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.
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.
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.
Filip Sondej is a Researcher at the Department of Cognitive Science within the Faculty of Philosophy at Jagiellonian University in Krakow, Poland. His work bridges cognitive science and artificial intelligence, focusing on critical safety aspects of modern language models and multi-agent systems. His primary research interests include AI safety, LLM unlearning techniques, Chain-of-Thought faithfulness, AI conflict resolution, and digital sentience. Sondej's work addresses fundamental challenges in ensuring that increasingly powerful language models behave safely and align with human values. Analysis of Sondej's publication record reveals a strong interdisciplinary focus combining cognitive neuroscience methodologies with AI safety research. His recent work demonstrates a clear trajectory from traditional cognitive neuroscience investigations toward cutting-edge AI safety mechanisms, particularly in developing methods for removing unsafe behaviors from language models while maintaining functionality. The publications show sophisticated integration of neural network analysis with human cognitive processes. Sondej collaborates extensively with researchers including Anna Grabowska and Magdalena Senderecka, appearing as co-author on multiple publications in high-impact journals such as NeuroImage, Cerebral Cortex, and Journal of Cognitive Neuroscience. His research program bridges theoretical cognitive science with practical AI safety applications.
Konrad Kowalczyk is an Associate Professor at AGH University of Science and Technology in Krakow, Poland, where he heads the Signal Processing Group within the Faculty of Computer Science, Electronics and Telecommunications. With extensive international experience from institutions including Queen's University Belfast, Stanford University, and Fraunhofer Institute, he has established himself as a leading researcher in audio and speech signal processing. His academic journey includes B.Eng. and M.Sc. degrees from AGH University (2005), a Ph.D. from Queen's University Belfast (2009), and a Habilitation in ICT from AGH University (2020). B.Eng. and M.Sc. in Electronics and Telecommunications, AGH University of Krakow (2005) Ph.D. in Electronics, Queen's University Belfast, UK (2009) Habilitation (D.Sc.) in Information and Communication Technology, AGH University of Krakow (2020) Kowalczyk's research spans multiple cutting-edge areas in audio processing, with particular focus on speech and audio signal processing enhanced by machine learning techniques. His work integrates deep neural networks with traditional signal processing methods to address challenges in array signal processing , speech enhancement , and speaker recognition . The research group he leads explores innovative applications in distributed signal processing for IoT , acoustic event detection , and spatial audio rendering , bridging theoretical advances with practical implementations. His recent publications demonstrate a clear trend toward integrating deep learning with traditional signal processing techniques, particularly in speaker diarization, source separation, and robust speech recognition. The research increasingly focuses on real-world applications requiring reverberation-robust processing , distributed microphone array systems , and end-to-end neural architectures that can operate in challenging acoustic environments. There's a noticeable shift toward more complex, integrated systems that combine multiple signal processing tasks. Stanislaw Staszic Medal for best graduate of AGH (2005) IEEE Best Student Paper Contest finalist (2007) AES Student Technical Paper Award winner (2008) Best Student Paper Award at IWAENC conference (2014) Best Paper Awards at IEEE SPA conferences (2016, 2019) Polish Ministry of Science Scholarship for Distinguished Young Scientists (2016-2019) Prime Minister Award for outstanding scientific achievements (2020) As Principal Investigator, Kowalczyk leads multiple significant research projects including "Acoustic Intelligence" (2024-2028) funded by National Science Center, and "Deep extraction for robust speech recognition" (2023-2028). He has successfully secured funding from prestigious programs including First TEAM from the Foundation for Polish Science, and EU FP7 projects. His research group actively supervises Ph.D., M.Sc., and B.Eng. students, with strong connections to international institutions including Aalto University and IEEE Signal Processing Society. The research output includes numerous journal publications, conference papers, patents, and software implementations that have advanced the field of audio signal processing. Kowalczyk leads the Signal Processing Group at AGH University, which focuses on developing innovative solutions for speech and audio processing challenges. The group maintains strong collaborations with international institutions including Aalto University (Finland), and participates in European research initiatives. Their work spans theoretical development through practical implementation, with applications ranging from medical voice assistants to distributed acoustic sensor networks.
Włodzimierz Kasprzak is a Professor at the Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology. His research focuses on computer vision, robotics, human-computer interaction, and machine learning. He has contributed to advancements in human action classification, skeleton-based feature analysis, and multimodal interface design. Research Highlights: Development of lightweight classification models for human actions in video using skeleton-based features. Advances in multi-stream fusion techniques for image and video analysis. Design of embodied agent systems for cybersecurity event visualization and control. Awards and Recognition: 2024: Individual First Class Rector's Award for Scientific Achievements (2022-2023) 2021: Medal of the Commission of National Education 2011: Golden Cross of Merit His work integrates theoretical contributions with practical applications in robotics, surveillance systems, and human-centered technologies.
Szymon Płotka is a Researcher in the Medical Imaging and Robotics department at the University of Amsterdam's Informatics Institute. His work focuses on advancing prenatal care through deep learning, particularly in fetal ultrasound analysis and AI-driven medical solutions. He holds a PhD in Computer Science from the University of Amsterdam (2024), with a thesis on enhancing prenatal care via machine learning. Research Interests : Integration of deep learning techniques for medical image analysis Development of AI tools for diagnostic accuracy and clinical workflow optimization Multimodal data fusion in healthcare Real-time surgical imaging applications Recent work emphasizes fetal biometry measurements, endoscopic synthetic datasets, and real-time placental vessel segmentation. His research bridges cutting-edge AI with clinical practice, aiming to improve accessibility and efficiency in medical imaging. Key Contributions : Advances in fetal ultrasound video analysis matching human expert accuracy Pioneering synthetic endoscopic dataset generation with diffusion models Development of BabyNet++ for birth weight prediction No formal students listed, but his projects likely involve collaborations with academic teams. Active in organizing and participating in medical imaging challenges (e.g., FeTA, FetReg).
Ireneusz Winnicki is a **Full Professor** at the **Military University of Technology**, affiliated with the **Faculty of Civil Engineering, Geodesy and Transport**. His research focuses on **meteorological modeling**, **numerical methods**, **remote sensing**, and **applied mathematics**, with applications in transport safety and environmental monitoring. **Research Interests**: He specializes in advanced numerical techniques for solving nonlinear systems (e.g., Newton’s method), high-order differential equation modeling (Beam–Warming, Lax-Wendroff), and radar-based precipitation intensity analysis. His work integrates atmospheric dynamics, image processing (Laplace contour filters), and parallel computing for weather forecasting and hazard prediction. **Collaborations and Impact**: He has extensive collaborations, notably with **Sławomir Pietrek** (14 joint publications). His research addresses critical challenges like frontogenesis/frontolysis modeling, MODIS satellite data analysis for visibility prediction, and urban development cartography in protected areas. **Awards and Recognition**: No scientific awards are explicitly mentioned in the provided texts. **Advising and Grants**: No advised students or specific grants are listed, though his work suggests involvement in research projects related to meteorological radar systems and numerical modeling.
Renata Walczak is a Professor at Warsaw University of Technology (since 2014), serving as Dean of the Faculty of Civil Engineering, Mechanics and Petrochemistry and Vice-Rector for Branch in Plock. She holds a habilitation degree in Agricultural Engineering (2009) and has been with the university since 1987. Her academic roles include leading postgraduate programs in Project Management and Technical Diagnostics, and she has organized interdisciplinary studies collaborating with multiple universities and industries. Her research focuses on production engineering, project management, business analysis, logistics, and IoT applications in healthcare and urban systems. Notable contributions include over 70 publications, including key works like Fundamentals of Project Management (2014) and Selected Methods of Planning and Control of Projects (2013). She has also been recognized for leadership in international educational programs and Erasmus collaborations. Education: Graduated in Environmental Engineering (1995), followed by postgraduate studies in Management, Accounting, and Technology Commercialization. Leadership Roles: Director of the College of Economic and Social Sciences (2012–2016), Vice-Rector’s Representative for International Programs (1995–2012). Awards: Multiple honors for academic and administrative contributions, though specific awards are not listed. Collaborations: Partnered with institutions like PKN Orlen, Bruel & Kjaer, and universities in Denmark, the US, and across Poland. Recent work includes studies on telemedicine adoption during the pandemic, IoT-driven urban planning, and energy transition strategies. Her publications reflect a blend of theoretical frameworks and applied research in healthcare systems, industrial management, and digital transformation.
Professor Emanuel Gull is a theoretical physicist specializing in numerical methods for quantum many-body systems. He holds a professorship at the University of Warsaw's Faculty of Physics, where he relocated his laboratory from the University of Michigan to conduct research under an ERC Advanced Grant. His work focuses on predictive algorithms for simulating quantum materials, integrating quantum field theory, condensed matter theory, quantum Monte Carlo methods, applied mathematics, and machine learning. This interdisciplinary approach addresses phenomena like magnetism and superconductivity in materials critical to technologies such as MRI machines and electric car batteries. Professor Gull's ERC Advanced Grant, the first awarded to a foreign researcher hosted at the University of Warsaw, underscores the significance of his project. Collaborating with the Quantum Molecular Systems group at the Faculty, his methods support experimental advancements in ultracold matter research. His research aligns with the University's strategic focus on cutting-edge interdisciplinary science. His achievements include the prestigious ERC Advanced Grant, highlighting global recognition of his contributions. The project’s relocation of his laboratory reflects Warsaw's growing role as a hub for quantum research. Grants and institutional support from the University of Warsaw's BMPB office further enable his work, emphasizing collaboration and innovation. Professor Gull's research lab, now based in Warsaw, bridges theoretical and applied physics, fostering advancements in quantum technologies. His work exemplifies the intersection of fundamental science and technological application, with direct implications for energy storage and medical imaging technologies.
Olga Dębicka is a Lecturer at the University of Gdańsk's Faculty of Economics, specializing in digital business transformation within the Department of Maritime Transport and Trade. She researches e-commerce strategies, consumer behavior in digital markets, and technology-enhanced education, with recent focus on pandemic-era ICT adoption in higher education. Her interdisciplinary work connects three domains: 1) socio-technical analysis of e-commerce innovations (consumer decision-making, cloud solutions), 2) sustainable business practices in transport/tourism, and 3) pedagogical applications of digital tools. Recent publications examine generational differences in Polish e-commerce (2018), cloud-based SaaS models (2016), and pandemic teaching adaptations (2023). As project contributor, she co-developed the InCompEdu initiative (2023) for digital teaching competencies and analyzed EU cross-border e-commerce frameworks. She conducts tutorials on monetizing online presence and integrating Cialdini's influence principles in digital business contexts.
Adrian Widłak is a Teaching Assistant at the Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology. His research focuses on information and communication technology (ICT) with specialization in point cloud analysis, visibility mapping, and network security. Specializes in LIDAR technology and Digital Surface Model (DSM) processing for viewshed generation Conducts research in big data algorithms, cryptography, and artificial intelligence Active in edge computing optimization and intelligent transportation systems His work spans multiple interdisciplinary domains including environmental monitoring, biomedical applications, and blockchain security. Recent publications demonstrate a focus on: 3D spatial analysis techniques using point cloud data Machine learning applications in ecological modeling Cybersecurity challenges in modern network architectures Optimization of edge computing infrastructures Blockchain consensus mechanisms and security frameworks
Agnieszka Jędrzejewska is a researcher at the Department of Structural Engineering , Faculty of Civil Engineering , Silesian University of Technology , Poland. She specializes in the analysis of cracking in concrete structures due to thermal, shrinkage, and imposed strains, with a focus on sustainability and robustness of cement-based materials. Research Interests : Thermal cracking, early-age concrete behavior, sustainable materials (e.g., self-healing concrete, 3D-printed mortar), numerical modeling, crack prevention techniques. Awards : Recipient of the Scientific Award of the 4th Division of the Polish Academy of Sciences (2024) for her series of works on 'Cracking of Special Structures Under the Action of Imposed Deformations.' Her recent publications highlight interdisciplinary approaches to improving concrete sustainability (e.g., alccofine 1203, GGBS, kaolin) and advancing computational models for crack prediction. She contributes to standardization efforts (e.g., prEN 1992-1-1) and collaborates on international projects (e.g., RILEM TC 287-CCS, COST TU1404).
Łukasz Kruk is a University Professor and Head of the Department of Applied Mathematics at the Faculty of Mathematics, Physics and Computer Science, Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. His research primarily focuses on queueing theory, stochastic processes, and operations research with applications to resource allocation and scheduling algorithms. Dr. Kruk's research spans multiple areas within applied mathematics, with particular emphasis on: Queueing theory and performance analysis of scheduling algorithms Fluid and diffusion limits for queueing networks Resource sharing networks and stability analysis Stochastic control problems and optimization Real-time scheduling policies including EDF, SRPT, and LRTF His most recent publications reveal a strong focus on fluid models for queueing networks, stability analysis of various scheduling policies, and singular stochastic control problems. Dr. Kruk has published extensively on the mathematical properties of queueing systems, particularly examining minimality conditions, edge minimality, and instability phenomena in complex networks with resource sharing. Dr. Kruk has accumulated 35 publications with significant impact in his field, as evidenced by his h-index of 10 (Google Scholar), 7 (Web of Science), and 2 (Scopus). His work bridges theoretical mathematics with practical applications in computer systems, telecommunications, and operations management. As Head of the Department of Applied Mathematics, Dr. Kruk oversees academic activities and research initiatives while maintaining an active research program. His consultation hours are Tuesdays from 10-12, and he can be contacted via email at lukasz.kruk@mail.umcs.pl or by phone at (081) 537 6115.
Marek Kojdecki is a Professor at the Military University of Technology, specializing in materials engineering with a focus on crystalline microstructure analysis, liquid crystals, and advanced material characterization. His work bridges applied physics and materials science, particularly in semiconductor materials, nanomaterials, and ceramic composites. He has published over 100 peer-reviewed articles, supervised 1 promoted thesis, and led 6 research projects. His research employs cutting-edge techniques such as X-ray diffraction, mobility spectrum analysis, and composite method measurements. Key achievements include studies on mullite microstructure in ceramics, quantum transport in topological heterojunctions, and optical properties of liquid crystals. Research Interests: Liquid crystal dynamics, nanocrystalline materials, semiconductor epilayers, X-ray diffraction modeling, and material characterization. Technical Expertise: Advanced microscopy, thin film fabrication, and computational material modeling. His work has contributed to advancements in electronic materials, optoelectronic devices, and ceramic processing technologies. Notable methods developed include the complementary interference wedge method for liquid crystal analysis and regularization techniques for inverse problems in material characterization.
