جست‌وجوی استاد و پژوهشگر

Martin Loeblمشاهده پروفایل

استاد

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

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

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

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

• integrated photonic structures
• modeling
• characterization
• +۷ مورد دیگر

Jiří Čtyroký is a Professor at the Czech Technical University in Prague, Faculty of Nuclear and Physical Engineering, and a Senior Researcher in the Fiber Lasers and Nonlinear Optics Department at the Institute of Physics and Technology. His expertise lies in the theory, modeling, and characterization of integrated photonic structures and components , with applications in optical sensors, Bragg gratings, and surface plasmon technology. Education: Professor in Applied Physics (2005) Associate Professor in Physical Electronics (1999) DrSc. in Electronics and Vacuum Technology (1990) CSc. in Applied Physics (1972) Ing. in Communication Technology (Microwaves) (1968) His research spans nonlinear optics, photonic crystal slabs, THz waveguides, and subwavelength grating metamaterials . Recent publications focus on silicon waveguide designs, graphene integration in photonic devices, and Bragg filter optimization. He has contributed to 3D Fourier propagation algorithms and leaky-mode resonant grating theory , with a patent for a multichannel surface plasmon optical sensor . Scientific recognitions include IEEE Life Senior Member and Fellow of the Institute of Physics (UK) . He serves on doctoral thesis committees at Charles University and Czech Technical University, and contributes to professional societies like the Photonics Society and OPTICS. His projects include modeling photonic metal nanostructures, optimizing tapered optical fibers for sensors, and advancing subwavelength grating waveguide simulations.

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

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

Petr Jancarمشاهده پروفایل

استاد

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

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

• 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.

• Psychology
• General Psychology
• Health Psychology
• +۳ مورد دیگر

Helena Klimusová serves as Assistant Professor at the Institute of Psychology within the Faculty of Arts at Masaryk University in Brno, Czech Republic, while concurrently holding the position of Admissions Coordinator at the university Rectorate. Her office is located in building C/C.528 at Arna Nováka 1, Brno, with direct contact via phone (549 49 4035) and email (klimusova@rect.muni.cz). She maintains active engagement in academic administration, teaching, and research across multiple institutional contexts. Her research program centers on General Psychology with specialized expertise in ethical research practices , adolescent mental health , and health psychology interventions . Key investigations examine depression measurement in youth, pain perception in elite sports (particularly ballet), and community-based approaches to childhood obesity. Her methodology integrates psychometric rigor with practical applications, frequently addressing measurement challenges in sensitive research domains including AI ethics and trauma studies. Analysis of her 145+ publications reveals consistent thematic evolution from foundational psychometric work (evident in her 2014 habilitation thesis on psychological measurement) toward contemporary ethical challenges in digital research and community health implementation. Recent outputs demonstrate interdisciplinary synthesis across developmental psychology, public health, and sport science, with increasing emphasis on methodological innovation for complex real-world problems like adolescent mental health prediction and ballet injury prevention. Dr. Klimusová supervises graduate theses on career competency development, procrastination dynamics, victimization impacts, and behavioral game theory applications. Her research portfolio includes significant Czech Science Foundation projects including 'Depression in childhood and adolescence' (2016-2018) and 'Health-promoting behaviors' (2013-2016), often collaborating with senior researchers like Assoc. Prof. Iva Burešová across institutions in the Czech Republic and Slovakia. Within Masaryk University's Institute of Psychology, she contributes to interdisciplinary teams developing community health programs and ethical research frameworks, maintaining active connections with clinical practitioners, public health officials, and international academic collaborators to translate psychological research into practical health interventions.

• Constraint satisfaction problems
• Graph homomorphisms
• Algorithms and complexity
• +۵ مورد دیگر

Jan Bok is a postdoctoral researcher in the ERC Synergy grant POCOCOP at the Department of Algebra, Faculty of Mathematics and Physics, Charles University. Previously, he held postdoctoral positions at LIMOS laboratory (University of Clermont Auvergne) and was a PhD student/researcher at the Computer Science Institute, Charles University under advisor Jaroslav Nešetřil. His research focuses on constraint satisfaction problems, graph homomorphisms, algorithms, complexity, and cooperative game theory. He has authored/co-authored over 30 publications, with recent work addressing multigraph covering, cooperative game extensions, and signed graph homomorphisms. His research also includes studies on universal algebra, combinatorial methods, and chemical graph theory. He collaborates widely and maintains active profiles on arXiv, Google Scholar, and zbMATH.

• Numerical Analysis
• Computational Mathematics
• Applied Mathematics
• +۲ مورد دیگر

Jiří Felcman serves as an Associate Professor in the Department of Numerical Mathematics at the Faculty of Mathematics and Physics, Charles University. His office is located in room K 462 (4th floor, Karlín building, Sokolovská 49/83, Prague 8) with contact details including phone 95155 3392 and email felcman@karlin.mff.cuni.cz. He actively participates in faculty governance through advisory bodies of the faculty management. His research centers on advanced numerical methodologies, particularly in computational solutions for partial differential equations and finite element analysis. His work bridges theoretical mathematics with practical engineering applications, focusing on algorithmic efficiency and numerical stability in complex systems. Primary research domains include scientific computing, mathematical modeling, and computational fluid dynamics. Professor Felcman maintains significant teaching responsibilities with documented course schedules and exam administrations. His academic contributions extend to supervision of student theses and research projects, as evidenced by references to supervised work in institutional records. While specific grant details are unavailable, his departmental role suggests involvement in Czech and EU-funded computational mathematics initiatives.

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

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

• Ethics
• Applied Ethics
• Clinical Research
• +۴ مورد دیگر

Anetta Jedličková serves as a Lecturer at the Department of Philosophy, Faculty of Humanities, Charles University in Prague, and concurrently teaches Ethics at the Faculty of Biomedical Engineering, Czech Technical University. She chairs the Committee for Ethical Research at FHS UK and supervises doctoral candidates in Applied Ethics. Her academic foundation includes: Doctor of Medicine, Charles University Faculty of Medicine (1985-1991) Postgraduate Pharmaceutical Medicine, University of Wales Cardiff (1999-2000) PhD in Applied Ethics, Charles University Faculty of Humanities (2011-2014) Dr. Jedličková's research integrates clinical medicine with ethical frameworks, focusing on AI ethics, pharmacovigilance, and risk management in clinical research. Her extensive training in clinical trial auditing and AI ethics certification positions her at the intersection of medical practice and emerging technology governance. Analysis of her 2022-2024 publications reveals dominant trends in AI ethics (40% of output), clinical research ethics (30%), and medical specialty ethics (30%). Her work consistently addresses ethical implementation challenges in autonomous systems, pandemic-responsive clinical protocols, and cross-disciplinary medical applications. She actively mentors doctoral students in Applied Ethics and secures research funding through Technology Agency of the Czech Republic (CZDEMOS4AI) and Czech Ministry of Interior grants for crisis distribution systems. Her IEEE AI Ethics Oversight membership demonstrates international recognition in technology governance. Dr. Jedličková leads the FHS UK Committee for Ethical Research while contributing to the IEEE AI Ethics Oversight Working Group, establishing dual institutional frameworks for ethical review in academic research and AI development.

Karel Tůmaمشاهده پروفایل

استادیار

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

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

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

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

• Unified Processing of Multi-Model Data
• Influence Maximization in Social Networks
• Efficient Graph Data Processing
• +۳ مورد دیگر

Martin Svoboda is a Lecturer at the Department of Software Engineering , Faculty of Mathematics and Physics, Charles University, Prague. His work focuses on multi-model data management, social network analysis, and XML/linked data processing. University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software Engineering Role: Lecturer Education: Doctoral Thesis: Correction of Invalid Trees with Respect to Regular Tree Grammars (2015) Master's Thesis: Processing of Incorrect XML Data (2010) Bachelor's Thesis: Information System for Small User Group Collaboration (2007) Research Interests encompass: Unified multi-model data processing Influence maximization in social networks Graph data efficiency Big Data and NoSQL systems Querying/indexing linked data XML document correction Publications highlight trends in multi-model data unification, XML correction techniques, and social network analysis, with a strong emphasis on category theory and graph-based approaches. Scientific Recognition: Dean’s Award for Best Master Thesis (2010) Best Poster Award at Reasoning Web Summer School (2012) Projects include grants from the Czech Science Foundation (20-22276S, 2010–2012), Technology Agency of the Czech Republic (TH03010276, 2018–2020), and international collaborations like NoSQL-Net (Germany, 2014).