Find Academic Supervisors

Josef Urban is a leading researcher at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) , Czech Technical University in Prague, heading the ERC Consolidator project AI4REASON . Previously, he held positions as a postdoc at Radboud University Nijmegen and assistant professor at Charles University in Prague, where he co-founded the Prague Automated Reasoning Group. Education Ph.D. in Computer Science (2004), Charles University, Prague M.S. in Mathematics (1998), Charles University, Prague B.S. in Economics (1995), Charles University, Prague Research Interests Urban specializes in automated reasoning over large formalized knowledge bases, combining deductive theorem proving and inductive machine learning . His work aims to realize "strong AI" through formalized mathematics, particularly using systems like Mizar and the AI/TP Challenges . He advocates for computer-verifiable mathematics as a foundation for AI progress. Article Trends Urban's publications focus on integrating machine learning with automated theorem proving in systems like ENIGMA and BliStr . Key trends include semantic guidance for ATPs, premise selection in formal libraries, and automated proof compression via concept invention. Scientific Contributions Head of ERC Consolidator project AI4REASON Marie-Curie Fellow at University of Miami Co-founder of Prague Automated Reasoning Group Editor for Formalized Mathematics Advising and Grants Urban has advised numerous PhD and MSc students including Daniel Kuehlwein, Krystof Hoder, and Yutaka Nagashima. He has secured grants like the ERC Consolidator Grant and Marie-Curie Fellowship . Labs and Collaborations Urban leads the AI4REASON team at CIIRC and collaborates with the Foundations Group at Radboud University. He contributes to projects like Mizar TWiki and XML-based API for Mizar , aiming to create a semantic AI ecosystem for formal knowledge.

• Automated Reasoning
• Machine Learning
• Theorem Proving
• +5 more

Daniel Hlubinka is an Associate Professor at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University. He has been an academic staff member since 1999 and was promoted to associate professor in 2007. His teaching includes courses like Statistics for Financial Mathematicians 2 (NMFM332) and Proseminar in Probability and Mathematical Statistics (NMSA262). He supervises bachelor's, diploma, and doctoral theses, with over 30 bachelor's, 20 diploma, and 5 doctoral theses supervised to date, including former students now working as associate professors. Education: Mathematical Physics (1989-1994) at Charles University; Erasmus stay at Limburgs Universitaire Center (1994-1995); Doctorate (1995-1999) under Professor Josef Štěpán. Research Interests: Statistics, theoretical foundations, multivariate functional processes, nonparametric asymptotics, data depth, optimal transport, and mathematics of chance. Academic Affiliations: Member of the Union of Czech Mathematicians and Physicists, Czech Mathematical Society, Czech Statistical Society, European Mathematical Society, Bernoulli Society, and Institute of Mathematical Statistics. Hlubinka's recent research focuses on functional data analysis, multivariate quantiles, and nonparametric testing. His work applies optimal transport theory, empirical characteristic functionals, and permutation tests to functional statistical problems. He contributes to methodological advancements in depth-based classification, time reversibility testing, and regression models.

• Statistics
• Theoretical Foundations
• Multivariate Functional Processes
• +4 more

Professor Jan Černocký serves as Head of Department at the Department of Computer Graphics and Multimedia (DCGM) within the Faculty of Information Technology at Brno University of Technology (FIT VUT). With a professional email cernocky@fit.vut.cz and office L221.2, he maintains an active research profile with numerous publications spanning over 20 years in the field of speech processing and recognition. His work is well-documented through multiple research identifiers including ORCID iD 0000-0002-8800-0210, Scopus Author ID 6604040821, and Researcher ID M-7494-2019. Professor Černocký's research interests focus primarily on advanced speech processing technologies, with particular emphasis on speech recognition, speaker verification, language identification, and multimodal systems. His work demonstrates a strong trajectory from traditional speech processing techniques toward modern deep learning approaches, especially in self-supervised learning for speech applications. Recent publications show his leadership in developing benchmarks like TS-SUPERB for target speech processing and innovative methods for speaker verification using transformer models. His research group at BUT has made significant contributions to multi-channel speech processing, target speech extraction, and speaker diarization systems. The analysis of Professor Černocký's recent publications (2023-2025) reveals several key trends in his research direction. There's a clear shift toward self-supervised learning approaches for speech processing, with numerous papers exploring how pre-trained models can be adapted for speaker verification, target speech extraction, and multi-channel processing. His work increasingly incorporates transformer architectures and attention mechanisms, reflecting the broader trends in speech processing research. The 2024 publications particularly highlight work on multimodal analysis (BESST dataset for stress detection) and practical applications of speech technology for social inclusion. Throughout his career, Professor Černocký has maintained strong collaborative relationships with researchers across Europe and internationally, evidenced by his extensive publication record with co-authors from multiple institutions. His leadership role as Head of Department at DCGM places him at the center of speech processing research at Brno University of Technology, where his team continues to produce cutting-edge research in speech technology.

• Speech Recognition
• Speaker Verification
• Language Identification
• +7 more

Michal Pavelka is an Associate Professor at the Division of Mathematical Modeling, Mathematical Institute, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic. His career spans roles from Postdoc (part time) at the Institute of Chemical Technology to positions at École Polytechnique de Montréal and New Technologies Research Centre. He earned his Ph.D. in 2015 and M.Sc. in 2012 at Charles University under František Maršík. Michal Pavelka's research integrates Non-equilibrium Thermodynamics , Geometric Mechanics , and Machine Learning . His work bridges advanced mathematical frameworks like GENERIC and Extended Irreversible Thermodynamics with practical applications in electrochemical systems (fuel cells, batteries) and quantum fluids . Notably, he has contributed to Smoothed Particle Hydrodynamics and Hamiltonian mechanics in complex systems. His recent publications focus on Multiscale Thermodynamics , Superfluid Modeling , and Machine Learning in Physics . Scientific awards include the Best paper award, Entropy (2021) and Czech Grant Agency President's award (2020). He has secured significant grants, including a €363k Czech Grant Agency award (2023–2025) for geometric multiscale thermodynamics of complex fluids. Scientific Awards: Best paper award, Entropy (2021) Czech Grant Agency President's award (2020) High quality monographs of Charles University competition (1st-3rd place, 2020) Current Projects: He leads research on geometric multiscale thermodynamics and co-supervises projects on zinc-air batteries and solid oxide fuel cells. His lab develops the SmoothedParticles.jl Julia package for fluid dynamics simulations.

• Geometric mechanics and thermodynamics (GENERIC)
• Modelling of electrochemical systems (fuel cells, batteries)
• Non-equilibrium continuum thermodynamics and hyperbolic systems
• +1 more

Jan Rataj is a Professor at the Faculty of Mathematics and Physics , Charles University , specializing in Integral Geometry , Geometric Measure Theory , and Stochastic Geometry . He has been affiliated with Charles University since 1991 and has held visiting positions at universities in Jena, Karlsruhe, Ulm, and Aarhus. Research interests focus on geometric probability, convex geometry, and measure theory Teaches courses on Measure and Integration Theory , Geometry , and advanced topics in geometric measure theory Scientific contributions include coauthoring 2 monographs and ~50 research papers. His work explores: Random measurable sets and perimeter analysis Stochastic modeling of microstructures Geometric functionals and invariants Applications to spatial statistics and probability theory He supervises PhD students and leads the Seminar of Stochastic Geometry , which examines topics like: Max-stable random fields Convex body reconstruction Point process analysis

• Integral Geometry
• Geometric Measure Theory
• Stochastic Geometry
• +2 more

Assoc. Prof. Ondřej Pejcha is an active researcher at the Institute of Theoretical Physics, Faculty of Mathematics and Physics, Charles University in Prague. His work focuses on connecting theoretical modeling, observational astronomy, and data science to understand time-domain phenomena in stellar systems, particularly binary stars and their evolution. Dr. Pejcha's research spans computational astrophysics, with emphasis on (radiation)(magneto)hydrodynamics simulations of binary star systems, common envelope evolution, and stellar mergers. His group develops advanced numerical methods to study transients such as stellar mergers and core-collapse supernovae, persistent variable sources including eclipsing binaries and pulsating stars, and stellar dynamics. They combine supercomputer simulations with semi-analytic models and machine learning techniques applied to astronomical data from surveys like ASAS-SN. The analysis of Dr. Pejcha's recent publications reveals a strong focus on computational approaches to binary star evolution, with increasing integration of machine learning methods in the latest works. His research addresses fundamental questions about common envelope evolution, mass transfer processes, and the connection between theoretical models and observational signatures in time-domain astronomy. ERC Consolidator grant for ROGALLO project (developing new simulation methods for binary stars) ERC Starting grant for Cat-In-hAT project (computational methods for binary star mergers) Czech Science Foundation grant for studying mass transfer in binaries Czech-American collaboration grant for ASAS-SN survey participation Primus award PRIMUS/SCI/17 from Charles University Dr. Pejcha actively mentors PhD students and postdocs, with recent advisees including Jakub Cehula and Milan Pešta. His group has secured substantial funding that supports internationally competitive salaries, dedicated computing resources including a specialized cluster with upcoming GPU enhancements, and travel funds. Alumni from his group have successfully obtained competitive postdoctoral positions and national/international fellowships. The group maintains strong international connections, regularly collaborating with institutions including Princeton University, Brown University, MPA Garching, and Warsaw University Observatory.

• Astrophysics
• Binary Stars
• Common Envelope Evolution
• +7 more

Jan Křetínský is a Professor at the Department of Computer Science, Faculty of Informatics, Masaryk University. His research focuses on formal verification, probabilistic systems, and artificial intelligence. He leads projects funded by the European Union and Masaryk University, including initiatives on robust AI and controller synthesis. Key roles include membership in academic boards for theoretical computer science and doctoral supervision. Awards include the 2023–2028 MUNI Award in Science and Humanities. His work bridges theoretical foundations with practical applications in autonomous systems and safety-critical technologies. Education: Habilitation in Informatics (Masaryk University, 2019), PhD (Dr. rer. nat.) Projects: EU Horizon Europe grants (2025–2030), MUNI-funded research on verification and generative AI Labs/Teams: Live-Lab at FI MU Research emphasizes scalable verification techniques for probabilistic models, integration of neural and symbolic AI, and ethical AI frameworks. Current grants address explainability and robustness in generative AI systems.

• Artificial Intelligence
• Formal Verification
• Probabilistic Systems
• +3 more

Mgr. Pavel Pilch, Ph.D. serves as Assistant Professor at the Department of Slavic Studies within the Faculty of Arts at Masaryk University in Brno, Czech Republic. His academic profile combines teaching expertise in South Slavic languages with specialized research in Yugoslavian comics and contemporary Balkan literatures, supported by certification as a court interpreter for Bosnian, Croatian, and Serbian languages since 2019. Dr. Pilch completed his academic formation at Masaryk University with a Ph.D. in Theory and History of Slavic Literatures (2021), preceded by Mgr. (2013) and Bc. (2011) degrees in Croatian Language and Literature, and a Bc. in Czech Language and Literature (2010). His graduate theses examined linguistic taboos and translation challenges across Slavic languages, establishing foundations for his current scholarly trajectory. His research centers on Yugoslavian comics history and contemporary Serbian literary production, with significant contributions to translation studies and Balkan cultural analysis. Methodologically, Pilch integrates textual criticism with sociolinguistic frameworks, particularly examining swearing as cross-cultural communication barriers. His fieldwork includes academic residencies at Dubrovnik's Centre for Advanced Academic Studies (2014, 2016) and Belgrade University (2015), focusing on language policy and literary traditions within South Slavic contexts. Analysis of Pilch's 2023-2025 publications reveals expanding interdisciplinary engagement, from core comics studies (e.g., Kája Saudek's narrative techniques) to emerging digital humanities applications (AI in language pedagogy) and urban cultural studies (Brno pub transformations). His work consistently addresses intercultural communication challenges across Slavic linguistic spaces, with increasing attention to visual narrative forms and contemporary cultural phenomena. Dr. Pilch received recognition in 2014 through an Honorable Mention in the Jiří Levý Competition for his Croatian literary translation. Jiří Levý Competition - Honorable Mention (2014) As a supervisor, he currently guides master's theses including research on cybertext variables in Czech-Russian language comparison. His grant portfolio demonstrates sustained institutional support through Masaryk University's Specific Research program since 2021, with principal investigator roles in projects examining Slavic cultural border zones (2023-2025), historical epochs in Slavic cultures (2022), and professional writing for Slavic scholars (2022). Slavic Languages, Literatures and Cultures at the Border of Three Civilizations (MUNI/A/1632/2024) Identity, equivalence and otherness in Slavic languages (MUNI/A/1479/2023) Ideology in Slavic Literatures and Cultures (MUNI/A/1349/2022) Historical Epochs in Slavic Cultures (MUNI/A/1335/2022) Pilch actively contributes to scholarly communities through the Brno-based Porta Balkanica association and co-organization of the annual Croatianist Meetings in Brno, fostering regional networks in South Slavic studies while maintaining collaborative ties with Dubrovnik's academic institutions and Belgrade University's summer programs.

• South Slavic Literatures
• Comics Studies
• Translation Studies
• +4 more

Daniel Říha serves as Assistant Professor at the Department of Theory of Art and Artworks within the Faculty of Humanities, Charles University Prague, holding this position continuously since 2005. His academic foundation includes a Ph.D. (2002) and M.A. (1998) from Charles University's Institute of Information Studies and Librarianship, with doctoral research focusing on collaborative hypermedia environments for scientific communication. His research program integrates Interactive Media, Videogame Studies, Serious Games, and Virtual Reality through interdisciplinary lenses spanning computer science, art theory, and education. Current investigations examine cutscene functionality in game information systems, VR applications in sexuality research, and multi-touch exhibition design, reflecting sustained engagement with digital knowledge representation since his early work on 3D virtual libraries. Analysis of his 15 most recent publications (2009-2016) reveals consistent thematic evolution toward applied interactive systems, with growing emphasis on therapeutic and educational implementations of virtual environments. His editorial leadership across 12 interdisciplinary volumes demonstrates significant influence in cyberculture and game studies discourse. 2003 Winner of Kunst am Bau International Art Competition for Virtual 3-D Library project As Principal Investigator for Czech Ministry of Education grants (2004-2005) and team member for Czech Grant Agency (2016-2018) and Ministry of Culture projects (2012-2015), he has secured substantial research funding. His academic leadership extends to founding Charles University's New Media Studies discipline and MED Comparative Media Research Group, plus international roles including Director of Publications at Inter-Disciplinary Press (2010-2012) and Cyber Hub Leader (2008-2016). Through projects like the Virtual Museum of Phototelegraphy and INVIPO distance education infrastructure, he has established collaborative networks connecting Czech academic institutions with German, Dutch, Swedish, and Polish universities, operationalizing his theoretical work in international educational contexts.

• Interactive Media
• Videogame Studies
• Serious Games
• +1 more

Prof. Ing. Adam Herout, Ph.D., is a faculty member at the Faculty of Information Technology (FIT) of Brno University of Technology (BUT). He serves as Deputy Head of the Department of Computer Graphics and Multimedia (DCGM), focusing on computer vision, image processing, and 3D reconstruction. His research spans traffic surveillance, augmented reality, and real-time processing, with applications in medical imaging and autonomous systems. Academic Rank: Professor Department: Computer Graphics and Multimedia Email: herout@fit.vut.cz Herout's research interests lie in computer vision, machine learning, and their interdisciplinary applications. He has pioneered techniques for camera calibration using vehicle landmarks, density-based traffic analysis, and medical imaging solutions like cranial implant design. His work combines theoretical advancements with practical implementations in real-time systems. Key trends in his 15 most recent articles (2019–2023) include deep learning for traffic analysis, medical image segmentation, and optimization of computer vision algorithms. Sub-fields span from automated checkout systems to CNN-based AFM data correction, reflecting his interdisciplinary expertise. Scientific recognitions include the Commemorative Medal of FIT BUT (Bronze 2012, Silver 2019) and the Imagine Cup 2013. He leads the Computer Graphics Research Group at FIT and chairs disciplinary committees.

• Computer Vision
• Image Processing
• Machine Learning
• +5 more

Ing. Petr Schwarz, Ph.D. , is an Assistant Professor at the Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology. He specializes in speech recognition and biometric systems, with a focus on robustness in real-world conditions. Current roles: Assistant Professor, Researcher, Project Lead Key affiliations: Brno University of Technology (FIT), EU Horizon Europe, Czech Defense Research Program His research spans speech recognition , language identification , and multimodal datasets for security applications. Recent work includes AI-driven emergency call systems and tools to combat voice deepfakes. Notable projects include: Multilingual and Cross-cultural Dialogue Systems (EU Horizon Europe, 2024-2026) Voice Deepfake Detection (Czech Sectech Program, 2024-2026) His publications analyze Gaussian mixture models, i-vector migration, and phonetic search techniques. Trends emphasize robust algorithms for security-critical domains . Scientific accolades include the Silver Medal from BUT Rector (2006) and Brno FIT Bronze Medal (2022). He has contributed to open-source tools like Kaldi and developed systems for NIST evaluations.

• Speech Recognition
• Language Identification
• Speaker Recognition
• +3 more

Jan Kybic is a Full Professor in the Department of Cybernetics at the Faculty of Electrical Engineering, Czech Technical University. He leads the Biomedical Imaging Algorithms (BIA) group and actively pursues collaborations in medical and biological image processing. He is involved in academic leadership as head of the master's program in Medical Electronics and Bioinformatics and the PhD program in Bioengineering . Member of Scientific Councils at Czech Technical University, Masaryk University, and Charles University His research focuses on algorithms for medical imaging, particularly in dental radiography and ultrasound systems. Recent work includes automated caries detection and ultrasound system development. He mentors for the CTU International Postdoc Programme and advocates for interdisciplinary projects in biomedical imaging. Notable research trends: Integration of machine learning in diagnostic imaging, optimization of medical device algorithms, and cross-domain applications of cybernetics in healthcare. He maintains active collaborations and welcomes opportunities for joint projects in image analysis or biomedical signal processing.

• Medical Imaging
• Image Processing Algorithms
• Biomedical Engineering
• +4 more

David Hoksza is an Associate Professor at the Department of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague. His work bridges bioinformatics and computational biology through innovative algorithm and tool development. University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software Engineering His research focuses on structural bioinformatics and data visualization, particularly in protein and RNA structure analysis. He has also contributed to cheminformatics (ligand-based virtual screening), computational genomics (MinION data analysis), and systems biology (molecular network visualization). David has led major projects including the P2Rank framework for ligand-binding site prediction, R2DT for RNA secondary structure visualization, and the Genomics 2 Proteins portal for linking genetic data to protein structures. His publications span high-impact journals like Nucleic Acids Research , Bioinformatics , and Nature Methods . Recent articles highlight his expertise in RNA structure prediction, protein-ligand interactions, and neurodevelopmental disorder analysis. His work emphasizes template-based modeling, machine learning, and web-based tool development. Scientific Awards David actively teaches courses on data visualization and bioinformatics algorithms, with a focus on practical implementation using technologies like D3.js, Tableau, and Python. He contributes to open-source software and maintains a GitHub repository for his tools.

• Structural Bioinformatics
• Data Visualization
• Protein Structure
• +4 more

Assoc. Prof. Marek Omelka is a faculty member at the Department of Probability and Mathematical Statistics , Faculty of Mathematics and Physics, Charles University in Prague. His research focuses on copula models, dependence modeling, and nonparametric statistical methods with applications in multivariate analysis, permutation tests, and conditional copula structures. Current teaching: NMST424 Mathematical Statistics 3 and JEM019 Statistical Methods for Data Analysis Research interests: Asymptotic statistics, copula estimation, permutation methods, multivariate association, and functional data depth His recent publications analyze copula parameter estimation, covariate effects in conditional models, and multivariate tail coefficients, with implementations in R. The PMSE program he guarantees connects theoretical statistics with real-world applications in data science, finance, and medical studies.

• Asymptotic Statistics
• Nonparametric Statistics
• Copula Models
• +10 more

Lubomír Spurný serves as Professor and Deputy Head of the Department of Musicology at Masaryk University's Faculty of Arts in Brno, Czech Republic, maintaining an active academic presence with office N/N.703 and contact spurny@phil.muni.cz. His leadership extends to the Faculty of Arts Scientific Council and Industry Council for Theatre and Film Studies, reflecting institutional influence within Central European humanities. Spurný's research centers on 20th-century Central European musicology, specializing in microtonal compositions (particularly Alois Hába's quarter-tone systems), Holocaust-era musical legacies (Viktor Ullmann, Gideon Klein, and Pavel Haas in Terezín), and Czech modernist traditions. His methodological approach integrates historical musicology with performance practice analysis, examining how political trauma shapes artistic expression and preservation efforts for suppressed musical works. Recent publications reveal three dominant scholarly trajectories: computational analysis of string quartet interpretations across cultural boundaries, rediscovery of exiled composers like Hans Winterberg, and pedagogical adaptations of Romantic repertoire. His work consistently bridges archival research with contemporary relevance, notably through Terezín-related conferences that connect historical scholarship to modern commemorative practices. As a supervisor, Spurný mentors emerging scholars in musicology through structured academic guidance, though specific student names aren't publicly listed. His project leadership includes the Terezín Summer School and international conferences that facilitate cross-border collaboration among European musicologists, with recent initiatives focusing on manuscript preservation techniques and computational musicology frameworks.

• Musicology
• Central European Music
• Microtonal Music
• +3 more