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.
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.
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.
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.
Milena Stróżyna is an Assistant Professor at the Department of Economic Informatics in the University of Economics in Poznan , Poland. Her work focuses on data modeling, AI applications in disinformation detection, and maritime data analysis . Email: milena.strozyna@ue.poznan.pl Research interests span: Data Modeling & Analysis : Extracting insights from diverse data sources, ensuring quality, and implementing ERP systems Disinformation Studies : Developing AI tools for fake news detection and semantic mapping of misinformation topics Maritime Data Science : Crisis impact analysis in shipping, anomaly detection in maritime transport Scientific Contributions include: Pioneering OpenFact system for information verification Creating adversarial text detection methods Leading research on generative AI risks in information integrity Notable Awards : 2018: Most innovative article at NATCON conference Multiple first-place international competition wins with OpenFact system (2022-2024)
Dr. Eng. Katarzyna Jasińska is affiliated with the Department of Management and Entrepreneurship at Wrocław University of Economics. Her work focuses on Industry 4.0, ICT sector dynamics, project management, and digital transformation. She has conducted extensive research on topics such as robotic process automation (RPA), AI implementation, and organizational adaptation to technological changes. Her research interests span across: Industry 4.0 adoption and its implications for businesses Digital transformation challenges in service and manufacturing sectors Project management methodologies in ICT enterprises RPA and AI integration in organizational processes Key contributions include case studies analyzing Polish companies' adaptation to Industry 4.0 post-pandemic challenges, cybersecurity frameworks, and innovative project management approaches. Her work emphasizes bridging the gap between technological innovation and practical implementation in real-world business contexts.
Professor Daniel Gryko leads a prominent research group at the Institute of Organic Chemistry, Polish Academy of Sciences, specializing in advanced functional dyes and photochemistry. His work bridges fundamental organic synthesis with practical applications in bioimaging, molecular electronics, and nanomaterials. With over 150 publications and numerous high-impact grants, including an ERC Advanced Grant and multiple Horizon Europe projects, Gryko has established himself as a leader in the field of novel chromophore design. Gryko's research focuses on developing innovative fluorescent dyes with exceptional photophysical properties, particularly exploring fluorescence of nitroaromatics, two-photon absorption phenomena, and excited-state intramolecular proton transfer (ESIPT). His group specializes in several key structural platforms including corroles, diketopyrrolopyrroles, pyrrolo[3,2-b]pyrroles, dipyrrolonaphthyridinediones, porphyrins, and coumarins. Recent work has centered on creating strongly emitting helicenes, quadrupolar dyes with unique symmetry-breaking properties, and developing specialized fluorophores for super-resolution microscopy applications. Analysis of Gryko's recent publications reveals a strong emphasis on molecular design strategies for controlling photophysical behavior. His group frequently employs π-expansion techniques, heteroatom doping, and strategic substitution patterns to tune emission properties. A significant portion of their work focuses on overcoming traditional limitations in fluorophore design, such as the non-fluorescence of nitroaromatics, through innovative molecular architectures. Gryko has received prestigious recognition including an ERC Advanced Grant for the ARCHIMEDES project targeting NIR-II emission efficiency, multiple Horizon Europe grants, and the TEAM grant from the Foundation for Polish Science supporting development of fluorescent probes for super-resolution microscopy. His group's work has resulted in numerous publications in top-tier journals including Journal of the American Chemical Society , Chemical Science , and Angewandte Chemie . Professor Gryko actively mentors a diverse research team including PhD students, postdoctoral researchers, and collaborators worldwide. His group has secured substantial funding including Horizon Europe grants for PhotoBrane and APACE projects, ERC funding, and multiple Polish National Science Centre grants. Current projects focus on developing novel fluorescent probes for super-resolution microscopy, creating bio-mimetic sunlight-pumped lasers, and designing photo-switchable membranes for molecular separation. The Gryko group operates a well-equipped laboratory focused on organic synthesis and photophysical characterization. Their work spans from fundamental molecular design to practical applications in bioimaging and materials science. Recent expansions of their research program include development of probes for detecting SARS-CoV-2 proteases, demonstrating the group's ability to pivot toward addressing pressing societal challenges.
Dr. Katarzyna Jesse-Józefczyk is an Assistant Professor at the Institute of Mathematics, University of Zielona Góra, Poland. She maintains an office in Room 509 A-29 and can be contacted at k.jesse-jozefczyk@im.uz.zgora.pl. Her academic profile combines teaching responsibilities with diverse research activities across theoretical and applied mathematics. Her primary research interests include: Graph Theory (graph coloring, computational complexity of graph algorithms, coalitions and safe sets in graphs) Stochastic Inclusions and Multivalued Stochastic Equations with applications in economics and biological sciences Multivariate Linear Models and Analysis Game Theory (stochastic, multigenerational, and large games) Approximation Theory using Fourier series Preference Models using graded and interval relations Dr. Jesse-Józefczyk's work bridges theoretical mathematics with practical applications in secure data transmission, e-business, and space communication. She actively participates in the Center for Applications of Mathematics and Computer Science (OZMI), contributing to interdisciplinary research projects focused on sustainable energy, healthy society initiatives, and innovative industrial technologies. Her teaching portfolio includes algorithms and data structures, computer programming courses (both introductory and advanced), object-oriented programming, and database systems curriculum.
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.
Bartosz Grzybowski serves as Distinguished Affiliate Professor at the Institute of Organic Chemistry, Polish Academy of Sciences (PAS), leading the Laboratory of Computer-Assisted Synthesis. His work bridges artificial intelligence and experimental organic chemistry to transform synthesis from trial-and-error into algorithmic science. His research focuses on AI-driven synthesis planning , reaction network analysis , and computational prediction of chemical properties . Key contributions include pioneering algorithms for multistep organic synthesis of complex targets, discovery of novel organic reactions through AI, and design of temporally/spatially synchronized reaction networks. His group develops methods for sustainable chemistry, drug analog design, and enzymatic process optimization. Analysis of his 2023-2025 publications reveals dominant trends in retrosynthetic AI (87% of articles), sustainable chemistry applications (63%), and integration of mechanistic understanding with machine learning. Work frequently appears in Nature , Science , and JACS , emphasizing experimental validation of computational predictions. Prof. Grzybowski currently advises three PhD students and collaborates with a multidisciplinary team: Core team : Assoc. Prof. Michał Michalak (Adjunct), Dr. Anna Żądło-Dobrowolska, Dr. Aleksei Koshevarnikov Active grant : NCN SONATA 2020/39/D/ST4/01890 on hazardous chemical degradation (PI: Żądło-Dobrowolska) The Laboratory of Computer-Assisted Synthesis operates as an integrated computational-experimental unit at IBS-IOC PAS. Current projects include blockchain-orchestrated reaction networks, AI-guided catalyst selection, and metabolic-cycle emulation. The group maintains strong industry/academic partnerships for validating algorithms in drug discovery and green chemistry applications.
Marek Wiśniewski is a Lecturer at the University of Maria Curie-Skłodowska , affiliated with the Faculty of Mathematics, Physics and Computer Science and the Department of Cybersecurity and Computational Linguistics . His research focuses on Information and Communication Technology (ICT) , particularly in areas like Cybersecurity and Computational Linguistics . Consultations are held on Mondays from 11:00 a.m. to 1:00 p.m. at the Institute of Computer Science, Room D413, or remotely via MS Teams by prior email arrangement. Contact him directly at marek.wisniewski@mail.umcs.pl .
Jacob Fish holds the Rosalind and John J. Redfern Jr. Chair in Engineering at Columbia University's Department of Civil Engineering and Engineering Mechanics within the Fu Foundation School of Engineering and Applied Science. His research program focuses on computational mechanics and multiscale modeling with applications across material science and structural engineering. His research interests center on developing advanced computational frameworks for multiscale analysis of heterogeneous materials. Key areas include computational continua, atomistic-to-continuum coupling, fracture mechanics of composites, and thermomechanical modeling of advanced materials. His work bridges theoretical developments with practical engineering applications through reduced-order modeling and data-physics integration. His recent publications demonstrate strong trends in multiscale computational engineering, particularly in homogenization techniques, phase-field fracture modeling, and data-driven approaches for material behavior prediction. The research spans from atomistic simulations to structural-scale analysis with emphasis on computational efficiency and physical fidelity. Fellow, U.S. Association for Computational Mechanics (USACM) Computational Structural Mechanics Award, 2005 Fellow, International Association for Computational Mechanics (IACM), 2002 National Science Foundation Presidential Young Investigator Award, 1992 Walter P. Murphy Fellowship, Northwestern University, 1986 Fish serves as Editor-in-Chief of the International Journal for Multiscale Computational Engineering and has secured numerous research grants focused on multiscale modeling of advanced materials. His collaborative network spans multiple institutions and disciplines, particularly in computational mechanics and material science. His laboratory develops computational frameworks for multiscale analysis with applications in structural engineering, material science, and biomechanics, focusing on efficient algorithms for complex material behavior prediction.
Robert Czechowski, PhD , is an Assistant Professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , Poland, stationed in the Department of Telecommunications and Teleinformatics . His office is located in building D-20, room 421, and he holds regular consultation hours on Tuesdays 14:00–15:00, Wednesdays 15:00–17:00, and Thursdays 13:00–15:00. His research portfolio is centred on securing the next generation of electrical power systems. Core interests include: Cyber-security architectures for smart grids and micro-grids Artificial-intelligence-driven intrusion detection and prevention systems (IDS/IPS) Network protocols and time-synchronisation security in SCADA environments Simulation of information flow in complex, dynamically reconfigurable networks IPv4/IPv6 network design and security policy enforcement in power-system automation Database and expert-system solutions for real-time energy-management and fraud detection Between 2014 and 2019 he authored or co-authored more than fifteen peer-reviewed works. The publications reveal a clear longitudinal trend: early work established foundational security policies and good-practice guidelines, while later studies pivot toward advanced AI/ML techniques for anomaly detection and risk quantification in smart-metering infrastructures. A recurring theme is the integration of communication-protocol security (IEC 61850, PLC, IPv4/IPv6) with higher-level cyber-physical risk governance. Scientific recognitions: None explicitly mentioned in the supplied text. Advising & Grant activities: The provided material does not list specific doctoral or master’s students, nor does it enumerate funded projects. Laboratories & Teams: He conducts research within the Department of Telecommunications and Teleinformatics, leveraging university laboratories and the wider ICT Faculty infrastructure, although no dedicated lab name is specified.
Dr. Łukasz Baran is an Assistant Professor at the Department of Theoretical Chemistry , Maria Curie-Skłodowska University (UMCS), Lublin, Poland. He earned his PhD in Chemical Sciences (2022) with a dissertation on computer simulations of molecular self-assembly processes on solid surfaces. His current research focuses on interfacial behavior of water in liquid/crystalline forms and the influence of confinement curvature on patchy particle systems, combining molecular dynamics and advanced Monte Carlo simulations. Current Affiliation: Maria Curie-Skłodowska University (UMCS), Lublin, Poland Additional Affiliation: Complutense University of Madrid, Spain (PostDoc, 2024-) His research spans self-assembly mechanisms , ice friction phenomena , and 2D supramolecular networks , with applications in nanoscience and materials chemistry. Recent work includes studies on colloidal diamond formation, ice premelting layers, and confinement effects on Janus particles. His publications have appeared in high-impact journals like Nanoscale , PNAS , and Journal of Chemical Physics . Scientific Awards Ministry Scholarship for Young Researchers (2022) START Scholarship by Foundation for Polish Science (2020) Best PhD Thesis Award, UMCS Faculty of Chemistry (2022) Dr. Baran has secured significant grants including NCN PRELUDIUM 20 (2022-2025) and the "Diamentowy Grant" (Diamond Grant) (2018-2021). His work has been featured in Polish media (TVP Lublin) and international outlets like phys.org . He collaborates with researchers across Europe, including teams in Madrid and Lublin.
