Applied Informatics

prof. Ing. Josef Basl, CSc.

• Methodological framework for innovation of information systems of enterprises and organizations
• Optimization approaches to deployment and use of information systems of enterprises and organizations
• Application of rationalisation methods to increase the benefits of information systems
• Applying the principles of the theory of constraints (TOC) to increase the benefits of information systems
• Automation, robotics and integration of information systems applications

prof. Ing. Alena Buchalcevová, Ph.D.

• Use of large language models and machine learning for autonomous software testing (co-supervisor Dr. M. Doležel)
• Exploiting the potential of personal health information systems and consumer informatics to support healthy lifestyles and disease prevention (co-supervisor Dr. Michal Doležel)
• Potential of digital technologies for the development of mindfulness techniques based on monitoring physiological indicators of stress (co-supervisor Dr. Michal Doležel)
• Use of large language models and wearable electronics in the field of P4 (Predictive, Preventive, Personalized, Participatory) healthcare (co-supervisor Dr. Michal Doležel)

doc. Ing. Miloš Maryška, Ph.D.

• Internet of Things and Industry 4.0
• Corporate Performance Management
• Design of a model for performance management of corporate informatics with BI support
• IoT system architecture
• Predictive maintenance

prof. Ing. Václav Řepa, CSc.

• Business Process Management
• Information Modeling
• Conceptual Business Analysis

Consultants (co-supervisors) at KIT:

Michal Doležel, Ph.D.

Martin Potančok, Ph.D.

prof. Ing. Petr Berka, CSc.

• Knowledge representation and inference methods in knowledge-based systems
• Machine learning methods
• Rule-based and case-based reasoning in knowledge-based systems
• Data pre-processing for knowledge discovery tasks

prof. Ing. Tomáš Kliegr, Ph.D.

• Utilization of psychological phenomena in machine learning
• Bias detection in knowledge graphs using active learning
• Development and evaluation of classification algorithms for interpretable machine learning

prof. RNDr. Jan Rauch, CSc.

• Knowledge discovery from databases (consultant RNDr. Petr Máša)

doc. Ing. Vilém Sklenák, CSc.

• Information retrieval

prof. Ing. Vojtěch Svátek, Dr.

• Explainable Artificial Intelligence based on ontologies and knowledge graphs
• Construction and management of knowledge graphs in support of detection and explanation of misinformation
• Graph visualization for misinformation explanation

doc. Ing. Mgr. Miroslav Vacura, Ph.D.

• Ontology engineering

Ing. Jiří Vomlel, Ph.D.

• Bayesian networks for Educational Applications
• Bayesian Network Analysis of Conspiracy and Disinformation Narratives

doc. Ing. Ondřej Zamazal, Ph.D.

• Complex ontology alignment

Consultants (co-supervisors) at KIZI:

Ing. Petr Máša, Ph.D.

Ondřej Vadinský, Ph.D.

Ing. et Ing. Stanislav Vojíř, Ph.D.

doc. Ing. Mgr. Zdeněk Smutný, Ph.D.

• Research in social informatics (or related fields: computer-mediated communication; human-computer interaction; ICT and society; internet studies; science, technology and society) – also suitable for graduates of Master’s programmes in sociology, psychology, anthropology, media and communication studies or statistics
• Research on the acceptance, adoption or resistance to implementation of information and communication technologies relevant to the field of health informatics – also suitable for graduates of health-related master programmes
• Designing a solution to a problem in a selected application area using computing, information or communication technology
• Research on the acceptance or adoption of technology (based on ICT) by a selected social group or category
• Research on the acceptance of ambient intelligent systems or single-purpose assistive technologies by disadvantaged people (e.g., the elderly or people with blindness)

Consultants (co-supervisors) at KSA

Ing. PhDr. Antonín Pavlíček, Ph.D.