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Bartosz ReichelView profile

Assistant Professor

• Computational Electromagnetics
• Finite-Difference Time-Domain (FDTD) Method
• Nonlinear Optics
• +3 more

Dr. Bartosz Reichel is an Assistant Professor at the Institute of Physics and Applied Informatics, Gdańsk University of Technology, Poland. His research focuses on computational electromagnetics, particularly the Finite-Difference Time-Domain (FDTD) method and its discrete Green's function formulation. He has developed advanced numerical techniques for electromagnetic pulse propagation, antenna simulations, and hybrid FDTD implementations. Research Interests: Computational Electromagnetics Nonlinear Optics Wave Propagation Modeling Parallel Computing for FDTD Hybrid Numerical Methods Electromagnetic Pulse Dynamics Dr. Reichel's publications highlight his work on perfect hybridization of FDTD methods, time-domain Green's functions, and nonlinear systems in isotropic media. His research has been published in journals like IEEE Transactions on Antennas and Propagation and Theoretical and Mathematical Physics . Contact: Email: bartosz.reichel@pg.edu.pl Workplace: Institute of Physics and Applied Informatics, Gdańsk Tech

• Matroids
• Combinatorial algebraic geometry
• Commutative algebra
• +2 more

Michał Lasoń is a researcher in combinatorics and discrete mathematics affiliated with the Faculty of Mathematics and Computer Science at Jagiellonian University. His academic work focuses on matroid theory, combinatorial algebraic geometry, and discrete geometry, with significant contributions to coloring problems and algebraic combinatorics. His research interests include Matroids, Combinatorial algebraic geometry and commutative algebra, Extreme combinatorics, and Discrete geometry. Dr. Lasoń's work often bridges combinatorial structures with algebraic methods, particularly in the study of matroids and their applications to geometric problems. Dr. Lasoń's publication record shows a strong focus on matroid coloring problems, geometric combinatorics, and algebraic approaches to discrete structures. His work spans theoretical foundations to specific combinatorial problems, with publications in top journals including Advances in Mathematics, Proceedings of the American Mathematical Society, and European Journal of Combinatorics. His educational background includes dual PhDs - in Mathematics from the Institute of Mathematics of the Polish Academy of Sciences (2013) and in Computer Science from Jagiellonian University (2014), following an MSc in mathematics from Jagiellonian University in 2008. Dr. Lasoń held postdoctoral positions at Ecole Polytechnique Federale de Lausanne (2013-2014), Free University of Berlin (2014-2016), and University of Bern (2016-2017), establishing an international research profile in combinatorial mathematics.

• Optimization
• Metaheuristic Methods
• Constrained Optimization
• +3 more

Wojciech Rafajłowicz is a Professor in the Department of Control Systems and Mechatronics at Wrocław University of Science and Technology's Faculty of Information and Communication Technology. His research focuses on optimization techniques, optimal control, image processing, and embedded systems development. Academic Rank: Professor University: Wrocław University of Science and Technology His recent publications demonstrate a strong focus on developing advanced mathematical and machine learning techniques for signal classification, medical image analysis, and industrial process optimization. Key trends include the application of Bezier-Durrmeyer descriptors for curve classification, shape-preserving autoencoders for data reconstruction, and multi-objective optimization approaches in pandemic mitigation. Notable research contributions include: Medical imaging analysis methods for bleeding detection Adaptive thresholding techniques in industrial control systems Functional data representation using Bernstein polynomials Vibration analysis for structural health monitoring Current work emphasizes the intersection of control theory, machine learning, and practical applications in mechatronics and industrial safety.

Michał BełdzinskiView profile

Assistant Professor

• Nonlinear Analysis
• Variational Inequalities
• Global Invertibility Theory
• +3 more

Michał Bełdzinski is an Assistant Professor at the Department of Mathematical Modeling within Łódź University of Technology 's Faculty of Technical Physics . His research focuses on nonlinear analysis, variational inequalities, and boundary value problems, with applications in contact mechanics and dynamical systems. Recent publications highlight advancements in: Applications of M-matrices to nonlinear evolution systems (2025) Hemivariational inequalities for contact mechanics (2024) Global invertibility theory for boundary value problems (2023) Nash-type equilibria in non-potential systems (2023) Stability analysis of Dirichlet problems with ϕ-Laplacian (2021) He collaborates extensively with researchers like Marek Galewski, Witold Majdak, and Igor Kossowski. His work combines abstract principles with concrete applications in physics and engineering.

Sergiy YakovlevView profile

Research Professor

• Combinatorial Optimization
• Geometric Design
• Computational Geometry
• +5 more

Prof. Sergiy Yakovlev serves as a Research Professor in the Department of Mathematical Modeling at University of Lodz, with room 167 and contact number +48 426313617. His extensive academic contributions span combinatorial optimization, geometric design, and artificial intelligence applications. His research interests focus on Combinatorial Optimization, Geometric Design, Computational Geometry, and AI in Public Health, with significant work in spatial configuration modeling and packing/covering problems. Recent publications demonstrate strong interdisciplinary connections between mathematical theory and practical applications in epidemiology and sensor networks. Analysis of his 15 most recent publications reveals a clear trend toward applying computational geometry and optimization techniques to public health challenges, particularly in modeling epidemic dynamics during the Ukraine conflict and developing AI frameworks for health misinformation detection. His work bridges theoretical mathematics with real-world crisis response systems. While no specific scientific awards are documented in the provided text, his publications appear in high-impact journals including Symmetry (70 points), Environmental and Climate Technologies (100 points), and Cybernetics and Systems Analysis. Prof. Yakovlev actively collaborates on epidemic modeling projects related to the Ukraine conflict, including migration impacts on COVID-19 dynamics and respiratory infection modeling in Kharkiv region. His work involves multiple international research teams across Poland, Ukraine, and Switzerland. He contributes to critical monitoring systems through his research on sensor network reliability for environmental emergencies and forest fire monitoring, with particular attention to failure analysis in hybrid network architectures.

Przemysław GordinowiczView profile

Assistant Professor

• Graph Theory
• Combinatorics
• Discrete Mathematics
• +2 more

Dr. Przemysław Gordinowicz serves as an Assistant Professor at Lodz University of Technology within the Department of Applications of Contemporary Mathematical Analysis. Based in room 161 with contact details (+48) 42 631-36-33 and pgordin@p.lodz.pl, he maintains an active research profile in discrete mathematics. His research centers on Graph Theory and Combinatorics, specializing in graph coloring extendability problems for planar and outerplanar graphs, pursuit-evasion games (cops and robbers, localization games), and polynomial method applications. He also investigates random graph models, discrete Laplacian problems, and extremal graph theory, employing combinatorial and algebraic techniques to solve complex structural problems. Analysis of his 15 most recent publications (2015-2025) reveals consistent focus on three interconnected themes: (1) polynomial method applications to list coloring extendability, (2) theoretical advances in pursuit-evasion games across diverse graph classes, and (3) firefighter problem variants including surviving rate calculations. His work bridges theoretical combinatorics with algorithmic applications, frequently appearing in top-tier journals like Journal of Graph Theory and Electronic Journal of Combinatorics. He has supervised PhD student Paweł Twardowski, whose 2023 dissertation addressed graph polynomial applications to list coloring extendability in planar graphs. No information about research grants or collaborative teams is available in the provided materials.

Elżbieta SidorowiczView profile

Professor

• Graph Theory
• Combinatorial Geometry
• Game Theory
• +5 more

Dr. hab. Elżbieta Sidorowicz is a full-time Professor at the Department of Numerical Methods and Programming (NŚP) within the Institute of Mathematics at the University of Zielona Góra. Her academic career spans interdisciplinary research bridging mathematics, computer science, and economics. Research interests: Graph theory: edge colorings, rainbow colorings, dominating sets, iterative methods Combinatorial geometry: partitions of Euclidean space, packings Game theory: stochastic games, multigenerational conflicts, recursive utility Nonlinear analysis: fixed point theorems, Volterra equations Applications: sustainable energy, industrial optimization Teaching activities include linear algebra, discrete mathematics, Boolean methods in computer science, and matroid theory. Projects include EU-funded research (POWR.03.05.0-00-00-Z014/18) focused on modern teaching methodologies and practical collaboration with entrepreneurs.

Dariusz DereniowskiView profile

Professor

• Graph Algorithms
• Theoretical Computer Science
• Search and Evacuation in Graphs
• +2 more

Prof. Dariusz Dereniowski serves as a Professor in the Department of Algorithms and Systems Modelling at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His active research profile is evidenced by recent publications and ongoing projects, with contact maintained via darderen@pg.edu.pl and phone 583471956. His research centers on theoretical computer science, specializing in graph algorithms and computational complexity. Key areas include evacuation strategies in graphs, noisy binary search under error probability, energy-constrained exploration methods, and bicriteria tree-depth optimization. This work addresses fundamental challenges in algorithm design under constraints like congestion avoidance and query inaccuracies. Analysis of his 2023-2025 publications reveals a cohesive research trajectory focused on optimizing graph traversal under physical and informational constraints. These studies advance theoretical foundations while enabling applications in network routing, multi-agent coordination, and combinatorial optimization through novel algorithmic approaches. Prof. Dereniowski leads OPUS-funded projects including "Graph modeling of search processes" (2019-2022, UMO-2018/31/B/ST6/00820) and "Przeszukiwanie struktur grafowych" (2016-2019, UMO-2015/17/B/ST6/01887), demonstrating sustained grant acquisition within the Department of Algorithms and Systems Modelling. Though formal advisees aren't listed, his project management role indicates research team leadership.

Tomasz TalaśkaView profile

Associate Professor

• Machine Learning
• Optical Fiber Sensors
• Biomedical Sensing
• +3 more

Dr. Tomasz Talaśka serves as an Associate Professor at the Department of Decision Systems and Robotics within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges optical engineering, machine learning, and control systems to develop innovative solutions for biomedical diagnostics and real-time optimization challenges. Research Focus Machine learning-enhanced optical fiber sensors for biomedical applications (glucose/CRP detection in urine) Time-fractional electrodynamics modeling using control engineering methods Deterministic optimization algorithms for low-power real-time systems Hardware-implemented programmable controllers with AI tuning capabilities His interdisciplinary approach integrates electronics, informatics, and medical engineering to create practical diagnostic tools and efficient control systems. Publication Trends (2023-2025) Dr. Talaśka's recent work shows a clear trajectory from fundamental algorithm development toward medical applications. His 2023-2025 publications demonstrate increasing focus on translating machine learning and optical sensing research into clinical diagnostics, particularly for non-invasive monitoring of metabolic conditions. The consistent collaboration with biomedical researchers across multiple publications indicates strong cross-disciplinary engagement. Scientific Awards No scientific awards were mentioned in the available institutional records. Academic Contributions As an active researcher in the Department of Decision Systems and Robotics, Dr. Talaśka contributes to advancing real-time control systems and sensor technologies. His publications in high-impact journals like Scientific Reports and Communications in Nonlinear Science reflect significant scholarly contributions. While specific student supervision details aren't provided, his position as Associate Professor implies ongoing mentorship of graduate students in robotics and decision systems.

Mariusz UchrońskiView profile

Professor

• Discrete Optimization
• High-Performance Computing (HPC)
• Parallel Algorithms
• +3 more

Professor Mariusz Uchroński is affiliated with Wrocław University of Science and Technology (WUST) as a faculty member in the field of discrete optimization and high-performance computing. His research focuses on advanced computational methods including parallel and distributed algorithms, quantum computing, and task scheduling optimization. Research Interests: He specializes in developing efficient algorithms for complex computational problems, with applications in high-performance computing environments and emerging quantum computing paradigms. His work addresses optimization challenges in parallel/distributed systems and task scheduling methodologies. Contact Information: Email: mariusz.uchronski@pwr.edu.pl Phone: +48 71 320 2456 Office: Z. Janiszewskiego Street 11/17, Wrocław, building C-3, room 214 Consultations: Mondays 16:00-18:00

• Optical Engineering
• Holography
• Nanophotonics
• +4 more

Dr. Eng. Jan Bolek is an Assistant Professor at the Faculty of Physics, Warsaw University of Technology. His research focuses on optical engineering and holographic technologies. Specializes in holographic pattern recording Works with photomagnetic materials and liquid crystal composites Develops diffraction control techniques His work intersects Optics , Nanophotonics , and Signal Processing with applications in advanced imaging systems. Recent publications demonstrate expertise in spatial light modulator calibration and computational holography optimization. Key contributions include: Wavefront aberration correction techniques Diffraction order suppression methods Self-organized photonic structures

Michał BoczekView profile

Assistant Professor

• Aggregation Operators
• Fuzzy Integrals
• Mathematical Modelling
• +1 more

Michał Boczek is an Assistant Professor in the Institute of Mathematics at Lodz University of Technology's Faculty of Technical Physics, Information Technology and Applied Mathematics, affiliated with the Division of Insurance and Capital Markets. His research focuses on aggregation operators, fuzzy integrals, and mathematical modelling with applications in insurance mathematics. Analysis of 15 recent publications (2021-2025) reveals consistent themes in Choquet-Sugeno operators, monotonicity frameworks, interval-valued functions, and applications in bibliometrics. No awards, grants, or supervised students are documented.

• Liquid Crystal Physics
• Statistical Mechanics
• Monte Carlo Simulations
• +3 more

Dr. Andrzej Kapanowski is an Assistant Professor at Jagiellonian University's Faculty of Physics, Astronomy and Applied Computer Science. His research focuses on liquid crystal physics, statistical mechanics, and computational methods. He obtained his habilitation in physics (2012) and PhD (1997) from the same institution. He supervises doctoral and master's theses, with recent work exploring Python optimization and computational tools. Education: PhD in Physics, 1997 Habilitation, 2012 (Dissertation: "Statistical Theory of Elastic Constants of Biaxial Nematic Liquid Crystals") MSc in Physics, 1992 Research Interests: Liquid crystal phase behavior and modeling Monte Carlo simulations for complex systems Computational graph theory and Python libraries Software Contributions: Graph theory packages (GitHub: graphs-dict ) Planegeometry and permutation group libraries

• Algebra
• Computational Complexity
• Theoretical Computer Science
• +3 more

Prof. Pawel M. Idziak is a distinguished academic at the Faculty of Mathematics and Computer Science, Jagiellonian University, where he holds a Professorship in the Department of Algorithmics. His primary research focuses on algebra, computational complexity, and theoretical computer science, with notable contributions to the study of algebraic structures, satisfiability problems, and modular circuits. Idziak has led and contributed to numerous grants, including managing the 'Numerical and Structural Invariants in Algebra, Logic and Constraint Satisfaction Problems' (2015–2022) and co-ordinating initiatives like 'Programmers of the Future 4.0'. His work bridges abstract algebra with computational challenges, addressing topics such as group theory, circuit satisfiability, and algorithmic complexity. His research interests span a broad spectrum of theoretical computer science and algebra, including the interplay between algebraic structures and computational problems. Idziak has advised over 20 PhD students, mentoring them in areas such as algorithm design, logic in computer science, and discrete mathematics. He has also contributed to foundational works like Generative Complexity in Algebra (2005) and co-authored influential papers in journals like SIAM Journal on Computing and Transactions of the American Mathematical Society . Idziak’s academic leadership is evident through his roles in institutional committees and his active participation in international conferences. His recent work (2024) on equation satisfiability in solvable groups highlights his ongoing contributions to advancing computational algebra and complexity theory.

• Probabilistic Method
• Graph Coloring
• Analytical Combinatorics

Jakub Kozik is a Professor in the Department of Algorithmics at the Faculty of Mathematics and Computer Science, Jagiellonian University. His research focuses on probabilistic methods, graph coloring, and analytical combinatorics, with notable contributions to hypergraph coloring algorithms and combinatorial optimization. He has authored over 30 peer-reviewed articles and led multiple research grants, including the National Science Centre-funded projects on hypergraph coloring and online graph coloring algorithms. Position: Professor, Department of Algorithmics University: Jagiellonian University (Kraków, Poland) Key Research Areas: Graph Theory, Combinatorics, Probabilistic Methods His work bridges combinatorial mathematics and theoretical computer science, addressing problems in algorithm design, randomized algorithms, and structural graph theory. Recent research explores the Alon-Tarsi method, entropy compression techniques, and applications of probabilistic methods to hypergraphs. Grants include leadership roles in projects like 'Random Greedy Hypergraph Coloring Algorithms' (2024–2027) and 'Online Coloring from Lists' (2017–2021). These projects address fundamental challenges in combinatorial optimization and algorithmic efficiency. He collaborates with institutions globally and is part of the Algorithmics Research Group, contributing to the Foundations of Computer Science at his faculty.