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Doctoral graduates in 2025



Ján Jančár

Date of defence 18. 12. 2025
Field of study Fundamentals of Computer Science
Doctoral thesis Cryptographic implementations in the dark forest



Matej Gallo

Date of defence 12. 11. 2025
Area Fundamentals of Informatics
Doctoral thesis Explanaible AI in Digital Pathology



Ondřej Sotolář

Date of defence 10. 10. 2025
Area Technology and Methodology of Computer Systems
Doctoral thesis Computational Methods for Detecting Psychological Phenomena in Dialogues



Michal Ajdarów

Date of defence 3. 10. 2025
Area Fundamentals of Computer Science
Dissertation Algorithmic Asymptotic Analysis of Probabilistic Vector Addition Systems with States



David Klaška

Date of defence 1. 8. 2025
Area Fundamentals of Computer Science
Doctoral thesis Efficient Strategy Synthesis for Patrolling Games and Further Infinite-Horizon Objectives


David Kut'ák

Date of defence 7. 7. 2025
Area Fundamentals of Computer Science
Doctoral thesis Three-dimensional Visualization and Interaction for Nanostructure Modeling


Lukáš Sadlek

Date of defence 20. 6. 2025
Area Technology and Methodology of Computer Systems
Doctoral thesis Automated Identification of Cyber Threat Scenarios


Jan Tušil

Date of defence 12. 6. 2025
Area Fundamentals of Informatics
Dissertation Progress in Programming Language Semantics Frameworks


Antonín Dufka

Date of defence 20. 5. 2025
Area Technology and Methodology of Computer Systems
Doctoral thesis Practical Threshold Cryptography on Resource-Constrained Security-Certified Hardware


Kristýna Pekárková

Date of defence 16. 5. 2025
Area Fundamentals of Computer Science
Dissertation Sparsity Methods in Combinatorics and Optimization


Adam Janovský

Date of defence 20. 2. 2025
Area Fundamentals of Computer Science
Doctoral thesis Real-world deployment of cryptographic functions.


Michal Štefánik

Date of defence 6. 2. 2025
Area Fundamentals of informatics
Dissertation Axes of Robustness of Neural Language Models


Jaroslav Oľha

Date of defence 28. 1. 2025
Area Technology and methodology of computer systems
Doctoral thesis Data-Driven Dynamic Autotuning: Optimizing Autotuning Overhead with Prior Tuning Data