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Miroslav BulíčekView profile

Associate Professor

• Partial differential equations
• Continuum thermodynamics
• Mathematical modelling
• +3 more

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.

Karol KampfView profile

Professor

• Theoretical Particle Physics
• Scattering Amplitudes
• Effective Field Theories
• +5 more

Karol Kampf is a Professor at the Institute of Particle and Nuclear Physics within the Faculty of Mathematics and Physics at Charles University in Prague. His research bridges theoretical particle physics with experimental work at CERN, particularly through his leadership role in the NA62 experiment. He has held positions at prestigious institutions including Lund University, ETH Zurich, and CNRS in France before returning to Charles University. Ph.D. in Theoretical Particle Physics, Charles University (2004) Assistant Professor, Charles University (2005-2007) Chercheur associé at CNRS, IPN Orsay, France (2007) Post-doc at PSI ETH Villigen, Switzerland (2007-2009) Post-doc at Lund University, Sweden (2009-2011) Research Scientist, Charles University (2011-2016) Associate Professor (2016) Full Professor (2023) Kampf's research focuses on theoretical aspects of particle physics, particularly scattering amplitudes and effective field theories. His work spans from fundamental theoretical developments like soft theorems, classification of fundamental theories, and the soft bootstrap approach to phenomenological applications in Chiral Perturbation Theory, Resonance Chiral Theory, and Electroweak Theory. He has made significant contributions to the understanding of Goldstone bosons, pion physics, and string-inspired amplitude methods. His publication record shows a strong integration of theoretical developments with experimental applications, particularly through his involvement with the NA62 experiment at CERN. Recent work demonstrates a trend toward connecting abstract theoretical concepts like celestial amplitudes and double-copy relations with concrete experimental measurements in kaon physics. His research bridges the gap between high-energy theory and precision experimental physics, with applications to rare kaon decays and searches for physics beyond the Standard Model. Kampf serves as team leader for the NA62 experiment at CERN since 2012 and has chaired the doctoral study program in Particle and Nuclear Physics since 2018. He has organized numerous conferences including the Amplitudes 2022 Summer School, Amplitudes 2022, and Prague Spring Amplitudes 2023. His teaching includes courses on Electroweak Interactions, Modern Methods for Scattering Amplitudes, and Theory of Groups and Algebras in Particle Physics. At the Institute of Particle and Nuclear Physics, Kampf leads research efforts connecting theoretical amplitude methods with experimental kaon physics through the NA62 collaboration. His group works at the intersection of theoretical developments in scattering amplitudes and their application to precision measurements at CERN, creating a unique bridge between abstract theoretical physics and experimental particle physics.

• Boolean Functions
• Horn Formulas
• Computational Complexity
• +7 more

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.

• Speech Recognition
• Language Identification
• Speaker Recognition
• +3 more

Ing. Petr Schwarz, Ph.D. , is an Assistant Professor at the Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology. He specializes in speech recognition and biometric systems, with a focus on robustness in real-world conditions. Current roles: Assistant Professor, Researcher, Project Lead Key affiliations: Brno University of Technology (FIT), EU Horizon Europe, Czech Defense Research Program His research spans speech recognition , language identification , and multimodal datasets for security applications. Recent work includes AI-driven emergency call systems and tools to combat voice deepfakes. Notable projects include: Multilingual and Cross-cultural Dialogue Systems (EU Horizon Europe, 2024-2026) Voice Deepfake Detection (Czech Sectech Program, 2024-2026) His publications analyze Gaussian mixture models, i-vector migration, and phonetic search techniques. Trends emphasize robust algorithms for security-critical domains . Scientific accolades include the Silver Medal from BUT Rector (2006) and Brno FIT Bronze Medal (2022). He has contributed to open-source tools like Kaldi and developed systems for NIST evaluations.

Markéta PazderkováView profile

Researcher

• ROA spectroscopy
• Raman spectroscopy
• circular dichroism
• +6 more

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 OmelkaView profile

Associate Professor

• Asymptotic Statistics
• Nonparametric Statistics
• Copula Models
• +10 more

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.

Ondřej KalendaView profile

Professor

• Functional Analysis
• Topology
• Banach Space Theory
• +3 more

Prof. Ondřej Kalenda is a faculty member at the Department of Mathematical Analysis, Faculty of Mathematics and Physics, Charles University, Prague. His research focuses on functional analysis, topology, and Banach space theory, with significant contributions to Valdivia compacta, JB*-triples, and weak non-compactness measures. Education : DSc (Doctoral Thesis, 2011), Habilitation (2004), PhD (1997), all from Charles University. Research Interests : Functional analysis, topological properties of Banach spaces, operator algebras, measure theory, and descriptive topology. Publications : Over 40 research articles on topics like Valdivia compact spaces, projectional skeletons, JB*-triples, and quantitative versions of classical theorems (Schur, Dunford-Pettis). Academic Roles : Guarantor of the Mathematical Analysis master’s program since 2020/21; participant in seminars on Real and Abstract Analysis and Winter Schools. Contact : Email: Ondrej.Kalenda@mff.cuni.cz , kalenda@karlin.mff.cuni.cz Office: K 254 (3025), Karlín, Sokolovská 83, Prague 8

Martin KouteckýView profile

Associate Professor

• Parameterized Complexity
• Integer Programming
• Combinatorial Optimization
• +1 more

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.

Michal KulichView profile

Associate Professor

• Case-cohort studies
• Case-control studies
• Clinical trials
• +9 more

Michal Kulich is an Associate Professor at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague. He currently serves as Vice-Dean for Academic Affairs, demonstrating his leadership role within the faculty. His academic career spans over two decades with significant contributions to biostatistics and medical statistics. Dr. Kulich's educational background includes: Charles University, Prague, Czech Republic: M.S. in Statistics (1991) Limburgs Universitair Centrum, Diepenbeek, Belgium: M.S. in Biostatistics (1992) University of Washington, Seattle: M.S. in Biostatistics (1995) University of Washington, Seattle: Ph.D. in Biostatistics (1997) Dr. Kulich's research focuses on statistical methodology with particular emphasis on case-cohort and case-control study designs, clinical trials, and survival analysis. His work bridges theoretical statistics with practical applications in medical research, especially in occupational epidemiology, oncology, cardiology, pediatrics, and HIV/AIDS prevention. He has made significant contributions to the development of statistical methods for analyzing complex medical data, with numerous publications in top statistical and medical journals. His recent scholarly output shows a strong trend toward collaborative research at the intersection of statistics and clinical medicine, particularly in diabetes research, HIV/AIDS prevention, cystic fibrosis, and inflammatory bowel disease. Kulich's work consistently demonstrates methodological rigor while addressing real-world medical challenges through innovative statistical approaches. Among his notable recognitions: Bolzano Award for best paper in mathematics, Bernard Bolzano Foundation, Prague (2001) Best written paper, IBS-WNAR Student Paper Competition, Salt Lake City (1997) Donovan J. Thompson Award, Department of Biostatistics, University of Washington, Seattle (1995) Dr. Kulich has supervised 26 bachelor's theses (23 defended), 27 diploma theses (25 defended), and 2 dissertations (both defended). His collaborative research projects include significant work with the HIV Prevention Trial Network, Cystic Fibrosis Foundation Therapeutic Development Network, and European Cystic Fibrosis Society Clinical Trials Network. He has served as lead statistician for major studies including the HPTN-043 Project ACCEPT, a large-scale community-randomized trial of HIV Voluntary Counselling and Testing programs in Subsaharan Africa and Southeast Asia. He is actively involved in multiple research teams focusing on medical statistics applications, particularly in the areas of cystic fibrosis, diabetes, HIV/AIDS, and cancer epidemiology. His work with the Collaborative Health Studies Coordinating Center and the European Cystic Fibrosis Society demonstrates his commitment to translating statistical methodology into practical healthcare solutions.

• Probability Theory
• Stochastic Processes
• Optimization Theory
• +4 more

Petr Lachout is an Associate Professor at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University. His teaching and research focus on advanced mathematical topics including stochastic processes, optimization theory, and invariance principles in probability. He has led lectures on subjects such as Random Processes I , Optimization Theory , and Principles of Invariance , with syllabi covering convex sets, duality in linear programming, weak convergence of probability measures, and Skorokhod spaces. Contact: Petr.Lachout@mff.cuni.cz . Office located in Karlín building, Sokolovská 49/83, Prague 8.

• Adaptive Software Architectures
• Smart Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• +5 more

Tomáš Bureš is a Professor at the Department of Distributed and Dependable Systems , Faculty of Mathematics and Physics , Charles University . His work focuses on adaptive software architectures for smart cyber-physical systems (CPS) and IoT, leveraging machine learning (neural networks) for self-adaptation, edge-cloud systems, and model-driven development. Research Groups: Leader of the SmartArch research group. Projects: Involved in ExtremeXP , ESTABLISH , AFarCloud , FitOptiVis , Trust 4.0 , ASCENS , RELATE ITN , Q-ImPrESS . Publications span topics like performance regression testing, ML workflow optimization, confidentiality analysis under uncertainty, and edge-cloud continuum modeling. Key subfields include self-adaptive architectures, adaptation rules, component ensembles, and statistical methods in software engineering. His work bridges theoretical models (e.g., DEECo, SOFA) with practical tools (e.g., ExpEngine, Robin) for CPS and cloud applications. Co-Authors include P. Hnětynka, M. Abdullah, R. Heinrich, and others. Publications appear in venues like IEEE Transactions on Autonomic Computing , ACM/SPEC ICPE , and ECSA Workshops .

Martin LoeblView profile

Professor

• Discrete Mathematics
• Graph Theory
• Combinatorial Optimization
• +10 more

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.

Petr JancarView profile

Professor

• Theoretical Computer Science
• Language and Automata Theory
• Computability and Complexity Theory
• +4 more

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.

• Applied Mathematics
• Fuzzy Modelling
• Soft Computing
• +2 more

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

• Icy Moons
• Planetary Geophysics
• Tidal Heating
• +3 more

Marie Běhounková serves as Associate Professor at Charles University's Faculty of Mathematics and Physics, Department of Geophysics since October 2022, following a 12-year tenure as researcher at the same institution. Her academic career includes a postdoctoral fellowship at France's Laboratoire de Planétologie et Géodynamique (2008-2009) and extensive research on planetary geodynamics. Her educational background features a Ph.D. in Geophysics from Charles University (2004-2007) with thesis Global and regional scale modeling of dynamic processes in the Earth’s mantle under Hana Čížková's supervision, preceded by MSc. studies at the same faculty. Dr. Běhounková's research centers on icy moon dynamics , specializing in tidal heating mechanisms and numerical modeling of planetary interiors . Her work investigates thermomechanical processes in ocean worlds like Enceladus and Europa, exoplanet evolution, and ice shell deformation. She employs advanced computational methods to analyze tidal dissipation, plume activity, and seafloor processes, with significant contributions to understanding habitability conditions in extraterrestrial environments. Analysis of her 2019-2025 publications reveals consistent focus on Saturn's moon Enceladus and Jupiter's Europa, particularly examining how tidal forces drive geological activity through ice shell fracturing, heat production, and ocean dynamics. Her research increasingly integrates multi-instrument approaches for ocean world exploration while maintaining strong emphasis on exoplanet geodynamics and tidal evolution modeling. She actively secures competitive research funding through multiple Czech Science Foundation grants and Czech-French Barrande program collaborations, demonstrating sustained leadership in planetary science research initiatives. Dr. Běhounková maintains active international collaborations with researchers across Europe and contributes to scientific outreach through popular science publications on planetary geophysics in Czech academic journals.