جست‌وجوی استاد و پژوهشگر

• Software Engineering
• Workflow Management Systems
• Image Analysis
• +۲ مورد دیگر

Michał Turek is a Professor at the Department of Applied Informatics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary workplace is located in room 303a of building C-2, and he maintains active contact through email (mitu@agh.edu.pl) and phone (+48 12 617 52 03), indicating current academic engagement. His research spans Software Engineering with particular emphasis on Workflow Management Systems integration with industrial applications, Image Analysis for 3D surface inspection, and Agile Methodologies implementation. Turek has pioneered innovations in Scrum adaptation for multi-project environments and software product lines, while developing formal verification frameworks for business processes and service-oriented architectures. His work bridges theoretical computer science with practical industrial solutions, especially in automated damage identification systems and workflow optimization. Analysis of his 15 most recent publications reveals consistent focus on workflow system intelligence (2020-2022), with significant contributions to automatic correction mechanisms and smart procedure integration. Earlier works (2010-2016) demonstrate deep expertise in formal verification methods, Scrum economics, and 3D surface analysis techniques. The publications show interdisciplinary convergence between software engineering, computer vision, and industrial automation, with recurring themes of system resilience and process optimization across both English and Polish scholarly outputs.

Bogumiła Hnatkowskaمشاهده پروفایل

استادیار

• Software Engineering
• Analysis and Design of Information Systems
• Software Development Methodologies
• +۳ مورد دیگر

Dr. Bogumiła Hnatkowska serves as Assistant Professor at the Institute of Informatics within the Faculty of Computer Science and Management at Wrocław University of Science and Technology. Her academic career spans software engineering research and education with emphasis on model-driven approaches and quality assurance methodologies. Her research interests include: Software Engineering Analysis and Design of Information Systems Software Development Methodologies Model-Based Software Development Domain-Specific Languages Software Quality Recent publications (2021-2025) reveal concentrated research in model-driven engineering, business rules processing, and ontology integration. Key trends involve textual specification languages for use-cases, automated test generation mechanisms, and formal transformations for ontologies – demonstrating consistent application of theoretical rigor to practical software development challenges across agile and model-based contexts. Scientific Awards: No scientific awards were mentioned in the provided text Dr. Hnatkowska has served as principal investigator for multiple State Committee for Scientific Research grants including UML extensions for multimedia systems (2000), real-time systems analysis (2005), and model-driven database design (2008). Her teaching portfolio includes Software Engineering, Software System Development, and Advanced Programming Techniques courses where she supervises team projects providing students with hands-on development experience. She actively participates in partner programs including Visual Paradigm's Academic Training Partner Program (providing UML/BPMN/agile tools) and IBM Academic Initiative, supporting her research in software engineering methodologies and educational tool development.

Jacek Jachymskiمشاهده پروفایل

استاد

• Fixed Point Theory
• Metric Spaces
• Functional Analysis
• +۳ مورد دیگر

Prof. Jacek Jachymski is a research and teaching professor at the Department of Applied Contemporary Mathematical Analysis, Lodz University of Technology. His work spans fixed point theory, metric spaces, and nonlinear analysis, with significant contributions to metrization theorems and topological properties of semimetric spaces. Focus on metric fixed point theory , including Banach contraction principle extensions and Cantor intersection theorems. Pioneering research in quasimetric and semimetric spaces, with applications to optimization and function theory. Collaborations with mathematicians like Filip Turoboś and Katarzyna Chrząszcz on Lipschitzian mappings and metric preservation. Recent publications (2024–2018) emphasize metric compactness , remetrization techniques, and fixed point stability. His work bridges abstract mathematics with practical applications in differential equations and iterative function systems. PhD students include Filip Turoboś, Katarzyna Chrząszcz, Jakub Klima, Filip Strobin, Gertruda Gwóźdź-Łukawska, and Izabela Jóźwik, all advancing fixed point theory in generalized metric structures.

Jerzy Myckaمشاهده پروفایل

دانشیار

• Theory of computability
• Mathematical logic
• Philosophy of mathematics
• +۶ مورد دیگر

Jerzy Mycka is an Associate Professor at the Faculty of Mathematics, Physics and Computer Science of Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. He is affiliated with the Department of Teaching Mathematics and Computer Science and serves as the Faculty Coordinator for the Erasmus+ Programme . His research spans the theory of computability , mathematical logic , philosophy of mathematics , and the history of mathematics . He also explores the social and cultural role of mathematics , bridging technical rigor with philosophical inquiry. His publications reflect a deep engagement with foundational questions in computation, including Church's thesis , real recursive functions , and analog computation . His work often intersects with philosophical implications of computational limits and the nature of mathematical knowledge. He is actively involved in academic service, offering regular student consultations and coordinating international academic exchange through Erasmus+. His teaching and mentoring are integral to the university’s academic community.

Grzegorz Graffمشاهده پروفایل

استاد

• Fixed and periodic point theory
• Topological methods in dynamical systems
• Mathematical methods in medicine
• +۲ مورد دیگر

Prof. Grzegorz Graff is a Full Professor at Gdańsk University of Technology, serving as Vice-Dean for Research at the Faculty of Technical Physics and Applied Mathematics and Head of the Department of Differential Equations and Applications of Mathematics. His academic career includes roles as Assistant (1991–1999), Assistant Professor (2000–2010), Associate Professor (2010–2019), and Full Professor since 2020. Research focuses on Fixed Point Theory, Dynamical Systems, and applications in cardiology. Key awards include the Silver Cross of Merit and multiple Rector Awards. Education: PhD (2010) and habilitation (2010) from Adam Mickiewicz University Leadership: Head of Division of Differential Equations, Chair of the Scientific Field Board of Exact Sciences, and editorial board member of Mathematica Applicanda and "BioPhysMath" . Research emphasizes mathematical methods in cardiology, entropy-based analysis of heart rate variability, and topological data analysis. Notable projects include the Center for Applications of Mathematics and studies on dynamical systems and Morse-Smale diffeomorphisms.

Jarosław Swaczynaمشاهده پروفایل

استادیار

• Functional Analysis
• Set Theory
• Fractal Geometry
• +۳ مورد دیگر

Jarosław Swaczyna is an Assistant Professor at the Division of Applications of Contemporary Mathematical Analysis , Lodz University of Technology. His research spans functional analysis, set theory, fractal geometry, and mathematical logic. Research Interests: His work focuses on the intersection of infinite-dimensional spaces, probabilistic combinatorics, and topological properties of Polish groups. He investigates generalized iterated function systems, density ideals, and continuity of functionals in Banach spaces. Publications Trends: Recent contributions include probabilistic models for random graphs, structural properties of Hamel bases, and topological dynamics of fractal attractors. Earlier works explore density ideals, Cantor sets, and generalized IFSs. Contact: Email: jaroslaw.swaczyna@p.lodz.pl Phone: (+48) 42 631-38-51 Room: 154

Jacek Młynarskiمشاهده پروفایل

استاد

• Asymmetric Catalysis
• Organic Synthesis
• Artificial Intelligence in Chemistry
• +۳ مورد دیگر

Professor Jacek Młynarski is affiliated with the Institute of Organic Chemistry, Polish Academy of Sciences . He leads a research group focused on asymmetric catalysis, bioactive compound synthesis, and AI-driven reaction discovery. Asymmetric catalysis with zinc/magnesium Lewis acids AI-guided catalyst optimization Stereoselective synthesis of pharmaceuticals/natural products Organocatalysis and redox chemistry His recent work bridges artificial intelligence with asymmetric catalysis, enabling systematic discovery of reaction pathways. He specializes in chiral zinc/magnesium catalysts, organocatalytic Michael additions, and computational reaction planning. His group includes Prof. Sławomir Jarosz , Prof. Zbigniew Pakulski , and PhD student Paulina Baczewska . He holds the OPUS NCN 2021/41/B/ST4/01617 grant titled "Artificial Intelligence meets Asymmetric Catalysis: a new pathway for catalyst optimization and discovery" .

Tomasz Szarekمشاهده پروفایل

استاد

• Dynamical Systems
• Probability Theory
• Mathematical Physics
• +۴ مورد دیگر

Prof. Tomasz Szarek is a faculty member at Gdańsk University of Technology, holding the rank of Professor in the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics. His office is located in Building B, Room 509. His research focuses on mathematical structures in dynamical systems and probability theory, with specialization in: Transformation groups (circle/interval homeomorphisms) Stochastic properties of Markov operators Invariant measures in random dynamical systems Limit theorems for random processes Quantum state geometry Publications (2017-2023) demonstrate consistent focus on theoretical aspects of dynamical systems and probability, with recent work emphasizing distortion phenomena in transformation groups, invariant measure characterization, and statistical limit theorems. Earlier research includes quantum information applications. He currently leads the OPUS-funded project: Groups of Manifold Transformations: dynamical and probabilistic point of view (active since 2023).

Robert Burdukمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Supervised Classification
• +۳ مورد دیگر

Prof. Robert Burduk is a full-time professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , specializing in artificial intelligence and machine learning. His research focuses on supervised classification, ensemble learning, and decision support systems with applications in photovoltaic energy forecasting, insect rearing monitoring, and software bug assignment. Key research areas: Artificial Intelligence, Machine Learning, Business Intelligence Department: Systems and Computer Networks Recent Publications (2024-2023): Burduk's work addresses classifier fusion, photovoltaic power optimization, and agricultural monitoring using advanced AI techniques like convolutional neural networks and domain shift detection. Notable themes include ensemble learning strategies, energy system modeling, and interdisciplinary applications.

Patrycja Jarosمشاهده پروفایل

پژوهشگر

• Nonlinear Dynamics
• Synchronization Phenomena
• Chimera States
• +۳ مورد دیگر

Patrycja Jaros is a researcher at the Faculty of Mechanical Engineering , Lodz University of Technology , specializing in nonlinear dynamics and synchronization phenomena in mechanical systems. Her work focuses on chimera states, solitary states, and multistability in coupled oscillators, with applications to power grids and complex networks. PhD in Mechanics (2017, Lodz University of Technology) MSc in Mathematical Modeling (2012, Lodz University of Technology) BSc in Applied Mathematics (2010, Lodz University of Technology) Research Trends : Her recent publications (2020-2023) explore higher-order interactions in Kuramoto models, asymmetry-induced desynchronization in power grids, and chimera states in directed networks. These studies bridge nonlinear dynamics , chaos theory , and network science , often using mechanical systems as experimental models. Scientific Awards : 2018 Prime Minister of Poland Award for best PhD thesis 2017 START scholarship (Foundation for Polish Science) Research Grants : She has led projects funded by the Foundation for Polish Science (2011-2014), National Science Center (2014-2016, 2017-2019), and Lodz University of Technology's Young Scientists Fund (2013-2015), focusing on coupled oscillator dynamics and synchronization mechanisms. Labs & Teams : Collaborates with interdisciplinary teams including Prof. Tomasz Kapitaniak, Prof. Yuri Maistrenko, and researchers from the European Physical Journal and Physical Review E communities.

Andrzej Okolewskiمشاهده پروفایل

دانشیار

• Financial Mathematics
• Actuarial Science
• Risk Management
• +۳ مورد دیگر

Dr. Andrzej Okolewski is an Associate Professor in the Division of Insurance and Capital Markets at Lodz University of Technology's Faculty of Technical Physics, Information Technology and Applied Mathematics. His research bridges pure mathematics and financial applications. Mathematical investigations focus on: Fractal geometry and iterated function systems Topological properties of function spaces Fixed point theorems and metric space theory Lineability and spaceability in functional analysis Applied work addresses mathematical foundations of insurance, risk assessment, and capital market modeling. Recent publications examine attractor topologies in generalized iterated function systems and structural properties of Orlicz spaces.

• Data Management
• Big Data Processing
• Distributed Systems
• +۷ مورد دیگر

Artur Wilczek, PhD, is a researcher in the Department of Applied Informatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work focuses on data engineering, distributed systems, and modern data management technologies. His research interests include Big Data Processing , Data Warehousing , Stream Processing , Map-Reduce , RESTful Services , and Flash Memory Storage . These areas reflect a strong engagement with scalable and efficient data systems, particularly in distributed and real-time environments. The analysis of his publications reveals a consistent focus on data-intensive systems, including performance evaluation of database technologies, agile and flexible data warehouse design (e.g., Data Vault), and implementation of stream-based monitoring solutions. His work bridges theoretical algorithm design and practical system deployment, especially in public sector and mobile computing contexts. While no formal awards are listed, his contributions to peer-reviewed journals and conference proceedings in computer science and information systems demonstrate active scholarly engagement. Artur Wilczek has collaborated with researchers such as Maciej Penar, Adrian Najczuk, and Karol Woźniak. Although no advisees are mentioned, his technical publications suggest a role in guiding or contributing to applied research projects. No specific grants or funding sources are referenced in the provided text. No associated laboratories, research teams, or centers are explicitly mentioned in the available information.

• Optimization
• Metaheuristic Methods
• Constrained Optimization
• +۳ مورد دیگر

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.

Anna Karczewskaمشاهده پروفایل

استاد

• Stochastic Differential Equations
• Nonlinear Wave Propagation
• Fixed Point Theory
• +۱۲ مورد دیگر

Anna Karczewska is a full-time Professor at the Institute of Mathematics , University of Zielona Góra, Poland. Her research and teaching activities span stochastic differential equations, nonlinear wave propagation, fixed point theory, and combinatorial geometry. Research Highlights : Focus on stochastic equations of Korteweg-de Vries type, multivalued stochastic inclusions, and iterative methods for fixed point problems. Applications in economics, social sciences, and biological systems. Teaching Areas : Mathematical analysis, mathematical statistics, and descriptive statistics. Her work also involves the theory of operators on locally convex spaces, approximation theory using Fourier series, and spectral theory. She contributes to projects like the EU-funded Widza Education Development Operational Programme (2014–2020), emphasizing modern teaching methods and academic-entrepreneur collaboration.

Filip Strobinمشاهده پروفایل

دانشیار

• Fractal Geometry
• Functional Analysis
• Iterated Function Systems
• +۳ مورد دیگر

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.