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Igor WojnickiView profile

Professor

• Smart City Systems
• Graph-Based Computational Methods
• Energy-Efficient Lighting Control
• +4 more

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
• +8 more

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
• +5 more

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.

Jarosław SwaczynaView profile

Assistant Professor

• Functional Analysis
• Set Theory
• Fractal Geometry
• +3 more

Jarosław Swaczyna is an Assistant Professor at the Division of Applications of Contemporary Mathematical Analysis , Lodz University of Technology. His research spans functional analysis, set theory, fractal geometry, and mathematical logic. Research Interests: His work focuses on the intersection of infinite-dimensional spaces, probabilistic combinatorics, and topological properties of Polish groups. He investigates generalized iterated function systems, density ideals, and continuity of functionals in Banach spaces. Publications Trends: Recent contributions include probabilistic models for random graphs, structural properties of Hamel bases, and topological dynamics of fractal attractors. Earlier works explore density ideals, Cantor sets, and generalized IFSs. Contact: Email: jaroslaw.swaczyna@p.lodz.pl Phone: (+48) 42 631-38-51 Room: 154

• Business Process Modeling
• Ontology in Legal Systems
• Legal Knowledge Management
• +5 more

Andrzej Greńczuk is an Assistant at the Department of Business Intelligence in Management at Wrocław University of Economics. He holds a Master's degree in Administration from the University of Wrocław (2007-2017), a Bachelor's in Business Computer Science from UEW (2014-2017), and a Master's in UEW (2020-2022). He is currently pursuing a PhD at UEW's Doctoral School since 2022. His primary roles include academic support and research in legal informatics and AI-driven knowledge systems. Education Pathway: Bachelor's in Administration (Local Government), 2004-2007 Long-cycle Law, Administration & Economics program (University of Wrocław), 2007-2017 Bachelor's in Business Computer Science (UEW), 2014-2017 Master's in UEW (supervised by Dr. Iwona Chomiak-Orsa), 2020-2022 PhD Candidate at UEW Doctoral School since 2022 Research focuses on legal informatics, ontology-based systems, AI in legal processes, semantic networks, and ICT applications in judiciary and smart city management. Key themes include knowledge management systems, process modeling (BPMN/UML), and visualization tools for legal data. Recent publications (2022–2024) emphasize AI-driven solutions for legal translation, knowledge base creation via LLM/RAG architectures, and semantic networks in problem categorization. He also explores ICT in smart city infrastructure and renewable energy systems. Collaboration with socio-economic entities: Open to partnerships aligning with his research in legal tech, AI applications, and smart urban systems. Proficient in English and Polish.

Piotr NapieralskiView profile

Associate Professor

• Computer Graphics
• Virtual Reality
• Computer Games
• +7 more

Piotr Napieralski serves as Associate Professor and Head of the Computer Graphics and Multimedia Department at Lodz University of Technology's Institute of Computer Science, where he has maintained continuous academic employment since 2000. His institutional leadership and research activities position him as a key figure in Poland's computer graphics research community. His research program centers on computer graphics, virtual reality, and game development with significant extensions into mobile systems and human-computer interaction. Core specialties include 3D graphics programming, computer animation, simulation/visualization techniques, and user interface design. Recent work increasingly integrates artificial intelligence methodologies while maintaining strong foundations in geometric algorithms and real-time rendering systems. Analysis of his 2021-2025 publications reveals a dual trajectory: continued innovation in graphics fundamentals (stereo vision consistency, 3D point cloud segmentation, procedural content generation) alongside strategic expansion into interdisciplinary applications including power electronics (solid-state transformers), transportation optimization (AI-driven ecodriving), and behavioral science (eating behaviors, mineral policy). This reflects deliberate diversification while preserving computer graphics as the unifying thread. Dr. Napieralski actively secures research funding through participation in numerous EU-funded projects and serves as a long-term expert for Poland's National Centre for Research and Development (NCBR). His teaching responsibilities include computer graphics instruction for both Polish and international students, though specific student mentorship details are not documented in available sources. As department head, he oversees research directions and educational programs in graphics, games, and multimedia technologies. His leadership fosters collaboration between theoretical computer science and practical industrial applications, particularly in virtual reality systems and mobile gaming platforms where his publications demonstrate consistent output.

Zhao XinView profile

Researcher

• Natural Language Processing
• Domain Adaptation
• Knowledge Representation
• +3 more

Zhao Xin is a dedicated researcher at the Language Technology Group (LLMC) within National Institute of Informatics, focusing on Natural Language Processing and Knowledge Representation. His academic journey includes a Doctoral Courser at The University of Tokyo, a Master Courser at Nara Institute of Science and Technology, and a Bachelor’s in Japanese at Xi'an Jiaotong University. Education: Doctoral Courser (2023–2026), Information Science and Technology, The University of Tokyo Master Courser (2018–2020), Computer Science, Nara Institute of Science and Technology Bachelor Courser (2013–2017), Foreign Languages and Literatures, Xi'an Jiaotong University His research interests span Natural Language Processing , Domain Adaptation , Cross-lingual Transfer , Model Interpretability , and Semantic Search . Recent projects include analyzing neuron-level controllability in language models and cross-lingual knowledge transfer for Japanese NLP tasks. Zhao’s publications (2024–2025) emphasize fact knowledge evaluation , neuron activation analysis , and cross-lingual entity alignment . He received the Young Investigator Award for his work on multilingual knowledge tracing. Proficient in Japanese and English , Zhao contributes to tools like llm-jp-eval and Megatron-LM , with expertise in LLM pre-training , domain adaptation , and Python/Machine Learning frameworks.

• Computer Graphics
• Network Programming
• 3D Modeling
• +4 more

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-KopećView profile

Assistant Professor

• Computational Intelligence
• Machine Learning
• Computer-Aided Design
• +2 more

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.

• Graph Theory
• Algorithms
• Discrete Geometry
• +3 more

Bartosz Walczak is a Professor in the Department of Algorithmics at the Faculty of Mathematics and Computer Science, Jagiellonian University in Kraków, Poland. His research focuses on Graph Theory, Algorithms, and Discrete Geometry, with a strong emphasis on structural and algorithmic aspects of graphs and their geometric representations. Education and Positions: MSc in Computer Science (2008), Jagiellonian University PhD in Computer Science (2012), Jagiellonian University Postdoctoral Fellowship (2013–2014), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland Visiting Assistant Professor (2014–2015), Georgia Institute of Technology, USA Habilitation in Computer Science (2017), Jagiellonian University Gastprofessor (2017–2018), Technische Universität Berlin, Germany Research Interests: Graph Coloring and χ-boundedness Geometric Intersection Graphs Combinatorial Geometry and Algorithms Graph Algorithms and Complexity Key Achievements: Recipient of the Best Paper Award at WG 2025 for work on Burling graphs Pioneering contributions to solving Ringel's circle problem Advances in separator theorems for planar hyperbolic graphs Labs/Teams: Active member of the Algorithmics Research Group, collaborating with international institutions such as EPFL, Georgia Tech, and TU Berlin.

Marcin PietranikView profile

Assistant Professor

• Ontology Alignment and Evolution
• Semantic Web Technologies
• Fuzzy Logic Applications
• +3 more

Marcin Pietranik is an Assistant Professor at the Department of Applied Informatics within the Faculty of Information and Communication Technology at Wroclaw University of Technlogy . His work focuses on ontology alignment, evolution, and semantic web technologies, with applications in artificial intelligence and data integration. Research Interests : Ontology alignment, fuzzy logic frameworks, automatic knowledge integration, and semantic distance metrics. Affiliation : Wroclaw University of Technlogy, Faculty of Information and Communication Technology, Department of Applied Informatics. Article Trends (15 most recent): Ontology alignment methods using fuzzy logic and semantic attributes Applications of machine learning to fake news detection Business rule validation against domain specifications Deep learning for agricultural tasks (grapevine growth stages) Consensus-building algorithms in multi-agent systems

Lyudmyla KirichenkoView profile

Assistant Professor

• Machine Learning
• Time Series Analysis
• Data Mining
• +4 more

Dr. Lyudmyla Kirichenko serves as a Research and Teaching Assistant Professor in the Insurance and Capital Markets Department at Lodz University of Technology, Poland. Her academic profile includes active research publication through 2025, with contact details listing room 167 and email lyudmyla.kirichenko@p.lodz.pl. She maintains collaborative research ties with institutions in Ukraine and international conferences. Her research spans Machine Learning, Time Series Analysis, and Cybersecurity with specialized focus on fractal dynamics and computational finance applications. She develops advanced methodologies including wavelet transforms, recurrence plots, and LSTM autoencoders for classifying complex time series data. Her work bridges theoretical computer science with practical implementations in intrusion detection systems, financial market analysis, and computer vision security applications. The departmental affiliation with Insurance and Capital Markets indicates applied research directions in e-commerce forecasting and risk modeling. Analysis of her 15 most recent publications (2022-2025) reveals dominant trends in machine learning classification of fractal time series, with increasing interdisciplinary applications. Her 2023-2025 work shows expansion into public health modeling (respiratory infections in conflict zones) and crisis response optimization, while maintaining core expertise in wavelet-based feature extraction and neural network approaches for time series problems. The publications demonstrate consistent methodological innovation across computer science, physics, and operations research domains. Scientific Awards No scientific awards were documented in the provided materials Advising and grant activities cannot be confirmed from the available information. The publication record indicates extensive collaboration with Ukrainian researchers including Tamara Radivilova and Sergiy Yakovlev, but no student supervision or funding details are specified. Her research appears supported through institutional affiliations and conference participations. Laboratory resources or dedicated research teams are not explicitly described, though her methodology-focused publications suggest computational laboratory work involving machine learning frameworks and signal processing tools. The departmental context implies integration with financial data analysis infrastructure.

• Petri Nets
• Control Systems
• Concurrency Analysis
• +3 more

Andrei Karatkevich, PhD, DSc, Eng., is a Professor at the Department of Applied Informatics , within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His research focuses on Petri nets , control systems , and concurrency analysis in manufacturing and cyber-physical systems. His work includes systematic studies on deadlock detection and recovery , state machine decomposition , and formal verification of concurrent systems. Articles emphasize applications in flexible manufacturing , embedded control , and real-time systems , with methodological contributions to SM-covers , reachability graph optimization , and logic controller synthesis .

• Cryptography
• Computer Science
• High-Performance Computing (HPC)
• +3 more

Dr. Michał Klisowski is a Lecturer at the Fundacja Uniwersytetu Marii Curie-Skłodowskiej , affiliated with the Faculty of Mathematics, Physics and Computer Science and the Department of Information Systems Software . His research focuses on cryptography, high-performance computing, and media truth detection. Research Highlights: Cryptographic protocols, energy-efficient computation, media credibility analysis Email: michal.klisowski@mail.umcs.pl His recent publications address topics such as multicore key exchange protocols , RAPL power monitoring , and fake news detection using machine learning. He holds an ORCID identifier and has published in information and communication technology domains. Collaboration & Tools: Utilizes ORCID and Scopus for academic visibility, with a focus on integrating theoretical cryptography with practical computational efficiency.

• Topological Dynamical Systems
• Ergodic Theory
• Classical and Quantum Stochastic Processes
• +3 more

Artur Siemaszko is a Professor in the Faculty of Mathematics and Computer Science at the University of Warmia and Mazury in Olsztyn. He serves as a promoter for doctoral candidates and specializes in topological dynamical systems, ergodic theory, and classical/quantum stochastic processes. Department: Department of Analysis and Differential Equations Email: artur@uwm.edu.pl Research Interests: Topological Dynamical Systems Ergodic Theory Classical and Quantum Stochastic Processes Group Theory (Modular Groups) Scientific Contributions: His research spans integrability in geometric structures, spectral quantization of random walks, and the interplay between algebraic and topological properties in dynamical systems. Articles highlight applications in mathematical physics, computer science, and epidemiology. Grants & Resources: He confirms funding availability and infrastructure support for doctoral projects through the Department of Analysis and Differential Equations.