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Associate Professor
Ondřej Bojar is an Associate Professor at the Institute of Formal and Applied Linguistics (UFAL), part of the Faculty of Mathematics and Physics at Charles University in Prague . He actively engages in research and teaching, with a focus on machine translation and computational linguistics. His work spans both theoretical and applied domains, involving collaborations with industry and academia.
Professor
Prof. Radomír Kužel is a distinguished physicist at the Department of Condensed Matter Physics within the Faculty of Mathematics and Physics at Charles University . With a career spanning over three decades, he has made significant contributions to X-ray diffraction analysis and materials science. 1975: Secondary Education at Gymnasium Čakovice 1980: RNDr. in Solid State Physics, Charles University 1989: Ph.D. (CSc.) in X-ray Diffraction Analysis 2001: Docent Title 2015: Professor Appointment by the Czech Republic President His research focuses on X-ray diffraction studies of polycrystalline materials, thin films, and nanomaterials. Key areas include dislocation dynamics, residual stress analysis, texture development, and microstructural characterization using advanced diffraction techniques. He pioneered methods for dislocation type determination from line broadening and developed analytical approaches for microstructural parameters in nitrides and oxides. Recent publications highlight his work on TiO₂ thin films , hexaferrite synthesis , and ECAP-processed metals , demonstrating expertise in structure-property relationships and thermal stability of nanomaterials. His 2021 study on W-type hexaferrite thin films exemplifies his ongoing innovation in magnetic materials. Prague Convention Bureau Hybrid Congress Award (2022) Prof. Kužel has organized major international conferences, including the 25th IUCr Congress (2021) and multiple European Powder Diffraction Conferences . He serves on editorial boards (e.g., Materials Structure ) and leads the Czech Crystallographic Society.
Assistant Professor
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.
Assistant Professor
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.
Associate Professor
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.
Associate Professor
Petr Hnětynka serves as Associate Professor at the Department of Distributed and Reliable Systems within the Faculty of Mathematics and Physics at Charles University in Prague. He holds active roles in the Academic Senate and faculty management advisory bodies, with his workspace located in room S 212 at Malostranské náměstí 2/25 in Prague 1's Lesser Town district. His research centers on Distributed Systems and Reliable Systems , emphasizing Fault Tolerance and Dependable Computing to address critical challenges in system resilience and architectural robustness. These domains directly inform his teaching and supervision activities within the department's technical framework. Professor Hnětynka maintains active supervision of student works while contributing to institutional governance. His operational base in the historic Lesser Town campus facilitates collaboration within Charles University's computational research ecosystem, leveraging the department's focus on real-world system reliability.
Associate Professor
Jakub Klímek is an Associate Professor at the Department of Software Engineering, Charles University. He is a leading researcher in Linked Data and Open Data technologies, with a focus on semantic interoperability, XML schema evolution, and data integration frameworks. Education: Habilitation Thesis: Improving data accessibility and interoperability using linked data Doctoral Thesis: XML Formats Evolution and Integration Master Thesis: XML Schema Evolution Bachelor Thesis: Linear Algebra His research spans semantic web technologies, dataset discovery, knowledge graph applications, and model-driven data engineering. Recent publications address technical and legal interoperability of European open data, context-enhanced similarity search, and data specification tools. Scientific Awards: BEST DEMO PAPER AWARD (ISWC 2024) BEST PAPER AWARD (iiWAS 2017) BEST STUDENT PAPER AWARD (APCCM 2013) BEST PAPER AWARD (EGOV 2013) Klímek contributes to practical applications through tools like UnifiedViews, LinkedPipes, and DataSpecer, collaborating with researchers including Petr Škoda, Martin Nečaský, and Jan Helmich. His work emphasizes real-world implementation of semantic data standards in public administration and enterprise systems.
Professor
Prof. Ing. Jan Flusser, DrSc. is a faculty member at the Faculty of Mathematics and Physics , Charles University, Prague. He is affiliated with the Department of Software and Computer Science Education , focusing on computer science education, software development, and technology-driven learning methodologies. Email: Jan.Flusser@mff.cuni.cz
Assistant Professor
Institute of Process Management, Faculty of Applied Informatics at Tomas Bata University in Zlín. Petr Navrátil, Ph.D., is an Assistant Professor whose work bridges theoretical and applied control systems research. He holds a Ph.D. from Tomas Bata University in Zlín (2007) and an M.Sc. from Brno University of Technology (2001). A three-month internship at the University of Applied Science Cologne (2003) enriched his expertise in process engineering and control systems. Petr's research spans adaptive control , recursive identification , Delta model , and MIMO systems . His publications (2003-2016) focus on real-time control of laboratory models, optosensor applications, and environmental factors in measurement accuracy. Collaborations with colleagues like Vladimir Bobál and Ján Ivanka highlight his team-based approach to solving complex control problems, including TITO and three-tank systems. His work with MATLAB/Simulink libraries for recursive algorithms and applications in commercial security (light/laser protection systems) underscores his commitment to practical, industry-relevant solutions. The Institute of Process Control at Tomas Bata University serves as his primary research environment, where he develops tools and frameworks for both educational and industrial applications.
Associate Professor
Vítězslav Beran is an Associate Professor at the Department of Computer Graphics and Multimedia (DCGM) within Brno University of Technology . His research focuses on Augmented Reality , Robotics , and Computer Vision . Role: Vice-dean for Marketing and External Relations Contact: beranv@fit.vut.cz, vicedean-foreign@fit.vut.cz Research interests include: Augmented Reality Applications Human-robot Interaction Image and Video Processing 3D User Interfaces His recent publications (2019-2024) explore: End-User Robot Programming Reachability Solutions in Industrial AR Drone Control Systems 3D Interaction Techniques Projects span both academic research and practical applications in: Embedded Systems Computer Vision Algorithms Collaborative Workspace Design Patents include: 2015: Multifunctional Camera System 2012: Data Distribution Method Teaching activities: Image Processing Computer Graphics User Interface Programming Advanced Computer Vision
Professor
Tomáš Bureš is a Professor at the Department of Distributed and Dependable Systems , Faculty of Mathematics and Physics , Charles University . His work focuses on adaptive software architectures for smart cyber-physical systems (CPS) and IoT, leveraging machine learning (neural networks) for self-adaptation, edge-cloud systems, and model-driven development. Research Groups: Leader of the SmartArch research group. Projects: Involved in ExtremeXP , ESTABLISH , AFarCloud , FitOptiVis , Trust 4.0 , ASCENS , RELATE ITN , Q-ImPrESS . Publications span topics like performance regression testing, ML workflow optimization, confidentiality analysis under uncertainty, and edge-cloud continuum modeling. Key subfields include self-adaptive architectures, adaptation rules, component ensembles, and statistical methods in software engineering. His work bridges theoretical models (e.g., DEECo, SOFA) with practical tools (e.g., ExpEngine, Robin) for CPS and cloud applications. Co-Authors include P. Hnětynka, M. Abdullah, R. Heinrich, and others. Publications appear in venues like IEEE Transactions on Autonomic Computing , ACM/SPEC ICPE , and ECSA Workshops .
Professor
Jan Vitek is a Professor in the Department of Distributed and Reliable Systems at Charles University, where he conducts research on robust distributed computing frameworks. He holds a Master of Science (M.Sc.) and Doctor of Philosophy (Ph.D.) degree. His primary research domains include Distributed Systems and Reliable Systems , with significant contributions to Computer Science and Software Engineering through fault-tolerant system design. His work emphasizes scalability and reliability in distributed environments, addressing critical challenges in system resilience and performance optimization.
Professor
František Plášil is a Professor at the Department of Distributed and Reliable Systems, Faculty of Mathematics and Physics, Charles University in Prague. His research focuses on distributed systems, fault-tolerant computing, and software architecture for reliable applications. He is affiliated with the D3S research group (Distributed and Dependable Systems), where he contributes to advancing robust system design and academic teaching. Research Interests: Distributed systems, reliable computing, software engineering, system architecture, fault tolerance, and dependable applications. Contact: Email frantisek.plasil@d3s.mff.cuni.cz or visit his homepage for detailed information.
Assistant Professor
Martin Lanzendörfer is an Assistant Professor at the Institute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles University, Prague. His career spans roles at the Mathematical Institute of Charles University (2003–2017) and part-time research at the Institute of Computer Science, Academy of Sciences of the Czech Republic (2011–2016). Education: Ph.D. in Mathematical and Computer Modelling (2011), Mgr. in Mathematical Modeling (2003), both from Charles University. Research focuses on fluid dynamics in porous media, non-Newtonian fluids , and mathematical modeling of groundwater systems. His work bridges continuum mechanics with applications in hydrogeology and engineering geology. Recent publications explore shear-thinning fluids in groundwater remediation, pressure-dependent viscosity in lubrication, and internal erosion in fractured environments. Collaborations span geophysics, planetary science, and computational methods. Scientific Awards: Junior Research Fellow at Nečas Center for Mathematical Modeling (2011–2013). Teaching includes Groundwater Hydraulics , Numerical Modeling , and Mechanics of Fluids , with supervision of theses on porosimetry, erosion, and well clogging. He actively uses FEFLOW software for practical training.
Assistant Professor
Johan Andréas Rohdin is an Assistant Professor at the Department of Computer Graphics and Multimedia , Faculty of Information Technology , Brno University of Technology. His research focuses on Speaker Recognition , Biomedical Image Analysis , and Signal Processing , with applications in forensic speaker comparison and retinal disease diagnosis. University: Brno University of Technology Role: Assistant Professor Research Groups: Speech Data Mining Research Group, BUT Speech@FIT His work addresses speaker diarization , embedding extractor optimization , and automated retinal symmetry analysis using GANs. Recent publications emphasize self-supervised learning, anti-spoofing techniques, and forensic multimodal datasets. Key projects include contributions to NIST Speaker Recognition Evaluations and development of the ROXSD multimodal dataset. He actively collaborates with the Speech Data Mining Research Group and participates in doctoral examination commissions.
