Dr. Filip Strobin is an Associate Professor in the Division of Applications of Contemporary Mathematical Analysis at Lodz University of Technology. His research centers on theoretical aspects of fractal geometry and functional analysis. Key research themes include: Topological and geometric properties of fractal attractors Generalizations of iterated function systems (IFS) Embedding theorems for metric spaces Fixed point theory applications to fractals Lineability and spaceability in function spaces Recent work characterizes conditions for connected attractors in IFS, establishes embedding capabilities of fractals in various spaces, and develops algorithms for fractal visualization. His publications frequently appear in analysis and topology journals.
Vasile Glavan is a Professor at the Institute of Mathematics , part of the Faculty of Natural Sciences at the University of Siedlce. His research spans dynamical systems, fractal geometry, and nonlinear dynamics, with applications in geophysics and financial mathematics. Primary Affiliation: Institute of Mathematics, University of Siedlce Academic Rank: Professor Research Focus : Glavan's work explores attractors in weakly hyperbolic iterated function systems (IFS), shadowing theory, and fractal dimension analysis. His studies include modeling geomagnetic storms using fractal geometry and analyzing stability in discrete inclusions via Lyapunov functions. Publications : With 21 publications and a Scopus h-index of 3, Glavan's research highlights include fractal analysis of magnetic fields during geomagnetic storms and chaos game simulations applied to fractal generation. His recent work (2024) honors Boris Şcerbacov's contributions to dynamical systems. Technical Expertise : Utilizes computational tools like Mathematica for fractal modeling and applies mathematical frameworks to financial risk assessment, as seen in his 2010 paper on value-at-risk estimators.
Professor Ewaryst Rafajłowicz is affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, serving as Head of the Department of Control Systems and Mechatronics. His research spans control systems, pattern recognition, image processing, and spatio-temporal dynamics, with recent work focusing on iterative learning control, signal classification, and vibration analysis in industrial systems. Control systems System identification Pattern recognition Image processing Statistical process control Mechatronic control Recent publications highlight his expertise in functional data analysis, Bernstein polynomial applications, and shape-preserving descriptors for classification tasks. He has contributed to both theoretical advancements in control algorithms and practical implementations in industrial settings, particularly in vibration damping and mechatronic systems.
Dr. Magdalena Nockowska-Rosiak is a research and teaching assistant professor in the Department of Mathematical Modeling at Lodz University of Technology. With over 15 years of academic career, she has established herself as a prominent researcher in difference equations, integral operators, and mathematical modeling with economic applications. Her work appears in high-impact journals including Journal of Applied Analysis & Computation, Qualitative Theory of Dynamical Systems, and Applied Mathematics and Computation. Her research primarily focuses on: Theoretical analysis of difference equations (neutral, Volterra, Sturm-Liouville types) Discretization methods for integral operators (Fredholm, Hammerstein, Urysohn) Boundary value problems on discrete domains Mathematical modeling of economic phenomena, particularly demand-inventory systems Variational inequalities related to economic equilibrium Dr. Nockowska-Rosiak's publication trajectory shows progression from foundational work on difference equations toward specialized research on discretization methods while maintaining strong connections to economic applications. Her most recent publications (2023-2025) demonstrate continued innovation in numerical methods for integral operators. She has established productive collaborations with researchers including Christian Pötzsche, Janusz Migda, and Ewa Schmeidel. She has supervised PhD student Piotr Hachuła (2018 dissertation on nonlinear systems for microeconomic modeling) and co-authored the book "An analysis of dynamics of demand-inventory model with stock-level-dependent demand" (Lodz University of Technology Publishing House, 2018). Her research has practical applications in understanding stability of equilibrium points and bifurcation phenomena in demand-inventory systems with stock-level-dependent demand.
Jacek Bojarski is a Professor at the University of Zielona Góra's Institute of Mathematics, with office location in Room 503 A-29. His academic work bridges theoretical mathematics with practical applications across multiple scientific domains. Research Profile Professor Bojarski's research spans several interconnected mathematical disciplines: Theory of operators on locally convex and Banach spaces, including integral representations and spectral theory Nonlinear analysis focusing on iterative methods, fixed point problems, and Volterra-type integral equations Game theory applications to stochastic, multigenerational, and large-scale decision systems Graph theory with emphasis on coloring problems and combinatorial structures Nonlinear wave propagation including Korteweg-de Vries equation extensions Iterative Gaussian and Archimedes-Borchardt algorithms for mean determination His work demonstrates strong connections between abstract mathematical theory and real-world applications in sustainable energy, industrial processes, and scientific modeling. Teaching and Applications Professor Bojarski teaches statistical analyses, econometrics, modeling of random phenomena, and programming with R and Python. His research is conducted through the Center for Applications of Mathematics and Computer Science (OZMI), which promotes interdisciplinary collaboration on practical problems using advanced mathematical methods. This center develops optimization techniques for sustainable energy, healthy society initiatives, and industrial processes through specialized software modeling.
Witold Jarczyk is a Professor at the Faculty of Mathematics, University of Zielona Góra, Poland. His academic profile encompasses extensive research and teaching in theoretical and applied mathematics. His primary research interests include: Theory of averages and mean invariant maps Convexity and functional equations Iteration theory and recurring processes Nonlinear wave propagation including Korteweg-de Vries equation extensions Approximation theory using Fourier series Graph theory with focus on coloring problems Operator theory on locally convex spaces Applications of mathematics to real-world problems Professor Jarczyk's research demonstrates significant theoretical depth across multiple mathematical domains. His work on nonlinear wave propagation investigates analytical solutions and integral invariants of complex wave equations, while his research in approximation theory examines summability of Fourier series and convergence conditions. In graph theory, he explores distinguishable edge coloring and rainbow coloring of digraphs. Teaching activities span mathematical analysis, convex functions, discrete dynamic systems, measure and integral theory, real functions topology, functional analysis, and mathematics for technical and natural sciences students. He actively participates in interdisciplinary research through the Center for Applications of Mathematics and Computer Science (OZMI), which develops mathematical solutions for sustainable energy, healthcare, and industrial innovation challenges.
Silva Robak is a Professor at the Institute of Mathematics, University of Zielona Góra. Her research spans software engineering, economic informatics, and mathematical theories including fixed point theorems, game theory, and graph theory. She focuses on modeling data flows in e-business supply chains, nonlinear analysis, and approximation theory using Fourier series. Specialization in Lipschitz mappings and generalizations of Rademacher's theorem Expertise in stochastic, multigenerational, and large games in decision theory Contributions to preference models using graded and interval relations Work on iterative methods for fixed point problems in Hilbert spaces Teaching activities in management information systems and UML design Her research also addresses covariance parameter estimation in multivariate linear models and combinatorial geometry problems in graph coloring.
Paweł Wolański serves as an academic researcher and educator at the Institute of Mathematics, University of Zielona Góra, where he maintains office room 420 A-29. His position encompasses both research and teaching responsibilities within the mathematics department. Dr. Wolański's research spans multiple advanced mathematical domains including fixed point theory, operator theory on locally convex spaces, and combinatorial geometry. His work addresses both theoretical foundations and practical applications, particularly in cybersecurity through digital signature systems. His research profile includes investigation of iterative methods, stochastic equations, nonlinear wave propagation, and preference modeling using graded relations. Teaching activities include computer programming, multimedia in business applications, mobile application development, and Business Intelligence systems. His scientific activity specifically focuses on applying mathematical principles to cybersecurity challenges and group digital signature issues. The breadth of his research interests demonstrates significant contribution to both pure and applied mathematics fields.
