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• Bioinformatics
• Computational biology
• Graph theory
• +5 more

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.

• Electrical Power Engineering
• Medium Voltage Networks
• Earth Fault Protection Systems
• +5 more

Professor Józef Lorenc is a distinguished academic at Poznań University of Technology, holding the position of full professor within the Faculty of Environmental and Energy Engineering, specifically in the Institute of Electrical Power Engineering. With a scientific discipline classified under Environmental engineering, mining and energy (100%), he maintains an active research profile with numerous publications spanning several decades, including multiple publications in 2024. His research interests focus on critical aspects of electrical power systems, particularly medium voltage networks, earth fault protection systems, reactive power compensation, and demand response mechanisms. Professor Lorenc's work bridges theoretical analysis with practical applications, addressing real-world challenges in power system reliability and safety. His expertise in electrical network analysis, particularly concerning earth asymmetry and fault detection, has positioned him as a leading researcher in his field. Analysis of his recent publications reveals a consistent focus on improving the reliability and efficiency of electrical power distribution systems. His work on reactive power compensation directly addresses energy loss reduction in distribution networks, while his research on demand elasticity informs better tariff design for residential consumers. The recurring theme across his publications is enhancing the safety and reliability of medium voltage networks, particularly through advanced fault detection and protection mechanisms. Professor Lorenc has supervised 10 doctoral dissertations and reviewed 11 additional dissertations, demonstrating his significant contribution to academic mentoring. His students have worked on topics including earth fault detection systems, medium voltage network protection, and demand response mechanisms. His editorial leadership on multiple editions of 'Blackout and the national power system' has shaped important discourse on power system security in Poland. His research has practical applications in improving the reliability of electrical networks, with several patented inventions including systems for detecting high-resistance short circuits and specialized measurement devices for network diagnostics. These contributions demonstrate his commitment to translating theoretical research into practical solutions for power system challenges.

Wojciech JędruchView profile

Associate Professor

• Feature Extraction
• Machine Learning
• Evolutionary Algorithms
• +7 more

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.

Jerzy DemkowiczView profile

Assistant Professor

• Geoinformation Systems
• Wireless Sensor Networks
• Remote Sensing
• +4 more

Dr. Jerzy Demkowicz serves as an Assistant Professor at the Department of Geoinformation Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His academic work centers on geospatial information systems with emphasis on sensor network development and navigation technologies. His research spans wireless environmental monitoring systems, inertial navigation algorithms, and machine learning applications for remote sensing. Key contributions include solar-powered LoRa-based distributed sensor networks, IMU tilt measurement techniques for drone stabilization, MEMS modeling for underwater navigation, and novel GNSS positioning algorithms for urban environments. His Mars terrain analysis using convolutional neural networks demonstrates cross-domain application of deep learning. Recent publications (2022-2025) reveal consistent focus on algorithmic innovation for challenging environments—underwater, urban canyons, and extraterrestrial surfaces—through sensor fusion and numerical methods that improve accuracy without historical data dependencies. Scientific Awards: No awards documented in source material. Advising and Grants: Graduate student supervision and research funding details were not provided in available documentation. Laboratories: Specific laboratory affiliations or research teams were not specified in the source text.

Przemysław Falkowski-GilskiView profile

Assistant Professor

• Geoinformatics
• Smart Cities
• IoT (Internet of Things)
• +5 more

Dr. Przemysław Falkowski-Gilski serves as an Assistant Professor at the Department of Geoinformation Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges geospatial engineering with computational intelligence, focusing on real-world applications in urban environments and sensor networks. His primary research domains include: Geoinformatics and GNSS positioning systems IoT infrastructure for smart cities Swarm intelligence optimization algorithms Edge computing resource allocation AI-driven data analysis for urban mobility Recent publications (2024-2025) reveal a cohesive research trajectory addressing critical challenges in smart city resource management through UAV-assisted edge computing, Android-based urban navigation, and sensor ontology integration. His work consistently applies advanced optimization techniques—such as Golden Jackal and Beetle Swarm algorithms—to solve practical problems in geospatial data processing and IoT systems, demonstrating strong interdisciplinary methodology.

Wojciech SiwickiView profile

Assistant Professor

• Radio Navigation
• Positioning Systems
• Terrestrial Radiolocation
• +2 more

Wojciech Siwicki is an Assistant Professor at the Department of Radiocommunication Systems and Networks within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. Based in room 406 of Building A, he can be contacted via email (wojciech.siwicki@pg.edu.pl) or phone (+48 58 347 1577). His research focuses on radio navigation and terrestrial positioning systems , particularly: Hyperbolic radio navigation alternatives to GNSS Asynchronous and self-organizing radiolocation methods Indoor localization algorithms using radio distance measurements Security analysis of navigation infrastructure Internet of Things radio interfaces Publications from 2013-2020 reveal consistent work on Polish radiolocation systems (AEGIR/JEMIOLUSZKA), with emphasis on system reliability, asynchronous operation, and comparative performance analysis in both static and dynamic environments. His contributions span theoretical modeling and practical implementation of terrestrial navigation solutions. Dr. Siwicki participates in research projects funded by the Intelligent Development Operational Programme, including DUCH IoT (software-defined radio interfaces for IoT devices) and VCS-MLAT (aircraft location in distributed VCS systems), demonstrating applied research engagement in navigation technology innovation.

Marek WójcikowskiView profile

Associate Professor

• Microelectronics
• Sensor Systems
• Air Pollution Monitoring
• +3 more

Dr. Marek Wójcikowski serves as Associate Professor and Head of the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology, where he leads academic and research initiatives in microelectronics and sensor development. His research specializes in creating low-cost autonomous platforms for environmental monitoring, with emphasis on nitrogen dioxide (NO 2 ) and particulate matter (PM) detection in urban settings. He pioneers machine learning techniques for sensor calibration and correction, while extending expertise to radiation-tolerant electronics for space applications like satellite quantum key distribution systems. This interdisciplinary work bridges environmental science, embedded systems engineering, and data analytics to address critical air quality challenges affecting public health. Analysis of his 2024-2026 publications reveals consistent focus on real-world sensor deployment, machine learning optimization for field correction, and space-grade FPGA implementations. Key trends include urban air quality monitoring for drivers/public, integration of global data correlation methods, and development of cost-efficient measurement infrastructure targeting respiratory health impacts. Scientific Awards: No awards were documented in the source material. Advising and Grants: The provided text contains no information regarding graduate students, research grants, or funded projects under Dr. Wójcikowski's supervision. Labs and Teams: While his departmental leadership role implies oversight of Microelectronic Systems research infrastructure, specific laboratory names, team compositions, or collaborative groups are not disclosed in the available content.

Jacek RumińskiView profile

Professor

• Biomedical Engineering
• Medical Image Processing
• Deep Learning for Medical Applications
• +3 more

Prof. Jacek Rumiński serves as Professor and Head of the Department of Biomedical Engineering within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His leadership drives innovation at the critical intersection of engineering and clinical medicine, focusing on computational solutions for healthcare challenges. His research program spans: Advanced medical image segmentation for wound assessment and body composition analysis using dual-attention U-Net architectures Convolutional neural networks for extracting clinical metrics from low-resolution dual-energy X-rays Respiratory signal processing from thermal imaging during pandemic conditions Rule-based systems and LLMs for protecting electronic health information in DICOM objects Analysis of his 2025 publications reveals a consistent emphasis on overcoming class imbalance in medical imaging through ensemble methods and Bayesian optimization, while addressing critical clinical needs in lipedema diagnosis, wound management, and medical data privacy. His work demonstrates rigorous validation using Polish clinical datasets and practical implementation frameworks. As Department Head, Prof. Rumiński leads a multidisciplinary team advancing biomedical technologies through close collaboration with clinical partners, establishing Gdańsk Tech as a hub for healthcare AI innovation in Central Europe.

Natalia KowalczykView profile

Lecturer

• Biomedical Engineering
• Machine Learning in Healthcare
• Digital Twin Applications
• +3 more

Natalia Kowalczyk serves as an Assistant Lecturer at the Department of Biomedical Engineering within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. Her academic profile demonstrates a strong focus on applying advanced computational techniques to solve critical healthcare challenges, particularly in maternal health monitoring and biomedical signal processing. Her research interests span multiple interdisciplinary domains including biomedical engineering, machine learning applications in healthcare, digital twin technology for medical diagnostics, and federated learning systems for privacy-preserving healthcare AI. Kowalczyk's work particularly emphasizes maternal health monitoring systems, respiratory signal analysis, and the application of synthetic data in medical diagnostics. Analysis of her recent publications reveals a consistent trajectory toward developing AI-driven healthcare solutions with practical clinical applications. Her research demonstrates expertise in machine learning algorithm development, particularly XGBoost and federated learning approaches, applied to obstetric healthcare challenges including preeclampsia prediction and gestational diabetes diagnosis. She also contributes to computer vision applications in biomedical contexts and edge computing for healthcare infrastructure. Natalia Kowalczyk collaborates extensively with researchers including J. Rumiński, M. Mazur-Milecka, and T. Kocejko across multiple healthcare technology projects. Her work bridges theoretical machine learning advancements with practical healthcare implementations, particularly in maternal health monitoring and pandemic response systems.

Agata SiemaszkoView profile

Lecturer

• Construction Engineering
• Risk Management
• Bayesian Networks
• +3 more

Agata Siemaszko is an Assistant Lecturer at the Department of Building Engineering, Faculty of Civil and Environmental Engineering, Gdańsk University of Technology. She maintains an active research profile while contributing to academic instruction in civil engineering disciplines. Dr. Siemaszko's research interests span multiple critical areas of modern civil engineering: Bayesian Networks applications in construction management Risk assessment methodologies for urban construction projects Metaheuristic optimization techniques for engineering decision-making Life cycle assessment and cost analysis of building systems Traffic-induced structural vibrations and safety assessment Decision support systems for engineering management under uncertainty Her publication record reveals a clear evolution from foundational risk assessment research to sophisticated computational approaches integrating Bayesian Networks with metaheuristic optimization. This progression demonstrates her commitment to developing practical tools that address the complex, multi-criteria challenges inherent in modern construction management where stakeholders often have conflicting interests. Her most recent work continues to push boundaries with 2025 publications focusing on optimization techniques for building project management. Dr. Siemaszko has earned recognition for her scholarly contributions through several prestigious awards: Second Prize for outstanding publication 'Problems of maintenance of historic bridge structures' at the 14th Scientific Conference of Doctoral Students of Civil Engineering Departments (2014) Winner of the competition for best scientific works concerning the Żuławy region of the Vistula Delta (2012) Third place in the competition for master's and doctoral theses thematically related to the Vistula River (2010) Her research activities include grant-supported work such as the Miniatura 7 grant DEC-2023/07/X/ST8/00317 for vibration measurements of residential buildings. She has contributed to numerous research projects addressing risk management, construction optimization, and structural safety assessment in challenging urban environments. Dr. Siemaszko's laboratory work focuses on structural vibration testing and monitoring, particularly examining how traffic-induced vibrations affect residential buildings. Her approach combines empirical measurement with advanced probabilistic modeling to develop practical risk assessment frameworks for building safety and longevity.

Robert OstrowskiView profile

Assistant Professor

• Graph Theory
• Distributed Algorithms
• Multi-agent Systems
• +3 more

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.

Alicja OlejniczakView profile

Lecturer

• Deep Learning
• Wireless Communications
• LTE Technology
• +6 more

mgr inż. Alicja Olejniczak serves as a Lecturer at the Department of Radiocommunication Systems and Networks within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. Her work focuses on the intersection of wireless communications and artificial intelligence, particularly applying deep learning techniques to solve challenging problems in modern radio systems. Her primary research interests include: Deep learning applications in wireless communication systems Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) identification in indoor environments Signal processing for GMSK modulation schemes Software-defined radio implementations for NB-IoT technologies Train detection using LTE reference signals Radiolocation systems and multilateration techniques Analysis of her recent publications reveals a strong trend toward applying deep learning methods to solve practical problems in wireless communications. Her work spans both theoretical development and practical implementation of algorithms for signal processing, channel estimation, and radio interface design. A significant portion of her research focuses on NB-IoT and LTE technologies, with applications ranging from Internet of Things to transportation systems like train detection. Dr. Olejniczak actively participates in multiple research projects at Gdańsk University of Technology, including: SDIDS - Software-Defined Device for Detecting and Mitigating Interferences in 4G-LTE and 5G-NR radio interfaces DUCH IoT - A software-defined, universal radio interface for intelligent IoT devices VCS-MLAT - Innovative method of aircraft locating in distributed VCS systems AEGIS - Mobile Device for Generating Electromagnetic Curtain Her laboratory work involves hands-on implementation of software-defined radio systems and conducting measurements in real-world environments to validate theoretical models. She collaborates extensively with colleagues including O. Błaszkiewicz, K. Cwalina, P. Rajchowski, and J. Sadowski on various research initiatives.

Elżbieta CzarnyView profile

Professor

• International Economics
• European Integration
• International Trade
• +3 more

Prof. Elżbieta Czarny is a distinguished Professor at Warsaw School of Economics specializing in International Economics through the Institute of International Economics. Her academic career spans decades of research on European integration, international trade dynamics, and economic competitiveness with particular focus on Poland's position within global value chains and EU structures. Her research program centers on International Economics , European Integration , and Economic Competitiveness with specialized expertise in Visegrad Group economies, German-Polish economic relations, and transatlantic trade frameworks. Key methodological approaches include export structure analysis, competitiveness benchmarking, and geopolitical economic impact assessment. Analysis of her 15 most recent publications (2024-2017) reveals three dominant research trajectories: (1) Real-time assessment of geopolitical shocks on social market economies (Ukraine war impacts); (2) Evolutionary analysis of EU-10 export convergence toward German manufacturing standards; (3) Critical evaluation of transatlantic trade frameworks including TTIP's institutional implications. Her work consistently bridges theoretical trade models with empirical analysis of Eastern European integration. Prof. Czarny maintains active scholarly engagement through editorial leadership, notably co-editing the 2016 volume on EU-US global production networks. Her research demonstrates sustained policy relevance through timely analysis of economic crises, institutional transformations, and geopolitical economic realignments affecting Central Europe.

• Viola Performance
• Chamber Music
• Contemporary Classical Composition
• +3 more

Dr. hab. Krzysztof Komendarek-Tymendorf serves as Associate Professor of Viola and Chamber Music at the Stanislaw Moniuszko Academy of Music in Gdansk and Associate Professor of Viola at the Feliks Nowowiejski Academy of Music in Bydgoszcz. As a national consultant for the Center for Artistic Education (CEA), he represents contemporary Polish viola performance and pedagogy at the highest level. His affiliations include the Polish Viola Society and leadership roles in major cultural initiatives. His research focuses on contemporary viola repertoire with over 60 world premieres, electronic music integration, and innovative pedagogical methods. Komendarek-Tymendorf has premiered works by leading Polish composers including Tadeusz Dixa, Marek Sewen, and Krzysztof Falkowski, establishing himself as a protagonist of new music for viola. His scholarly contributions include publications in the Journal of the American Viola Society and meakultura.pl. His 15 most recent articles demonstrate specialization in contemporary viola performance, particularly in Polish compositions and electronic integrations. The works span solo, chamber, and orchestral contexts, with strong emphasis on technical innovation and emotional expression. Critical reception highlights international recognition through awards like the Pizzicato Supersonic Award and Diapason Magazine's 5 Camertones. Meritorious for Polish Culture (2017) Bronze Medal Gloria Artis (2022) Pizzicato Supersonic Award Clouzine 9 International Music Awards 5 Camertones in Diapason Magazine City of Gdańsk Award for Young Artists (2016) Personality of Pomerania (2016) As a mentor, Komendarek-Tymendorf has guided over 40 students to positions in major orchestras including the Tonkünstler-Orchester Vienna and Baltic Philharmonic. His grant portfolio includes Nordic Baltic Festival Platform Fellowship, Erasmus+, and the Minister of Science's 3-year scholarship for outstanding young scientists. The EURO Chamber Music Festival he directs received the prestigious EFFE mark from the European Festival Association. He co-founded and performs with the Balthus Quartet and Duo del Gesù, collaborating with institutions like the International Mahler Orchestra and Royal Johann Strauss Orchestra. His performance venues include Berliner Philharmonie, Musikverein Vienna, and Konserthuset Gothenburg, demonstrating extensive international engagement through the Space Art Festival and Viva Viola Festivity initiatives.