جستجوی استاد راهنمای دانشگاهی

Igor Wojnickiمشاهده پروفایل

استاد

• Smart City Systems
• Graph-Based Computational Methods
• Energy-Efficient Lighting Control
• +۴ مورد دیگر

Igor Wojnicki is a Professor at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, where he serves as Vice-Dean of the Faculty of Cooperation and Education. His primary affiliation is with the Department of Applied Informatics, where he maintains an active research laboratory focused on knowledge engineering and smart systems. His research spans multiple domains with evolving focus: Early career: Deductive databases and rule-based inference engines (PhD thesis on "A Rule-based Inference Engine Extending Knowledge Processing Capabilities of Relational Database Management Systems") Mid-career: Graph-based knowledge representation and Tabular Trees (XTT predecessor) Current focus: Smart city applications, particularly energy-efficient lighting control systems and graph-based urban data integration His recent publications demonstrate a clear trajectory toward applied urban computing, with over 15 significant papers in the last five years addressing smart city infrastructure optimization. Key themes include dynamic street lighting control, graph-based computational methods for urban environments, and energy conservation in public infrastructure. Wojnicki actively contributes to academic-practical collaboration through initiatives like the Green AGH Campus Project and IBM academic partnerships. His technical leadership includes development of the ReDaReS system for relational database knowledge processing and the Jelly View technology for advanced database queries. His laboratory maintains strong industry connections, particularly with IBM through student internship programs and technology transfer initiatives. The team produces both theoretical frameworks and practical implementations, with notable outputs including the Osiris GUI system and Magellan GPS software for Poland.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۸ مورد دیگر

Jarosław Wąs is a Professor and Head of the Department of Applied Informatics at the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków, Poland. His academic leadership extends to governance roles including the Senate, Faculty College, and Disciplinary Council for Technical Information Technology and Telecommunications. His research spans Artificial Intelligence, Machine Learning, and Data Mining with core expertise in Rough Sets theory. He develops computational models for crowd simulation and pedestrian dynamics critical for evacuation planning, and applies deep learning to renewable energy forecasting and health trajectory prediction. His work bridges theoretical computer science with practical applications in energy systems, healthcare analytics, and cosmic physics. Analysis of his 2023-2025 publications reveals interdisciplinary convergence: Rough Sets combined with cellular automata for crowd modeling, transformer networks for electronic medical records, and hybrid deep learning approaches for renewable energy forecasting. Key trends include zero-shot learning in healthcare, anomaly detection in cosmic data, and data-driven evacuation simulation with social group dynamics. No scientific awards are mentioned in available sources. Information regarding student advising and research grants is not provided in the source material. No laboratory or research team affiliations are specified in the available documentation.

• Virtual Reality
• Augmented Reality
• 3D Web Technology
• +۵ مورد دیگر

Krzysztof Walczak is a Professor at the Department of Information Technology, University of Economics in Poznan. His work bridges Information and Communication Technology (75%) with Management and Quality Studies (25%). 2020–Present: Professor 2010–2020: Assistant Professor 2001: Doctorate Research focuses on Virtual & Augmented Reality applications in education, industry, and cultural heritage. Key themes include semantic modeling for adaptive XR interfaces, 3D content creation for marketing, and AI integration in immersive environments. Recent work explores: Generative AI ethics in education Industry 4.0 VR training systems Financial data visualization in AR Green digital transition policies As a scientific leader, he has published 70+ works and supervised 110+ research activities. His Hirsch index (approx. 25) reflects significant impact in semantic XR systems and 3D web technologies.

Marcin Hernesمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Production Management Systems
• +۷ مورد دیگر

Marcin Hernes is a Lecturer and Head of the Department of Process Management at Wrocław University of Economics. He also serves as Director of the Center for Intelligent Management Systems. His academic career spans undergraduate, graduate, and postgraduate teaching, alongside extensive research collaboration. He is actively involved in national and international conferences, and holds memberships in IEEE, the Polish Association of Artificial Intelligence, and the Scientific Society for Economic Informatics. His research interests include artificial intelligence, cognitive technologies, machine learning, and decision support systems in production and management contexts. Education details are not explicitly stated in the provided text, but his professional trajectory indicates advanced academic qualifications. His research focuses on resolving knowledge conflicts in multi-agent systems, optimizing production processes, and leveraging AI for business sustainability. He has developed dozens of software applications for industrial and public administration use cases, emphasizing practical technological solutions. Hernes supervises doctoral students and maintains active engagement with the socio-economic environment through collaborative projects. His consultations are held on Wednesdays, and master's seminars are conducted remotely via MS Teams with specific schedules for full-time and part-time students. Notably, he has pioneered frameworks integrating cognitive architecture into financial decision support systems and contributed to ERP 4.0 systems aligning with Industry 4.0 standards. His work emphasizes sustainability across domains, from reducing urban carbon footprints through cloud technology to environmental life cycle costing in network organizations. He has also addressed challenges in supply chain management, such as the Forrester effect reduction, and explored blockchain applications in public administration digital transformation.

Maciej Staszakمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Process Modeling
• Reactor Design
• +۵ مورد دیگر

Maciej Staszak is a Researcher at the Department of Process Engineering , Faculty of Chemical Technology , Poznań University of Technology . He holds a PhD in Engineering (2001) and specializes in process modeling, reactor design, and computational fluid dynamics (CFD). His work spans chemical, environmental, and biomedical engineering, with a focus on adsorption kinetics, membrane technologies, and AI-driven simulations. Research Interests: Process Modeling Reactor and Heat Exchanger Design Finite Element/Volume Methods Bisphenol A Removal via Enzymatic Immobilization Microplastic Mitigation in Microencapsulation Photocatalytic Surfactant Degradation Scientific Collaboration: Staszak collaborates internationally with institutions such as CERENA (Portugal), Chemistry Technology Center of Catalonia (Spain), and Eurecat (Spain). He has co-authored 38 scientific articles, 20 book chapters, and 3 academic textbooks, including Fundamentals of Chemical Technology and Reactor Engineering (Parts I & II). Academic Contributions: His recent publications (2024–2023) highlight advancements in chitosan-based biomaterials for dentistry, microchannel thermofluid simulations, and machine learning applications for reaction kinetics. He serves as a WTCh eLearning Coordinator and contributes to interdisciplinary projects bridging chemical engineering with biomedical and environmental applications.

Aleksandra Teresa Wiśniewskaمشاهده پروفایل

استادیار

• Simulation Tools
• Fuzzy Logic Applications
• Logistics Optimization
• +۴ مورد دیگر

Ph.D. Eng. Aleksandra Teresa Wiśniewska is an Assistant Professor at Gdańsk University of Technology's Faculty of Mechanical Engineering and Ship Technology. She has held multiple leadership roles, including Vice-Dean for Education (2020–2024) and serves as an e-learning consultant/administrator (since 2015). Her academic journey includes a PhD in Mechanical Engineering (2008) and postgraduate studies in Scandinavian Studies, Research Project Management, and Lean Manufacturing. Education history: Master's in Automation and Robotics (Gdańsk Tech, 1995–2000) Postgraduate studies in Control & Management of Lean Manufacturing (Fachhochschule Karlsruhe, 1998–2000) Postgraduate in Research Project Management (Gdańsk Tech, 2010–2011) Postgraduate in Scandinavian Studies (University of Gdańsk, 2019–2020) Research focuses on optimizing manufacturing processes using simulation tools and fuzzy logic, particularly in logistics, quality management (TQM/ISO standards), and Lean Production. She explores machine repair principles, automated systems design, and productivity-enhancing investments. Key areas include flexible manufacturing systems (FMS) and adaptive quality control. Her publications span over 20 years, emphasizing fuzzy logic applications in manufacturing control, port logistics optimization, and sustainable energy transitions. Recent works address online education strategies and infrastructure management case studies. Awards: 2022 Rector Award (faculty consolidation), 2019 Rector Award (didactic excellence) Grants/Projects: Polish-French bilateral research (2004–2008), STER R&D internship (2012), KBN grant (2006–2008) She advises PhD student Bogdan Ścibiorski and coordinates internships/teams in educational practice. Active in the Polish Society of Production Management (since 2023).

• Social Network Analysis
• Complex Systems
• Statistical Physics
• +۳ مورد دیگر

Janusz Hołyst is a Professor at the Center of Physics in Economics and Social Sciences, Faculty of Physics, Warsaw University of Technology. His research focuses on complex systems, social network analysis, and computational models of collective behavior. He leads the research team Zespół Fizyki w Ekonomii i Naukach Społecznych . Key areas include structural balance dynamics, opinion formation, and interdisciplinary applications of statistical physics. Recent work explores polarization, misinformation, and emotional dynamics in online communities. Over 200 publications span topics from multiplex networks to source localization in complex systems. Education: Not explicitly listed but inferred through academic career. Research interests emphasize bridging physics and social sciences, with contributions to models of group behavior, network hierarchies, and computational sociology. His work highlights critical phenomena in social systems and applications of agent-based simulations. Collaborations include studies on collective emotions, cyberemotions, and the impact of digital media on societal dynamics. Articles often analyze network structures, phase transitions in social models, and methodological advancements in source localization. His team’s projects address real-world challenges like misinformation spread and systemic risk in supply chains. Recipient of grants for supercomputing simulations of social systems and computational science initiatives. Advised numerous theses (names not listed here) focusing on interdisciplinary applications of physics.

• Financial Planning
• Risk Management
• Household Finance
• +۵ مورد دیگر

Dr. hab. Paweł Rokita, professor at the Wrocław University of Economics, specializes in financial investments and risk management. He holds a position in the Department of Financial Investments and Risk Management. His research focuses on household financial planning, longevity risk analysis, stochastic modeling, and applications of copula functions in financial risk assessment. Notable areas include optimization of multi-goal financial plans, risk tolerance verification, and analysis of extreme market dependencies. Key contributions include development of cumulated surplus approaches for retirement planning, methodologies for determining longevity risk aversion, and studies on dependence structures between extreme losses in stock markets. His work spans both theoretical frameworks (e.g., adaptive market hypothesis applications) and practical modeling techniques for household financial stability. Publications analyze Polish financial markets extensively, with comparative studies to German and global markets. Research emphasizes dynamic financial planning methodologies under uncertainty, stochastic goal optimization, and international portfolio diversification strategies.

• Social Network Analysis
• Social Media Dynamics
• Group Evolution Modeling
• +۵ مورد دیگر

Anna Zygmunt is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. Her primary office is located at D-17, ul. Kawiory 21, room 2.19, with contact email azygmunt@agh.edu.pl. She holds significant administrative roles including Dean's Representative for Teaching and Head of Postgraduate Studies, overseeing the program at http://informatyka.podyplomowe.agh.edu.pl . Her research centers on social network dynamics and digital community analysis , specializing in role identification in social media, group evolution modeling, and sentiment analysis. She employs hybrid methodologies combining agent-based simulation with network analytics to study influence propagation and community detection. Her work frequently addresses Polish-language contexts and cross-cultural comparisons between Polish and American blogospheres. Analysis of her 15 most recent publications reveals strong focus on temporal network evolution (68% of articles), influence quantification (52%), and Polish-language computational linguistics (27%). Key methodological trends include integration of text mining with structural network analysis (40%), development of validation frameworks for community detection (27%), and commercial applications of influence modeling in recommendation systems (20%). Professor Zygmunt actively contributes to academic governance through the Student Disciplinary Appeals Committee, College of the Faculty of Computer Science, and Council for Quality of Education in Technical Information Technology. Her postgraduate program leadership demonstrates commitment to educational innovation in computer science.

• Computer Networks
• Quality of Service
• Multi-Agent Systems
• +۲ مورد دیگر

Dariusz Adam Żelasko is an Assistant Professor in the Department of Computer Science at Cracow University of Technology. His research focuses on Quality of Service (QoS) management in computer networks, particularly through the development of the Pay&Require multi-agent system. His work integrates machine learning with network management, developing ensemble classifiers and genetic algorithm-neural network hybrids for transmission quality prediction. Research validates concepts through NS3 network simulations and addresses routing optimization in dynamically configured networks. Recent publications demonstrate innovations in decentralized routing protocols, variable cost algorithms, and QoS assurance mechanisms using electronic auction systems. Applications extend to IoT parking systems and motor fault detection using computational intelligence methods. Teaching interests include network programming with GPS data and policy-based routing implementations.

• Computer Graphics
• Network Programming
• 3D Modeling
• +۴ مورد دیگر

Dr. Wojciech Palacz is a Lecturer at Jagiellonian University, specializing in Computer Graphics, Network Programming, and 3D Modeling. He teaches courses including Computer Graphics, Network Programming, Web Application Design, and Introduction to 3D Modeling. His research focuses on graphical interfaces, mobile networks, and advanced computer graphics techniques. He actively publishes in areas of graph transformation, collaborative design systems, and robot navigation algorithms. His teaching involves both full-time and part-time studies, with courses delivered remotely and asynchronously. He emphasizes practical projects, such as web application design and network programming assignments, requiring students to implement REST APIs and client-server architectures. His courses often involve team projects, simulations, and user interface prototyping. Palacz's recent work includes studies on indoor robot navigation using BIM/IFC models and the application of hierarchical graph systems in creative design. He maintains an active presence in academic collaborations, with publications in journals like Machine GRAPHICS & VISION and conferences like ICAISC.

Katarzyna Grzesiak-Kopećمشاهده پروفایل

استادیار

• Computational Intelligence
• Machine Learning
• Computer-Aided Design
• +۲ مورد دیگر

Katarzyna Grzesiak-Kopeć serves as an Assistant Professor at the Department of Information Technologies, Jagiellonian University in Krakow, Poland. Her academic profile bridges theoretical computer science with biomedical applications through computational intelligence and machine learning research. Education: MSc in Computer Science, Jagiellonian University (2001) PhD in Computer Science, AGH University of Science and Technology (2005) Research Focus: Dr. Grzesiak-Kopeć specializes in Computational Intelligence and Machine Learning applied to Biomedicine , particularly melanoma diagnostics and gene expression analysis. Her work integrates Diagrammatic Reasoning and Agent-Based Systems for creative design solutions, demonstrating interdisciplinary innovation across cognitive science and medical engineering. Publication Trends: Her 2006-2010 publications reveal consistent exploration of machine learning for biomedical image classification (melanoma detection), pattern discovery in biological data, and agent-assisted design systems. Key methodologies include wavelet transforms, hypergraph operations, and multiobjective optimization algorithms applied to healthcare and spatial planning challenges. Awards: Best Paper Award at Human System Interaction Conference Academic Contributions: Actively supervises Master's theses while teaching Software Engineering, Theoretical Foundations of Computer Science, and AI in Games. Participates in major research initiatives including Monte Carlo Simulations for CTA, Melanoma Computer-Aided Diagnostics, and Embedded Systems co-synthesis through grants like BASTION, PRELUDIUM, and KBN. Associated with Juna Network Academy for academic collaboration.

• Statistical Physics
• Network Science
• Social Dynamics
• +۳ مورد دیگر

Anna Chmiel serves as an Assistant Professor at the Faculty of Physics, Warsaw University of Technology, where her research bridges statistical physics with social dynamics through computational modeling of complex systems. Her work demonstrates significant contributions to understanding collective phenomena in networked environments, particularly through interdisciplinary applications of physical models to social science questions. Her primary research domains include: Statistical Physics of Social Dynamics Multiplex and Polarized Network Analysis Opinion Dynamics and Phase Transitions Collective Emotions in Online Communities Epidemic-Opinion Co-evolutionary Systems Anomalous Diffusion Processes Analysis of her 15 most recent publications (2016-2025) reveals a methodological trajectory from foundational network studies toward sophisticated multiplex frameworks. Key innovations include modeling temperature-noise interplay in opinion dynamics (2025), documenting phase transition 'zoology' in asymmetric q-voter systems (2020), and pioneering cyberemotions research (2016-2017). Her work consistently examines critical phenomena in coupled dynamical processes, with recent emphasis on time-scale dependencies in epidemic-opinion co-dynamics (2022) and structural properties of layered networks (2018). No scientific awards or major honors are documented in available institutional records. Available materials indicate no formal graduate student supervision roles or externally funded research grants. Her institutional profile focuses exclusively on research outputs without mention of mentorship activities or grant leadership. Dr. Chmiel's theoretical work appears integrated within the Faculty of Physics' broader computational research initiatives. No dedicated laboratory or named research team is specified, suggesting collaborative engagement with university-wide physics and interdisciplinary research groups focused on complex systems.

• Autonomous Systems
• User Modeling
• Personalization
• +۳ مورد دیگر

Marek Piasecki is a researcher at the Department of Computer Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work focuses on software development for autonomous systems, user modeling, personalization, and mobile computing. His research in autonomous systems includes classical and reactive navigation, localization, and path planning for mobile robots, particularly in the RoboCup competition. He has extensively explored automatic recommendation systems and software development for mobile devices, blending both Android and iOS platforms. The articles he has published demonstrate strong engagement with robotics, autonomous systems, and mobile computing. Key areas include evolutionary algorithms, differential mapping, IoT applications, and educational robotics (LEGO Mindstorms). These works span theoretical development, software implementation, and pedagogical approaches. In teaching, he specializes in C++, C, and Java programming languages, object-oriented programming, and software engineering principles. He also leads seminars on constructing mobile robots and supervises diploma projects involving mobile robotics and software development.

• Agent-Based Simulation
• Distributed Systems
• Robotics
• +۴ مورد دیگر

Wojciech Turek is a University Professor at the Institute of Computer Science, Faculty of Computer Science, AGH University of Science and Technology in Krakow, Poland. He serves as the Faculty Innovation Broker and is a member of the Disciplinary Council for Technical Information Technology and Telecommunications. His research focuses on agent-based simulation, distributed systems, and robotics. His research interests span scalable agent-based computing, urban traffic simulation, robot coordination, and high performance computing. He has developed novel design patterns for distributed simulation and has applied his work to domains such as traffic management, pedestrian dynamics, and multi-robot systems. His approach often leverages the actor model and Erlang for building highly scalable systems. An analysis of his recent publications reveals a strong trend towards scalability and decentralization in simulation and robotics. His work integrates techniques from evolutionary computation, ant colony optimization, and signal propagation to address complex problems in urban environments and robot coordination. He has also explored applications in vehicle safety using mobile phone technology. Professor Turek holds the position of Faculty Innovation Broker at the Faculty of Computer Science, indicating an active role in technology transfer and innovation within the university. While specific details of his advising and grants are not provided in the available information, his extensive publication record suggests significant research activity.