جستجوی استاد راهنمای دانشگاهی

• Information Systems Development
• Digital Transformation
• Agile Software Development
• +۵ مورد دیگر

Dr. Bartosz Marcinkowski serves as Professor and Head of the Department of Business Informatics at the University of Gdańsk's Faculty of Management, concurrently holding the positions of Deputy Dean for Research and Head of the Doctoral School. His academic leadership spans departmental administration, faculty research strategy, and doctoral program oversight within Poland's prominent management education institution. Marcinkowski's research centers on the intersection of information systems and practical business applications, with dominant focus areas including agile software development methodologies, digital transformation frameworks, and facility management technology adoption. His work consistently addresses contemporary challenges such as post-pandemic recovery in IT projects, generative AI integration, and sustainable business practices through empirical industry-academia collaborations. Recent publications demonstrate particular expertise in scaling agile frameworks for distributed teams and implementing blockchain solutions in enterprise environments. Analysis of his 2022-2025 publications reveals a strategic research trajectory emphasizing practical solutions for complex business-technology challenges. His work shows increasing integration of sustainability considerations across domains, from facility management to corporate governance, while maintaining strong methodological focus on agile approaches and systems integration. The recurring industry-academia collaboration theme highlights his commitment to bridging theoretical research with real-world business applications.

Artur Dąbrowskiمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Chaos Theory
• Mechanical Engineering
• +۳ مورد دیگر

Dr. hab. Artur Dąbrowski is a Professor at the Department of Machine Dynamics - Division of Dynamics, Lodz University of Technology, Poland. His research focuses on Nonlinear Dynamics , Chaos Theory , and Mechanical Engineering , with a particular emphasis on Lyapunov exponent estimation, synchronization in chaotic systems, and control optimization. Key research areas include: Nonlinear Dynamics and Chaos Quantification Control Theory and Optimization Mechanical Systems and Oscillators Lyapunov Exponent Algorithms Surface Micro-Geometry in Bearings Vehicle Crashworthiness and Energy Flow His publications reveal a consistent focus on analyzing complex systems with reduced data, developing novel methods for chaos detection, and applying these insights to mechanical engineering challenges.

• Statistics
• Econometrics
• Supply Chain Management
• +۷ مورد دیگر

Dr. Anna Tatarczak is a Lecturer at the Department of Management Research Methods, Institute of Management and Quality Sciences, Faculty of Economics, Maria Curie-Skłodowska University. She holds a PhD in mathematical sciences from Jagiellonian University (2015) and an MSc in mathematics from Maria Curie-Skłodowska University. Her 13-year career spans research and education in statistics, econometrics, logistics, and decision analysis. PhD: Jagiellonian University (2015) MSc: Maria Curie-Skłodowska University (original text suggests Master of Science) Specialized in data analysis and project management through additional postgraduate studies Her research focuses on quantitative methods in management, particularly game theory approaches for supply chain coalitions, profit allocation models, and horizontal collaboration in logistics. She has led multiple research projects including "Coordination of supply chains: a game theory approach" (2020-2022) and commercial projects for companies like SOLVERIS and Innovative Engineering. Her academic output includes 27 publications with ministerial score 868, focusing on: Collaborative logistics Supply chain optimization Decision support systems Economic disparity analysis Energy consumption modeling Statistical applications in management She has implemented educational projects for children and youth, and served as expert for international entities including the State Education Development Agency (Latvia) and Horizon 2020. Her work combines rigorous mathematical approaches with practical industry applications.

Aleksandra Knapińskaمشاهده پروفایل

پژوهشگر

• Network Optimization
• Machine Learning
• Traffic Prediction
• +۷ مورد دیگر

Aleksandra Knapińska is a doctoral researcher at the Wrocław University of Science and Technology, Faculty of Electronics, Photonics and Microsystems, Department of Computer Networks and Systems. She is an active member of multiple research teams including the Computer Networks Team, Machine Learning Team, and Advanced Data Analysis Methods Team. Her work is primarily associated with the MAAN project focused on optimizing multilayer application-aware networks. Her research interests center on network optimization , machine learning for traffic prediction , and multi-criteria optimization in optical and multilayer networks . She applies advanced data analysis and machine learning techniques to model and predict time-varying network traffic, particularly in backbone and optical networks. Her work bridges theoretical modeling with practical network performance evaluation. The most recent articles highlight a strong trend in using machine learning—especially ensemble and neural network models—for short-term and long-term network traffic forecasting. These publications emphasize challenges such as feature selection, bandwidth blocking, node failure resilience, and traffic fragmentation in spectrally-spatially flexible optical networks. The research is deeply applied, targeting real-world network performance improvements. Scientific profiles: Google Scholar ResearchGate ORCID: 0000-0003-2654-4893 She is involved in supervising diploma theses and has participated in international research collaborations, including an internship at Politecnico di Torino, Italy, under the InterDocSchool program. She has presented her work at major conferences such as GLOBECOM, ONDM, RNDM, and CNSM. Her PhD thesis, titled "Optimization of multilayer networks with time-varying traffic aided by traffic prediction", is supervised by Prof. Krzysztof Walkowiak, with Dr. Piotr Lechowicz as co-supervisor. She is part of ongoing research projects including: Dark-Box Optimization – Developing highly effective general-purpose optimizers Evolutionary methods for multi-criteria optimization with many criteria Advanced optimization of multi-layer application-aware networks (MAAN) Using multi-criteria optimization in classifier training for decision-making tasks

• Artificial Intelligence
• Natural Language Processing
• Legal Informatics
• +۵ مورد دیگر

Tomasz Pełech-Pilichowski serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. He concurrently holds dual administrative leadership positions as Director of the AGH Recruitment Center and Rector's Representative for Recruitment, demonstrating significant institutional impact beyond his academic role. His research expertise spans artificial intelligence, natural language processing, and legal informatics with methodological foundations in deep learning and time series analysis. Recent work focuses on AI-driven solutions for legal text processing (text segmentation, hypertext law), educational technology (gamification, recruitment systems), and security applications (facial-age detection, anomaly identification). His interdisciplinary approach consistently bridges computer science with law, education, and environmental science through practical implementations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: legal tech innovation (68% of output featuring text segmentation and regulatory automation), educational transformation (22% including gamified AI skill development), and security/environmental systems (10% covering IoT integration and pollution prediction). This progression shows increasing specialization in AI-NLP fusion techniques applied to domain-specific challenges, particularly within legal informatics where he has developed novel text recovery and visualization frameworks.

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +۳ مورد دیگر

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

Dariusz Królمشاهده پروفایل

استاد

• Knowledge Engineering
• Multi-agent Systems
• Data Quality
• +۵ مورد دیگر

Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.

Jerzy Myckaمشاهده پروفایل

دانشیار

• Theory of computability
• Mathematical logic
• Philosophy of mathematics
• +۶ مورد دیگر

Jerzy Mycka is an Associate Professor at the Faculty of Mathematics, Physics and Computer Science of Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. He is affiliated with the Department of Teaching Mathematics and Computer Science and serves as the Faculty Coordinator for the Erasmus+ Programme . His research spans the theory of computability , mathematical logic , philosophy of mathematics , and the history of mathematics . He also explores the social and cultural role of mathematics , bridging technical rigor with philosophical inquiry. His publications reflect a deep engagement with foundational questions in computation, including Church's thesis , real recursive functions , and analog computation . His work often intersects with philosophical implications of computational limits and the nature of mathematical knowledge. He is actively involved in academic service, offering regular student consultations and coordinating international academic exchange through Erasmus+. His teaching and mentoring are integral to the university’s academic community.

Ewa Zaborowskaمشاهده پروفایل

دانشیار

• Wastewater Treatment
• Environmental Engineering
• Machine Learning Applications
• +۵ مورد دیگر

Dr. Ewa Zaborowska is an Associate Professor at the Department of Sanitary Engineering within the Faculty of Civil and Environmental Engineering at Gdańsk University of Technology. Her research focuses on environmental engineering with particular emphasis on wastewater treatment processes, greenhouse gas emissions, and sustainable energy recovery from wastewater treatment plants. Her research interests span across several critical areas in environmental engineering: Advanced machine learning applications for predicting nitrous oxide emissions in wastewater treatment Biogas production optimization through anaerobic digestion processes Carbon footprint analysis of wastewater treatment facilities Energy recovery pathways from wastewater treatment processes Mitigation strategies for achieving net-zero carbon conditions in wastewater treatment plants Dr. Zaborowska's recent publications (2022-2023) demonstrate a strong focus on sustainability challenges in wastewater management, with particular attention to greenhouse gas emissions (CH 4 and N 2 O) and carbon footprint reduction strategies. Her work often involves comparative studies between different countries (particularly Poland and Finland in the Baltic Sea region) and explores innovative approaches for energy recovery from wastewater treatment processes. Her scientific contributions include: Development of algorithms for selecting appropriate machine learning models for environmental prediction tasks Investigation of low-temperature pretreatment methods for enhancing biogas production Systematic reviews of net-zero carbon strategies for wastewater treatment plants Comprehensive carbon footprint analyses of wastewater treatment facilities Dr. Zaborowska actively collaborates with researchers from various institutions on projects related to sustainable wastewater management and greenhouse gas mitigation. Her work contributes significantly to the advancement of environmentally sustainable practices in the wastewater treatment sector.

Thomas J.R. Hughesمشاهده پروفایل

استاد

• Isogeometric Analysis
• Computational Mechanics
• Finite Element Analysis
• +۷ مورد دیگر

Thomas J.R. Hughes is the Peter O’Donnell Jr. Chair in Computational and Applied Mathematics and a Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He is affiliated with the Oden Institute for Computational Engineering and Sciences (Oden Institute), where he leads the Computational Mechanics Group. His research focuses on computational mechanics, isogeometric analysis, and biomedical modeling. Education: B.E. and M.E. in Mechanical Engineering from Pratt Institute; M.S. in Mathematics and Ph.D. in Engineering Science from the University of California, Berkeley. Research Interests include Isogeometric Analysis (integrating CAD and FEA), stabilized numerical methods for fluid flows, patient-specific biomedical simulations, and phase-field modeling. His work spans applications in cardiovascular systems, tumor growth, and geophysical flows. Hughes has authored over 150 journal articles, with recent contributions on isogeometric analysis, fluid-structure interaction, and computational geosciences. Notable awards include the von Neumann Medal (USACM), Gauss-Newton Medal (IACM), and Worcester Reed Warner Medal (ASME). He is a member of the National Academy of Engineering. His group advises students and postdocs in computational methods and collaborates with centers like the Oden Institute’s Computational Visualization Center. Current projects include isogeometric analysis, nanoparticle drug delivery, and ice sheet modeling.

Andrzej Wicherمشاهده پروفایل

دانشیار

• Psychoacoustics
• Audiology
• Tinnitus Research
• +۵ مورد دیگر

Andrzej Wicher serves as Associate Professor and Head of the Department of Acoustics within the Faculty of Physics and Astronomy at Adam Mickiewicz University (UAM) in Poznań, Poland. His academic leadership extends to membership on the Council of Disciplines of Physical Sciences and Astronomy since 2016, and previous service as Deputy Director of the Institute of Acoustics (2016-2019). Internationally, he holds an honorary Adjunct Professor position at La Trobe University in Melbourne, Australia. Wicher's research spans psychoacoustics, audiology, and auditory neuroscience, with particular focus on tinnitus mechanisms, otoacoustic emissions (especially DPOAE), binaural hearing phenomena, and speech intelligibility assessment. His work integrates clinical applications with fundamental auditory system modeling, recently expanding into environmental noise impacts—particularly wind turbine acoustics—on cognitive functions. This research portfolio reflects through 15+ recent publications showing consistent interdisciplinary connections between auditory diagnostics, neurological assessment, and real-world sound environments. His scientific contributions are recognized through multiple Rector's Awards for both organizational and scientific activities at UAM (2015-2024). As an active member of the Polish Academy of Sciences' Committee on Acoustics, European Acoustical Society, and Polish Acoustical Society, he contributes to the global acoustics community while co-organizing major conferences including the Open Seminar in Acoustics and Fechner Day. Wicher's teaching program includes specialized courses in psychoacoustics, hearing diagnostics, and auditory system analysis. His research infrastructure benefits from international collaborations with institutions including University of Cambridge, Tohoku University, University of Manchester, and University of Minnesota, supported through national (NCN) and international (EU FP6, NOR/POLNOR) grants.

• Energy Engineering
• Heat Engineering
• District Heating Systems
• +۵ مورد دیگر

Bujalski Wojciech is an Assistant Professor at the Institute of Heat Engineering within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. His academic career spans over 15 years with significant contributions to energy engineering, particularly in district heating systems, power plant technology, and thermodynamics. Dr. Bujalski's research interests focus on energy efficiency, thermal systems optimization, and distributed energy sources. His work bridges theoretical analysis with practical applications in industrial and municipal energy systems, with a particular emphasis on technical-economic assessments of energy infrastructure projects. His publication record demonstrates a consistent focus on practical energy engineering solutions, with recent works examining thermal energy storage, carbon capture technologies, and market-based mechanisms for pollution reduction. The research shows strong interdisciplinary connections between thermal engineering, environmental science, and energy economics. Throughout his career, Dr. Bujalski has collaborated extensively with industry partners including major energy companies, municipal authorities, and international research organizations. His projects often address real-world challenges in energy infrastructure, demonstrating the practical application of academic research.

• Fuel Cells
• Energy Systems
• CO2 Capture Technologies
• +۳ مورد دیگر

Dr. Jarosław Milewski is a researcher at the Institute of Heat Engineering , Faculty of Mechanical Energy and Aviation, Warsaw University of Technology. His work focuses on advanced energy technologies with particular emphasis on fuel cells, CO2 capture, and hybrid power systems. Research Interests: Fuel cell system modeling (MCFC/SOFC) Hybrid energy conversion technologies CO2 capture and utilization Thermal energy storage optimization Computational fluid dynamics applications Decentralized energy systems Scientific Recognition: Laureate of "Naukowcy dla gospodarki Mazowsza" (2012) Minister's scholarship for young scientists (2011) Multiple Rector's Awards (2004-2009)

• Economics
• Finance
• Econometrics
• +۷ مورد دیگر

Paweł Kliber is a Professor at the Department of Econometrics within the Institute of Informatics and Quantitative Economics at Poznań University of Economics and Business. His research spans Economics and Finance , with a focus on Econometrics , Portfolio Optimization , and Financial Modeling . Role: Professor (since 2014) Institution: Poznań University of Economics and Business Email: p.kliber@ue.poznan.pl Kliber’s research emphasizes liquidity risk , regional economic convergence , and stochastic volatility in financial markets . His work includes empirical analyses of the Frankfurt Stock Exchange , Polish financial markets , and theoretical contributions to quantile hedging and multi-criteria portfolio selection . Recent publications highlight trends in portfolio choice integrating financial statements, supply chain resilience , and Okun’s law variations across Polish regions. His methodological approaches combine jump-diffusion models , quantitative risk analysis , and panel data econometrics . Kliber has authored 36 publications and supervised 2 promoted theses. His academic contributions include studies on monetary policy effectiveness in Poland and convergence dynamics in OECD economies.

• Spatial Data Infrastructure (SDI)
• GIS Applications
• Machine Learning in Geoinformatics
• +۳ مورد دیگر

Iwona Kaczmarek is a Professor in the Department of Systems Research at the Wrocław University of Science and Technology's Faculty of Spatial Management and Landscape Architecture. Her work focuses on advancing spatial data infrastructure (SDI), geoinformatics, and machine learning applications in urban and regional planning. She leads interdisciplinary research integrating GIS, natural language processing (NLP), and graph neural networks to address challenges in spatial planning, policy analysis, and socio-economic modeling. Research interests include: Spatial data integration and interoperability Machine learning for geospatial analysis Semantic web technologies for open data Urban sustainability and transit-oriented development Policy text mining and stakeholder analysis Recent work emphasizes: 1. Combining media sentiment analysis with economic indicators during crises (2025) 2. GeoAI-driven quality of life predictions using graph neural networks (2023) 3. Knowledge graph extraction from spatial development plans (2023) 4. Harmonizing local planning documents via NLP (2022) Collaborations include projects like the EYE initiative analyzing remote sensing for economic trends and SDI implementations in academic contexts. Over 75 documented outputs highlight her contributions to geospatial innovation and policy-relevant research.