory
The dissertation deals with modelling of group decision-making of a selected problem. The thesis summarizes and analyses an available information and methods that are able to work with uncertainty. The model is proposed on the basis of the system approach and soft systems methodology. A core of the model will be proposed based on the fuzzy set theory, rough set theory and their combination. The model will be verified on a case study.

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Supervisor: Assoc. Prof. Stanislava Šimonová, Ph.D. (stanislava.simonova@upce.cz)

1. Enterprise Performance Monitoring based on Data analytics
The focus of the work is on monitoring the performance of the organization through data sources. The student is expected to carry out extensive research both in terms of identifying data sources and in terms of tracing information flows in the organization in relation to process activities. Modeling will be used to identify links between performance and monitored data. Evaluation of performance quality through models.

2. Application of Business Intelligence Methods in the Concept of Smart Cities
Business Intelligence approach methods represent an extensive composition of procedures and tools that will be explored within the topic. The student is expected to conduct extensive research on Business Intelligence methods, including their evaluation. Modeling will be used to address the possibilities of implementing the methods. The goal is to create a database for use within the Smart Cities concept.

3. Self Business Intelligence Tools for Data Processing
The focus is on the identification and classification of Self Business Intelligence tools. The student is expected to conduct extensive research into the methods and possibilities of Self Business Intelligence. The binding and use of tools for types of data processing will be examined. The focus will be on the application of data analytics tools.

4. Use of Business and Competitive Intelligence Methods in Relation to Big Data
Business Intelligence methods, just like Competitive Intelligence methods and tools, are today linked to data sources, especially big data sources. Therefore, the goal is data analytics with a focus on Big data. Connections of methods with use for big data processing will be investigated.

+ one theme upon agreement with an applicant