Magdalena Kapelko is a Professor at the Department of Logistics, Wrocław University of Economics. Her research focuses on efficiency and productivity analysis, with a strong emphasis on applications within agribusiness, corporate social responsibility (CSR), and environmental economics. She employs advanced methodologies such as Data Envelopment Analysis (DEA), machine learning, and composite indicators to evaluate organizational performance across industries. Her work spans dynamic inefficiency measurement, sustainability-linked financial instruments, and cross-national comparisons of industrial performance. Notable areas include judicial system efficiency, transport industry CSR, and environmental impact analysis in construction. She maintains an active academic presence through consultations and collaborations, with a dedicated website showcasing her research outputs. Key contributions include integrating CSR into efficiency frameworks and developing non-convex approaches for composite indicators. Her publications address both theoretical advancements and practical applications, such as analyzing Polish consumer behavior toward new food products and evaluating resource allocation in the European dietetic food industry.
Robert Góra is an Associate Professor at the Faculty of Chemistry, Wrocław University of Science and Technology, specializing in theoretical chemistry with a focus on molecular aggregates, electro-optical properties, and photochemistry of organic molecules. His research bridges prebiotic chemistry and chemical origins of life through computational studies of excitation energy transfer and nonadiabatic deactivation mechanisms. Ph.D. (2002) and D.Sc. (2014) in theoretical/physical chemistry from Wrocław University of Science and Technology M.Sc. (1998) in computational chemistry His work explores photorelaxation pathways in DNA base pairs, solvent effects on photochemistry, and electron-driven proton transfer processes. Recent publications highlight collaborations with international researchers on prebiotic nucleoside formation and photodamage mechanisms in nucleobases. Key article trends include theoretical insights into UV-induced reactions, solvent effects on excited states, and computational modeling of prebiotic molecular systems. His expertise spans ab initio methods, nonadiabatic dynamics, and quantum simulations of intermolecular interactions. Awards: Recurrent Rector's prizes, Foundation for Polish Science scholarships, team awards, and TEMPUS Mobility Grant Administrative roles: Dean's Plenipotentiary for eLearning (2007–2020), Deputy Head of Department of Physical and Quantum Chemistry (2019–2020) Grant reviews: National Science Center (since 2017), Czech and Croatian agencies He contributes to journals like Nature and Physical Chemistry Chemical Physics , with a focus on prebiotic photostability and quantum dynamics of biological systems.
Piotr Sankowski is a Professor at the Institute of Informatics, University of Warsaw, specializing in algorithms and theoretical computer science with applications in economics and machine learning. He is also CEO of MIM Solutions, deploying ML solutions, and heads the IDEAS NCBR center for AI and Digital Economy. His research focuses on algorithm design, computational complexity, and interdisciplinary applications in physics and economics. Education & Affiliations: Professor at University of Warsaw's Faculty of Mathematics, Informatics, and Mechanics (MIM) Head of IDEAS NCBR Center (Artificial Intelligence & Digital Economy) CEO of MIM Solutions (AI/ML consulting) Research Interests: Piotr's work bridges theoretical computer science and practical applications, with key areas: Algorithms for matching problems, graph theory, and optimization Machine learning explainability and feature importance Quantum tunneling phenomena in semiconductor nanostructures (physics) Algorithmic game theory and network design His ERC grants highlight contributions to algorithmic foundations and interdisciplinary research. Grants & Awards: ERC Starting (2010), Proof of Concept (2015), and Consolidator (2017) Grants First Pole to secure three ERC grants Fellow of the Institute of Informatics at University of Warsaw Publications: Over 80 papers spanning CS (algorithms, ML) and physics (solid-state theory). Recent work focuses on online algorithms, dynamic graph problems, and scalable ML systems. Labs & Projects: Leads the IGAFIT initiative promoting algorithms in Europe, and the EXALT project for explainable optimization tools. Active in the IDEAS NCBR center for AI innovation.
Małgorzata Plechawska-Wójcik is an Assistant Professor at the Lublin University of Technology, affiliated with the Faculty of Electrical Engineering and Computer Science and the Department of Computer Science. Her research focuses on bioinformatics, software engineering, GUI usability, and interdisciplinary applications of machine learning in healthcare and neurology. She leads or contributes to projects such as the T1DCoach diabetes management application and the Integrated Development Programme of the university. Her work spans comparative analyses of programming frameworks, database systems, and game engines, emphasizing performance optimization and usability. Education details are not explicitly listed, but her academic role indicates advanced qualifications in engineering and computer science. Current projects include collaborations with ANMC, Moodle, and Eduroam initiatives, alongside research into schizophrenia detection via retinal measures and EEG analysis. Research interests include: Bioinformatics : Leveraging machine learning for medical diagnosis (e.g., schizophrenia detection via optical coherence tomography and neural networks). Software Engineering : Comparative studies of frameworks (React.js, Solid.js), scripting languages (JavaScript, Kotlin), and database mapping tools (NuGet). Human-Computer Interaction : Evaluating GUI usability in e-commerce, streaming services, and serious games for education and healthcare. Publications highlight trends in: Machine learning applications in neuroscience and healthcare. Performance benchmarking of web, mobile, and game development tools. Comparative analyses of frameworks and architectures (e.g., Spring vs Laravel, Godot scripting languages). Notably, she has been honored with the Merit Medal for the City of Lublin alongside colleagues from the Computer Science Department. Her advising and grant involvement include project management tools, serious games for first aid training, and environmental monitoring systems using Arduino platforms. Key labs and initiatives include collaborations with the Katedra Informatyki (Computer Science Department) on projects like LubGame Conference and the Moodle integration for educational tools. Her work bridges theoretical computer science with practical applications in healthcare, education, and industry.
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.
Dr. David Ramsey is a professor at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology, specializing in decision theory, game theory, and stochastic optimization. His work bridges mathematics, computer science, and behavioral economics. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Computer Science and Systems Engineering Email: david.ramsey@pwr.edu.pl Research Interests: Ramsey’s research integrates decision theory and game theory with stochastic optimization to model complex systems in behavioural economics and biological systems . Recent work explores multi-criteria decision making and urban sustainability . Publication Trends: His 2024–2020 articles span game theory applications in partnership formation, urban development analysis, and computational decision support tools. Collaborative works include interdisciplinary studies on genetic epidemiology and moral cognition in schizophrenia. Teaching & Contact: He holds regular office hours on Tuesdays and Thursdays. No scientific awards are listed in the provided data.
Dr. DSc, Eng. Jacek RÓŻAŃSKI is a Professor at Poznań University of Technology, Faculty of Chemical Technology, where he works in the Institute of Chemical Technology and Engineering, Department of Chemical Engineering and Equipment. He serves as Deputy Director of the Institute of Chemical and Process Technology, is a Member of the Senate Committee on Laws, Statutes and Regulations, and acts as Head of the Program Council of the Pharmaceutical Engineering program. His academic journey includes obtaining an MSc in Engineering in 1996, a PhD in 2002, and completing his habilitation in 2015 with the thesis "Pressure losses and heat transfer during the flow of surfactant solutions." His educational background demonstrates a strong foundation in chemical engineering principles and fluid mechanics. Professor RÓŻAŃSKI's research focuses on Technical Rheology , particularly the phenomenon of flow resistance reduction , Multiphase flows , and Heat and mass transfer processes . His work bridges fundamental fluid mechanics with practical applications in chemical engineering. His research has evolved from studying basic flow phenomena to developing advanced surfactant systems with applications in pharmaceuticals, cosmetics, and industrial processes. His recent publications demonstrate a strong trend toward investigating viscoelastic surfactant solutions, with particular emphasis on microstructure-property relationships, emulgel technology, and applications in drug delivery systems. His work spans both fundamental research on micellar structures and practical applications in skincare products and pharmaceutical formulations, showing a clear progression from theoretical studies to real-world applications. Professor RÓŻAŃSKI actively supervises doctoral students, with recent dissertations focusing on emulsion formation using dynamic membranes, rheological properties of carboxymethylcellulose solutions, and surfactant applications in fertilizer technology. His research collaborations include institutions such as KU Leuven in Belgium and various Polish industrial partners, highlighting his international scientific engagement. He teaches courses in Chemical Engineering, Introduction to Chemical Engineering, Technical Rheology, Process Kinetics, Mixture Separation Operations, and Economic Analysis of Industrial Processes, demonstrating his broad expertise across chemical engineering disciplines and commitment to academic education.
Hanna Sikacz is a Professor at the Department of Labor, Capital and Innovation at Wrocław University of Economics. Her research focuses on corporate governance, environmental sustainability, ESG reporting, and financial analysis of capital groups. She has extensively studied the integration of environmental, social, and governance (ESG) principles into corporate practices, particularly in Poland's ICT sector and blue economy initiatives. Her work emphasizes transparency in non-financial reporting, leveraging indices like the RESPECT Index to evaluate corporate sustainability performance. She has explored topics such as occupational safety standards, labor practices in integrated reports, and the impact of CSR on financial outcomes. Her recent studies bridge ESG metrics with practical business strategies, addressing challenges in sectors like ICT, marine resources, and capital group dynamics. Key contributions include analyses of ESG disclosure standards, corporate governance frameworks, and sustainability-driven investment strategies. Her research often combines quantitative methodologies (e.g., bibliometric analysis) with case studies to assess real-world applications of sustainability principles. While no specific awards are listed, her prolific publication record reflects sustained academic engagement in these fields. Advising & Grants: Not explicitly stated in provided materials, though her work suggests involvement in collaborative research projects. Labs/Teams: No specific lab affiliations mentioned, but her research collaborations likely involve cross-disciplinary teams at Wrocław University of Economics and external institutions.
Dr. Mateusz Marcin Dutka serves as a Lecturer at AGH University of Science and Technology in Kraków, Poland, within the Department of Power Electronics and Automation of Energy Conversion Systems under the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. Holding both PhD and engineering credentials, he maintains active research and teaching duties from his office in building B-1, room I H 14. His research program centers on critical power system challenges, with primary focus areas including power quality optimization in industrial mining operations, renewable energy integration (particularly wind and photovoltaic systems) into distribution networks, and advanced monitoring techniques using synchrophasors and supraharmonics. Dutka employs machine learning algorithms for wind power forecasting and develops data-driven solutions for disturbance source localization and optimal meter placement in electrical grids. His work bridges theoretical electrical engineering with practical industrial applications, emphasizing voltage stability and harmonic mitigation in complex energy systems. Publication analysis reveals a strong trajectory toward AI-enhanced grid management solutions, with recent articles (2023-2024) addressing photovoltaic inverter standards, mining process efficiency under power quality constraints, and neural network optimization for wind forecasting. His research increasingly incorporates aggregated meter data and supraharmonic analysis, reflecting industry's shift toward comprehensive grid visibility. The majority of publications focus on distribution network challenges, with significant contributions to measurement optimization and renewable integration methodologies. Dutka actively collaborates with industry through the Power Quality Team at AGH University, partnering with entities like Enea Operator on power quality monitoring and energy balancing initiatives. His work demonstrates consistent engagement with both academic research and practical utility applications, particularly in Poland's mining and renewable energy sectors.
Michał Boczek is an Assistant Professor in the Institute of Mathematics at Lodz University of Technology's Faculty of Technical Physics, Information Technology and Applied Mathematics, affiliated with the Division of Insurance and Capital Markets. His research focuses on aggregation operators, fuzzy integrals, and mathematical modelling with applications in insurance mathematics. Analysis of 15 recent publications (2021-2025) reveals consistent themes in Choquet-Sugeno operators, monotonicity frameworks, interval-valued functions, and applications in bibliometrics. No awards, grants, or supervised students are documented.
Dr. Jacek Góra is a Lecturer at the Department of General Construction, Faculty of Civil Engineering and Architecture, Lublin University of Technology. He holds a PhD in Civil Engineering from Kielce University of Technology (2005) and an MSc in Civil Engineering from Lublin University of Technology (1995). His research focuses on concrete properties, including the impact of technological factors, aggregate types, waste materials, and durability of structural concretes. He teaches courses such as Building Materials and Diploma Seminar for both first- and second-cycle studies in Civil Engineering and Architecture. Education: PhD in Civil Engineering, Kielce University of Technology (2005) MSc in Civil Engineering, Lublin University of Technology (1995) Research Interests: Concrete technology and properties Recycling of waste materials in construction Awards: 1st Degree Team Award (2010/2011) 3rd Degree Individual Award (2005/2006) Rector’s Diploma for Organizational Excellence (2005/2006) Teaching: CIVIL ENGINEERING: Building Materials, Diploma Seminar ARCHITECTURE: Building Materials Science
Adam Czubak serves as an Assistant Professor ( adiunkt ) in the Department of Computer Science at the University of Opole, Poland. His institutional email is adam.czubak@uni.opole.pl, and he maintains an active research profile with ORCID 0000-0003-1336-2839. His research spans multiple critical areas of modern networking and security, with primary focus on Computer Networks , Network Security , and Wireless Sensor Networks . His work addresses fundamental challenges in routing algorithms, cryptographic protocols, and vulnerability analysis. Recent publications demonstrate a clear trajectory toward practical cybersecurity applications, particularly in vulnerability assessment frameworks and attack modeling. Analysis of his publication timeline reveals an evolution from theoretical networking foundations (2009-2013) toward applied security research (2014-present). His work bridges algorithmic complexity, cryptographic implementation, and real-world network vulnerabilities, with notable contributions to SDN security, firewall analysis, and Chacha20 cryptography. The consistent focus on performance-cost tradeoffs across WAN/SDN systems demonstrates practical engineering sensibilities. Career metrics include 17 publications, 1 research project, and 1 media appearance. His bibliometric profile shows a Web of Science h-index of 2, SNIP of 0.401, and CiteScore of 0.7, with a Polish ministerial research score of 390 points. Professor Czubak maintains active scholarly presence through Google Scholar, Scopus, and LinkedIn profiles, with documented collaborations through multi-center publications. His research output reflects strong alignment with contemporary cybersecurity challenges while maintaining rigorous theoretical foundations in network science.
Wei Huang is a leading academic at Xiamen University , with affiliations across multiple prestigious institutions including Nanjing University , Nankai University , and Henan University . His research focuses on Material Chemistry For Sensing & Imaging and Organic Semiconductors , particularly in ultralong organic afterglow materials, perovskite solar cells, and flexible electronics. Research Interests : Development of ultralong organic phosphorescence materials, host-guest doping strategies, and applications in data storage, encryption, and bioimaging. Notable Achievements : Pioneering work on tin-halide perovskites for eco-friendly light-emitting diodes, and innovative biomimetic MOF hybrids for stable zinc metal anodes. Scientific Recognition : Ranked as Top Cited Scholar 2024 Top Cited Scholar 2023 Collaborative Work : Extensive international and domestic collaborations in optoelectronics, with publications in high-impact journals like Nature Communications , Advanced Materials , and Chemical Society Reviews .
Agnieszka Kłosowska is a Lecturer at the Intercollegiate Faculty of Biotechnology of the University of Gdańsk and the Medical University of Gdańsk (MUG). She holds a position within the Department of Protein Biochemistry at the University of Gdańsk's Institute of Biotechnology. Her research focuses on molecular chaperones, protein aggregation mechanisms, and cellular stress responses, particularly investigating the roles of Hsp70, Hsp104, and J-domain proteins in protein disaggregation and refolding processes. Her work employs yeast model systems to study proteostasis networks, including proteasome and autophagy pathways, and explores how chaperone interactions mitigate proteotoxic stress. Key topics include Hsp110-Hsp70 synergies, Sis1 J-domain蛋白功能，以及分子伴侣在环境毒素（如砷）诱导的蛋白质聚集中的作用。她的研究成果为理解蛋白质错误折叠和聚集相关的疾病机制提供了重要见解。 她在2013年至2024年间发表了多篇论文，涵盖分子伴侣的相互作用机制、蛋白质重折叠动力学以及去聚酶活性的调控。尽管未提及奖项或资助，但她的研究在蛋白质生物化学领域具有显著的学术影响力。
Dr hab. Robert Kowalak, prof. UEW is a Professor at the Department of Financial Accounting, Taxes, and Audit at the University of Economics in Wrocław. His research focuses on advanced cost accounting, financial analysis, tax compliance, and energy systems optimization. He has contributed to over 50 peer-reviewed articles, including studies on renewable energy installations, waste management cost models, and strategic performance measurement frameworks. His work integrates theoretical frameworks with practical applications in sectors such as municipal waste disposal and electrical grid management. He actively participates in academic conferences, notably organizing the annual Polanica-Zdrój Accounting and Controlling Conference. Key areas of expertise include financial distress prediction, managerial reporting systems, and the application of balanced scorecards in non-profit organizations. Research interests span cost allocation methodologies, tax policy analysis, and energy infrastructure optimization. Notable projects involve improving voltage stability in low-voltage networks and analyzing discriminant models for enterprise risk assessment. He has developed educational materials on managerial accounting and auditing practices, emphasizing practical problem-solving through case studies. His interdisciplinary approach bridges accounting principles with engineering challenges in sustainable energy systems. Professional activities include auditing financial standing using aggregate measures and benchmarking practices for waste disposal facilities. He collaborates with industry partners on applied research in energy efficiency and grid stabilization technologies. His recent work highlights the intersection of financial management and environmental sustainability, particularly in optimizing costs for green waste processing and renewable energy installations.
