Dr. hab. Piotr Łukomski is an Associate Professor at the Department of Political Theory, Institute of Political Science, University of Wrocław. His academic career focuses on the intersection of political theory, philosophy, and cultural analysis, with notable contributions to Hannah Arendt's philosophy, game theory applications in politics, and the role of imagination in political thought. Department: Political Theory Email: piotr.lukomski@uwr.edu.pl ORCID: 0000-0002-5307-616X Research Interests: His work spans conceptual metaphors in political theory, decision-making under hazardous conditions, cultural evolution of tyranny, and the aestheticization of politics. He examines how digital technologies (like VR) reshape political identity and how Arendtian frameworks apply to modern governance. Teaching: Coordinates social consulting labs and teaches decision-making processes in political contexts, with a focus on practical applications in hazardous conditions. Publications: Recent articles analyze VR-era political identity, Hannah Arendt's relevance to modern democracy, and the integration of problem-solving strategies in political thought.
Professor Vasyl Stepanovych Kravtsiv is a distinguished academic and researcher at the Institute of Regional Studies named after M. I. Dolishnyi, part of the National Academy of Sciences of Ukraine. He serves as both the Director of the Institute (from 2014 to July 2025) and Head of the Department of Regional Environmental Policy and Nature Management. With a career spanning over four decades in regional studies, environmental policy, and economic development, Professor Kravtsiv has established himself as a leading expert in regional economics and environmental management in Ukraine. Professor Kravtsiv's educational background includes a degree in Geography from Ivan Franko Lviv State University (1980). His academic achievements include becoming a Candidate of Economic Sciences (1987), Senior Researcher (1994), Doctor of Economic Sciences (2007), and Professor (2010). He has also been honored as a 'Honored Worker of Science and Technology of Ukraine' for his significant contributions to the field. His scholarly work examines the theoretical and practical aspects of regional environmental policy formation, particularly during Ukraine's transition to a market economy. Professor Kravtsiv's research primarily focuses on regional economics, environmental policy, spatial development, and cross-border cooperation. His work examines the intersection of economic development and environmental sustainability, with particular emphasis on the Carpathian region of Ukraine. He pioneered economic methods of environmental quality management in Ukraine, which now operate as pollution fees. Professor Kravtsiv has developed numerous regional environmental safety programs approved by Western Ukrainian authorities and contributed significantly to Ukraine's State Regional Policy Concept. His recent publications address contemporary challenges including the impact of the war and pandemic on tourism, spatial economic development amid European integration, and sustainable growth in decentralization contexts. His scholarly contributions include over 100 scientific works, with 18 monographs exploring regional development, environmental policy, and cross-border cooperation. Professor Kravtsiv's work demonstrates consistent evolution from theoretical foundations to practical policy implementation, with recent publications showing adaptation to Ukraine's wartime conditions and European integration requirements. Honored Worker of Science and Technology of Ukraine Editor-in-chief of the journal 'Regional Economy' Editor-in-chief of the collection 'Socio-economic problems of the modern period of Ukraine' Author of over 100 scientific works including 18 monographs Key contributor to Ukraine's environmental policy framework As Director of the Institute of Regional Studies, Professor Kravtsiv oversees extensive research activities, coordinates international collaborations through Erasmus+ and Visegrad Fund programs, and guides scholarly publication efforts. His leadership has positioned the Institute as a key contributor to Ukraine's regional development policies and environmental management strategies. He actively participates in developing Ukraine's adaptation to European standards and contributes to reconstruction planning amid wartime conditions, demonstrating both academic rigor and practical policy relevance.
Andrzej Majkowski is an Associate Professor at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering, Warsaw University of Technology. His career spans over two decades of research in biomedical engineering, focusing on brain-computer interfaces, signal processing, and emotion recognition. Active in both teaching and research, he contributes to advancing methodologies in electrophysiological signal analysis. Warsaw University of Technology Institute of the Theory of Electrical Engineering, Measurement and Information Systems Faculty of Electrical Engineering Specializing in biomedical engineering , Majkowski's research bridges control systems and information technologies with neuroscience applications. His work explores brain-computer interfaces , EEG/EMG signal processing , and emotion recognition using multimodal physiological data. Recent studies focus on deep learning architectures for artifact removal and classification tasks. Recent publications highlight trends in CNN-LSTM hybrid models for signal denoising, convolutional networks for seizure detection, and machine learning applications in visual evoked potential analysis. His work spans both clinical applications (epilepsy monitoring) and human-computer interaction (emotion recognition, sign language detection). With over 98 documented publications and significant bibliometric indicators (h-index 13 in Scopus), Majkowski has supervised 95 promoted theses. His research includes one funded project and collaborations in biomedical instrumentation, though specific award details remain unspecified in available records.
Alina Landowska serves as Assistant Professor in the Department of Cultural Studies at the Faculty of Humanities, SWPS University of Social Sciences and Humanities in Warsaw. Her academic profile integrates cultural studies, computational linguistics, and ethics, with significant contributions to understanding moral foundations in digital discourse and technological futures. Her educational background includes degrees in Management and Economics from Gdańsk University of Technology and European Integration from the Pontifical University of John Paul II in Krakow, complemented by international scholarship experiences: SDG Academy (United Nations) Tantur Ecumenical Institute, Jerusalem (University of Notre Dame) Baltic University Program, Uppsala Swedish Institute of Environmental Research, Kalmar Royal Danish Student Fund, Copenhagen Landowska's research investigates cultural evolution through computational discourse analysis, focusing on morality-technology intersections. She pioneers text-mining methodologies to examine moral foundations in social media, anticipatory rhetoric in digital communication, and value-based management frameworks. Her work bridges humanities with data science, analyzing polarization mechanisms and proleptic cues in online environments while exploring cooperation ethics in business contexts. Recent publications demonstrate methodological innovation in mapping technological futures through sentiment/emotion analysis and moral-value detection systems. Her article corpus reveals consistent thematic threads: digital rhetoric analysis (particularly prolepsis functions), moral psychology applications in AI/social media, and cultural evolution studies linking cooperation theory with business ethics. This interdisciplinary approach positions her at the nexus of computational social science and humanistic inquiry. No scientific awards or prizes are documented in her current professional profile. As an educator, Landowska mentors students in discourse analysis methodologies and socio-economic media studies while serving as executive coach with EMCC Poland. Her research leadership extends to co-founding the Institute for Development think tank and representing Employers of Poland at the OECD's Business and Industry Advisory Committee (2016-2018). She previously held vice-presidential roles in the Polish Association of Businesswomen. Landowska maintains active research affiliations with the Humanistic Management Center (University of Lucerne), International Council for Small Business (George Washington University), and ArgDiaP association. Her 2022-2024 tenure with New Ethos Lab advanced dialogue studies in persuasion frameworks, complementing her current work on digital rhetoric's ethical dimensions.
Prof. Jerzy Bański is a retired Professor and former Head of the Department of Rural Geography and Local Development at the University of Warsaw's Faculty of Geography and Regional Studies. His academic career spans over three decades with a PhD (1996) and post-doctoral degree (2000) in Earth Sciences, specializing in economic and rural geography. He has led 48 research projects and supervised 5 PhD and 43 MSc students at Maria Curie-Skłodowska University in Lublin. His research focuses on land use dynamics, rural development, spatial planning, and socioeconomic processes in Central and Eastern Europe. Notable contributions include analyzing post-socialist agricultural transformations, village decline, and pandemic spatial impacts. He authored 421 publications, including 151 in English, and received the Jan Olaf Chmielewski Science Award (2001) and Honorary Membership in the Bulgarian Scientific Society. Key projects include classifying rural areas for territorial policy, assessing pandemic geography, and evaluating agricultural land ownership changes. His work frequently intersects with policy design, institutional analysis, and interdisciplinary collaboration in academia. Awards: Jan Olaf Chmielewski Science Award (2001), Honorary Membership (Bulgarian Scientific Society) Grants: 48 projects led, including EU and national funding Education: MA (University of Warsaw), postgraduate studies in scientific photography
Maciej Zięba is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically within the Department of Artificial Intelligence . His work spans machine learning, deep learning, and computer vision, with a focus on hyperspectral imaging, autonomous systems, and 3D modeling. Recent research includes uncertainty-aware sensor deployment for autonomous vehicles, low-light image enhancement algorithms, and probabilistic regression frameworks for tabular data. He has co-authored publications on flow-based models, hypernetworks, and neural radiance fields (NeRF) applied to 3D face rendering. Contact: maciej.zieba@pwr.edu.pl
Krzysztof Badyda is a Full Professor ( prof. dr hab. inż. ) at the Institute of Heat Engineering (IHE), Warsaw University of Technology (WUT). He serves as the Director of IHE and focuses on mathematical modeling of energy equipment, combined gas-steam systems, and environmental protection technologies in energy. Key Research Areas: Mathematical modeling of thermal-flow processes, steam/gas turbines, combined cycles, energy systems diagnostics. Scientific Recognition: Recipient of the Gold Cross of Merit (2012) and Silver Cross of Merit (2000) from the President of Poland Awarded multiple honors by WUT Rectors and Polish Ministers of Education He supervises intermediate and diploma theses in energy systems and has authored/co-authored over 250 publications, including monographs on co-generation and thermal diagnostics.
Konrad Czernichowski is an Assistant Professor at the Department of World Economy and European Integration, Faculty of Economics, Maria Curie-Skłodowska University in Lublin, Poland. He also serves as a Visiting Professor at the Department of Economics, Mathematics and Statistics, Faculty of Commerce, Jordan University College in Morogoro, Tanzania. His academic career includes positions at the University of Wrocław and extensive research on African economic development. Dr. Czernichowski's research focuses on African economic development , particularly in East Africa and Tanzania. His expertise spans economic integration, banking systems, labor markets, and development challenges in Sub-Saharan Africa. He has conducted extensive research on the East African Community's integration processes, the impact of global crises on African economies, and regional monetary cooperation. His 18 publications demonstrate consistent research output with a focus on practical economic challenges facing African nations. The research shows a clear trajectory from theoretical integration models toward applied policy analysis, particularly regarding the East African Community's development. His work bridges academic research with practical policy implications for developing economies. Member of editorial board, Journal of Economic Integration (2024-2025) Member of board, Polish African Studies Society (since 2021) Member of editorial board, Afryka journal (since 2021) Member of editorial board, Business Education Journal (since 2022) Dr. Czernichowski actively engages with international academic communities through his editorial roles and maintains research connections with African institutions. His work with the 'Maitri' movement center in Lublin (2014-2021) demonstrates practical engagement with development issues. His multilingual abilities (Polish, English, French, German, and Swahili) facilitate direct research engagement across multiple African contexts.
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.
Ngoc Thanh Nguyen is a Full Professor at Wroclaw University of Science and Technology where he serves as Head of the Department of Applied Informatics. He holds the prestigious title of Professor granted by the President of Poland and has been recognized as a Distinguished Scientist of ACM since 2009. He serves as Editor-in-Chief of both the Journal of Information and Telecommunication (JIT) and the Vietnam Journal of Computer Science (VJCS), and chairs the IEEE SMC Technical Committee on Computational Collective Intelligence. His research spans computational collective intelligence, knowledge integration, data mining, social media analysis, and sentiment analysis. Professor Nguyen has pioneered significant methodologies in spatial data clustering within network space, inter-sequence pattern mining, and graph neural network applications. His work bridges theoretical computer science with practical applications in intelligent information systems, demonstrating particular expertise in handling complex spatial and sequential data structures. His research has evolved from foundational pattern mining techniques to sophisticated neural network approaches for geospatial and social data analysis. The analysis of his recent publications reveals a strong focus on spatial data analysis in network environments, with significant contributions to clustering algorithms, graph neural networks, and pattern mining. His work consistently addresses efficiency challenges in data processing while expanding into emerging areas like Vietnamese language processing and topological data analysis. The research demonstrates a clear trajectory from traditional data mining techniques toward more sophisticated AI-driven approaches that incorporate spatial relationships and network topologies. Distinguished Scientist of ACM (2009) ACM Distinguished Speaker (2009-2013) IEEE Distinguished Visitor (2009-2013) Title of Professor granted by the President of Poland Professor Nguyen has supervised over 20 PhD students to completion and currently mentors several ongoing doctoral candidates. His academic leadership extends to founding two major conference series: the Asian Conference on Intelligent Information and Database Systems (ACIIDS) and the International Conference on Computational Collective Intelligence (ICCCI), which have become significant venues in their respective fields. His collaborative network spans multiple institutions, particularly with Yeungnam University as evidenced by several co-supervised PhD projects. As founder and chair of the IEEE SMC Technical Committee on Computational Collective Intelligence, he leads an international community of researchers advancing this specialized field. His departmental leadership at Wroclaw University of Science and Technology positions him at the center of applied informatics research and education in Poland, with particular emphasis on computational intelligence applications.
Dr. Lilianna Wojtynek is a Lecturer at the Department of Logistics, Faculty of Production Engineering and Logistics, Opole University of Technology. Her academic career focuses on logistics, production engineering, and industrial safety. Current Position: Lecturer in Logistics Department: Logistics School: Faculty of Production Engineering and Logistics University: Opole University of Technology Research interests span logistics systems, quality management, and transportation safety. Key themes include: Lean methodologies (5S, supply chain optimization) Industry 4.0 applications in logistics Risk analysis in transportation and logistics Production process planning and decision modeling Articles trends emphasize industrial safety, logistics efficiency, and technology integration in transportation. Notable subfields include dynamic forklift testing, BRT systems, and hazardous material storage.
Dr hab. Krzysztof Węcel serves as Professor and current Head of the Department of Economic Informatics at Poznan University of Economics and Business (UEP), appointed on October 4, 2024. His primary affiliation spans over 25 years with UEP's Department of Economic Informatics, which maintains one of Poland's longest-running academic websites since 1998. He holds dual recognition through habilitation from University of Potsdam (2020) and professorship conferred by UEP (June 24, 2020). His academic milestones: Habilitation degree in Economic Informatics, University of Potsdam (2020) Professor title, Poznan University of Economics and Business (2020) Węcel's research centers on Semantic Technologies and data quality assessment across multilingual Wikipedia, with emphasis on company information verification, citation analysis, and open data applications. His work bridges Big Data analytics with practical business solutions, particularly in maritime logistics where he pioneered evolutionary algorithm-based AIS data processing. Current investigations focus on generative AI's dual role in creating and combating disinformation, including ChatGPT's impact on academic writing and fake news propagation. Recent publications (2022-2025) reveal three dominant trends: First, systematic analysis of Wikipedia's reliability across languages during crises like the pandemic and Ukraine war. Second, development of AI-driven fact-checking frameworks (e.g., OpenFact project's CLEF 2023 victory). Third, exploration of generative AI's societal impact ranging from student creativity to disinformation campaigns. Scientific awards received: Best Paper Award at ICIST 2017 Conference Award for most innovative article at NATCON 2018 conference Microsoft Azure for Research Award (2016) As academic advisor, he leads the 'Semantic Technologies' diploma seminar attracting high-achieving students, with participants winning the 29th UEP Foundation Competition (2025) and Eurostat's Web Intelligence Challenge (2024). His grant portfolio includes the 'Maritime Big Brother' project (2017) for ship voyage prediction using AIS data and Microsoft Azure funding for Wikipedia quality enhancement. Ongoing initiatives include OpenFact (fake news detection) and GOBLIN projects. He actively collaborates with SKN Data Science student circle (evidenced by 2024/2025 inaugural meeting) and international consortia like CLEF and QOD workshops. Departmental leadership involves managing the OpenFact research team that achieved top results in CheckThat! Lab competitions, alongside maritime data analytics groups applying evolutionary algorithms to shipping networks.
Damian Grela is a Lecturer in the Department of Automation and Computer Science at the Faculty of Electrical and Computer Engineering, Cracow University of Technology. His work spans two distinct research domains: software engineering (focusing on BPEL processes, web services, and fault injection testing) and environmental engineering (specializing in diatomite-based biogennic pollutant removal, rain gardens, and surface water quality monitoring).
Prof. Tadeusz Tyszka is a Full Professor and Director of the Center for Economic Psychology and Decision Research (Centrum Psychologii Ekonomicznej i Badań Decyzji ALK) at Kozminski University. His primary research interests include decision-making psychology, economic psychology, and behavioral economics. He has authored numerous books and articles, including Psychologiczne Pułapki Oceniania i Podejmowania Decyzji and Psychologia Zachowań Konsumenckich . He has held leadership roles in international scientific associations, such as the International Association for Research in Economic Psychology and the Division 9 (Economic Psychology) of the International Association of Applied Psychology. His research focuses on cognitive and emotional factors influencing risk perception, decision-making under uncertainty, and consumer behavior. Recent work examines how psychological biases affect choices related to insurance, disaster preparedness, and entrepreneurial risk-taking. Prof. Tyszka’s interdisciplinary approach bridges psychology, economics, and behavioral science to understand human decision processes in complex scenarios. He has contributed to debates on moral judgment, probabilistic reasoning, and the application of psychological principles to policy design. His publications span experimental studies, theoretical analyses, and critiques of literary and historical works through a psychological lens.
Bogusława Whyatt is a Professor at the Faculty of English, Adam Mickiewicz University, Poznań. She holds a D.Litt. in linguistics (2014), Ph.D. in English (2000), and MA in English (1992) from Poznań institutions. Her academic profile spans psycholinguistics, translation studies, and cognitive approaches to translation processes. Key research themes include: Translation process dynamics and directionality effects Eye-tracking applications in translation reception studies Development of translation competence and pedagogy Psycholinguistic analysis of language processing Metacognitive skill transfer between translation and paraphrasing Recent publications focus on cognitive effort metrics, directionality impacts, and empirical methodologies combining eye-tracking and key-logging data. She leads major projects like Read Me (2021-2025) and EDiT (2016-2019), examining translated text reception and translation directionality respectively. Scientific honors include three consecutive Adam Mickiewicz University Rector's Awards for Organizational Excellence (2018, 2023, 2024). She supervises PhD research in translation cognition and has mentored four doctoral candidates to completion. Active in professional networks like the MC2 Lab and TREC consortium, she contributes to cognitive translation studies through methodological innovations and international conference organization. Her methodological expertise includes psychometrics, EEG research, and ATLAS.ti data analysis tools.
