جست‌وجوی استاد و پژوهشگر

• Statistical Mechanics
• Complex Systems
• Sociophysics
• +۴ مورد دیگر

Krzysztof Malarz is an Associate Professor and Head of the Department of Applied Computer Science and Computational Physics at AGH University of Science and Technology's Faculty of Physics and Applied Computer Science. He leads the Complex Systems Group, focusing on interdisciplinary research bridging physics and social sciences. His editorial responsibilities include roles at Open Physics and PLoS One . Research interests span: Statistical mechanics of phase transitions Percolation theory in complex lattices Sociophysical models of opinion dynamics Network science and computational approaches to social systems Econophysics and wealth distribution Recent publications (2021-2025) demonstrate consistent focus on universality in percolation thresholds, social balance dynamics, and opinion formation models. Work frequently employs Monte Carlo methods, agent-based simulations, and analytical physics techniques to explore critical phenomena in social and physical systems. The Complex Systems Group under his leadership investigates emergent behaviors in networked systems, with resources including high-performance computing facilities. No funded projects or student advisees are detailed in available sources.

• Bioinformatics
• Computational biology
• Graph theory
• +۵ مورد دیگر

Professor Marta Kasprzak is a distinguished faculty member at Poznań University of Technology, holding a position in the Faculty of Computer Science and Telecommunications within the Institute of Computer Science. With the academic title of 'prof. dr hab. inż.', she represents the highest academic rank in the Polish system, indicating her significant contributions to her field. Her research interests focus on the intersection of computer science and biology, particularly in bioinformatics and computational biology. Professor Kasprzak specializes in applying graph theory and combinatorial algorithms to solve complex problems in genomics and DNA sequencing. Her work consistently bridges theoretical computer science with practical biological applications, making substantial contributions to both fields. Analysis of her recent publications reveals a strong trend toward increasingly sophisticated applications of graph theory to biological problems. Her 2024 publications span diverse topics from task allocation using Steiner systems to RNA World modeling with inhibitors, demonstrating both theoretical depth and biological relevance. The consistent publication output across decades indicates sustained research productivity and evolving expertise in computational approaches to biological challenges. Professor Kasprzak has supervised doctoral students including Maciej Antczak (2013) and Aleksandra Świercz (2007), and has served as a reviewer for numerous other dissertations in related fields. Her academic lineage connects to prominent researchers like Jacek Błażewicz, indicating integration within a strong research tradition in computational biology. Her research group at the Institute of Computer Science focuses on developing algorithmic solutions for biological data analysis, with particular emphasis on graph-based approaches to genomic sequence analysis and molecular modeling. This work contributes to the broader understanding of biological systems through computational methods and provides valuable tools for the bioinformatics community.

Robert Ostrowskiمشاهده پروفایل

استادیار

• Graph Theory
• Distributed Algorithms
• Multi-agent Systems
• +۳ مورد دیگر

Dr. Robert Ostrowski serves as an Assistant Professor at the Department of Algorithms and System Modeling within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His academic work focuses on theoretical computer science with emphasis on graph-based network problems. His research primarily explores graph theory and distributed algorithms , specializing in multi-agent systems for network security applications. Key investigation areas include heterogeneous agent searching, energy-constrained mobile agents in tree networks, and non-monotone graph searching strategies where traditional monotonicity assumptions do not hold. His work bridges theoretical foundations with practical network security implementations. Dr. Ostrowski's publication record demonstrates consistent focus on algorithmic solutions for network problems. His recent work shows increasing specialization in heterogeneous agent models and energy-aware protocols, with publications appearing in journals like Journal of Computer and System Sciences and Theoretical Computer Science . His academic advising and grant activities are not publicly documented in available sources. Similarly, no scientific awards or fellowships are mentioned in the provided materials.

Krzysztof Olińskiمشاهده پروفایل

استادیار

• Discrete optimization
• Control optimization
• Optimal control
• +۶ مورد دیگر

Krzysztof Oliński serves as an Assistant Professor at the Department of Decision Systems and Robotics within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic profile demonstrates a strong focus on control engineering with particular expertise in optimization methodologies for complex dynamic systems. Dr. Oliński's research centers on discrete optimization techniques applied to control theory, with significant contributions to optimal control strategies for nonlinear dynamic processes. His work bridges theoretical foundations with practical industrial applications, particularly in manufacturing and pipeline systems. He has developed innovative approaches including graph-based representations of state-space dynamics and agent-based optimization methods. His keyword profile reveals expertise in computational intelligence, swarm algorithms, and intelligent manufacturing systems, reflecting his interdisciplinary approach to solving complex control problems. An analysis of his publication history from 2007-2012 shows a clear research trajectory evolving from foundational work on fault-tolerant control systems to more sophisticated methodologies like the 'toolgraph' approach. His early publications focused on discrete optimization techniques for control planning, while his later work expanded to include agent-based strategies and integration of natural and artificial intelligence in production systems. His most impactful contributions involve novel representations of state-space dynamics through flow graph structures that enable more effective control strategy design. Dr. Oliński maintains an active research presence with publications in both Polish and international journals including Mathematical Problems in Engineering and the International Journal of Applied Mathematics and Computer Science. His work demonstrates consistent theoretical rigor combined with practical relevance to industrial applications, particularly in intelligent manufacturing systems and pipeline dynamics modeling.