جستجوی استاد راهنمای دانشگاهی

Miroslav Bulíčekمشاهده پروفایل

دانشیار

• Partial differential equations
• Continuum thermodynamics
• Mathematical modelling
• +۳ مورد دیگر

Miroslav Bulíček is an Associate Professor at the Mathematical Institute of the Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. He has been with Charles University since 2006, progressing from Researcher to Senior Assistant Professor (2012-2021) and currently serving as Associate Professor since January 2022. He is also a Senior Researcher at the University Center for Mathematical Modeling, Applied Analysis and Computational Mathematics (MathMac) since 2014. His educational background includes a habilitation in Mathematics-Mathematical Analysis from Charles University (2021), a Ph.D. in Mathematical and Computational Modeling from Charles University (2003-2006), and a Master's degree in Mathematical modeling in physics and technology from Charles University (1998-2003). Bulíček's research focuses on Partial differential equations, Continuum thermodynamics, and Mathematical modelling . His work primarily addresses the mathematical analysis of nonlinear systems describing flows of incompressible fluids, with particular emphasis on thermodynamically compatible models, implicit constitutive relations, and viscoelastic rate-type fluids. He has made significant contributions to the understanding of existence, uniqueness, and regularity of solutions to complex fluid models, especially those describing far-from-equilibrium systems in continuum thermodynamics. His recent publications demonstrate a strong focus on advanced mathematical analysis of fluid models with applications in material sciences. The research trends show increasing sophistication in handling non-Newtonian fluids, stress-diffusion phenomena, and thermodynamically consistent models. His work bridges pure mathematical analysis with practical applications in continuum mechanics, particularly in the analysis of viscoelastic rate-type fluids with stress diffusion. NEURON Fund for Support of Science Award (2012) for the project "Qualitative analysis of incompressible Navier-Stokes-Fourier equations" Czech Mathematical Society Award for young researchers (2014) for publications during 2009-2013 Bulíček has successfully supervised multiple PhD students including Mark Dostalík, Michael Zelina, Michal Bathory, and Tomáš Los. He serves as principal investigator for the GAČR project 20-11027X "Mathematical analysis of partial differential equations describing far-from-equilibrium open systems in continuum thermodynamics" (2020-present). His research has been supported by various grants including GAČR project 18-12719S, GAČR 16-03230S, and ERC-CZ no. LL1202, demonstrating sustained funding for his research program. He is actively involved in the University Center for Mathematical Modeling (MathMac) and has organized several international conferences and workshops, including the "Modelling, partial differential equations analysis and computational mathematics in material sciences" conference in Prague (2024) and the "Mathematical Aspects of Fluid Flows" EMS School in Kácov (2024), contributing significantly to the mathematical community in fluid dynamics and partial differential equations.

Michal Pavelkaمشاهده پروفایل

دانشیار

• Geometric mechanics and thermodynamics (GENERIC)
• Modelling of electrochemical systems (fuel cells, batteries)
• Non-equilibrium continuum thermodynamics and hyperbolic systems
• +۱ مورد دیگر

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.

Jiří Šubrtمشاهده پروفایل

استاد

• Historical Sociology
• Sociological Theory
• Social Role Analysis
• +۳ مورد دیگر

Jiří Šubrt is a Professor at Charles University's Faculty of Humanities , Department of Sociology. He has been active since 1990 and serves as the Guarantor of the Study Programme in Historical Sociology. 1977-1983: Faculty of Arts, Charles University Prague 1985-1990: Post-graduate student, Institute of Sociology USSR Academy of Sciences His research spans historical sociology , social theory , and collective memory . He critiques Niklas Luhmann's systemic sociology and Parsons' action theory , while exploring the individual-society dialectic through Durkheimian concepts. His 2023 monograph The Sociological Inheritance of the 1960s examines paradigm shifts in Czech sociology during that decade. Recent publications include co-authored works like Time, Memory, and the Processual Approach in Historical Sociology (2024) and Individual and Society (2018), which address modernization, globalization, and civilizational clashes. His 2013 edited volume Historical Consciousness innovatively applies sociological tools to analyze Czech public perceptions of history, while the 2014 Collective Memory provides theoretical clarity in a conceptual labyrinth. Šubrt has collaborated with scholars like Jóhann Páll Árnason on comparative civilization analysis and with Jan Balon on action theory. His work bridges Czech and international sociological discourses , particularly in Central European contexts.

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.

Jan Swartمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Statistics
• Interacting Particle Systems
• +۵ مورد دیگر

Dr. Jan Swart is a Professor at the Department of Probability and Mathematical Statistics within the Faculty of Mathematics and Physics at Charles University, and a researcher at the Institute of Information Theory and Automation (UTIA) of The Czech Academy of Sciences in Prague. His office is located at Pod vodarenskou vezi 4, 18200 Praha 8, Czech Republic, where he works in Room 112 of the Stochastic Informatics department. Professor Swart specializes in probability theory with particular expertise in interacting particle systems, stochastic processes, and their mathematical foundations. His research spans quantum probability, random matrix theory, Markov chains, large deviations, and Brownian continuum objects. He has developed significant theoretical frameworks for understanding complex stochastic systems and their scaling limits. His publication record shows a consistent focus on advancing the mathematical understanding of interacting systems, with lecture notes and research materials that have become valuable resources in the field. His work demonstrates strong connections between theoretical probability and applications in statistical physics and theoretical biology. Professor Swart has supervised numerous theses and taught a wide range of advanced courses including Quantum Probability Theory, Interacting Particle Systems, Random Matrix Theory, and Advanced Markov Chains. He has also created a comprehensive simulation library for interacting particle systems that enables numerical exploration of these complex models. Notably, Professor Swart has also contributed to mathematical education through creative works including a mathematical fairy tale titled "Roulette a la princess" that explores game theory and probability concepts in an engaging narrative format. His work on the Czech language demonstrates his integration into the local academic community while maintaining international scholarly connections.

• 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.

Pavel Cejnarمشاهده پروفایل

استاد

• Quantum Theory
• Quantum Chaos
• Quantum Phase Transitions
• +۳ مورد دیگر

Pavel Cejnar is a Professor at the Institute of Particle and Nuclear Physics, Faculty of Mathematics and Physics, Charles University in Prague. He has been a full professor since 2012, following his appointment as an associate professor in 2004 and assistant professor in 1995. His research focuses on quantum theory, particularly quantum phase transitions, quantum chaos, and nuclear structure models as laboratories for studying quantum phenomena. Cejnar received his Master's degree in nuclear physics from Charles University in 1988, his Ph.D. in 1995 with a thesis on "statistical modelling of nuclear processes," and his Doctor of Science (DSc.) in 2010. He has held research positions at several international institutions including the University of Fribourg, Yale University, Michigan State University, University of Stellenbosch, University of Cologne, and the European Center for Theoretical Studies in Nuclear Physics in Trento. His research interests span quantum chaos, quantum phase transitions, quantum entanglement, and quantum computing. He views nuclear-structure models as ideal laboratories for studying quantum effects. His work has significant implications for understanding fundamental quantum phenomena in many-body systems. Professor Cejnar's publications show a strong focus on excited-state quantum phase transitions, with numerous papers exploring the connections between quantum criticality, quantum dynamics, and many-body physics. His recent work has delved into quantum geometry, open quantum systems, and the application of quantum phase transitions to quantum information processing. Among his notable scientific contributions are the development of theoretical frameworks for understanding quantum phase transitions in nuclear models and their extensions to other quantum systems. His work bridges nuclear physics with broader quantum physics concepts. Cejnar has supervised numerous students at various levels, from bachelor's theses to PhD dissertations, with research topics centered around quantum phase transitions, quantum chaos, and quantum information. He is also actively involved in teaching quantum mechanics and related topics to both physics students and non-specialists. He has contributed significantly to science popularization, including co-authoring the book "Einstein again in Prague" and developing the "Physics as an Adventure of Knowledge" course, which introduces key concepts of modern physics to bachelor's students.

• Polymer Physics
• Macromolecular Physics
• Soft Matter Physics
• +۲ مورد دیگر

Assoc. Prof. Lenka Hanyková serves at the Department of Macromolecular Physics within the Faculty of Mathematics and Physics at Charles University in Prague. Her office is located in room A 531 (606) on the 5th floor of the Cathedral building at V Holešovičkách 747/2, Prague 8. Her research centers on Macromolecular Physics with emphasis on polymer dynamics, soft matter systems, and structural properties of complex materials. She maintains active teaching responsibilities evidenced by published course schedules and exam dates, contributing significantly to the department's educational mission. Prof. Hanyková supervises graduate student work as indicated by the 'Supervised work' section in her profile, though specific student names aren't listed. She can be contacted via telephone at +420 95155 2368 or through her institutional email hanykova@kmf.troja.mff.cuni.cz during academic operations.

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.

• Stochastic Geometry
• Spatial Statistics
• Neurophysiology
• +۶ مورد دیگر

Prof. Viktor Beneš is a distinguished academic at the Department of Probability and Mathematical Statistics , Faculty of Mathematics and Physics, Charles University, Prague. His work bridges stochastic geometry and point process theory with applications in neurophysiology , materials science , and public administration . Key research themes include space-time modeling , nonlinear filtering , and statistical inference for complex systems. His recent publications focus on spatio-temporal dynamics in biological and physical systems, unions of interacting discs for spatial modeling, and stochastic microstructure analysis in polycrystalline materials. Collaborative projects span Bayesian geostatistics , survival analysis , and neuronal signal processing . Key contributions to stochastic modeling of neurophysiological experiments Developed nonlinear filtering methods for doubly stochastic processes Led international research on Markov point processes with perfect simulation

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.

Petr Navrátilمشاهده پروفایل

استادیار

• Control Systems
• Adaptive Control
• Recursive Estimation
• +۳ مورد دیگر

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.

• Philosophy
• Hermeneutics
• Mathematical Modeling
• +۳ مورد دیگر

Alice Kliková is a researcher at the Center for Phenomenological Research (a joint institution of the Faculty of Arts, Charles University and the Academy of Sciences of the Czech Republic) and teaches Introduction to Hermeneutics at the Faculty of Humanities, Charles University. With a dual background in Mathematics and Philosophy, she bridges computational science and hermeneutic theory. Education: Ph.D. in Mathematics, Faculty of Mathematics and Physics, Charles University (2000) RNDr. (Doctor of Natural Sciences), Faculty of Music and Dramatic Arts, Charles University (2000) Master's in Integral Human Studies (Philosophical Anthropology focus), Faculty of Humanities, Charles University Mgr. in Mathematics, Faculty of Mathematics and Physics, Charles University (1997) Doctoral studies in Philosophy under dual supervision at University of Paris X, Nanterre Her research integrates mathematical modeling of fluid dynamics with philosophical hermeneutics and phenomenology. Early work focused on adaptive methods for Euler/Navier-Stokes equations, while recent scholarship examines Czech science policy and civil society. This interdisciplinary approach reveals deep connections between computational precision and interpretive frameworks in understanding complex systems. Publications show a clear trajectory from technical computational mathematics (adaptive mesh refinement, error estimation) to philosophical-social critique (science policy, hermeneutics). The mathematical works emphasize numerical robustness in fluid dynamics, while later articles analyze societal structures through phenomenological lenses—demonstrating how methodological rigor transcends disciplinary boundaries. Scientific Awards: Josef Hlávka Prize (2000) 'Talent 97' recognition by Czech Education Minister (1998) European Commission scholarship for Young European Forum (1998) French government research scholarships (1998, 2000-2001) Multiple Dean's extraordinary scholarships (1997-1999) Kliková secured significant international funding including French government doctoral scholarships and CEFRES research grants. She co-organizes student debate forums on EU integration and Czech politics since 1999 and served as Impuls 99 spokesperson (2000). While no formal advisees are documented, her industry collaboration with BENZ HMB Czech since 1995 demonstrates applied research impact in paper industry control systems. As a core member of the Center for Phenomenological Research and the Student Club at the Center for Theoretical Studies, she bridges academic theory with civic engagement through regular seminars on hermeneutics, mathematical modeling, and methodology of human/natural sciences.

• Supramolecular Chemistry
• Organic Chemistry
• Anion Recognition
• +۴ مورد دیگر

Prof. Vladimír Šindelář is a full Professor and Head of the Department of Supramolecular Chemistry at Masaryk University's Faculty of Science in Brno, Czech Republic. His office is located in building A08/117 at Kamenice 753/5. Research Focus: Šindelář leads research in supramolecular chemistry with emphasis on: Design and synthesis of macrocyclic anion receptors (bambusurils/cucurbiturils) Transmembrane anion transport mechanisms Host-guest systems for environmental and biomedical applications Development of materials for selective ion recognition and extraction Recent Publication Trends (2024-2025): His 10 most recent publications focus on structural modifications of bambusurils to enhance anion binding affinity/selectivity, development of transport assays, hybrid macrocycle design, and applications in gold extraction and photodynamic therapy. Research demonstrates consistent innovation in macrocycle functionalization and quantitative analysis of supramolecular interactions. Current Projects: Principal Investigator: 'Chemical modification of bambusurils to adjust binding affinity and selectivity' (GA23-05271S, 2023-2025) Researcher: 'CETOCOEN Excellence' - EU Horizon 2020 project (2020-2027) Participant in multiple student research projects on molecular systems for sensing and environmental applications Student Supervision: Actively mentors doctoral and master's students in organic/supramolecular chemistry, with thesis topics covering anion receptor synthesis, supramolecular interactions, and functional materials development.

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.