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• Algorithms on Discrete Structures
• Parameterized Algorithms
• Structural Graph Theory
• +4 more

Michał Pilipczuk is an Associate Professor at the Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics of the University of Warsaw. His research focuses on theoretical computer science, particularly algorithms on discrete structures, parameterized algorithms, structural graph theory, and logic in computer science. He leads the ERC-funded project "BOBR: Decomposition Method for Discrete Problems" and previously led a grant on optimality in parameterized complexity funded by the Polish National Science Center. His research interests include parameterized algorithms , structural graph theory , graph algorithms , and computational complexity . He has made significant contributions to the understanding of problems such as Independent Set in restricted graph classes, graph editing problems, and structural decompositions. The recent publications highlight a strong focus on structural graph theory and exact algorithms . Key themes include quasi-polynomial time algorithms for Independent Set in claw-free graphs, diameter computation in bounded genus graphs, and kernelization in trivially perfect graphs. His work often bridges combinatorial insights with algorithmic applications, particularly in the context of parameterized complexity. Principal Investigator, ERC Grant BOBR: Decomposition Method for Discrete Problems (2021–2026) Principal Investigator, Polish National Science Center Grant on Optimality in Parameterized Complexity (2014–2017) He has advised or collaborated with several researchers, including Marcin Wrochna and Marcin Pilipczuk. His work is published in top venues such as STOC, SODA, ESA, and ICALP.

Katarzyna Jesse-JózefczykView profile

Assistant Professor

• Graph Theory
• Computational Complexity
• Algorithm Design
• +9 more

Dr. Katarzyna Jesse-Józefczyk is an Assistant Professor at the Institute of Mathematics, University of Zielona Góra, Poland. She maintains an office in Room 509 A-29 and can be contacted at k.jesse-jozefczyk@im.uz.zgora.pl. Her academic profile combines teaching responsibilities with diverse research activities across theoretical and applied mathematics. Her primary research interests include: Graph Theory (graph coloring, computational complexity of graph algorithms, coalitions and safe sets in graphs) Stochastic Inclusions and Multivalued Stochastic Equations with applications in economics and biological sciences Multivariate Linear Models and Analysis Game Theory (stochastic, multigenerational, and large games) Approximation Theory using Fourier series Preference Models using graded and interval relations Dr. Jesse-Józefczyk's work bridges theoretical mathematics with practical applications in secure data transmission, e-business, and space communication. She actively participates in the Center for Applications of Mathematics and Computer Science (OZMI), contributing to interdisciplinary research projects focused on sustainable energy, healthy society initiatives, and innovative industrial technologies. Her teaching portfolio includes algorithms and data structures, computer programming courses (both introductory and advanced), object-oriented programming, and database systems curriculum.

• Signal Processing
• Electronics
• Biomedical Engineering
• +5 more

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

Andrzej NowakView profile

Professor

• Game theory
• Nash equilibria in non-zero-sum stochastic games
• Mathematical economics
• +19 more

Andrzej Nowak is a Professor at the Institute of Mathematics, University of Zielona Gora, specializing in game theory, mathematical economics, and applied mathematics with significant applications in economics and finance. His academic profile includes: Research on Nash equilibria in non-zero-sum stochastic games with constraints on player strategies Work on Recursive Utilities in Dynamic Economic Models and General Equilibrium Theory Investigations of Risk Measures in Dynamic Programming and Markovian Decision Processes Analysis of multivariate linear models and Inclusions and multivalued stochastic equations Studies of Preference models using graded and interval relations for decision support systems Professor Nowak teaches fundamental courses in game theory, mathematical economics, and mathematical foundations of economics in finance (including portfolio analysis, capital market lines, and time series). He also covers probability theory and stochastic processes with applications to economics and finance, particularly Markov chain theory and discrete-time martingales. His broader research encompasses: Approximation theory using Fourier series and summability methods Combinatorial geometry including partitions of n-dimensional space Mathematical means and their invariance properties Applications of computer science to secure data transmission and privacy standards

• Theoretical Computer Science
• Graph Algorithms
• Massive Graph Processing
• +4 more

Zihan Tan is an Assistant Professor at the Department of Computer Science and Engineering, University of Minnesota. Previously, he held a postdoctoral position at DIMACS and earned his PhD from the University of Chicago under the supervision of Prof. Julia Chuzhoy. Education: PhD in Computer Science, University of Chicago Previous Affiliation: Postdoc at DIMACS His research focuses on theoretical computer science and graph algorithms , particularly on developing modern algorithms for processing massive graphs. Key research aspects include: Exploring the limits of graph compression Studying graph problems in sublinear, dynamic, and distributed computational models Designing approximation algorithms through structural graph theory and algorithm interplay Zihan is actively seeking to hire 1-2 PhD students beginning Fall 2025.

• Queueing Theory
• Operations Research
• Stochastic Control
• +3 more

Łukasz Kruk is a University Professor and Head of the Department of Applied Mathematics at the Faculty of Mathematics, Physics and Computer Science, Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. His research primarily focuses on queueing theory, stochastic processes, and operations research with applications to resource allocation and scheduling algorithms. Dr. Kruk's research spans multiple areas within applied mathematics, with particular emphasis on: Queueing theory and performance analysis of scheduling algorithms Fluid and diffusion limits for queueing networks Resource sharing networks and stability analysis Stochastic control problems and optimization Real-time scheduling policies including EDF, SRPT, and LRTF His most recent publications reveal a strong focus on fluid models for queueing networks, stability analysis of various scheduling policies, and singular stochastic control problems. Dr. Kruk has published extensively on the mathematical properties of queueing systems, particularly examining minimality conditions, edge minimality, and instability phenomena in complex networks with resource sharing. Dr. Kruk has accumulated 35 publications with significant impact in his field, as evidenced by his h-index of 10 (Google Scholar), 7 (Web of Science), and 2 (Scopus). His work bridges theoretical mathematics with practical applications in computer systems, telecommunications, and operations management. As Head of the Department of Applied Mathematics, Dr. Kruk oversees academic activities and research initiatives while maintaining an active research program. His consultation hours are Tuesdays from 10-12, and he can be contacted via email at lukasz.kruk@mail.umcs.pl or by phone at (081) 537 6115.

• Constraint Satisfaction Problems
• Computational Complexity
• Universal Algebra
• +3 more

Michał Wrona is a Professor in the Department of Algorithmics at the Faculty of Mathematics and Computer Science, Jagiellonian University. His research focuses on constraint satisfaction problems (CSPs), computational complexity, universal algebra, and model theory, particularly concerning finite and omega-categorical structures. He holds a habilitation and has held postdoctoral positions at École Polytechnique (France) and Linköping University (Sweden). His current grant (2021–2026) investigates constraint satisfaction problems for infinite homogeneous structures. Education: M.Sc. in Computer Science (2004, University of Wrocław), Ph.D. in Mathematics (2009, University of Wrocław). Key Roles: Principal Investigator of the National Science Centre grant on infinite-domain CSPs. His work bridges theoretical computer science and mathematical logic, addressing foundational questions in algorithmic complexity and constraint satisfaction. Notable contributions include advances in quantified CSPs, tractability frontiers, and symmetries in infinite-domain structures. Research has been published in top venues like SIAM Journal on Computing, IEEE LICS, and ACM Transactions on Computational Logic. He actively contributes to the algorithmics research group and collaborates internationally on topics like universal algebra and computational complexity.

Leszek RutkowskiView profile

Professor

• Machine Learning
• Data Mining
• Neural Networks
• +3 more

Leszek Rutkowski is a Professor and Director of the Institute of Computational Intelligence at the Technical University of Czestochowa, Poland. He is also affiliated with the Systems Research Institute of the Polish Academy of Sciences and the AGH University of Science and Technology. His research focuses on machine learning, data mining, neural networks, fuzzy systems, and computational intelligence. He has authored over 200 publications, including influential books on neuro-fuzzy systems and computational intelligence. Rutkowski is an IEEE Fellow, a member of the Polish Academy of Sciences, and a recipient of the Doctor Honoris Causa from AGH University. Education: MSc in Technical Cybernetics (1977), Wrocław University of Science and Technology PhD in Technical Sciences (1980), Wrocław University of Science and Technology Habilitation (1986), Wrocław University of Science and Technology Research Interests: Rutkowski’s work spans data stream mining, neuro-fuzzy systems, adaptive neural networks, and pattern recognition. He has pioneered methods like probabilistic neural networks and contributed to IEEE Transactions publications. His research emphasizes real-time systems and ensemble learning techniques. Professional Activities: He founded the Polish Neural Network Society and organized international conferences on artificial intelligence. Rutkowski has served as editor-in-chief of the Journal of Artificial Intelligence and Soft Computing Research and is on the editorial boards of multiple journals. Awards: IEEE Fellow (2005) Member of the Polish Academy of Sciences (2004–2016) Doctor Honoris Causa, AGH University (2014) IEEE Transactions on Neural Networks 2005 Outstanding Paper Award Grants & Labs: His projects include foundational work on non-stationary environment modeling and collaborations with institutions like the Swiss Government and the National Science Centre. Rutkowski leads the Institute of Computational Intelligence, focusing on cutting-edge AI and soft computing techniques.

• Optimal periodic control
• Evolutionary algorithms
• Control theory
• +3 more

Marek Skowron is an academic researcher at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology, specializing in optimal periodic control and evolutionary algorithms. He is affiliated with the Department of Control Systems and Mechatronics. Research Interests: His work focuses on optimizing periodic control systems with inventory and energy constraints, applying evolutionary algorithms to find globally optimal solutions for complex industrial processes. Special emphasis is placed on stability analysis and multifrequency control approaches. Publication Trends: His research spans from 2004 to 2016, demonstrating consistent application of evolutionary computation to control system optimization, particularly in industrial and chemical engineering contexts. Key themes include constraint handling, cycle stability, and multiobjective optimization frameworks. Contact: Email: marek.skowron@pwr.edu.pl Office: C-3, room 217 Hours: Thursdays 19:00-21:00, Fridays 19:00-21:00

• Evolutionary Computation
• Global Optimization
• Artificial Intelligence
• +5 more

Professor Jarosław Arabas is a distinguished academic at Warsaw University of Technology's Faculty of Electronics and Information Technology, currently serving as Head of the Division of Artificial Intelligence (since 2024) and previously as Director of the Institute of Computer Science (2016-2024). His institutional leadership includes roles as Head of the Scientific Council for Information and Communications Technology and Head of the Faculty Council Committee on Research since 2009. His educational background includes M.Sc. (1993), PhD (1996), and D.Sc. (2006) degrees. Key research areas span Evolutionary Computation, Global Optimization, Artificial Intelligence, Neural Networks, Decision Making Under Uncertainty, Smart Grids, and Energy Markets. His work demonstrates strong interdisciplinary connections between computational methods and energy systems applications. Analysis of his 15 most recent publications reveals dominant trends in surrogate-assisted optimization, particularly for JADE and CMA-ES algorithms, with significant focus on step-size adaptation, matrix-free implementations, and performance benchmarking. His research consistently bridges theoretical algorithm development with practical applications in energy markets and smart grid systems, while maintaining strong contributions to evolutionary computation theory. Rector's Award in Science (2020) Rector's Award in Education (2021) Professor Arabas has supervised 50 promoted theses and led 15 research projects, demonstrating exceptional mentorship capacity. His leadership extends to directing the Institute of Computer Science and heading the Artificial Intelligence Division. Current research activities involve the Zespół Metaheurystycznych Metod Optymalizacji i Ich Zastosowań (Metaheuristic Optimization Methods and Their Applications Team), which he leads, alongside membership in the Koło Naukowe Sztucznej Inteligencji 'GOLEM' (Scientific Circle of Artificial Intelligence).

• Quantum Computing
• Hybrid Quantum-Classical Algorithms
• Workflow Scheduling
• +3 more

Katarzyna Rycerz is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. She holds the academic rank of Lecturer as part of the assistant professors group, with her office located at D-17, ul. Kawiory 21, room II, 3.54. Her research spans quantum computing, hybrid quantum-classical algorithms, and distributed systems, with significant contributions to workflow scheduling and complex network optimization. Dr. Rycerz's primary research focuses on quantum optimization techniques, particularly quantum annealing and variational algorithms applied to combinatorial problems. Her work bridges theoretical quantum computing with practical high-performance computing challenges, including load rebalancing in HPC systems and community detection in complex networks. She has developed software tools like QHyper for hybrid quantum-classical optimization and explored quantum solutions for thermoelectric properties in graphene and quantum game theory paradoxes. Her 15 most recent publications (2019-2025) reveal a dominant trend toward quantum-classical hybrid methods, with 80% focused on quantum annealing applications for workflow scheduling, network analysis, and optimization problems. Key themes include D-Wave system implementations, quantum game theory extensions, and thermoelectric material simulations, demonstrating a consistent shift from earlier multiscale simulation work toward cutting-edge quantum computing applications. No scientific awards are documented in the available information. Details regarding student advising, research grants, laboratory affiliations, or collaborative teams are not provided in the source materials.

Marcin MarkowskiView profile

Researcher

• Computer Network Design
• Computer Network Optimization
• IT System Security
• +7 more

Dr. Eng. Marcin Markowski is a researcher at the Department of Computer Systems and Networks, Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology. His work focuses on computer network design, optimization, and security, with an emphasis on cloud computing, elastic optical networks, and distributed systems. Faculty: Computer Science and Telecommunications Department: Computer Systems and Networks Email: marcin.markowski@pwr.edu.pl His research spans network optimization algorithms (ant colony, tabu search), industrial IoT applications, and security protocols. Articles demonstrate expertise in WAN-based resource allocation, SDN laboratory development, and sustainable logistics through WiFi-based monitoring systems. Key trends in his publications include heuristic methods for elastic optical networks, multi-criteria replica placement in wide area networks, and cloud computing efficiency analysis. He integrates algorithmic innovation with practical applications in industrial and telemedicine contexts. The Software Defined Networking Research Laboratory at WUST features prominently in his experimental work on network topologies and scenarios. No explicit information is available on teaching roles, awards, or grants.

• Combinatorics
• Graph Theory
• Discrete Mathematics
• +5 more

Piotr Micek is a Professor at the Department of Algorithmics, Faculty of Mathematics and Computer Science, Jagiellonian University. He holds a habilitated doctorate and focuses on combinatorics, graph theory, and discrete mathematics. His research spans graph coloring, probabilistic methods, approximation algorithms, and structural graph theory. He has led multiple grants including 'Order and Geometry' (2023–2027) and 'Structural Theory of Posets' (2020–2023). His work bridges theoretical foundations with algorithmic applications in combinatorial geometry and posets. Education: PhD in Mathematics (2008), Habilitation in Computer Science (2020). Research interests include poset dimension, graph algorithms, and combinatorial geometry. He collaborates internationally and has published over 70 papers in top journals/conferences like Journal of the ACM and Combinatorica . Grants include funding from the National Science Center (NCN) for projects on poset dimensions (2023–2027) and structural theory (2020–2023). Advised PhD student Michał Seweryn. His lab, the Algorithmics Research Group, explores foundational and applied aspects of discrete mathematics.

• Graph Theory
• Algorithms
• Discrete Geometry
• +3 more

Bartosz Walczak is a Professor in the Department of Algorithmics at the Faculty of Mathematics and Computer Science, Jagiellonian University in Kraków, Poland. His research focuses on Graph Theory, Algorithms, and Discrete Geometry, with a strong emphasis on structural and algorithmic aspects of graphs and their geometric representations. Education and Positions: MSc in Computer Science (2008), Jagiellonian University PhD in Computer Science (2012), Jagiellonian University Postdoctoral Fellowship (2013–2014), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland Visiting Assistant Professor (2014–2015), Georgia Institute of Technology, USA Habilitation in Computer Science (2017), Jagiellonian University Gastprofessor (2017–2018), Technische Universität Berlin, Germany Research Interests: Graph Coloring and χ-boundedness Geometric Intersection Graphs Combinatorial Geometry and Algorithms Graph Algorithms and Complexity Key Achievements: Recipient of the Best Paper Award at WG 2025 for work on Burling graphs Pioneering contributions to solving Ringel's circle problem Advances in separator theorems for planar hyperbolic graphs Labs/Teams: Active member of the Algorithmics Research Group, collaborating with international institutions such as EPFL, Georgia Tech, and TU Berlin.

• Algorithms
• Combinatorial Optimization
• Stochastic Optimization
• +7 more

Marek Adamczyk is an Assistant Professor in the Institute of Computer Science at the University of Wrocław. He earned his PhD in Computer Science from Sapienza University of Rome and held postdoctoral positions at Technical University of Munich, University of Bremen, and the University of Warsaw. His research is supported by a Polish National Science Centre (NCN) SONATA grant. His primary research interests lie in the design and analysis of algorithms under uncertainty, focusing on combinatorial and stochastic optimization, online algorithms, mechanism design, algorithmic game theory, and their intersections with machine learning. He explores theoretical foundations of optimization problems involving matroids, matchings, and submodular functions in uncertain environments. The 15 most recent publications reveal a consistent and impactful research trajectory in theoretical computer science, particularly in approximation algorithms for stochastic and submodular optimization. Key themes include stochastic probing, contention resolution schemes, and mechanism design, often yielding constant-factor or logarithmic approximations for NP-hard problems. His work frequently appears in top-tier venues such as FOCS, ICALP, ESA, STACS, and journals like Mathematics of Operations Research. First prize in the 44th Polish Mathematical Society's Contest for the best student paper in probability theory (for MSc thesis in Mathematics) Marek Adamczyk advises MSc and Engineering thesis students at the University of Wrocław and has a strong record of collaborative research, often working with prominent figures in the field. He is actively involved in organizing the Polish AI Olympiad for high school students and leads the development of the "Wrocław Beast" chess engine, which has achieved a 2200 ELO rating on Lichess. His work is funded by the Polish National Science Centre's SONATA grant on Combinatorial Optimization Under Uncertainty.