Ewa Kulińska is a Professor at the Department of Logistics, Opole University of Technology. Her academic work focuses on optimizing logistics and supply chain processes, with emphasis on risk management, sustainable practices, and industrial applications. She teaches courses in logistics and advises students on academic projects. Her research spans: Risk assessment in supply chains (energy, FMCG, healthcare) Sustainable transport solutions (urban freight, electric vehicles) Industry 5.0 integration in logistics Multi-criteria decision-making for outsourcing and operations Recent publications (2021-2024) highlight trends in logistics innovation, including simulation modeling for risk analysis, policy impacts on healthcare logistics, and sustainable urban freight solutions. Her work frequently addresses real-world challenges in the energy sector, furniture industry, and public transport. No awards or grants are documented in available sources. She maintains an active academic profile with consultations available for students.
Dr. Eng. Joanna Rut is a Lecturer and Head of the Department of Logistics at Opole University of Technology . Her research focuses on logistics optimization, Industry 4.0 integration, and sustainable urban transportation systems.
Dariusz Masłowski serves as a Lecturer at the Department of Logistics, Opole University of Technology, based in room ME-309c. His contact details include phone number 72 697 6199 and email d.maslowski@po.edu.pl, with a professional website at http://maslowski.opole.pl. His academic profile centers on practical logistics applications within urban environments and transport systems. His research spans urban logistics, Smart Cities, telematics, transport optimization, and management. With over 60 publications in national and international journals plus two books on urban logistics, his work emphasizes real-world implementation of logistics solutions. Key interests include forensic logistics applications, telematics integration, and sustainable urban mobility frameworks. Analysis of his 2021-2025 publications reveals strong focus on urban freight systems, safety in logistics operations, and Industry 4.0 applications. Recurring themes include risk management in oversized transport, bioterrorism prevention through forensic logistics, and telematics solutions for traffic optimization. His work consistently bridges theoretical models with practical urban challenges. Dr. Masłowski actively supervises the student scientific circle SKN LogPoint, providing mentorship for logistics-focused student research initiatives and fostering academic development in the field.
Dagmara Kulig, PhD, Eng., serves as a Lecturer at the Department of Particle Interactions and Detection within the Faculty of Physics and Applied Computer Science at AGH University of Science and Technology in Kraków, Poland. Her research focuses on advancing radiation measurement technologies for medical applications, particularly in radiotherapy quality assurance and dosimetry innovation. Her primary research domains include Radiation Dosimetry, Medical Physics, and Radiotherapy, with specialized expertise in Optically Stimulated Luminescence (OSL) and Thermoluminescence (TL) phenomena. Kulig investigates novel luminescent materials—especially LiMgPO 4 -based compounds—and develops 3D-printed scintillators for precise dose measurement. Her work bridges experimental physics with clinical oncology through computational modeling and deep learning applications for treatment planning optimization. Analysis of her 15 most recent publications (2016-2025) reveals a consistent trajectory in radiation monitoring systems, with increasing emphasis on modular detector architectures and AI-driven medical imaging. The Dose-3D project represents a significant computational contribution, while her material science work on LiMgPO 4 dosimeters addresses critical challenges in signal stability and sensitivity. Recent publications demonstrate growing integration of 3D printing and deep learning for personalized radiotherapy solutions. Scientific awards: No awards documented in provided information Advising and grants: No student supervision details available No external funding sources specified Laboratory engagement: Core contributor to Dose-3D project developing Monte Carlo simulation platforms Experimental work on radiation detector systems at Department of Particle Interactions and Detection Material synthesis and characterization for luminescent dosimeters
Dr. Eng. Piotr Wesołowski is a faculty member at the Institute of Chemical Technology and Engineering , Faculty of Chemical Technology , Poznań University of Technology . He can be contacted at piotr.wesolowski@put.poznan.pl or by phone at +48 61 665 37 58. Academic titles include Doctor of Technical Sciences (1992) with dissertation on aerated liquid mixing Member of Polish Academy of Sciences subsections (1995–2016) Court expert in chemical equipment safety Research focuses on mechanical mixing processes in multiphase systems , including: Energy input assessment Mixer design with mechanical agitators CFD modeling of mixing processes Industrial process optimization Recent publications (2001–2013) examine: Agitator geometry effects on suspension stability Power consumption in cereal-coffee systems Turbine impeller performance Baffle-free mixing solutions Scientific distinctions: 2010: Medal of the National Education Commission 2006: 'Exemplary Academic Lecturer' diploma 2006: Rector's Award for achievements Mentored 93 diploma theses (33 master's, 60 engineering) and reviewed 43 theses. Coordinated industry-university collaboration (2009–2013).
Dr. Marcin Lipowski is a Professor at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland, where he serves as both the Dean of the Faculty of Economics and Head of the Department of Marketing since October 1, 2018. With a habilitated doctorate (PhD hab.) from the University of Economics in Katowice, Faculty of Management, he has established himself as a leading expert in marketing with a particular focus on services, multi-channel distribution, and digital marketing strategies. His leadership extends to overseeing academic programs and research initiatives within one of UMCS's major faculties. Professor Lipowski's educational background includes a habilitation from the University of Economics in Katowice, where he specialized in management sciences within the discipline of management and quality sciences. His academic credentials are complemented by extensive practical experience in university administration, having previously served as Head of the Communication and Promotion Office at UMCS from 2009-2011 and as the author of the university's visual identity system. He has also shared his expertise internationally as a Visiting Professor at Lviv Polytechnic in Ukraine, teaching courses on public relations and corporate identity. His research interests span a comprehensive range of marketing topics with particular emphasis on services marketing, multi-channel distribution strategies, the integration of ICT technologies in marketing, marketing communications, public relations, and advanced marketing research methodologies. Professor Lipowski has made significant contributions to understanding consumer behavior across different generations, particularly regarding online channel usage and the perceived media richness of various marketing channels. His work bridges the gap between theoretical marketing concepts and practical business applications, with increasing focus on sustainable consumption, energy markets, and digital transformation in recent years. His research demonstrates strong methodological rigor, frequently employing quantitative approaches to investigate complex marketing phenomena. Analysis of Professor Lipowski's recent publications reveals a clear evolution in his research focus from traditional marketing channels to more contemporary issues of digital transformation, sustainability, and behavioral aspects of consumer decision-making. His work demonstrates strong interdisciplinary connections between marketing, environmental studies, and technology adoption, with a particular emphasis on the Polish market context. The research consistently applies robust quantitative methodologies to investigate real-world marketing challenges faced by businesses and consumers alike, with notable contributions in energy consumption behavior, sustainable product adoption, and smart transportation solutions. BEST PAPER award at The MakeLearn & TIM Conference for publication 'Online Channel in Services Buying Process' (Timisoara, Romania, May 26, 2016) Principal Investigator for National Science Center Grant 2014/13/B/HS4/01612 'Modeling service distribution in network economy' (2015-2018) Reviewer for prestigious journals including European Journal of Marketing, Spanish Journal of Marketing, and International Journal of Management and Enterprise Development Member of the Polish Scientific Marketing Society based in Poznań As an academic leader, Professor Lipowski has supervised numerous students and has been actively involved in educational initiatives including MBA programs at Lublin Polytechnic where he taught 'Promotion' courses. His practical consulting experience spans EU-funded projects such as 'Inicjatywa Jest Kobietą' and various marketing strategy development initiatives for startups emerging from EU development programs between 2019-2022. He has coordinated quantitative research for outdoor festivals in Lublin under a grant from the Ministry of Culture and National Heritage for Warsztaty Kultury in 2017, and has conducted research for Lublin city's 'Academic City' strategy priorities in 2012 and 2014. Since 2024, he has been executing customer needs research for newly established enterprises. Professor Lipowski maintains active collaborations with academic institutions including Lviv Polytechnic in Ukraine. His research group at UMCS focuses on contemporary marketing challenges, particularly in the areas of sustainable consumption, digital transformation of service channels, and energy market behavior. He continues to expand his research agenda into emerging areas including service robots, smart transportation solutions, and the intersection of digital maturity with sustainable behaviors.
Renata Słota is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, where she serves as Vice-Dean of the Faculty of Development. Her office is located at D-17, ul. Kawiory 21, room II, 3.34, with contact details including phone +48 12 328 33 35 and email rena@agh.edu.pl. She also contributes to academic governance as a member of the Disciplinary Council for Technical Information Technology and Telecommunications. Her research centers on distributed data management and cloud computing , with pioneering work in digital cultural heritage systems , blockchain-based decentralized authority , and scientific workflow automation . Notable contributions include integrated frameworks for 3D Cultural Heritage objects management, consensus mechanisms for collaborative data sharing, and multi-cloud data access solutions. Her work bridges theoretical advances with practical applications in cultural preservation and scientific computing. Analysis of her 2020-2026 publications reveals dominant trends in decentralized data governance , cultural heritage digitization , and hybrid cloud workflow management . Key themes include blockchain applications for organizational structures, semantic interoperability for quality-oriented data access, and reproducibility frameworks for computational experiments. Her research consistently addresses real-world challenges in global data accessibility and fault tolerance. Professor Słota actively participates in major research initiatives including the Onedata project for global data federation and the Scalarm platform for distributed parameter studies, demonstrating leadership in data-intensive computing environments and collaborative infrastructure development.
Szymon Barczentewicz, PhD, Eng., serves as a Lecturer at AGH University of Science and Technology within the Department of Power Electronics and Automation of Energy Conversion Systems, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. His academic position and research activities confirm active faculty status in Poland's leading technical university. Dr. Barczentewicz's research concentrates on Power Electronics , Power Quality , and Smart Grid technologies, with particular expertise in harmonic analysis, islanding detection for distributed generation systems, and voltage fluctuation compensation. His work bridges theoretical development with experimental validation, frequently utilizing phasor measurement units (PMUs), hardware-in-the-loop simulations, and advanced signal processing techniques to address grid stability challenges in renewable-rich environments. Analysis of his 15 most recent publications reveals consistent focus on grid integration challenges: 60% address islanding detection and prevention, 40% cover power quality monitoring (including supraharmonics), and 30% explore data compression for smart grid applications. His 2025-2024 work demonstrates increasing emphasis on AI-enhanced grid management and experimental validation of control systems for renewable integration. Collaboration with industry partner Enea Operator features prominently in his research program, particularly in power quality monitoring and energy balancing projects. As an active member of AGH's Energy Quality Team ( Zespołu Jakości Energii ), he contributes to experimental developmental research and educational initiatives in electrical power delivery systems.
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 .
Dr. Anna Gajos-Balińska serves as a Lecturer in the Department of Neuroinformatics and Biomedical Engineering at the Faculty of Mathematics, Physics and Computer Science, Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. Her office is located in room 503 at the Institute of Computer Science where she conducts regular consultations with students. Her research spans the interdisciplinary intersection of Biomedical Engineering (50%) and Information and Communication Technology (50%), with particular expertise in electroencephalography (EEG) signal processing , parallel computing implementations for neuroinformatics, and quantitative analysis of brain activity in psychiatric disorders. Her methodological approaches integrate machine learning tools, CUDA programming, and multi-core architecture optimization to enhance EEG data analysis workflows. Analysis of her publication record reveals consistent contributions to high-performance computing applications in neurodiagnostics, with significant focus on independent component analysis (ICA) algorithms for EEG data processing. Her work demonstrates technical proficiency in optimizing computational frameworks (including Intel Cilk Plus, OpenMP, and BLAS libraries) while maintaining clinical relevance through applications in psychiatric disorder research. Dr. Gajos-Balińska maintains active scholarly profiles through ORCID (0000-0003-4928-5628), Google Scholar, and Scopus, with bibliometric indicators showing an h-index of 4 (Google Scholar), 3 (Scopus), and 3 (Web of Science). Her research has achieved a total ministerial score of 291 within the Polish academic evaluation system. She participates in institutional initiatives including the European Charter for Researchers and Athena UMCS, reflecting engagement with broader academic community standards. Her technical expertise supports both educational activities within her department and potential collaborations through UMCS's research infrastructure.
Jarosław Tulicki serves as a Lecturer at the Department of Electrical Engineering within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. Having recently completed his doctorate in 2024, he specializes in electrical machine diagnostics with emphasis on induction motor fault detection through non-invasive techniques. His research focuses on rotor cage damage diagnostics using stator current spectrum analysis and axial flux signal processing under steady-state conditions. Key contributions include methodologies for detecting rotor asymmetries in double-cage induction motors and developing diagnostic systems for industrial applications like tramway drive systems. His work bridges theoretical electromagnetic modeling with practical condition monitoring solutions. Tulicki's publication record demonstrates consistent research progression from fundamental electromagnetic analysis (2015-2018) toward applied diagnostic systems (2019-2024). The most recent works emphasize double-cage motor diagnostics and real-time implementation, showing strong technical depth in signal processing and system integration. His research consistently targets industrial applicability while maintaining rigorous theoretical foundations. With 27 publications yielding an h-index of 4 in both Scopus and Web of Science, his scholarly impact is reflected in a total ministerial score of 497 within the Polish academic evaluation system. His ORCID profile (0000-0003-1720-3448) documents this active research trajectory.
Andrzej Szromba is an Associate Professor at the Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Cracow University of Technology (CUT). His research focuses on active power filters, power quality conditioning, and energy-efficient control systems. He has extensively contributed to advancing shunt active power filter technologies, including hysteresis control techniques and conductance-based signal methodologies. Professor Szromba’s work addresses challenges in compensating unbalanced loads, stabilizing source currents, and optimizing energy flow in power systems. He has mentored one PhD student, Konrad Hawron, whose 2019 thesis explored time-dependent active power optimization. His publications span from foundational 2000s research on current-source shunt filters to recent advancements in unified power quality conditioners (UPQC) and energy-harvesting systems. His research emphasizes practical applications of digital signal processing and energy-electronic systems to enhance grid efficiency and stability. Notable contributions include the development of conductance-signal-controlled filters and energy buffers integrating power quality and energy management. His work bridges theoretical control algorithms with real-world implementation in three-phase systems, addressing both sinusoidal and non-sinusoidal operating conditions.
Emanuele Della Valle is an Associate Professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano. He holds a PhD in Computer Science from Vrije Universiteit Amsterdam and a Master's in Computer Science and Engineering from Politecnico di Milano. His research focuses on Stream Reasoning, Big Data, Semantic Technologies, and their industrial applications. He has led initiatives to establish Stream Reasoning as a recognized field, including organizing over 15 workshops/tutorials and developing the C-SPARQL Engine (downloaded 9,000+ times). He is a member of the editorial board of the Journal of Web Semantics and has authored multiple books and over 70 publications. Education: PhD in Computer Science, Vrije Universiteit Amsterdam Master in Computer Science and Engineering, Politecnico di Milano Research Interests: Big Data and Stream Processing Semantic Web and Knowledge Representation Data Science and Real-Time Analytics Applications in IoT, Telecom, and Social Media Awards include the CAiSE’19 Best Paper Award, IBM Faculty Awards (2006, 2013), and multiple best paper recognitions. His work has been applied with industry partners like Telecom Italia, IBM, and Siemens. Teaching focuses on Big Data, Data Science, and AI, with courses such as 'Streaming Data Analytics' and 'Artificial Intelligence and Big Data Science'. He has coordinated EU projects (FP7 Service Finder, EIT Digital activities) and founded Quantia Consulting and motus ml.
Professor Adam Niesłony is a Full Professor at Opole University of Technology, working in the Department of Mechanics and Fundamentals of Machine Design within the Faculty of Mechanical Engineering. With extensive experience in materials science and fatigue analysis, he has established himself as a leading researcher in the field of structural durability under various loading conditions. His educational background includes Mechanical Engineering studies at Opole University of Technology (1998-2003). Prior to his current position, he served as Head of Department at the Science and Technology Park in Opole (2017-2018) and completed a PostDoc position at the Fraunhofer Institute for Structural Durability and System Reliability in Germany (2006-2007) through a Humboldt Research Fellowship. Professor Niesłony's research focuses on strength of materials and structures, numerical calculations in fatigue strength and FEM analysis, fatigue tests under random loading, and determination of fatigue strength in both time and frequency domains. His work bridges theoretical models with practical industrial applications, particularly in solving real-world engineering problems related to material durability. His extensive publication record shows a consistent focus on spectral methods for fatigue life assessment, multiaxial fatigue criteria, and the effects of non-Gaussian loading on material fatigue. Recent work emphasizes additive manufacturing materials, composite materials, and advanced methods for fatigue life prediction under complex loading conditions. Scientific Award of the Division IV of the Polish Academy of Sciences for research on fatigue damage evaluation using spectral methods (2010) Humboldt Research Fellowship for Postdoctoral Researchers at Fraunhofer Institute (2006) Professor Niesłony maintains an active research laboratory focused on fatigue testing and analysis, collaborating with numerous researchers across Europe. He has supervised numerous students and participates in international research projects, particularly those addressing industrial applications of fatigue analysis. His work with electromagnetic shakers for durability testing has contributed significantly to acceleration methods for vibration tests, benefiting multiple industries including automotive and aerospace sectors.
Dr. Marcin Ziembicki serves as an Assistant Professor at the Institute of Radioelectronics and Multimedia Technology within the Faculty of Electronics and Information Technology at Warsaw University of Technology. His research integrates experimental particle physics with advanced detector development, focusing on neutrino interactions and nuclear phenomena through major international collaborations. His primary research interests include: Neutrino oscillation physics and cross-section measurements Development of photomultiplier-based detection systems for water Cherenkov experiments Analysis of hadronic final states in deep-inelastic scattering Spin-dependent asymmetries in polarized targets Real-time FPGA-based data acquisition systems Recent publications demonstrate concentrated activity in T2K and Hyper-Kamiokande neutrino experiments, with significant contributions to oscillation parameter measurements, neutron capture studies in oxygen targets, and detector calibration techniques. His work spans theoretical modeling and hands-on hardware implementation, particularly in FPGA-based readout systems for particle detectors. With 168 publications and an h-index of 49 (Scopus), his experimental work has advanced precision measurements in neutrino physics. He has supervised 7 promoted theses and participated in 14 research projects, including the T2K Near Detector upgrade and Hyper-Kamiokande photosensor development. Dr. Ziembicki maintains active roles in the COMPASS spin physics collaboration and the AMBER experiment, where he develops specialized electronics for hadron spectroscopy. His technical expertise bridges particle physics with electrical engineering, particularly in signal processing and detector electronics design for high-radiation environments.
