جستجوی استاد راهنمای دانشگاهی

• Algorithms on Discrete Structures
• Parameterized Algorithms
• Structural Graph Theory
• +۴ مورد دیگر

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.

Ngoc Thanh Nguyenمشاهده پروفایل

استاد

• Computational Collective Intelligence
• Knowledge Integration
• Data Mining
• +۶ مورد دیگر

Ngoc Thanh Nguyen is a Full Professor at Wroclaw University of Science and Technology where he serves as Head of the Department of Applied Informatics. He holds the prestigious title of Professor granted by the President of Poland and has been recognized as a Distinguished Scientist of ACM since 2009. He serves as Editor-in-Chief of both the Journal of Information and Telecommunication (JIT) and the Vietnam Journal of Computer Science (VJCS), and chairs the IEEE SMC Technical Committee on Computational Collective Intelligence. His research spans computational collective intelligence, knowledge integration, data mining, social media analysis, and sentiment analysis. Professor Nguyen has pioneered significant methodologies in spatial data clustering within network space, inter-sequence pattern mining, and graph neural network applications. His work bridges theoretical computer science with practical applications in intelligent information systems, demonstrating particular expertise in handling complex spatial and sequential data structures. His research has evolved from foundational pattern mining techniques to sophisticated neural network approaches for geospatial and social data analysis. The analysis of his recent publications reveals a strong focus on spatial data analysis in network environments, with significant contributions to clustering algorithms, graph neural networks, and pattern mining. His work consistently addresses efficiency challenges in data processing while expanding into emerging areas like Vietnamese language processing and topological data analysis. The research demonstrates a clear trajectory from traditional data mining techniques toward more sophisticated AI-driven approaches that incorporate spatial relationships and network topologies. Distinguished Scientist of ACM (2009) ACM Distinguished Speaker (2009-2013) IEEE Distinguished Visitor (2009-2013) Title of Professor granted by the President of Poland Professor Nguyen has supervised over 20 PhD students to completion and currently mentors several ongoing doctoral candidates. His academic leadership extends to founding two major conference series: the Asian Conference on Intelligent Information and Database Systems (ACIIDS) and the International Conference on Computational Collective Intelligence (ICCCI), which have become significant venues in their respective fields. His collaborative network spans multiple institutions, particularly with Yeungnam University as evidenced by several co-supervised PhD projects. As founder and chair of the IEEE SMC Technical Committee on Computational Collective Intelligence, he leads an international community of researchers advancing this specialized field. His departmental leadership at Wroclaw University of Science and Technology positions him at the center of applied informatics research and education in Poland, with particular emphasis on computational intelligence applications.

Katarzyna Jesse-Józefczykمشاهده پروفایل

استادیار

• Graph Theory
• Computational Complexity
• Algorithm Design
• +۹ مورد دیگر

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.

Paweł Pilarczykمشاهده پروفایل

دانشیار

• dynamical systems
• computational topology
• rigorous numerics
• +۲ مورد دیگر

Paweł Pilarczyk is an Associate Professor at the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology, where he has been employed since 2018. His research spans multiple mathematical disciplines with applications across various scientific fields. Dr. Pilarczyk's research interests include dynamical systems , computational topology , rigorous numerics , and applications of advanced computational techniques . His work bridges theoretical mathematics with practical applications in neuroscience, cardiology, ecology, and epidemiology. Analyzing his publication record from 2025 back to 2007 reveals a consistent focus on rigorous mathematical approaches to understanding complex systems. His recent work shows increasing interdisciplinary applications, particularly in medical diagnostics (sleep apnea detection, heart rate variability analysis) and neuroscience (neuron modeling), while maintaining strong foundations in pure dynamical systems theory. As project manager for the OPUS-funded "Topological and numerical methods in dynamical systems" (since 2022), he leads significant research initiatives at the Department of Differential Equations and Mathematical Applications. Dr. Pilarczyk maintains an active research program with collaborators across multiple institutions, evidenced by his extensive publication record and research data sets available through Gdańsk Tech's Bridge of Knowledge platform.

Jacek Banasiakمشاهده پروفایل

استاد

• Mathematical Modeling
• Population Dynamics
• Fragmentation-Coagulation Processes
• +۵ مورد دیگر

Professor Jacek Banasiak holds a prestigious DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria, Department of Mathematics and Applied Mathematics. He also maintains strong academic ties with Lodz University of Technology in Poland where he serves as a research professor in the Department of Mathematical Modeling. His career spans several decades with extensive contributions to mathematical modeling, particularly in population dynamics, fragmentation-coagulation processes, and epidemiological modeling. Professor Banasiak's research interests center on mathematical modeling of biological and physical processes, with particular expertise in singular perturbation theory, semigroup theory, and transport equations on networks. His work bridges theoretical mathematics with practical applications in epidemiology, ecology, and population biology. He has developed sophisticated mathematical frameworks for understanding fragmentation-coagulation phenomena, malaria transmission dynamics, and savanna ecosystem modeling. His publication record shows a consistent trajectory of high-impact research, with recent work focusing on climate-based malaria models, multiscale epidemiological systems, and mathematical analysis of growth-fragmentation equations. His publications appear in top-tier journals across mathematical analysis, epidemiology, and mathematical biology fields, demonstrating the interdisciplinary nature of his work. DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering Author of numerous influential publications spanning from 1984 to 2025 Editor of special issues and author of several books including 'Introduction to Mathematical Methods in Population Theory' (2025) Professor Banasiak has supervised over 15 PhD students, many of whom have gone on to successful academic careers. His mentoring spans topics including fragmentation-coagulation with transport effects, telegraph systems on networks, and mathematical modeling of malaria transmission. His research has attracted significant funding, particularly through his SARChI Chair position which supports advanced mathematical research in biosciences and bioengineering.

Igor Wojnickiمشاهده پروفایل

استاد

• Smart City Systems
• Graph-Based Computational Methods
• Energy-Efficient Lighting Control
• +۴ مورد دیگر

Igor Wojnicki is a Professor at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, where he serves as Vice-Dean of the Faculty of Cooperation and Education. His primary affiliation is with the Department of Applied Informatics, where he maintains an active research laboratory focused on knowledge engineering and smart systems. His research spans multiple domains with evolving focus: Early career: Deductive databases and rule-based inference engines (PhD thesis on "A Rule-based Inference Engine Extending Knowledge Processing Capabilities of Relational Database Management Systems") Mid-career: Graph-based knowledge representation and Tabular Trees (XTT predecessor) Current focus: Smart city applications, particularly energy-efficient lighting control systems and graph-based urban data integration His recent publications demonstrate a clear trajectory toward applied urban computing, with over 15 significant papers in the last five years addressing smart city infrastructure optimization. Key themes include dynamic street lighting control, graph-based computational methods for urban environments, and energy conservation in public infrastructure. Wojnicki actively contributes to academic-practical collaboration through initiatives like the Green AGH Campus Project and IBM academic partnerships. His technical leadership includes development of the ReDaReS system for relational database knowledge processing and the Jelly View technology for advanced database queries. His laboratory maintains strong industry connections, particularly with IBM through student internship programs and technology transfer initiatives. The team produces both theoretical frameworks and practical implementations, with notable outputs including the Osiris GUI system and Magellan GPS software for Poland.

• Theoretical Computer Science
• Graph Algorithms
• Massive Graph Processing
• +۴ مورد دیگر

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.

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

• Constraint Satisfaction Problems
• Computational Complexity
• Universal Algebra
• +۳ مورد دیگر

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.

• Social Network Analysis
• Complex Systems
• Statistical Physics
• +۳ مورد دیگر

Janusz Hołyst is a Professor at the Center of Physics in Economics and Social Sciences, Faculty of Physics, Warsaw University of Technology. His research focuses on complex systems, social network analysis, and computational models of collective behavior. He leads the research team Zespół Fizyki w Ekonomii i Naukach Społecznych . Key areas include structural balance dynamics, opinion formation, and interdisciplinary applications of statistical physics. Recent work explores polarization, misinformation, and emotional dynamics in online communities. Over 200 publications span topics from multiplex networks to source localization in complex systems. Education: Not explicitly listed but inferred through academic career. Research interests emphasize bridging physics and social sciences, with contributions to models of group behavior, network hierarchies, and computational sociology. His work highlights critical phenomena in social systems and applications of agent-based simulations. Collaborations include studies on collective emotions, cyberemotions, and the impact of digital media on societal dynamics. Articles often analyze network structures, phase transitions in social models, and methodological advancements in source localization. His team’s projects address real-world challenges like misinformation spread and systemic risk in supply chains. Recipient of grants for supercomputing simulations of social systems and computational science initiatives. Advised numerous theses (names not listed here) focusing on interdisciplinary applications of physics.

• Mutation Testing
• Model Validation
• Software Engineering
• +۹ مورد دیگر

Dr. Eng. Joanna Strug is a lecturer at the Department of Automation and Computer Science within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. Her research focuses on software testing methodologies, machine learning applications in test automation, and database technologies. Specialization in mutation testing and fault injection Expertise in UML/OC validation and business process testing Active researcher in relational and non-relational database modeling Recent research trends indicate a focus on database technology performance analysis, including: Comparative benchmarking of relational vs. NoSQL databases Cost optimization in mutation testing using machine learning Structural similarity applications for test classification Validation frameworks for service-oriented architectures Model-based testing of business processes Bytecode-level mutant classification Her work appears in prominent venues including: Information Systems Architecture and Technology Artificial Intelligence and Soft Computing Journal of Engineering International Conference on Software Engineering (ENASE)

• Computational Chemistry
• Structural Biology
• Biophysics
• +۳ مورد دیگر

Tamar Schlick is a Professor at New York University, affiliated with the Courant Institute of Mathematical Sciences and the Department of Chemistry. She holds roles as an Associate (Lead) Editor for the International Journal for Multiscale Computational Engineering and has contributed to numerous journals. Education: B.S. in Mathematics, Wayne State University (1982) M.S. and Ph.D. in Applied Mathematics, Courant Institute of Mathematical Sciences, NYU (1984 and 1987) Research Interests: Tamar Schlick focuses on biomolecular modeling, chromatin dynamics, RNA structure prediction, and computational methods for understanding biological systems. Her work integrates computational simulations with experimental data to study complex systems like DNA repair mechanisms, histone interactions, and RNA folding pathways. Her research bridges disciplines such as biophysics, biochemistry, and applied mathematics. Articles Trends: Her recent publications emphasize multiscale modeling in chromatin organization, RNA structural prediction using graph theory, and energy landscapes in biomolecular interactions. These studies highlight advancements in computational tools and their applications in understanding fundamental biological processes. Awards: Over 20 awards, including the John Simon Guggenheim Fellowship (2000-2001), American Physical Society Fellow (2005), and Aspen Health Forum Fellow (2007). Recognitions for contributions to computational chemistry, RNA science, and biomolecular modeling. Advising & Grants: While specific student advisees are not listed, her research groups collaborate on projects funded by NIH, NSF, and other agencies. She leads teams advancing computational frameworks like RAGTOP and CHSalign for RNA structure analysis. Labs/Teams: Active in NYU’s Courant Institute and NYU-ECNU Center for Computational Chemistry, focusing on interdisciplinary research in computational biophysics and molecular modeling.

• Computer Graphics
• Network Programming
• 3D Modeling
• +۴ مورد دیگر

Dr. Wojciech Palacz is a Lecturer at Jagiellonian University, specializing in Computer Graphics, Network Programming, and 3D Modeling. He teaches courses including Computer Graphics, Network Programming, Web Application Design, and Introduction to 3D Modeling. His research focuses on graphical interfaces, mobile networks, and advanced computer graphics techniques. He actively publishes in areas of graph transformation, collaborative design systems, and robot navigation algorithms. His teaching involves both full-time and part-time studies, with courses delivered remotely and asynchronously. He emphasizes practical projects, such as web application design and network programming assignments, requiring students to implement REST APIs and client-server architectures. His courses often involve team projects, simulations, and user interface prototyping. Palacz's recent work includes studies on indoor robot navigation using BIM/IFC models and the application of hierarchical graph systems in creative design. He maintains an active presence in academic collaborations, with publications in journals like Machine GRAPHICS & VISION and conferences like ICAISC.

Grzegorz Gutowskiمشاهده پروفایل

پژوهشگر

• Algorithms
• Graph Theory
• Combinatorics
• +۳ مورد دیگر

Grzegorz Gutowski is a researcher at the Department of Algorithmics, Faculty of Mathematics and Computer Science, Jagiellonian University. His research focuses on algorithms, graph theory, combinatorics, and computational complexity. He holds a Ph.D. in Computer Science from Jagiellonian University (2012). His work includes studies on graph coloring, online algorithms, combinatorial optimization, and algorithmic game theory. Key Research Themes: Graph coloring problems (e.g., online coloring, group coloring, interval coloring) Algorithmic complexity analysis Combinatorial game theory (e.g., slow-coloring games) Transportation network algorithms (e.g., Dial-a-Ride problems) Recent Publications Trends: Recent work emphasizes applications in graph theory, particularly in coloring and structural graph analysis. Notable contributions include studies on treewidth in planar graphs, mixed interval graphs, and combinatorial problems posed by Steinhaus. Awards & Grants: Principal Investigator for grants on algorithmic Nullstellensatz (2020-2025), smart transportation systems, and colonoscopy diagnostics Academic Activities: Supervises graduate research in algorithmics Active in organizing workshops and conferences on theoretical computer science Member of the Algorithmics Research Group at Jagiellonian University

• Combinatorics
• Graph Theory
• Discrete Mathematics
• +۵ مورد دیگر

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.