جستجوی استاد راهنمای دانشگاهی

Ondřej Pejchaمشاهده پروفایل

دانشیار

• Astrophysics
• Binary Stars
• Common Envelope Evolution
• +۷ مورد دیگر

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.

Jaroslav Hronمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Biomechanics
• Numerical Analysis
• +۳ مورد دیگر

Dr. Jaroslav Hron is an Associate Professor at the Department of Numerical Mathematics within the Faculty of Mathematics and Physics at Charles University in Prague, Czech Republic. His primary research focuses on fluid mechanics, biomechanics, and numerical analysis, with particular expertise in fluid-structure interaction problems and their applications to cardiovascular mechanics. Dr. Hron's research interests span fluid mechanics, biomechanics, numerical analysis, and computational mathematics. His work primarily investigates fluid-structure interaction problems, particularly as they apply to cardiovascular mechanics and hemodynamics. He has made significant contributions to the understanding of non-Newtonian fluids, pressure-dependent viscosities, and the development of advanced numerical methods for solving complex fluid flow problems. His research often bridges the gap between theoretical mathematics and practical applications in biomedical engineering. Analysis of his recent publications reveals a strong focus on cardiovascular applications, particularly in determining pressure data from velocity measurements and modeling blood flow in complex geometries. His work demonstrates a consistent progression from theoretical considerations to practical applications in biomechanics, with increasing emphasis on computational methods for fluid-structure interaction problems. The research shows interdisciplinary collaboration across mathematics, engineering, and medical fields. Dr. Hron has been actively involved in academic advising and research supervision, contributing to the development of computational methods in fluid mechanics. His work has established important benchmarks in fluid-structure interaction simulation, particularly in hemodynamic applications. His laboratory work primarily focuses on computational fluid dynamics and fluid-structure interaction, with applications to cardiovascular mechanics. He has developed and refined numerical methods for simulating complex fluid behaviors, particularly those relevant to biological systems.

• Boolean Functions
• Horn Formulas
• Computational Complexity
• +۷ مورد دیگر

Ondřej Čepek is an Associate Professor at the Department of Theoretical Computer Science and Mathematical Logic, Faculty of Mathematics and Physics, Charles University in Prague. His academic career spans several decades with numerous publications demonstrating his expertise in theoretical computer science, particularly in Boolean logic, computational complexity, and operations research. Čepek's research primarily focuses on Boolean functions, Horn formulas, and computational complexity. His work explores structural properties of logical constructs, minimization techniques, and applications in knowledge representation. He has made significant contributions to understanding satisfiability testing complexity, CNF minimization, and Boolean function representations using interval structures. His research also extends to scheduling problems, particularly just-in-time scheduling with periodic time slots, where he has developed efficient algorithms for multislot scheduling on identical parallel machines and nonpreemptive flowshop scheduling with machine dominance. Analysis of his recent publications reveals a consistent research trajectory from theoretical foundations to practical applications. His work demonstrates expertise in tractable classes of Boolean formulas, knowledge compilation techniques, and the relationship between computational complexity and logical representations. The recurring themes include efficient representations for logical formulas, characterization of tractable problem classes, and development of optimization algorithms for discrete structures. His collaborations with researchers like Petr Kučera, Roman Barták, and Endre Boros have produced influential work in constraint programming and artificial intelligence. Distinguished Paper Award at CP2004 for 'Unary resource constraint with optional activities' While specific details about his advising activities are not provided in available sources, his extensive publication record spanning from 1989 to 2017 suggests substantial involvement in academic mentoring. His numerous collaborations both within Charles University and internationally indicate an active role in the academic community. His research has practical applications in knowledge-based systems, constraint satisfaction problems, and artificial intelligence. Čepek maintains an active research profile with publications continuing through 2017. His recent work has focused on knowledge compilation techniques, recognition of tractable DNFs, and the complexity of CNF minimization. He has also explored applications of Boolean techniques to DNA microarray data analysis, demonstrating the interdisciplinary nature of his research.

• Bioeconomy
• Forestry
• Wood Economics
• +۳ مورد دیگر

Radek Rinn serves as an Educator at the Department of Forestry and Wood Economics within the Faculty of Forestry and Wood Technology and holds the dual role of First Vice-Dean and Vice-Dean for Strategy, Development and International Relations at the Faculty of Law, both at the Czech University of Life Sciences Prague. His office is located at FLD/127 with cellular contact 602 298 240. His research integrates bioeconomy, environmental science, and forestry economics, focusing on sustainable development through investigations into microplastic contamination pathways, cross-regional bioeconomy policy frameworks (EU and Mekong nations), and innovative wood technology applications including bullet-resistant building envelopes. He examines socio-economic dimensions of forest management, bioeconomy-based tourism models, and financial mechanisms supporting sustainable forestry. Analysis of his 2021-2024 publications reveals a dominant bioeconomy research trajectory spanning environmental contaminants (microplastics, heavy metals), policy implementation, and technological innovation. Key thematic clusters include ecological risk assessment in coastal systems, EU bioeconomy sustainability metrics, Southeast Asian stakeholder perspectives, and digital forestry solutions using AI/GIS platforms, demonstrating consistent interdisciplinary bridging of environmental science and economic policy. Rinn secured research funding including the CIGA project "Analysis of the state and perspectives of the wood processing industry in the Czech Republic" (2017-2018) and participates in international collaborations focused on ecological risk assessment and forest bioeconomy development across Czechia, India, and Southeast Asia.

• Medieval Religious History
• Digital Humanities
• Inquisition Studies
• +۳ مورد دیگر

David Zbíral is Professor and Deputy Head of the Department of Religious Studies at Masaryk University's Faculty of Arts, where he leads research initiatives through the Center for Digital Research on Religion. His academic position involves both administrative leadership and advanced research in medieval religious history with computational methodologies. His research focuses on applying digital humanities approaches to medieval inquisition records, particularly through: Computational analysis of religious dissent and heresy prosecutions Network modeling of social and religious relationships Gender studies in medieval religious contexts Digital reconstruction of historical judicial processes Semantic text modeling of historical documents Zbíral's recent publications demonstrate a strong emphasis on computational methods in historical research, particularly using network analysis, natural language processing, and quantitative approaches to study medieval inquisition records across Europe. His work frequently examines social dynamics, gender patterns, and spatial relationships in religious dissent cases from the 11th to 15th centuries. He leads the DISSINET project (Networks of Dissent), which develops computational models of dissident and inquisitorial cultures in medieval Europe. This interdisciplinary initiative combines historical research with cutting-edge digital methodologies to analyze patterns of religious nonconformism.

Daniel Říhaمشاهده پروفایل

استادیار

• Interactive Media
• Videogame Studies
• Serious Games
• +۱ مورد دیگر

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.

• Structural Bioinformatics
• Data Visualization
• Protein Structure
• +۴ مورد دیگر

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.

Vladimír Plickaمشاهده پروفایل

پژوهشگر

• Earthquake location
• Empirical Green's function modeling
• Finite-extent seismic sources
• +۲ مورد دیگر

Dr. Vladimír Plicka is a research geophysicist at the Department of Geophysics , Faculty of Mathematics and Physics, Charles University in Prague. Since 1999, he has been responsible for seismic station operations in Prague and Greece. His research focuses on earthquake source characterization , seismic wave propagation , and crustal deformation analysis using empirical Green's functions and waveform inversion techniques. PhD in Geophysics (2003, Charles University) Coordinated multinational projects: CzechGeo/EPOS (2016-2019), MOBILITY (2012-2013), Greece geodesy (2007-2009) Key research areas include: Earthquake location with P/S arrival time inversion Finite-source modeling using Empirical Green's Functions Strong motion simulation for seismic hazard assessment Crustal velocity structure from neighborhood algorithm inversions Hybrid seismic simulation combining deterministic and stochastic methods His recent publications show expertise in: Marmara and Hellenic slab intermediate-depth earthquakes Corinth Rift seismic sequence analysis 3D-to-1D crustal model conversion for seismic monitoring North Korea nuclear test source modeling He has developed: Fortran/Matlab tools for source parameter inversion GMT-compatible visualization scripts NonLinLoc uncertainty analysis software

Markéta Pazderkováمشاهده پروفایل

پژوهشگر

• ROA spectroscopy
• Raman spectroscopy
• circular dichroism
• +۶ مورد دیگر

Markéta Pazderková is a researcher at the Institute of Physics, Faculty of Mathematics and Physics of Charles University in Prague. She completed her doctoral studies in Biophysics, Chemical and Macromolecular Physics in 2015 and maintains an active research program in biomolecular spectroscopy. Her educational background includes a BSc in General Physics (2007), MSc in Biophysics and Chemical Physics (2009), and PhD (2015), all from Charles University's Faculty of Mathematics and Physics. Her doctoral dissertation focused on "Raman optical activity of biomolecules: from simple models to complex systems." Dr. Pazderková specializes in advanced spectroscopic techniques including Raman optical activity (ROA), Raman spectroscopy, circular dichroism, and infrared spectroscopy of peptides and proteins. Her research focuses on chiroptical studies of disulfide bridges, spectroscopy of hormonally active oligopeptides, and antimicrobial peptides interacting with artificial membranes. She combines experimental approaches with theoretical interpretations to understand biomolecular structure at the molecular level. Her publication record from 2010-2020 demonstrates a clear progression from fundamental studies of small model systems to more complex biological systems. Early work focused on basic spectroscopic properties of nonplanar amide groups and disulfide bridges, while more recent research examines antimicrobial peptides and their interactions with membrane models. The interdisciplinary nature of her work bridges physics, chemistry, and biology with significant applications in structural biology. Dr. Pazderková has led research projects including the GAUK grant "Amide and disulfide structural markers in Raman optical activity spectra" (project ID 578212). She maintains active international collaborations through research stays at BioTools Inc. in Florida and the University at Albany in New York, working with leading researchers in vibrational spectroscopy including Prof. L. A. Nafie, Dr. Rina K. Dukor, and Prof. I. Lednev.

Marek Omelkaمشاهده پروفایل

دانشیار

• Asymptotic Statistics
• Nonparametric Statistics
• Copula Models
• +۱۰ مورد دیگر

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.

Martin Kouteckýمشاهده پروفایل

دانشیار

• Parameterized Complexity
• Integer Programming
• Combinatorial Optimization
• +۱ مورد دیگر

Martin Koutecký is an Associate Professor at the Institute of Informatics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. His research primarily focuses on parameterized complexity of integer programming, combinatorial optimization, and computational social choice. He completed his PhD under Petr Kolman at Charles University and conducted postdoctoral research at Technion (Haifa, Israel) under Asaf Levin and Shmuel Onn. Research Interests: Koutecký's work bridges theoretical computer science and optimization, with emphasis on: Designing efficient algorithms for integer programming under structural constraints Applying optimization techniques to computational social choice problems Developing parameterized approaches for combinatorial optimization Exploring geometric perspectives in election modeling and bribery problems Publication Focus: His recent articles (2020-2025) demonstrate consistent work in algorithm design for optimization problems, particularly in integer programming variants and computational social choice. Key themes include block-structured IP, parameterized complexity, election modeling, and convex optimization. Methodological innovations frequently involve polyhedral theory, approximation algorithms, and complexity analysis.

Marián Halásمشاهده پروفایل

استاد

• Human Geography
• Spatial Analysis
• Regional Taxonomy
• +۶ مورد دیگر

Marián Halás is a Professor and Deputy Head of the Department of Geography at Palacký University Olomouc's Faculty of Science. He has been affiliated with the university since 2006, progressing from lecturer to full professor. His academic career began at Comenius University in Bratislava where he earned his PhD and worked as a lecturer from 1997-2006 before moving to Olomouc. Halás completed his academic qualifications through a clear progression: MSc (1997) from Comenius University in Bratislava in Mathematics and Geography, PhD (2003) in Human Geography from the same institution, Associate Professor (2008) in Regional Geography, and finally Full Professor (2019) from University of Ostrava in Political and Cultural Geography. His habilitation focused on 'Possibilities of geography in identification, approximation and planning of organisation of spatial elements' and his professorial lecture addressed 'Gerrymandering and nationalism in administrative geography – lessons from Slovakia'. Professor Halás specializes in spatial analysis and regional geography , with particular expertise in functional regions, spatial interactions, and settlement systems. His research combines theoretical frameworks with empirical analysis of spatial patterns using innovative data sources, especially mobile phone location data. He has developed methodologies for analyzing spatial uncertainty in regional systems and temporal dimensions of urban dynamics. His work bridges human geography with practical applications in urban planning and regional development policy. The analysis of Halás's recent publications (2017-2025) reveals a clear research trajectory focused on spatial interactions, with increasing sophistication in methodology and data sources. Early work (2017-2019) established foundations in functional region analysis and spatial uncertainty, while more recent publications (2020-2025) leverage mobile phone data and big data approaches to examine temporal dimensions of spatial interactions. His research shows strong continuity in core themes while progressively incorporating more advanced analytical techniques and contemporary data sources. Halás has successfully led multiple research projects, primarily funded by the Czech Science Foundation and internal university grants. His current research (2024-2026) focuses on 'Structures of spatial interactions: role of distance and spatial patterns,' continuing his long-standing investigation into spatial organization principles. He has supervised numerous student theses and contributed to academic community service through editorial board memberships for journals like Moravian Geographical Reports and Geographia Cassoviensis. As an active educator, Halás teaches courses including Fundamentals of Human Geography, Municipal Economy and Policy, Population and Settlement Geography, Regions and Regional Taxonomy, and Spatial Analysis and Spatial Interactions. His teaching reflects his research expertise, connecting theoretical concepts with practical applications in spatial analysis and regional planning. He maintains regular consultation hours for students on Monday mornings and is deeply integrated into the academic community through his departmental leadership role and participation in scholarly societies.

• 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.

• Forest Entomology
• Forest Protection
• Remote Sensing in Forestry
• +۴ مورد دیگر

Roman Modlinger is a Researcher at the Faculty of Forestry and Wood Technology (Czech University of Life Sciences Prague) with primary academic focus in Forest Entomology , Forest Protection , and Remote Sensing Applications in Forestry . His work addresses critical forest health challenges, particularly bark beetle ( Ips typographus ) infestations in Central European spruce forests. His research integrates: Entomology : Behavioral and genetic studies of bark beetles Remote Sensing : UAV-borne multispectral imagery and LiDAR for forest monitoring Microbial Ecology : Gut microbiome analysis in forest pests Chemical Ecology : Application of semiochemicals for pest control Forest Resource Management : Impact assessment and mitigation strategies Roman Modlinger has contributed to 15 recent articles (2023-2024) focusing on: Bark beetle outbreak modeling and prevention Machine learning applications for multispectral forest analysis Microbial community dynamics in forest pests Wood quality assessment post-infestation Chemical repellent formulations Sniffer dog applications in forest monitoring He has also developed innovative software (PHENIPS) for bark beetle development prediction and leads practical forest protection methodologies. His work includes significant collaboration with European researchers on climate change impacts on forest ecosystems.