جستجوی استاد راهنمای دانشگاهی

• Musicology
• Central European Music
• Microtonal Music
• +۳ مورد دیگر

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.

Michal Outrataمشاهده پروفایل

استادیار

• Numerical Linear Algebra
• Krylov Methods
• Domain Decomposition Methods
• +۵ مورد دیگر

Michal Outrata is an Assistant Professor in the Department of Numerical Mathematics at Charles University's Faculty of Mathematics and Physics in Prague, Czech Republic. He began his position in fall 2024 after completing a postdoctoral fellowship at Virginia Tech with Prof. Eric de Sturler and earning his PhD under Prof. Martin Gander at the University of Geneva, where his thesis was awarded the Henri Fehr Prize in 2023. His academic journey started with undergraduate studies in Prague under Prof. Zdeněk Strakoš (bachelor) and Prof. Miroslav Tůma (master). Dr. Outrata's research focuses on understanding why certain numerical methods work for specific problem classes, with emphasis on numerical linear algebra , Krylov subspace methods , and domain decomposition techniques . His work bridges theoretical analysis with practical algorithm development, particularly in preconditioning strategies for iterative solvers. Current projects include the Primus Research Programme (2025-2028) titled 'Divide, Conquer and Optimize: Domain Decomposition Methods in Scientific Computing' which explores hierarchical matrix formats and mixed precision computations for optimizing domain decomposition methods. His publication record demonstrates consistent contributions to top journals including SIAM Journal on Scientific Computing and Linear Algebra with Applications. His research shows progression from foundational work on GMRES convergence to sophisticated analyses of block Runge-Kutta preconditioners and optimized Schwarz methods with data-sparse transmission conditions. His recent work increasingly integrates hierarchical matrix formats and explores mixed precision computing approaches. Swiss Government Excellence Scholarship (3-year award) Henri Fehr Prize for best PhD thesis in mathematics (2023) Primus Research Programme grant (2025-2028) Dr. Outrata actively mentors students and postdocs, currently supervising Marouan Handa and Lenka Ptáčková (PostDocs) along with undergraduate researchers. He teaches courses including Numerical Analysis and Introduction to Numerical Mathematics at Charles University. His collaborative network spans international institutions including University of Geneva, Virginia Tech, and various European research centers. He is also involved in organizing major conferences including DD29 and GAMM95.

Erin Claire Carsonمشاهده پروفایل

استادیار

• Numerical Linear Algebra
• Parallel Computing
• High-Performance Computing
• +۷ مورد دیگر

Erin Claire Carson is an Assistant Professor at the Department of Numerical Mathematics, Faculty of Mathematics and Physics, Charles University, Prague. A specialist in numerical linear algebra and high-performance computing, she leads the ERC Starting Grant project InEXASCALE focused on exascale algorithms. Her research explores mixed precision arithmetic, communication-avoiding Krylov subspace methods, and stability analysis in finite precision. Ph.D., University of California, Berkeley (2015) Courant Instructor, New York University (2015-2018) Postdoctoral Researcher and PRIMUS Fellow, Charles University (2018-2022) Dr. Carson's work bridges theoretical analysis with practical implementations for supercomputers. Her recent publications include advancements in low-synchronization orthogonalization, silent error detection, and multilevel sampling techniques. She received the 2025 Wilkinson Prize from SIAM for outstanding contributions to numerical analysis. Current trends in her research involve: Exploiting mixed precision arithmetic for algorithm acceleration Developing stable communication-avoiding Krylov methods Optimizing numerical stability in GPU-based solvers Understanding error propagation in multistage refinements Scientific honors: 2025 SIAM Wilkinson Prize in Numerical Analysis and Scientific Computing 2023 ERC Starting Grant recipient 2019-2022 PRIMUS Research Fellow She supervises PhD and Master’s students while teaching advanced courses in numerical linear algebra and high-performance computing. Her work has been featured in WIRED and Forbes Czech Republic for improving supercomputer algorithms.

• Linguistics
• Natural Language Processing
• Computational Linguistics
• +۲ مورد دیگر

Milan Kuchtiak is a researcher at the Institute of Formal and Applied Linguistics (UFAL), Faculty of Mathematics and Physics, Charles University in Prague. His work bridges theoretical linguistics with practical computational applications in language technology. His research spans core areas of modern linguistics: Natural Language Processing for machine translation and text analysis Computational modeling of linguistic structures Formal grammatical frameworks Applied language resource development These interests drive innovations in human-language technology interfaces and multilingual systems. UFAL operates as a dynamic research hub where theoretical linguistics converges with computer science to solve real-world language challenges across European and global contexts.

Martin Loeblمشاهده پروفایل

استاد

• Discrete Mathematics
• Graph Theory
• Combinatorial Optimization
• +۱۰ مورد دیگر

Professor Martin Loebl is a distinguished academic at the Department of Applied Mathematics, Faculty of Mathematics and Physics, Charles University in Prague. His extensive teaching portfolio includes Discrete and Continuous Optimization, Linear Programming, Nonlinear Optimization, Game Theory for intelligent networks, and Linear Algebra. His office is located in room S 325 on the 3rd floor in Lesser Town, Malostranské nám. 2/25, Prague 1. Loebl's research spans the breadth of discrete mathematics with particular emphasis on graph theory, combinatorial optimization, and applications to statistical physics. His work bridges theoretical mathematics with practical applications in network optimization, market equilibria, and critical distribution systems. He has made significant contributions to Kasteleyn theory, dimer models, Ising model applications, matroid theory, and matching theory. Analysis of his recent publications reveals a strong focus on the intersection of discrete mathematics with economic and social systems. His work increasingly addresses real-world challenges such as resource allocation during crises, market design, and fair division problems. The publications demonstrate sophisticated applications of graph theory and combinatorial optimization to game-theoretic models and distribution systems, with growing emphasis on practical implementations of theoretical frameworks. Scientific Awards: Prize of Rector of Charles University for the book 'Topics in Discrete Mathematics: Dedicated to Jarik Nešetřil on the Occasion of his 60th birthday' Professor Loebl coordinates the H2020-MSCA-RISE-2018 project 'Combinatorial Structures and Processes (CoSP)' and previously coordinated the Czech Ministry of Interior's 'Critical Distribution System (CRISDIS)' project motivated by the COVID-19 pandemic. His research has practical applications in winter road maintenance routing, market equilibria design, and critical goods distribution systems. He maintains an active research laboratory focused on discrete mathematics applications, with particular emphasis on translating theoretical results into practical algorithms for optimization problems in network design, resource allocation, and market mechanisms. His group has produced significant work on dimer models, Kasteleyn orientations, and their applications to statistical physics problems.

• Mathematics
• Discrete Mathematics
• Graph Theory
• +۳ مورد دیگر

Jan Kratochvíl is a Professor at the Department of Applied Mathematics within the Faculty of Mathematics and Physics at Charles University in Prague. His contact information includes the email honza@kam.mff.cuni.cz and his office is located in room S 226 on the 2nd floor of the building at Malostranské nám. 2/25, Prague 1. His research focuses on applied mathematics, with particular emphasis on discrete mathematics, graph theory, combinatorics, algorithms, and computational complexity. These fields reflect his contributions to theoretical computer science and mathematical problem-solving.

• Image Restoration
• Blind Deconvolution
• Superresolution
• +۵ مورد دیگر

Assoc. Prof. Filip Šroubek, Ph.D., DSc. is a Professor of Applied Mathematics at the Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University , and an Associate Professor at the Faculty of Mathematics and Physics, Charles University . He serves as Deputy Head of the Department of Image Processing at the Czech Academy of Sciences. His career spans postdoctoral research at Instituto de Optica (CSIC, Madrid) and a Fulbright scholarship at University of California, Santa Cruz . Education: M.Sc. in Computer Science, Czech Technical University (1998) Ph.D. in Computer Science, Charles University (2003) D.Sc. (Habilitation), Czech Academy of Sciences (2014) Research Interests: Šroubek specializes in image restoration , blind deconvolution , and superresolution , with applications in biomedical imaging, forensic analysis, and mobile device optimization. His work on multi-object tracking and blur-invariant algorithms bridges theoretical and applied computer vision. Publication Trends: His recent articles focus on neural networks for image processing (2025), biomedical imaging (2024), and dynamic object tracking (2021-2023). Collaborations span neuroscience , materials science , and forensic engineering . Scientific Awards: Fulbright Visiting Scholarship (2010/2011) Honorable Mention at GCPR (2019) Outstanding Contribution Award (2013) Advising & Grants: Supervised projects include PIZZARO (forensic image analysis), 4D-STEM/PNBD (electron diffraction), and SONO (ultrasound technology). Grants emphasize interdisciplinary applications of image processing in medicine and engineering. Labs & Teams: Affiliated with the Department of Image Processing (UTIA, Czech Academy of Sciences) , he collaborates with teams in biomedical imaging, quantum dot characterization, and mobile technology optimization.

• Probability Theory
• Mathematical Statistics
• Stochastic Processes
• +۲ مورد دیگر

Tomáš Rusý is a researcher at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague. His academic work focuses on theoretical and applied aspects of probability and statistics. His research interests span key areas in: Probability Theory Mathematical Statistics Stochastic Processes Statistical Analysis Theoretical Computer Science Currently, no specific publications, awards, or student supervision details are listed in the available data.

Petr Jancarمشاهده پروفایل

استاد

• Theoretical Computer Science
• Language and Automata Theory
• Computability and Complexity Theory
• +۴ مورد دیگر

Petr Jancar is a Professor at the Department of Informatics, Faculty of Science, Palacký University in Olomouc. He has previously held academic positions at VŠB-Technical University of Ostrava and the University of Ostrava. His research is centered in theoretical computer science, with deep contributions to automata theory, Petri nets, system verification, and computational complexity. Education RNDr, Theoretical Cybernetics and Mathematical Informatics, Faculty of Mathematics and Physics, Charles University, Prague (1982) CSc. (PhD equivalent), Dissertation: "Questions of Decidability of Dynamic Properties of Petri Nets", Charles University (1989) Appointed Associate Professor in Informatics, Faculty of Informatics, Masaryk University (1996) Appointed Professor in Informatics, VŠB-TU Ostrava (2008) His primary research interests include theoretical computer science , focusing on language and automata theory, computability and complexity, algorithm theory, and mathematical logic. A significant portion of his work addresses system verification , particularly using Petri nets and infinite-state systems. He investigates fundamental questions of bisimilarity, equivalence checking, decidability, and complexity in models like pushdown and one-counter automata. Jancar's recent publications (2020–2025) show a strong trend in advancing the theory of Petri nets, especially structural liveness, reachability, and home-space problems, often establishing high complexity bounds (e.g., Ackermann-complete). His work combines deep theoretical insight with formal rigor, frequently published in top venues like LICS, CONCUR, and LogMethCS. He has long-standing collaborations with researchers such as Jérôme Leroux, Zdeněk Sawa, and Antonín Kučera. Scientific Service and Recognition Member, Editorial Board, Information and Computation (since 2015) Member, Scientific Councils at Masaryk University, VŠB-TU Ostrava, Palacký University, and Brno University of Technology Chairman, GAČR Panel P202 Informatics (2015–2017) Member, Program Committees of major international conferences He has been a co-investigator and researcher on multiple GAČR projects, including those on algorithms for infinite-state systems, computational complexity of verification, and modeling of parallel systems. He has also participated in the Center for Applied Cybernetics. He has held research stays supported by grants in Germany, France, Sweden, and the UK. Laboratories and Research Groups His work is closely associated with formal methods and verification research groups at Palacký University and former affiliations. He has contributed to collaborative projects involving MPI verification and infinite-state system analysis.

• Information Literacy
• Copyright Law in Libraries
• Digital Literacy
• +۴ مورد دیگر

Pavla Vizváry serves as an Assistant Professor in the Department of Information Studies and Library Science at the Faculty of Arts, Masaryk University, Brno. Her academic profile integrates library science with contemporary digital challenges, focusing on practical applications for Czech cultural institutions and educational frameworks. Her research portfolio emphasizes: Information literacy assessment methodologies Copyright compliance in cultural heritage settings Digital competency development across age groups Information behavior in virtual environments Design thinking applications for library services Cybersecurity awareness in academic contexts Analysis of her recent publications reveals strategic alignment with Czech national priorities, particularly in open educational resources for librarianship, citation standardization in scholarly communication, and healthcare information literacy frameworks. Her work consistently bridges theoretical research with implementable solutions for Czech libraries and universities, addressing post-truth information challenges through evidence-based pedagogy. Dr. Vizváry actively secures competitive funding through Masaryk University's internal grants, the Czech Ministry of Culture's Public Library Information Services program, and international initiatives. Current projects (2024-2025) include the CAREER RESTART study on doctoral students' copyright behavior and e-learning innovations for campus-wide information literacy courses, while her leadership in annual National Seminars trains librarians in multimedia production and information technologies.

• Applied Mathematics
• Fuzzy Modelling
• Soft Computing
• +۲ مورد دیگر

Doc. RNDr. Martin Štěpnička, Ph.D. , Associate Professor at the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, serves as Vice-Rector for Research and Artistic Activities. His work bridges applied mathematics and fuzzy modeling. Research focuses on fuzzy relational compositions, inference systems, and time series analysis Developed software tools like lfl (Linguistic Fuzzy Logic in R) Organized international conferences (IFSA, EUSFLAT) Research Interests Štěpnička explores theoretical foundations and practical implementations of: Fuzzy relational equations and dragonfly operations Extensional fuzzy numbers and their applications Ensemble techniques for time series prediction Projects & Leadership Principal investigator for Czech Science Foundation grants Co-organizer of Czech-Japan seminars on data analysis Contributes to fuzzy logic software development

• Numerical Analysis
• Applied Mathematics
• Scientific Computing
• +۳ مورد دیگر

Martin Vohralík is a Professor at the French Institute for Research in Computer Science and Automation (INRIA) within the Department of Numerical Mathematics, focusing on advanced computational methodologies for mathematical problem-solving. His research spans core areas of numerical mathematics, with emphasis on algorithmic innovation and theoretical rigor. Key interests include: Numerical Analysis Partial Differential Equations Finite Element Methods Scientific Computing Computational Mathematics Applied Mathematics Professor Vohralík actively supervises graduate students and contributes to academic instruction, as evidenced by teaching schedules and supervised works documentation. His institutional role integrates research with educational responsibilities at INRIA.

Karel Tůmaمشاهده پروفایل

استادیار

• Non-Newtonian Fluids
• Viscoelastic Materials
• Finite Element Method
• +۴ مورد دیگر

Karel Tůma is an Assistant Professor at the Mathematical Institute within the Faculty of Mathematics and Physics at Charles University in Prague. His research focuses on computational modeling of complex fluid behaviors, particularly non-Newtonian and viscoelastic fluids, using Finite Element Methods. He actively contributes to two GAČR-funded research teams investigating complex fluid dynamics and fluid-structure interactions , and serves as a junior researcher at the University Center for Mathematical Modeling. Education RNDr. in Physics (Mathematical and Computational Modeling, 2014) Ph.D. in Physics (Mathematical and Computational Modeling, 2014) MSc in Mathematics (Mathematical Modeling in Physics and Technology, 2008) Bc. in General Mathematics (2006) Research Focus Dr. Tůma's work spans thermodynamics of complex materials, numerical methods for fluid-structure interactions, and phase-field modeling of material transformations. Key areas include: Development of thermodynamically consistent models for viscoelastic fluids and solids Finite Element simulations of contactless solid-fluid interactions Computational analysis of martensitic transformations in shape-memory alloys Publication Trends His recent articles (2021-2025) predominantly address advanced computational mechanics challenges, with strong emphasis on: fluid-structure interaction algorithms, non-Newtonian fluid modeling, thermomechanical coupling in materials, and novel numerical schemes for partial differential equations. Over 70% involve finite element implementations. Research Teams Dr. Tůma collaborates in multiple research groups: Josef Málek's GAČR team (complex fluid behavior) Sebastian Schwarzacher's GAČR team (fluid-structure interactions) University Center for Mathematical Modeling (applied analysis)

• Artificial Intelligence
• Multi-Agent Path Finding
• Robotics
• +۴ مورد دیگر

Jiří Švancara is a Lecturer at the Department of Theoretical Computer Science and Mathematical Logic (KTIML) within the Faculty of Mathematics and Physics at Charles University in Prague. His academic career focuses on Artificial Intelligence, particularly Multi-Agent Path Finding (MAPF), where he has established himself as a prominent researcher with numerous publications in top-tier conferences. His research interests span across Multi-Agent Path Finding , Robotics , Algorithm Design , and Constraint Satisfaction Problems . Švancara has made significant contributions to the field of MAPF, developing novel approaches for large-scale maps, temporal uncertainty handling, and efficient solving methods. His work bridges theoretical foundations with practical applications in robotics and transportation systems. Analysis of his recent publications reveals a strong focus on improving the scalability and robustness of MAPF algorithms. His research explores graph pruning techniques for large maps, handling temporal uncertainty in path execution, and comparing different objective functions for optimization. He has also investigated applications of MAPF in autonomous intersections and train routing systems, demonstrating the practical relevance of his theoretical work. Best Paper Award for 'Multi-agent Path Finding on Real Robots: First Experience with Ozobots' at IBERAMIA 2018 Švancara actively teaches multiple courses including Introduction to Artificial Intelligence, Propositional and Predicate Logic, and Algorithms and Data Structures. His teaching spans both theoretical foundations and practical implementation, with students engaging in programming assignments that reflect current AI challenges. His research collaborations are extensive, with frequent co-authorship with Roman Barták and other researchers in the field, indicating strong integration within the international AI research community. His laboratory work involves practical implementations of MAPF algorithms, including testing on real robots as evidenced by several publications describing experiments with Ozobots and other robotic platforms. This hands-on approach connects theoretical research with tangible robotic applications, providing valuable validation for his algorithmic contributions.

Jiří Fialaمشاهده پروفایل

دانشیار

• Graph algorithms
• Computational complexity
• Restricted graph classes
• +۴ مورد دیگر

Jiří Fiala is an Associate Professor at the Department of Applied Mathematics (KAM), Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. His academic career spans over two decades with significant contributions to graph theory and computational complexity. He has held positions at prestigious institutions including University of Kiel (Germany), University of Bergen (Norway), and University of Oregon (USA) as a Fulbright fellow. Dr. Fiala completed his Master's degree (Mgr.) at Charles University in 1997 followed by his PhD in 2000. His academic journey progressed from research and teaching assistant (2000-2008) to his current position as Associate Professor since 2008. His research focuses on graph algorithms and their computational complexity , with particular emphasis on restricted graph classes including bounded width structures, topological restrictions, and geometric intersection graphs. He has made significant contributions to algebraic graph theory , especially in homomorphisms and covering projections, as well as graph coloring and distance labeling problems. His work on Hamiltonian properties of graphs represents another important research direction. Analysis of his recent publications (2021-2025) reveals a continued focus on computational complexity of graph covering problems across various graph structures including regular trees, multigraphs with semi-edges, and disconnected multigraphs. His work frequently intersects with computational geometry, particularly in graph drawing problems related to outerplanar graphs and forest structures. The consistent publication record across top venues demonstrates sustained research productivity in theoretical computer science and discrete mathematics. Scientific recognition includes being awarded a Fulbright fellowship for research at the University of Oregon (2012-2013). His habilitation thesis Structure and Complexity of Locally Constrained Graph Homomorphisms (2007) represents a significant scholarly achievement. Dr. Fiala maintains active research collaborations, particularly with Jan Kratochvíl (45 joint publications), Daniël Paulusma (19), and Jan Bok (12), among others. His teaching responsibilities include advanced courses such as Introduction to Parameterized Algorithms for the winter term 2025-2026. His work is well-documented through comprehensive publication records available via DBLP, ResearcherID, ORCID, and Scopus.