جست‌وجوی استاد و پژوهشگر

• Fluid structure interaction
• Calculus of Variations
• Partial differential equations
• +۱ مورد دیگر

Malte Laurens Kampschulte serves as Assistant Professor at the Department of Mathematical Analysis, Faculty of Mathematics and Physics, Charles University in Prague. He leads research within S. Schwarzacher's fluid structure interaction group and the OP JAK project FerrMion, following his role as Substitute Professor at the University of Leipzig during Summer 2024. His academic credentials include: B.Sc in Mathematics (2009) and Computer Science (2010) from RWTH Aachen M.Sc in Mathematics (2012) from RWTH Aachen Ph.D. in Mathematics (2018) with thesis "Gradient flows and a generalized Wasserstein distance in the space of Cartesian currents" Dr. Kampschulte's research centers on fluid structure interaction, calculus of variations, partial differential equations, and geometric measure theory. His work examines variational aspects of Eulerian-Lagrangian frameworks, relaxation methods for generalized solutions, topological invariants in PDEs, and current transport on manifolds. This integrated approach bridges theoretical analysis with physical applications in continuum mechanics. Analysis of his 2023-2024 publications reveals concentrated focus on three-dimensional fluid-structure systems with viscoelastic solids, compressible fluids, and self-collision phenomena. Key contributions include global weak solution frameworks for contact problems, variational approaches to hyperbolic evolutions, and regularity analysis for free surface dynamics—demonstrating both mathematical rigor and physical relevance. As Principal Investigator for the PRIMUS grant "Qualitative and quantitative Analysis for non-linear non-uniformly elliptic models" (previously held by Anna Balci), he oversees active research funding while mentoring through an open PostDoc position. His leadership extends to the FerrMion project where he develops mathematical frameworks for fluid-matter interactions. Based in the Department of Mathematical Analysis at Charles University, Dr. Kampschulte collaborates within S. Schwarzacher's research group to advance mathematical understanding of fluid-structure systems through both theoretical innovation and computational modeling.

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.

• Distributed Systems
• Reliable Systems
• Software Engineering
• +۳ مورد دیگر

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.

• 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.

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.

• Urban Design
• Architecture
• Public Space Design
• +۵ مورد دیگر

Ing. arch. Jaroslav Sedlák, Ph.D., serves as an Assistant Lecturer at the Department of Urban Design within the Faculty of Architecture at Brno University of Technology. His teaching portfolio includes foundational courses like Basics of Architecture (ZAR-A), Master's Thesis Concept Elaboration (MA1-A), and advanced studio work (AT5-A) for the 2025/2026 academic year. Sedlák holds a Ph.D. and maintains active engagement in both academic instruction and professional architectural practice. His research centers on the intersection of urban design, architectural history, and visual culture with specific focus on Brno's urban landscape. Key interests include socialist-era architecture, post-WWII public space development, exhibition design, and the cultural dimensions of built environments. Sedlák's work consistently examines how political regimes shape urban forms and how communities interact with designed spaces, particularly through the lens of Czechoslovak architectural heritage. Sedlák's publication trajectory (2014-2022) reveals deep specialization in Czech architectural history and urban transformation. His collaborative works with colleagues like J. Kristek and Š. Svobodová demonstrate recurring themes: the social life of panel housing estates, visual propaganda in socialist cities, and contemporary interventions in public space. The publications form a cohesive body exploring how architecture mediates between political systems and everyday life. No scientific awards, prizes, or fellowships are documented in available sources. Sedlák's academic contributions manifest primarily through teaching supervision and collaborative projects rather than formal grant funding. He guides master's students in thesis development and studio work, emphasizing design research and practical implementation. Sedlák operates within a dynamic creative network centered around the Faculty of Architecture. His frequent collaborations with J. Kristek (exhibition design), Š. Svobodová (urban research), and D. Helešic (architectural competitions) form the core of his professional ecosystem. These partnerships produce tangible outputs including architectural competitions, public installations, and exhibitions that bridge academic research with urban practice.

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.

• 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.

• Forest Management
• Climate Change Impacts
• Optimization
• +۴ مورد دیگر

Prof. Róbert Marušák is a faculty member at the Czech University of Life Sciences Prague (CZU), serving as Dean of the Faculty of Forestry and Wood Technology and Chairman of its Scientific Council. He leads the Forest Risk Research Department and contributes to academic governance via the Rector's Board. His research focuses on forest management optimization , climate change impacts (e.g., bark beetle outbreaks, fire risks), and decision support systems using GIS and remote sensing. Key interests include sustainable harvest scheduling, disturbance resilience, and ecosystem service valuation. Recent publications emphasize climate-forest interactions, fire modeling, pest prediction, and geospatial tools. Trends show strong integration of computational methods (fuzzy-AHP, Bayesian networks) with ecological fieldwork, advancing adaptive forest management in Central Europe. He coordinates projects like the Excellent Research EVA 4.0 and oversees labs specializing in forest inventory technologies (e.g., terrestrial LiDAR) and risk assessment frameworks.

• Syntax
• Morphology
• Typology
• +۳ مورد دیگر

Pavel Caha is an Associate Professor at the Department of Czech Language, Faculty of Arts, Masaryk University, where he also serves as Vice-Dean for Research and Project Activities. His academic career spans theoretical linguistics with a focus on syntax and morphology, particularly within the Nanosyntax framework. Dr. Caha received his PhD from CASTL in Tromsø. His educational background has prepared him for advanced research in linguistic theory and cross-linguistic analysis, with particular expertise in Czech language structures. Dr. Caha's primary research interests center around syntax, morphology, and typology, with a particular focus on the Nanosyntax framework. His work investigates morphological puzzles through the lens of syntactic decomposition, examining phenomena such as allomorphy, syncretism, case marking, and degree expressions. He has made significant contributions to understanding how morphological patterns can be explained through syntactic operations, challenging traditional boundaries between syntax and morphology. His research often bridges theoretical linguistics with empirical analysis of specific languages, particularly Czech but also extending to diverse languages like Russian, Tamil, and Dutch. His recent publications reveal a consistent focus on morphological theory within the Nanosyntax framework, with particular attention to allomorphy, syncretism, and case systems. His work demonstrates how seemingly complex morphological patterns can be derived from simpler syntactic operations. There's a clear progression in his research from foundational work on Czech morphology to broader theoretical contributions and cross-linguistic applications. His collaborative work with researchers like Karen De Clercq and Guido Vanden Wyngaerd has been particularly influential in advancing the Nanosyntax framework. Dr. Caha has been recognized for his academic contributions through multiple research grants and invitations to present at prestigious institutions including MIT and Stanford. His leadership roles and successful grant acquisitions demonstrate recognition within the academic community. As a supervisor, Dr. Caha has successfully guided several PhD students to completion, including Maria Cortiula (2023), Lucie Janků (2022), Fenna Bergsma (2021), and Veronika Kloudová (2020). His grant portfolio includes significant projects such as 'A life with Language: the nature and ontogeny of linguistic communication' (2025-2028), 'Stem Morphology' (2025-2027), and 'Case marking in subordinate clauses' (2022-2024), demonstrating sustained research funding and leadership in his field. Dr. Caha is actively involved in the academic community through editorial board memberships at journals including Open Slavic Linguistics, Continua (Penn State), The Rivista, and Textbooks in Language Sciences. He was a member of the Academic Senate at the Faculty of Arts from 2021-2023. His work continues to shape theoretical approaches to morphology and syntax, particularly through the development and application of the Nanosyntax framework.

• 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

• 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.

Václav Potočekمشاهده پروفایل

مدرس

• Quantum Walks
• Quantum Optics
• Quantum Information
• +۳ مورد دیگر

Václav Potoček is a Lecturer in the Quantum dynamics, optics and information (Q³) group at the Department of Physics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague. His office is located in the Břehová building, room B509, and he can be reached at vaclav.potocek@fjfi.cvut.cz. Dr. Potoček's research focuses on quantum walks, quantum optics, and measurement and information in quantum mechanics. His work explores fundamental aspects of quantum dynamics with applications in quantum information processing. He has made significant contributions to understanding quantum walks, their symmetries, and their implementation in photonic systems. His recent publications reveal a consistent focus on quantum walk phenomena, quantum measurement theory, and optical implementations of quantum information protocols. The research shows progression from theoretical foundations to experimental realizations, particularly in photonic quantum walk implementations. Scientific recognition includes: Editor's Suggestion in Physical Review A (2017) Featured in Physics for Physical Review Letters (2015) J. Opt. Highlights of 2014 Dr. Potoček has supervised several students including Matyáš Staněk (Master's thesis 2020/21, Bachelor's thesis 2018/19), Elisabeth Andriantsarazo (Doctoral thesis 2020/21, Master's theses 2019/20, 2018/19), and Filip Němec (Master's thesis 2019/20, Research project 2018/19). His research involves collaboration with international groups from Germany, Hungary, Great Britain, Japan, and Greece. He is an active member of the Q³ research group which focuses on quantum dynamics, quantum information, and quantum optics, investigating quantum walks, open quantum systems, and quantum information processing algorithms.