Find Academic Supervisors

Anna Jakubczyk-GałczyńskaView profile

Assistant Professor

• Structural Engineering
• Machine Learning Applications
• Vibration Analysis
• +3 more

Dr. Anna Jakubczyk-Gałczyńska serves as an Assistant Professor in the Department of Civil Engineering at the Faculty of Civil and Environmental Engineering, Gdańsk University of Technology. Her academic work bridges traditional civil engineering with advanced computational techniques, focusing on practical applications that address contemporary challenges in structural analysis and construction management. Her research interests span multiple interdisciplinary domains including structural engineering, machine learning applications, vibration analysis, and construction management optimization. Dr. Jakubczyk-Gałczyńska has developed expertise in applying metaheuristic optimization methods and machine learning algorithms to solve complex engineering problems, particularly in seismic analysis and building vibration assessment. Analysis of her recent publications (2024-2025) reveals a strong trend toward integrating artificial intelligence with traditional civil engineering practices. Her work demonstrates how machine learning can enhance predictive capabilities in structural engineering, particularly in vibration analysis and seismic response prediction, while metaheuristic methods show promise for optimizing construction management processes and decision-making. Dr. Jakubczyk-Gałczyńska has established productive research collaborations with colleagues including M. Mikielewicz, R. Jankowski, A. Siemaszko, and M. Poltavets, resulting in publications in reputable journals such as Applied Sciences-Basel, Bulletin of the Polish Academy of Sciences, and Engineering Applications of Artificial Intelligence.

Jakub SzulwicView profile

Assistant Professor

• geodesy
• photogrammetry
• remote sensing
• +6 more

Jakub Szulwic is an Assistant Professor at the Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdańsk University of Technology. His work focuses on applying advanced geodetic and remote sensing technologies to solve complex problems in civil engineering, environmental monitoring, and cultural heritage preservation. Dr. Szulwic earned his doctoral degree in Geodesy and Cartography from the Faculty of Geodesy and Spatial Management at the University of Warmia and Mazury in Olsztyn in 2003. His academic journey has positioned him as a specialist in terrestrial laser scanning, photogrammetry, and geospatial data processing. Dr. Szulwic's research interests span across multiple domains of geospatial technology. His primary focus areas include geodesy , photogrammetry , remote sensing , lidar , terrestrial laser scanning , geoscience , civil engineering , geoinformatics , and geomatics . His work demonstrates how these technologies can be applied to diverse fields from structural engineering to environmental monitoring and agricultural technology. His publication record shows a consistent focus on practical applications of geospatial technologies. Recent work includes studies on HBIM (Historical Building Information Modeling), marine gravimetric measurements, light pollution monitoring, agricultural technology, and structural diagnostics. His research demonstrates a pattern of applying advanced scanning and imaging technologies to solve real-world problems across multiple domains including civil engineering, environmental science, and agriculture. Dr. Szulwic leads several significant research projects including PLAN-B (addressing light and noise pollution impacts on biodiversity), BalMarGrav (marine gravity mapping), SoURCE (utility risk/cost evaluation), and MarLS (3D laser scanning from vessels). These projects are funded by European programs including Horizon Europe, European Territorial Cooperation, European Space Agency, and European Regional Development Fund. He is actively involved in laboratory work and research teams focused on geodetic measurements, with particular expertise in laser scanning applications both on land and at sea. His work with the Department of Geodesy at Gdańsk Tech has established him as a key researcher in applying geospatial technologies to solve complex engineering and environmental challenges.

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.

Krzysztof OlińskiView profile

Assistant Professor

• Discrete optimization
• Control optimization
• Optimal control
• +6 more

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.

Marek TataraView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Computer Vision
• +5 more

Dr. Marek Tatara 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 work spans multiple engineering disciplines with a focus on artificial intelligence applications across diverse domains. Dr. Tatara's research interests encompass Artificial Intelligence , Robotics , Computer Vision , and Music Technology , demonstrating a unique interdisciplinary approach. His work bridges theoretical computer science with practical engineering applications, particularly in developing systems that integrate machine learning with physical processes. His publication record shows consistent output with research spanning from 2022 to 2025, with recent work focusing on generative AI for music composition, vision systems for robotics, and cyber-physical systems. The publications demonstrate a pattern of collaborative research across international teams and appear in reputable journals including IEEE Transactions on Automation Science and Engineering. Dr. Tatara maintains active contact through his university email martatar@pg.edu.pl and phone number 583471668, indicating ongoing academic engagement at Gdańsk University of Technology.

• Applied mathematics
• Mathematical modeling
• Data analysis
• +2 more

Konrad Kania is a Lecturer at the Department of Quantitative Methods in Management within the Faculty of Management at Lublin University of Technology. He has been working as a researcher and lecturer since 2019, initially at the Faculty of Management at the Faculty of Electrical Engineering and Computer Science, and since 2020 at his current department. His research focuses on applied mathematics, mathematical modeling, data analysis, machine learning, and deep learning, with particular emphasis on tomography applications. Kania's work bridges theoretical mathematical approaches with practical industrial implementations, especially in ultrasound and electrical tomography systems. Analysis of his publications from 2019-2021 reveals a strong focus on developing innovative algorithms for image reconstruction in various tomographic systems. His research spans multiple disciplines including computer science, electrical engineering, physics, and industrial applications, with particular emphasis on real-time processing, anomaly detection, and machine learning applications in tomography. Kania teaches statistical methods, optimization methods, mathematics, and seminars on Using R in Quantitative Methods, demonstrating his commitment to both theoretical and applied aspects of quantitative methods in management education.