جست‌وجوی استاد و پژوهشگر

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.

• Mathematical programming
• Stochastic optimization
• Integer optimization
• +۳ مورد دیگر

Martin Branda is an Associate Professor at Charles University's Faculty of Mathematics and Physics, Department of Probability and Mathematical Statistics. He serves as Guarantor of the Master's Program in Financial and Actuarial Mathematics and maintains an active research and teaching profile. Workplace: Department of Probability and Mathematical Statistics Room: K 157 (2030a), 1st floor, Karlín, Sokolovská 49/83, Prague 8 Contact: Phone 95155 3404, Email Martin.Branda@mff.cuni.cz Homepage: https://www2.karlin.mff.cuni.cz/~branda/ Dr. Branda's research focuses on mathematical programming, stochastic optimization, and their applications in financial risk management and actuarial mathematics. His work bridges theoretical optimization methods with practical insurance applications. His recent publications demonstrate expertise in operational research applied to insurance markets, with particular emphasis on risk modeling and calculation methodologies. The research shows strong connections between mathematical optimization techniques and practical insurance applications. Dr. Branda actively supervises student research, with numerous bachelor's and master's theses completed under his guidance. His teaching portfolio includes core optimization courses and specialized finance/insurance applications. He has led multiple research projects funded by the Fund for the Support of Education in the Insurance Industry, particularly in non-life insurance rate calculation (2014/2015), generalized linear models in insurance (2012/2013), and modeling annuities in compulsory insurance (2010/2011).

Jakub Novákمشاهده پروفایل

پژوهشگر

• Modeling of nonlinear systems
• Embedded systems
• Predictive control
• +۴ مورد دیگر

Jakub Novák is a Researcher at the Faculty of Applied Informatics , Tomas Bata University in Zlín , with a focus on modeling and control of nonlinear systems, embedded systems, and predictive control. He works at the Regional Research Center CEBIA-Tech and previously at the Research Center for Applied Cybernetics. Education : Ph.D. in Applied Informatics (2007) and Master's degree in Technology (2002) from Tomas Bata University/Brno University of Technology International experience at Politecnico di Milano (2003) and Strathclyde University (2004) Research interests center on nonlinear system modeling , predictive control algorithms , and embedded control system implementation . His work includes applications in magnetic levitation, coupled drives, and chemical thermal processes. He has developed Simulink models for educational purposes and contributed to tools like LM Toolbox for local model networks. Publication trends show a strong emphasis on predictive control (14+ papers) and nonlinear system modeling across various platforms including magnetic levitation plants and twin rotor MIMO systems. He has contributed to real-time control solutions and mixed-integer programming implementations. Advising includes supervising 5 master's theses and 7 bachelor's theses since 2006. Collaborations with Petr Chalupa (55+ co-authored works) and Vladimír Bobál (33 co-authored works) indicate long-term research partnerships.

Jiří Finkمشاهده پروفایل

استادیار

• Artificial Intelligence
• Combinatorics
• Graph Theory
• +۳ مورد دیگر

Jiří Fink serves as an Assistant Professor in the Department of Theoretical Computer Science and Mathematical Logic at the Faculty of Mathematics and Physics, Charles University, Prague. His academic profile centers on theoretical computer science with applications in artificial intelligence and combinatorial mathematics. His primary research areas include: Artificial Intelligence Combinatorics Graph Theory Optimization Theoretical Computer Science Mathematical Logic Dr. Fink teaches courses such as Large Scale Optimization (covering exact methods for linear/integer programming and Lagrange relaxation), Data Structures, and Introduction to Artificial Intelligence. He supervises bachelor's and master's theses in AI and mathematical topics, and is a principal organizer of the annual Spring School of Artificial Intelligence held in Patejdlovka since 2022, which combines student research presentations with recreational activities like hiking and skiing. No scientific awards are mentioned in the provided information. Regarding advising, Dr. Fink actively supervises theses in combinatorial mathematics and AI applications. The text contains no details about research grants or funding sources. His professional activities emphasize educational leadership through course development and community-building academic events. He maintains an active departmental presence with office location at Malá Strana, floor 3, room 305 (Malostranské náměstí 2/25, Prague 1) and can be contacted via email fink@ktiml.mff.cuni.cz.

• enumerative combinatorics
• extremal combinatorics
• number theory
• +۳ مورد دیگر

Martin Klazar is an Associate Professor at the Department of Applied Mathematics, Faculty of Mathematics and Physics, Charles University. He has been affiliated with the university since 1995, initially as an assistant professor before becoming an associate professor in 2004. Since 2000, he has also worked at the Institute for Theoretical Computer Science (ITI). His education includes a Ph.D. (1995) under Jiří Nesetril at Charles University, following undergraduate studies at the same institution (1984–1989). Klazar's research spans multiple areas of discrete mathematics, with primary interests in enumerative and extremal combinatorics, number theory, power series, generating functions, and elementary mathematical analysis. His work frequently bridges combinatorial methods with analytic techniques, particularly in asymptotic enumeration and extremal problems. His publications demonstrate a strong focus on combinatorial structures (permutations, set partitions, matchings), graph theory algorithms, and combinatorial number theory. Recent trends include applications of combinatorial duality, growth rate classification of discrete structures, and interdisciplinary topics linking physics-inspired models (e.g., Potts model) with graph invariants. Honors include the Alexander von Humboldt Stiftung fellowship (1997/98) and a prize from the Rector of Charles University for co-editing the book Topics in Discrete Mathematics . He has supervised Ph.D. students including Vít Jelínek and Jaroslav Hančl. Klazar contributes to the ITI research group, focusing on theoretical computer science and combinatorial mathematics. His current teaching includes courses in mathematical analysis, combinatorial counting, and number theory.