جست‌وجوی استاد و پژوهشگر

Przemysław Zarębaمشاهده پروفایل

استادیار

• Cancer pharmacotherapy
• Central nervous system diseases
• Bioactive compound design
• +۷ مورد دیگر

Dr. Przemysław Zaręba is a Research and Teaching Assistant Professor at the Department of Chemical Technology and Environmental Analytics within the Faculty of Chemical Engineering and Technology at Tadeusz Kościuszko Cracow University of Technology. He holds a Doctor of Engineering degree (2023) and Master of Science in Engineering (2017), both from the same institution, specializing in Chemical Engineering and Light Organic Technology respectively. His research interests span cancer pharmacotherapy, central nervous system diseases, bioactive compound design, molecular modeling, and specifically focus on 5-HT receptor ligands and the PI3K/AKT/mTOR pathway for treating prostate cancer, glioblastoma, and other oncological conditions. Dr. Zaręba has developed expertise in designing dual-target inhibitors that simultaneously address multiple signaling pathways involved in cancer progression. Analysis of his recent publications reveals a strong focus on innovative therapeutic approaches targeting serotonin receptors (particularly 5-HT5A, 5-HT6, and 5-HT7) in various cancers, with emphasis on prostate cancer, glioblastoma, and triple-negative breast cancer. His work combines molecular modeling, organic synthesis using green chemistry principles, and comprehensive biological evaluation to develop novel therapeutic agents. Winner of the National Centre for Research and Development's LIDER program (14th edition, 2023) Recipient of the FNP Start scholarship (2023) Principal investigator for Proof of Concept grant (FNP, FENG perspective) Dr. Zaręba leads multiple significant research projects with substantial funding, including the LIDER14/0035/2023 project on 5-HT5A receptor ligands for castration-resistant prostate cancer (2024-2027), and collaborates with institutions like Nicolaus Copernicus University in Toruń on NCN Opus projects. His team includes researchers with complementary expertise in organic synthesis, pharmacological testing, and molecular modeling, creating a multidisciplinary approach to drug discovery.

• 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.

Wojciech Jędruchمشاهده پروفایل

دانشیار

• Feature Extraction
• Machine Learning
• Evolutionary Algorithms
• +۷ مورد دیگر

Dr. Wojciech Jędruch serves as Associate Professor at the Department of Intelligent Interactive Systems within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic profile shows consistent engagement in advanced research at the intersection of artificial intelligence, robotics, and cognitive systems. His research expertise spans multiple critical domains in modern AI development: Machine Learning techniques for dimensionality reduction Architectures for autonomous decision-making systems Self-organization principles in multi-agent frameworks Cognitive modeling for robotic applications Evolutionary approaches to system optimization Dr. Jędruch's work demonstrates strong interdisciplinary connections between computer science, cognitive psychology, and systems theory. Analysis of his publication record reveals a cohesive research trajectory focused on enabling intelligent systems to manage complexity through feature extraction and memory modeling. His work on shepherding problems demonstrates practical applications of autoencoders for managing large-scale agent collectives, while his research on economic modeling in multi-agent systems shows theoretical depth in emergent organizational patterns. As a member of the Department of Decision Systems and Robotics research team, Dr. Jędruch contributes to Gdańsk Tech's legacy in control theory that has evolved into contemporary artificial intelligence research. His work continues the institution's tradition of bridging mathematical systems theory with practical robotic implementations.

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.