Máté Szabó is an Assistant Professor at the University of Debrecen , affiliated with the Faculty of Informatics and the Department of Information Technology . His email contact is szabo.mate@inf.unideb.hu . He works in areas such as Machine Learning , Smart Cities , and Mobile Computing . His research spans topics like microservice architecture for ensemble models, Markov modeling of traffic flows, and distributed machine learning on mobile platforms. He has explored neural models for conversational AI and gamification in programming education through Minecraft-based challenges. His work also addresses edge computing and data parallelism in mobile environments. His publications (2016–2024) reflect trends in machine learning deployment on Android platforms smart city traffic analytics gamified educational tools cognitive modeling of numerical understanding microservice-based model integration .
Dr. HAJNAL Géza is an Associate Professor at the Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, where he serves in the Department of Hydraulic and Water Resources Engineering. His office is located in Room K. ép / mf. 12/7, and he can be contacted via email at hajnal.geza@emk.bme.hu or phone at +36 1 463 2362. His teaching portfolio includes active courses such as Hydraulic Engineering, Water Management (BMEEOVVAT43) and Hydrometric Field Course (BMEEOVVAI44). Previously, he taught Hidrogeology (BMEEOGMMET3) and Hydrogeology of Subsurface Water (BMEEOGMDT81). HAJNAL's research specializes in hydrogeology , with emphases on karst aquifer dynamics, groundwater flow modeling, climate impacts on hydrology, and hydraulic engineering. His work integrates field measurements (e.g., drip-water monitoring in Buda Castle Cave) with advanced numerical modeling to address complex hydrological challenges in Hungarian watersheds. Analysis of his 15 most recent publications (2013–2025) reveals dominant themes: 73% focus on karst/fractured aquifers , 20% on hydrological modeling techniques , and 7% on socio-environmental conflicts. Recurrent technical subfields include seepage flow validation, transmissivity determination, and rainfall-runoff sensitivity. No scientific awards, grants, student advisees, or lab affiliations are documented in the provided materials.
Dr. FARKAS Dávid is an Assistant Professor in the Department of Hydraulic and Water Resources Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). His office is located in Building K, basement level, room 12/7, and he holds weekly consultation hours on Mondays from 1–3 pm. Educational contributions include teaching core courses in hydrogeology and groundwater engineering: Groundwater (BMEEOVVMV63) Hydrogeology (BMEEOGMMG62) Infrastructural Design Project (BMEEODHAI41) Research activities concentrate on quantitative hydrogeology, with a special emphasis on karstic groundwater systems, seepage hydraulics, and the safety of flood-protection levees. He couples field investigations in iconic Hungarian cave systems (Buda Castle Cave, Molnár János Cave) with laboratory sandbox experiments and numerical modelling to advance understanding of flow and transport processes in fractured carbonates. Over the past decade his work has evolved from fundamental hydrogeological mapping toward the design and deployment of automated monitoring networks that integrate classical hydrological instruments with modern sensor technologies. This progression is evident in his most recent publications (2024-2025) that document the establishment of high-resolution cave monitoring systems capable of capturing rapid responses to precipitation events. Scientific awards currently listed: none. Advising and grants: no specific student names, grant numbers, or funded project titles are provided in the supplied text. Laboratories and teams: while no dedicated laboratory name is stated, his affiliation with the Department of Hydraulic and Water Resources Engineering implies access to the faculty’s hydraulics and hydro-environmental laboratories, including sandbox and seepage modelling facilities.
Professor Imre Hamar, holding a Doctor of Science (DSc) degree, serves as Director of the Institute of East Asian Studies and Head of the Department of Chinese Studies at Eötvös Loránd University (ELTE). He earned his PhD in 1997, habilitated in 2004, and became a full professor in 2008. His academic leadership spans multiple institutions, including directing the ELTE Confucius Institute since 2006. Doctor of Science (DSc) - Institute of East Asian Studies Professor - Department of Chinese Studies Director - Confucius Institute (since 2006) A leading scholar in Chinese Buddhism with a specialization in Huayan philosophy, Hamar has dedicated decades to studying Tang Dynasty religious thought, Buddhist exegesis, and classical Chinese texts. His research traces the development of Buddhist doctrines in China and their cross-cultural transmission through Central Asia. He has taught Chinese religious history, classical Chinese texts, and Buddhist philosophy across undergraduate and postgraduate levels at ELTE. His academic publications focus on the Huayan tradition , Avatamsaka-sutra interpretations, and Yogacara-Huayan synthesis . Recent works examine syncretism in Chinese Buddhist commentaries and the cult of Mount Wutai, reflecting his ongoing engagement with Buddhist sacred geography. Scientific recognition includes: Pro Universitate Award (Gold Level, 2010) Excellent Confucius Institute Director Award (2011) Fulbright Fellowship (University of Virginia, 2008-2009) Numata Guest Professorship (Hamburg University, 2010) He has received multiple research grants from the Japan Foundation, DAAD, and Chiang Ching-kuo Foundation. His editorial work includes co-editing Reflecting Mirrors: Perspectives on Huayan Buddhism (2007) and several volumes in the ELTE Sinological Workshop series.
Prof. Zoltán Károly Lakner is a Professor at the Hungarian University of Agriculture and Life Sciences, affiliated with the Department of Agricultural and Food Economics. His research focuses on applying dynamic systems theory, econometrics, and artificial intelligence to analyze food supply networks, agricultural policy, and socio-economic systems in Africa and Central Asia. Key areas include big-data modeling of complex systems, game-theory applications, and open-source intelligence tools in innovation policy. He leads the SafeConsume H2020 project, developing strategies to mitigate foodborne illness risks through consumer education and prototype tools. His work spans food policy analysis, climate change impacts on agriculture, and ethical food consumption behaviors. Education details not explicitly provided in text. Research interests emphasize quantitative methods in agricultural economics, econometrics-driven policy analysis, and interdisciplinary approaches to global food challenges. Recent publications explore bioenergy expansion effects, water tax policy implications, and post-Paris Agreement green finance trends. No scientific awards explicitly stated in the text. Grants include the Horizon 2020 SafeConsume project. Active in advising and mentoring, though specific student names are not listed. Affiliated with the Szént István Campus in Gödöllő, contributing to institutional research and policy initiatives.
Gábor Magyarfalvi is an Assistant Professor and Lecturer at Eötvös Loránd University, affiliated with both the Institute of Chemistry and the Department of Inorganic Chemistry. His office is located at 1117 Budapest, Pázmány Péter sétány 1/a. (Room 542), and he can be contacted via email at gmagyarf@elte.hu or phone extension 6587. His research focuses on physical and inorganic chemistry, with specialization in spectroscopy, astrochemistry, and computational methods. Key areas include matrix isolation techniques for studying interstellar molecule formation (e.g., H 2 catalysis via polyaromatic hydrocarbons), photochemical generation of reactive intermediates, and conformational dynamics of biomolecules. His work extensively employs low-temperature matrix isolation coupled with laser spectroscopy and quantum chemical calculations. Magyarfalvi's publications demonstrate consistent themes: 60% focus on low-temperature photochemistry and spectroscopy of small molecules (e.g., nitrogen/sulfur compounds, amino acids), 30% on peptide/protein conformational analysis using vibrational circular dichroism (VCD) and NMR, and 10% on methodological developments in computational chemistry. Recent works increasingly explore astrochemistry and quantum tunneling phenomena.
Michael Dorsch is a Full Professor and Head of the Department of Public Policy at Central European University (CEU) in Vienna, Austria. His academic career spans institutions like the American University of Paris and Université Paris II Panthéon-Assas, where he held visiting roles. He teaches political economics, public sector economics, and applied econometrics at undergraduate, master’s, and doctoral levels, contributing to programs such as Economy & Society and Sustainable CEU. Ph.D. in Economics, University of Illinois at Urbana-Champaign M.A. in Economics, Miami University B.A. in Economics, International Studies, and French, Miami University Dorsch’s research bridges formal theoretical modeling and empirical analysis, focusing on political economy dynamics, taxation, environmental degradation, and policy responses during crises like the COVID-19 pandemic. His work often examines how political institutions interact with economic outcomes, including studies on tax morale, democratic accountability, and investment screening mechanisms. His publications appear in leading journals such as the American Political Science Review and Journal of Comparative Economics . Recent accolades include the 2024 Dudley Seers Memorial Prize for his paper on policy evaluation in polarized polities. He actively engages in professional service as an associate editor for journals and co-organizer of academic conferences.
Federico Battiston is an Associate Professor of Network Science and Director of the PhD Program in Network Science at Central European University (CEU), the first such program in Europe. He holds a PhD in Applied Mathematics from Queen Mary University of London and degrees in statistical physics from Sapienza University of Rome. His research focuses on network science, complex systems, and computational social science, with contributions in leading journals like Nature Physics , Physical Review Letters , and Science Advances . He coordinates the software project Hypergraphx and was Chair of NetSci2023, the largest Network Science conference. He has received awards including the Complex Systems Society's Junior Award (2022) and the European Physical Society's Early Career Prize (2021). Education: PhD in Applied Mathematics, Queen Mary University of London MSc in Theoretical Physics, Sapienza University of Rome BSc in Physics, Sapienza University of Rome Research Interests: Battiston explores generalized network structures (e.g., multilayer and higher-order networks), dynamics on networks (epidemics, social/cultural dynamics, synchronization), and their applications in social systems, neuroscience, and ecology. He emphasizes how network topology influences collective behavior and emergent phenomena. Key Contributions: His work includes hypergraph modeling, collaboration in escape rooms, and the role of higher-order interactions in brain networks. He co-authored the book Higher-order systems and guest-edited a Focus Collection on higher-order networks in Communications Physics . Awards & Roles: Junior Award of the Complex Systems Society (2022) Early Career Prize, European Physical Society (2021) Elected Member, Complex Systems Society Council Editor, Communications Physics Advising & Grants: Advised PhD students such as Milan Janosov, Luis Natera, and Rebeka Szabo. Two students received CEU Advanced Awards. His projects include Mapping the Higher-Order Dynamics of Neurodegeneration and DYNASNET . Labs/Teams: Leads the Hypergraphx team and collaborates on interdisciplinary projects in network science, including ecological networks and urban mobility analysis.
Zsigmond Lucza (born 1978 in Budapest) is a Hungarian contemporary artist and university assistant professor at the Hungarian University of Fine Arts, Department of Visual Art since 2022. He holds a DLA (Doctor of Liberal Arts) degree from the University of Pécs Faculty of Arts (2011-2014) and has extensive international experience including studies at the University of Lapland in Finland (2012-2013). Lucza's educational background includes dual Master's degrees from the Hungarian University of Fine Arts (2002-2007) in both Painting and Visual Art Teacher programs, along with foundational training at the Buda Drawing School (2000-2002). His academic career includes teaching positions at Jelky András Applied Arts Vocational High School (2014-2018), Modell Fashion School (2008-2012), and Kolumbusz Humanities High School (2005-2007). Lucza's artistic practice spans contemporary painting, transmedia art, and mixed media works, with significant focus on digital integration in traditional art forms. His research interests center on transmedia tendencies in contemporary Hungarian painting, visual communication, and the evolving relationship between digital and physical art spaces. His work often explores identity, perception, and the integration of technology in artistic expression, creating pieces that bridge traditional painting techniques with contemporary digital aesthetics. His artistic output shows a consistent evolution from figurative works toward more experimental transmedia approaches, with recent projects focusing on environmental reflection, digital portraiture, and collaborative installations. Lucza's work demonstrates a sophisticated understanding of both traditional painting techniques and contemporary digital media, creating a distinctive visual language that addresses current artistic concerns while maintaining strong technical foundations. Lucza has received multiple awards including an Erasmus scholarship for study at the University of Lapland, a scholarship from the Budapest Gallery and Kunststiftung Baden-Württemberg, and first prizes in national competitions. His professional affiliations include membership in the Hungarian Artists' Association (MAOE) since 2007, the MAMŰ Society since 2015, and non-academic membership in the Hungarian Academy of Arts (MMA) since 2022. As an educator, Lucza has conducted numerous workshops internationally including the Experimental Drawing Course at the Latvian Academy of Arts and Transmedia Workshops at the University of Pécs. His curatorial work includes the 'Medium Summoners' exhibition at MAMŰ Gallery in Budapest (2017). Lucza maintains an active exhibition schedule with solo shows across Hungary, Finland, and Slovenia, alongside participation in numerous international artist colonies and collaborative projects.
Miklós Szócska is a Professor and Dean of the Faculty of Public Health at Semmelweis University, Budapest. He also serves as the Director of the Healthcare Management Training Center and Head of the Institute of Digital Health Sciences. His career bridges academic leadership with healthcare policy, including roles as Secretary of State for Health (2010–2014), where he focused on evidence-based health policy, public health taxes, and e-health systems. Education: General Practitioner, Semmelweis University (1989) Master of Public Administration, Harvard University's John F. Kennedy School of Government (1998–1999) PhD, Semmelweis University (2008) Research Interests: Szócska's work spans network analysis , leadership and change management , crisis communication , social innovation , and big data/AI applications in healthcare . His recent studies focus on reconstructing 3D histological structures via machine learning, global mortality linked to pathogens, and tobacco control policies. Article Trends: His publications emphasize global health metrics (e.g., mortality decomposition, colorectal cancer risk factors) and digital health innovations (AI, e-health). Systematic analyses from the Global Burden of Disease Study frequently inform his research. Academic Affiliations: He leads the Institute of Digital Health Sciences and chairs the Faculty of Public Health at Semmelweis University. His international roles include Board Membership at the European Health Forum Gastein and Supervisory Board positions at EIT Health.
Dr. Gábor Koloh is a contemporary Assistant Professor and Research Fellow at the Eötvös Loránd University (Department of Economic and Social History) and the HUN–REN RCH Institute of History . His scholarly work focuses on demographic history , social history , and rural economic structures , with particular emphasis on fertility transitions , household organization , and modernization processes in 19th-20th century Hungary. Education : Law (ELTE), Aesthetics (BA), MA and PhD in Economic and Social History (supervised by György Kövér) Research Themes : Demographic change in interwar Hungary Ethnic agricultural practices in Baranya Temporal/spatial patterns in peasant communities Social mobility of Protestant clergy Methodology : Micro-historical analysis, family reconstitution, manuscript source interpretation Current Projects : Interdisciplinary studies on pronatalist discourse, cooperative territorial development, and aristocratic demographic patterns
János Kertész is a Professor at the Department of Network and Data Science at Central European University (CEU) since 2012, and previously held the position of Professor at the Budapest University of Technology and Economics (1992–2018). He obtained his PhD in Physics from Eötvös University (1980) and DSc from the Hungarian Academy of Sciences (1989). His research spans statistical physics applications, complex networks, and financial analysis. He has authored over 280 papers and served on editorial boards of journals like Journal of Physics A and Physical Review E . His research focuses on interdisciplinary topics including social network dynamics, systemic risk in economic systems, and algorithmic bias in digital environments. Notable awards include the Széchenyi Prize (Hungary’s highest scientific honor) and the Finland Distinguished Professorship. He has led projects such as SAI (Socially Explainable AI) and HUMANE-AI-NET, addressing algorithmic bias and AI ethics. His work bridges physics-based modeling with real-world social and economic systems, emphasizing computational approaches to corruption, opinion formation, and innovation diffusion. Key contributions include modeling cascading failures in interdependent networks and analyzing attention dynamics on platforms like Sina Weibo during the pandemic. He advises on systemic risk mitigation strategies and collaborates internationally, with visiting roles in Germany, the U.S., France, Italy, and Finland.
Andrea Kő is a researcher at the Corvinus University of Budapest's Institute of Data Analysis and Informatics, with a focus on artificial intelligence, fintech, and big data applications. She has held positions in the Department of Information Systems until 2022 before transitioning to her current role. Her work emphasizes investment recommenders, Industry 4.0 readiness, and e-government solutions. Her research spans financial technologies, manufacturing optimization, and organizational resilience in SMEs. Notable contributions include hybrid AI models for production systems and frameworks for digital transformation assessment. She actively contributes to international conferences like EGOVIS and BiDEDE, editing proceedings and presenting on topics such as robo-advisors and smart manufacturing. Key projects include the CCMS2.0e maturity model for Industry 4.0 adoption and studies on pandemic impacts on SMEs. Her work integrates machine learning (ANFIS, MMNN) with domain-specific challenges, addressing both theoretical and practical aspects of digital innovation across sectors.
Gabor Simonovits is an Associate Professor in the Department of Political Science at Central European University (CEU), with affiliate roles in the Undergraduate Studies and the Doctoral School of Political Science, Public Policy, and International Relations. He holds a PhD in Politics from New York University (2018), an MA in Politics from Stanford University, an MA in Economics from CEU (2011), and a BA in Applied Economics from Corvinus University. His research bridges substantive and methodological inquiry in public opinion studies, focusing on attitudes toward public policies in the U.S., inter-group prejudice in Hungary, and quantitative methods addressing researcher incentives in experimental studies. Simonovits teaches courses on research methods and political behavior at CEU. His work appears in top journals such as Science, the American Political Science Review, and the American Journal of Political Science. He has conducted field experiments on discrimination in housing and ride-sharing platforms, analyzed federalism and abortion law dynamics post-Dobbs, and explored communication strategies in political scandals. His methodological contributions address publication bias and experimental design transparency. Notable collaborations include interventions to reduce anti-Roma discrimination in Hungary’s rental market and studies on democratic erosion’s psychological underpinnings. Simonovits has organized departmental seminars on topics ranging from substance use regulation to electoral autocracy campaigning. His research emphasizes bridging empirical rigor with real-world policy implications, particularly in contexts of democratic backsliding and social inequality.
Anna Kende is a University Professor at Eötvös Loránd University, serving as Director of the Institute of Psychology and Head of the Department of Social Psychology. She actively contributes to academic governance as a member of both the Faculty Honors Committee and Faculty Council. Her research centers on the psychology of intergroup relations, with specialized expertise in social change processes, prejudice reduction mechanisms, and collective action dynamics. A defining focus of her work examines anti-Gypsyism and the social inclusion challenges faced by Roma communities across Europe, integrating both theoretical frameworks and applied interventions. Her research methodology frequently employs large-scale international collaborations spanning dozens of countries. Analysis of her 15 most recent publications (2025) reveals three dominant research trajectories: pandemic-induced shifts in intergroup relations (particularly migration attitudes), cross-cultural analyses of allyship motivations for marginalized groups (LGBTQ+ and Roma), and context-dependent interventions for reducing structural prejudice. Her work consistently utilizes multinational datasets and addresses contemporary societal challenges through psychological lenses. Professor Kende has secured substantial funding from European Union programs and other international organizations for numerous research projects. She leads the Social Groups and Media Research Workshop, which investigates group dynamics, media influences on social attitudes, and psychological mechanisms of social change. Her work bridges academic research with real-world applications in prejudice reduction and social cohesion.
