جستجوی استاد راهنمای دانشگاهی

Michał Pilipczuk is an Associate Professor at the Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics of the University of Warsaw. His research focuses on theoretical computer science, particularly algorithms on discrete structures, parameterized algorithms, structural graph theory, and logic in computer science. He leads the ERC-funded project "BOBR: Decomposition Method for Discrete Problems" and previously led a grant on optimality in parameterized complexity funded by the Polish National Science Center. His research interests include parameterized algorithms , structural graph theory , graph algorithms , and computational complexity . He has made significant contributions to the understanding of problems such as Independent Set in restricted graph classes, graph editing problems, and structural decompositions. The recent publications highlight a strong focus on structural graph theory and exact algorithms . Key themes include quasi-polynomial time algorithms for Independent Set in claw-free graphs, diameter computation in bounded genus graphs, and kernelization in trivially perfect graphs. His work often bridges combinatorial insights with algorithmic applications, particularly in the context of parameterized complexity. Principal Investigator, ERC Grant BOBR: Decomposition Method for Discrete Problems (2021–2026) Principal Investigator, Polish National Science Center Grant on Optimality in Parameterized Complexity (2014–2017) He has advised or collaborated with several researchers, including Marcin Wrochna and Marcin Pilipczuk. His work is published in top venues such as STOC, SODA, ESA, and ICALP.

• Algorithms on Discrete Structures
• Parameterized Algorithms
• Structural Graph Theory
• +۴ مورد دیگر

Michał Pałasz, PhD, is an Associate Professor at Jagiellonian University's Faculty of Management and Social Communication, Institute of Culture. His research focuses on management in the Anthropocene, posthumanism, ecological humanities, and climate policy. He serves as a European Climate Pact Ambassador, advocating for socio-environmental change through academic and community engagement. His research interests include exploring non-human agency, degrowth, and critical management studies. He has published extensively on climate action, cultural management, and digital culture, with notable works like Culture Management Must Fuel Socioenvironmental Change (2024) and Language Affects Climate (2024). His work bridges theory and practice, emphasizing inclusive and planetary-bound solutions. Pałasz has collaborated on projects such as Tick-tock, the End of the World (2022), examining multidisciplinary responses to the climate crisis. His academic contributions span journal articles, edited books, and conference presentations, often addressing the intersection of management, culture, and environmental sustainability. He teaches courses on posthumanistic management and climate policy, integrating critical perspectives into education. His work highlights the urgency of rethinking management practices to address polycrisis challenges, advocating for more-than-human-centered approaches.

• Management in the Anthropocene
• Posthumanism
• Ecological Humanities
• +۵ مورد دیگر

Maciej Zięba is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically within the Department of Artificial Intelligence . His work spans machine learning, deep learning, and computer vision, with a focus on hyperspectral imaging, autonomous systems, and 3D modeling. Recent research includes uncertainty-aware sensor deployment for autonomous vehicles, low-light image enhancement algorithms, and probabilistic regression frameworks for tabular data. He has co-authored publications on flow-based models, hypernetworks, and neural radiance fields (NeRF) applied to 3D face rendering. Contact: maciej.zieba@pwr.edu.pl

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Magdalena Szymczyk is a Lecturer in the Department of Biocybernetics and Biomedical Engineering at AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. Her work bridges embedded systems, biomedical signal processing, and geophysical data analysis. Research focuses on energy-efficient sensor networks, neural networks for GPR data classification, and mathematical transforms in signal analysis Expertise in parallel computing, real-time systems, and biomedical engineering applications Her publications (2015–2025) demonstrate a trajectory from parallel neural networks and S-transform/GPR methodologies to recent work on MicroPython in embedded systems. Key themes include energy optimization in distributed architectures and AI-driven signal processing across biomedical and geophysical domains. She has authored works on deterministic chaos in simulations, GPU image processing, and cybersecurity in microcontroller systems. Her current research emphasizes embedded systems security, medical signal diagnostics, and computational methods for geological analysis. She utilizes tools like OpenCL for GPU acceleration and MATLAB for parallel computing implementations.

• Embedded Systems
• Artificial Neural Networks
• Signal Processing
• +۳ مورد دیگر

Ngoc Thanh Nguyen is a Full Professor at Wroclaw University of Science and Technology where he serves as Head of the Department of Applied Informatics. He holds the prestigious title of Professor granted by the President of Poland and has been recognized as a Distinguished Scientist of ACM since 2009. He serves as Editor-in-Chief of both the Journal of Information and Telecommunication (JIT) and the Vietnam Journal of Computer Science (VJCS), and chairs the IEEE SMC Technical Committee on Computational Collective Intelligence. His research spans computational collective intelligence, knowledge integration, data mining, social media analysis, and sentiment analysis. Professor Nguyen has pioneered significant methodologies in spatial data clustering within network space, inter-sequence pattern mining, and graph neural network applications. His work bridges theoretical computer science with practical applications in intelligent information systems, demonstrating particular expertise in handling complex spatial and sequential data structures. His research has evolved from foundational pattern mining techniques to sophisticated neural network approaches for geospatial and social data analysis. The analysis of his recent publications reveals a strong focus on spatial data analysis in network environments, with significant contributions to clustering algorithms, graph neural networks, and pattern mining. His work consistently addresses efficiency challenges in data processing while expanding into emerging areas like Vietnamese language processing and topological data analysis. The research demonstrates a clear trajectory from traditional data mining techniques toward more sophisticated AI-driven approaches that incorporate spatial relationships and network topologies. Distinguished Scientist of ACM (2009) ACM Distinguished Speaker (2009-2013) IEEE Distinguished Visitor (2009-2013) Title of Professor granted by the President of Poland Professor Nguyen has supervised over 20 PhD students to completion and currently mentors several ongoing doctoral candidates. His academic leadership extends to founding two major conference series: the Asian Conference on Intelligent Information and Database Systems (ACIIDS) and the International Conference on Computational Collective Intelligence (ICCCI), which have become significant venues in their respective fields. His collaborative network spans multiple institutions, particularly with Yeungnam University as evidenced by several co-supervised PhD projects. As founder and chair of the IEEE SMC Technical Committee on Computational Collective Intelligence, he leads an international community of researchers advancing this specialized field. His departmental leadership at Wroclaw University of Science and Technology positions him at the center of applied informatics research and education in Poland, with particular emphasis on computational intelligence applications.

• Computational Collective Intelligence
• Knowledge Integration
• Data Mining
• +۶ مورد دیگر

Dr. Radosław Sierocki serves as a Lecturer in the Department of Sociology at the University of Warmia and Mazury in Olsztyn, Poland. His academic profile demonstrates sustained scholarly engagement since at least 2008, with increasing publication output in recent years. Dr. Sierocki maintains an active research agenda focused on the intersection of sociology, religion, and digital media, with particular attention to how religious institutions adapt to contemporary communication environments. Dr. Sierocki's research interests center on the sociology of religion, especially examining the Roman Catholic Church's presence and practices in digital spaces. His work investigates how religious communities navigate social media platforms, with multiple publications analyzing Catholic Facebook communities in Poland through social network analysis. He also explores broader themes of digital mediatization, algorithmic culture's impact on religious authority, and the transformation of religious practices in online environments. His scholarship extends to political discourse analysis, particularly examining pandemic communication strategies and metaphorical framing in media coverage of major crises. Analysis of Dr. Sierocki's publication trajectory reveals a clear evolution from foundational work on religious practices in new media (2016-2018) to increasingly sophisticated analyses of digital religious communities (2021) and most recently to examining algorithmic culture in religious contexts (2024) and comparative pandemic-war metaphor analysis (2025). His methodological approach combines qualitative discourse analysis with quantitative social network techniques, demonstrating versatility in research methods. The consistent thematic focus on religion's digital transformation, coupled with responsiveness to contemporary events like the pandemic and Ukrainian war, highlights both theoretical depth and practical relevance in his work. Dr. Sierocki maintains professional contact through his university email address (radoslaw.sierocki@uwm.edu.pl) and institutional phone number (89 524 65 90), indicating active participation in the academic community at University of Warmia and Mazury. His scholarly contributions appear in both Polish and international publications, reflecting engagement with academic discourse across linguistic contexts.

• Sociology of Religion
• Digital Religion
• Media Studies
• +۵ مورد دیگر

Dr hab. Krzysztof Węcel serves as Professor and current Head of the Department of Economic Informatics at Poznan University of Economics and Business (UEP), appointed on October 4, 2024. His primary affiliation spans over 25 years with UEP's Department of Economic Informatics, which maintains one of Poland's longest-running academic websites since 1998. He holds dual recognition through habilitation from University of Potsdam (2020) and professorship conferred by UEP (June 24, 2020). His academic milestones: Habilitation degree in Economic Informatics, University of Potsdam (2020) Professor title, Poznan University of Economics and Business (2020) Węcel's research centers on Semantic Technologies and data quality assessment across multilingual Wikipedia, with emphasis on company information verification, citation analysis, and open data applications. His work bridges Big Data analytics with practical business solutions, particularly in maritime logistics where he pioneered evolutionary algorithm-based AIS data processing. Current investigations focus on generative AI's dual role in creating and combating disinformation, including ChatGPT's impact on academic writing and fake news propagation. Recent publications (2022-2025) reveal three dominant trends: First, systematic analysis of Wikipedia's reliability across languages during crises like the pandemic and Ukraine war. Second, development of AI-driven fact-checking frameworks (e.g., OpenFact project's CLEF 2023 victory). Third, exploration of generative AI's societal impact ranging from student creativity to disinformation campaigns. Scientific awards received: Best Paper Award at ICIST 2017 Conference Award for most innovative article at NATCON 2018 conference Microsoft Azure for Research Award (2016) As academic advisor, he leads the 'Semantic Technologies' diploma seminar attracting high-achieving students, with participants winning the 29th UEP Foundation Competition (2025) and Eurostat's Web Intelligence Challenge (2024). His grant portfolio includes the 'Maritime Big Brother' project (2017) for ship voyage prediction using AIS data and Microsoft Azure funding for Wikipedia quality enhancement. Ongoing initiatives include OpenFact (fake news detection) and GOBLIN projects. He actively collaborates with SKN Data Science student circle (evidenced by 2024/2025 inaugural meeting) and international consortia like CLEF and QOD workshops. Departmental leadership involves managing the OpenFact research team that achieved top results in CheckThat! Lab competitions, alongside maritime data analytics groups applying evolutionary algorithms to shipping networks.

• Semantic Technologies
• Linked Open Data
• Big Data Analytics
• +۵ مورد دیگر

Dr. Andrzej Ożadowicz is a University Professor at the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His office is located in room 510, building C-1, with contact details including phone +48 12 617 50 11 and email ozadow@agh.edu.pl. He holds PhD, DSc, and Engineering degrees, reflecting his dual expertise in academic research and practical engineering applications. His research spans Power Electronics, Building Automation, Smart Grids, and IoT-driven energy systems. Key interests include energy efficiency optimization through digital twins and BIM, distributed energy resource integration , and AI-enhanced demand management . Notably, he pioneers applications of deep reinforcement learning in home energy systems and develops frameworks for Smart Readiness Indicator implementation. His work bridges theoretical innovation with practical case studies in building thermal modeling and dynamic façade systems. Recent publications (2021-2025) reveal three dominant trends: (1) Convergence of digital twin technology with building automation for real-time energy management; (2) Critical analysis of IoT security and interoperability in smart infrastructure; (3) Pedagogical innovations in engineering education through blended learning methodologies post-COVID-19. His scholarly output demonstrates consistent focus on energy transition challenges and smart grid evolution. Professor Ożadowicz actively contributes to the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies at AGH. He is instrumental in the AutBudNet initiative —a network of certified laboratories for energy efficiency assessment that implements "learning by doing" principles in building automation education. His work with this consortium emphasizes practical validation of smart grid technologies and demand response systems.

• Power Electronics
• Building Automation
• Smart Grids
• +۷ مورد دیگر

Damian Grela is a Lecturer in the Department of Automation and Computer Science at the Faculty of Electrical and Computer Engineering, Cracow University of Technology. His work spans two distinct research domains: software engineering (focusing on BPEL processes, web services, and fault injection testing) and environmental engineering (specializing in diatomite-based biogennic pollutant removal, rain gardens, and surface water quality monitoring).

• Software Engineering
• Computer Science
• Environmental Engineering
• +۴ مورد دیگر

Prof. Tadeusz Tyszka is a Full Professor and Director of the Center for Economic Psychology and Decision Research (Centrum Psychologii Ekonomicznej i Badań Decyzji ALK) at Kozminski University. His primary research interests include decision-making psychology, economic psychology, and behavioral economics. He has authored numerous books and articles, including Psychologiczne Pułapki Oceniania i Podejmowania Decyzji and Psychologia Zachowań Konsumenckich . He has held leadership roles in international scientific associations, such as the International Association for Research in Economic Psychology and the Division 9 (Economic Psychology) of the International Association of Applied Psychology. His research focuses on cognitive and emotional factors influencing risk perception, decision-making under uncertainty, and consumer behavior. Recent work examines how psychological biases affect choices related to insurance, disaster preparedness, and entrepreneurial risk-taking. Prof. Tyszka’s interdisciplinary approach bridges psychology, economics, and behavioral science to understand human decision processes in complex scenarios. He has contributed to debates on moral judgment, probabilistic reasoning, and the application of psychological principles to policy design. His publications span experimental studies, theoretical analyses, and critiques of literary and historical works through a psychological lens.

• Economic Psychology
• Decision-Making Psychology
• Risk Perception
• +۳ مورد دیگر

Monika Rosińska is an Assistant Professor at SWPS University's Faculty of Design in Warsaw, where she serves as Head of the Department of Design Theory and Research and as Dean's Representative for Interdisciplinarity. She is affiliated with both the Institute of Social Sciences and the Design Institute within the university. Her research focuses on the socio-cultural dimensions of design practices, with particular expertise in non-anthropocentric design, science and technology studies (STS), and critical/speculative design approaches. She investigates the history of design within political, social and cultural contexts, and examines the sociology of objects in everyday life. Dr. Rosińska explores why the creative process extends beyond form and function, pursues definitions of "good design," and investigates what matters to contemporary designers. Her scholarly work reveals consistent themes across publications, with recent research increasingly focused on multi-species communities and non-anthropocentric approaches to design. Her 2019 paper "Zoepolis: Non-anthropocentric design as an experiment in multi-species care" represents a significant contribution to this emerging field, building on earlier work exploring urban revitalization and participatory design. Dr. Rosińska has curated exhibitions including "Zoepolis. Design for Plants and Animals," which serves as both research output and practical exploration of her theoretical frameworks. Her publications span from foundational works on collective behaviors ("Deindywiduacja. Socjologia zachowań zbiorowych") to cutting-edge explorations of AI in visual arts (2025). She actively contributes to academic discourse through platforms including Google Scholar, ResearchGate, Academia.edu, and ORCID, maintaining visibility across multiple scholarly networks. Her work bridges sociology and design in innovative ways that challenge traditional disciplinary boundaries.

• Sociology of Design
• Non-anthropocentric Design
• Science and Technology Studies
• +۷ مورد دیگر

Adam Woźniak is a Professor and Vice-Rector for Development at Warsaw University of Technology (WUT), holding positions at the Faculty of Mechatronics and the Institute of Metrology and Biomedical Engineering. He earned a PhD in 2002, D.Sc. (habilitation) in 2011, and was promoted to full professor in 2017. His research focuses on advanced geometrical measurement techniques, coordinate metrology, quality engineering, and reliability of mechatronic systems. He has authored 2 books and over 130 scientific publications, including work on probing accuracy, X-ray CT applications, and dynamic error analysis in manufacturing systems. Notably, he served as Director of the Institute of Metrology and Biomedical Engineering (2012–2020) and later as Dean of the Faculty of Mechatronics (2020). He received the Polish Prime Minister’s Prize for Scientific Achievements (2012) and multiple scholarships from the Foundation for Polish Science. Education: PhD (2002), D.Sc. (2011), Warsaw University of Technology; Visiting Professor at École Polytechnique de Montréal (2005–2006). Research interests include coordinate measuring machine (CMM) performance, probing system accuracy, and industrial CT applications. His work addresses dynamic error identification, probe error compensation, and precision measurement techniques. Recent projects involve high-density point cloud correction, scanning probe validation, and pediatric growth measurement systems. His articles analyze topics like probe reliability, CNC machine tool errors, and X-ray CT threshold optimization. Awards also include recognition for leadership in standardization bodies, including roles in Poland’s Council for Metrology and Standardization. He has supervised 6 PhD students and numerous master’s candidates, contributing to over a dozen funded research projects. His lab, the Virtual Manufacturing Research Laboratory, integrates metrology, mechatronics, and biomedical engineering for advanced measurement solutions.

• Coordinate Metrology
• Mechanical Engineering
• Quality Engineering
• +۵ مورد دیگر

Leszek Ludwik Gawrysiak is a Professor at the Department of Geology, Soil Science, and Geoinformatics , affiliated with the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University in Lublin, Poland. His academic career includes habilitation in Earth and Environmental Sciences (2019), a PhD in Geomorphology (2003), and a master’s in Physical Geography (1993), all from UMCS. Education: Master’s in Physical Geography (1993), UMCS PhD in Geomorphology (2003), UMCS Habilitation in Earth and Environmental Sciences (2019), UMCS His research focuses on Geomorphology , Geomorphometry , and Geoinformatics , with applications in Loess Erosion , Gully Dynamics , and Environmental Risk Assessment . He employs GIS, LiDAR, and remote sensing techniques to analyze terrain segmentation, forest cover changes, and geomorphological impacts on land use planning. Projects include studies on extreme meteorological events, geopark development, and Polish-Belarusian-Ukrainian water policy in the Bug River basin. Recent publications emphasize Loess Landscapes , Proglacial Valley Morphology , and Gully Erosion , with methodological advancements in Digital Terrain Modeling and Geomorphon Analysis . His work bridges computational methods (e.g., GPU-accelerated topographic parameter evaluation) with field-based geomorphological studies in Svalbard and Eastern Europe. Scientific Awards: Award from the Polish Geomorphological Society for best PhD thesis (2002) Team Award from the Rector of UMCS (2010) Individual Award from the Rector of UMCS (2013) He has contributed to understanding Loess Area Geomorphodiversity , Forest Cover Dynamics , and Climate Change Impacts on landscapes. His collaborations span interdisciplinary studies in gully erosion, geotourism, and Holocene soil erosion rates. Contact: leszek.gawrysiak@mail.umcs.pl | Phone: +48 81 537 68 71

• Geomorphology
• Geomorphometry
• Geoinformatics
• +۶ مورد دیگر

Dr hab. Wojciech Janicki is a full Professor at the Institute of Social and Economic Geography and Spatial Management within the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. He serves as Director of the Institute and Head of the Department of Social and Economic Geography. Current affiliations: Governmental Council on Population (since 2024), Polish Academy of Sciences Committee on Demographic Sciences (since 2019), Polish Geopolitical Society Scientific Council (since 2024) Editorial role: Global Population Perspectives (since 2025) Research interests focus on political geography, demography, and regional development , with particular emphasis on migration studies, national/ethnic minorities, international border conflicts, and global population challenges. His work addresses demographic policy formation, migration management, and the socioeconomic impacts of population shifts in Eastern and Central-Eastern Europe. Recent publications demonstrate interdisciplinary engagement with migration policy implementation (2025), adaptive geofencing technology for transport security (2024), and demographic anxiety analysis through edited volumes (2024). Article trends show consistent focus on EU integration challenges, borderland development, and population policy contradictions. Scientific recognition includes: Governmental Council on Population membership Polish Academy of Sciences demography committee Editorial board of international journal Strategic advisory roles Advising involves directing research on migration legality frameworks, coal region transitions, and spatial management projects. Grants likely relate to EU cohesion policy and cross-border development initiatives given his publication patterns.

• Political Geography
• Demography
• Regional Development
• +۵ مورد دیگر

Rafał Biedrzycki is an Assistant Professor at The Institute of Computer Science within Warsaw University of Technology's Faculty of Electronics and Information Technology. His research focuses on optimization algorithms, evolutionary computation, and machine learning applications. He holds a PhD in Information Science (2009) and a D.Sc. (2024). Key research interests include evolutionary algorithms (e.g., Differential Evolution, CMA-ES), optimization techniques for real-world problems (e.g., compressor scheduling, optical networks), and algorithm benchmarking. He has contributed to improving constraint-handling methods and hybrid algorithm designs. Received team awards for scientific achievements from Warsaw University of Technology (2019, 2023) and teaching excellence (2021, 2024). Active in interdisciplinary projects, including the DAFNE initiative for data fusion systems (2010-2011). Supervises research in optimization, machine learning, and computational electromagnetics. His work bridges theoretical algorithm development with practical applications in engineering and data analysis. Recent efforts include analysis of CEC competition algorithms and parameter-tuning methodologies.

• Optimization Algorithms
• Evolutionary Algorithms
• Machine Learning
• +۴ مورد دیگر