جست‌وجوی استاد و پژوهشگر

• Phonology
• Phonetics
• Automatic Speech Recognition
• +۲ مورد دیگر

Dr. Gábor Pintér holds dual academic appointments as Assistant Professor at Károli Gáspár Reformed University's Faculty of Humanities and Social Sciences (Department of Japanology) and as Associate Professor at Kobe University's School of Languages and Communication. Born in Hungary in 1977, he earned his MA (2005) and PhD (2008) in Linguistics from Kobe University, Japan, with a dissertation on asymmetrical segment distributions in Japanese. His research focuses on three interconnected domains: phonological theory (especially Japanese phonology), experimental phonetics, and applications of automatic speech recognition in language education. Specific interests include vowel devoicing patterns, prosodic perception in L2 learners, phonotactic constraints, and diachronic sound changes in Japanese. Pintér actively contributes to international research collaborations, including the JSPS-funded project 'Stochastic & theoretical phonological research' and serves as chair of the Phonology Association in Kansai (PAIK). His 15 most recent publications demonstrate methodological diversity, combining theoretical linguistics with computational approaches and experimental studies, primarily focused on Japanese phonetics and speech technology applications. Professional memberships include board positions in The Phonological Society of Japan and memberships in the International Speech Communication Association and Association for Laboratory Phonology.

Katalin Pinielمشاهده پروفایل

استادیار

• Applied Linguistics
• Language Learning
• Emotions in Education
• +۵ مورد دیگر

Katalin Piniel is an Assistant Professor at the Department of English Applied Linguistics within the School of English and American Studies at Eötvös Loránd University, Budapest. Her work bridges applied linguistics and educational psychology , focusing on the dynamic interplay of emotions , including language anxiety , motivation, and self-efficacy in foreign language learning contexts, particularly in Hungary. PhD in Language Pedagogy (ELTE) Associate Editor of Studies in Second Language Learning and Teaching Active reviewer for applied linguistics journals Her research integrates complex dynamic systems theory to analyze longitudinal changes in affective variables and employs meta-analytic techniques to validate anxiety measurement tools like the Foreign Language Classroom Anxiety Scale (FLCAS) . She explores formative and summative assessment practices in Hungarian high schools and investigates flow experiences during language tasks. Her methodological interests include quantitative tools (e.g., Rasch analysis), collaborative research , and cross-cultural comparisons (e.g., Hungarian-Kazakh studies). Recent publications highlight trends in emotion-motivation dynamics , skills-based anxiety measurement , and the impact of online education on affective variables. She collaborates on projects examining special needs learners , including Deaf and hard-of-hearing students , in foreign language acquisition. Contact: brozik-piniel.katalin@btk.elte.hu | ORCID | Google Scholar | ResearchGate

Miklos Korenمشاهده پروفایل

استاد

• International Trade
• Economic Development
• Labor Economics
• +۴ مورد دیگر

Miklós Koren is a Professor of Economics at the Central European University (CEU), Vienna. He serves as Head of the MS in Business Analytics Program and a Core member of the Economics Doctoral School. His research focuses on international trade, economic development, and the role of management in economic growth. He holds a Ph.D. from Harvard University (2005), an M.A. from CEU (2000), and a B.A. from Corvinus University Budapest (1999). Education: Ph.D. in Economics, Harvard University, 2005 M.A. in Economics, Central European University, 2000 B.A. in Economics, Corvinus University Budapest, 1999 Research Interests: Dr. Koren’s work examines the impact of managerial practices on economic development, trade policies, and firm performance. He has explored topics such as the effects of international experience on managerial talent, the role of expatriate CEOs in enhancing productivity, and the long-term implications of social distancing on industries reliant on face-to-face interactions. His research integrates empirical analysis with theoretical frameworks, often using large datasets to address questions of economic volatility and diversification. Key Contributions: He leads the CEU MicroData research group and has received an ERC Starting Grant for his work on trade and development. His publications span journals like the Quarterly Journal of Economics and PLoS ONE, addressing issues ranging from managerial skills in post-communist economies to the predictive power of machine learning in geospatial flows. Awards: Recipient of the Peter Kenen Fellowship and the Nicholas Káldor Prize, recognizing his contributions to economic theory and applied research. Grants & Labs: His research has been supported by grants from the European Research Council. He contributes to the development of research tools like the Stata package 'eventbaseline' for event study analysis.

Miklos Szócskaمشاهده پروفایل

استاد

• Healthcare Management
• Network Analysis
• Leadership and Change Management
• +۶ مورد دیگر

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.

János Kertészمشاهده پروفایل

استاد

• Statistical Physics
• Complex Networks
• Financial Analysis
• +۹ مورد دیگر

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.

Krisztián Széllمشاهده پروفایل

دانشیار

• Educational Inequality
• School Resilience
• Student Achievement
• +۷ مورد دیگر

Krisztián Széll is a Habil. Associate Professor at Eötvös Loránd University’s College of Education, specializing in educational inequality and school resilience. His research explores student achievement, school climate, Roma student integration, adaptive testing, and school dropout risk. He leads the Research Group on Innovation and Equality in Education and serves on the university’s Research Ethics Committee. Key Research Areas: Educational equity, resilience development, language policy, psychometric testing, and pandemic-era learning patterns. Publications: Focus on Hungary, cross-national comparisons, and methodological advancements in educational assessment. Affiliations: Eötvös Loránd University, Research Ethics Committee, Research Group on Innovation and Equality in Education. His recent work analyzes contextual factors in student belonging, adaptive testing formulas, and pandemic impacts on learning. He contributes to debates on reliability metrics like Cronbach’s alpha and institutional factors shaping educational outcomes.

Imre Salmaمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Environmental Science
• Air Pollution
• +۴ مورد دیگر

Imre Salma is a Professor at the Department of Analytical Chemistry within the Faculty of Science at Eötvös Loránd University (ELTE). His research focuses on atmospheric chemistry, aerosol physics, and environmental science, with an emphasis on particle formation, air quality, and health impacts. He holds a Doctor of Science (DSc) degree and has extensive experience in analytical techniques, including eddy accumulation and convolutional neural networks for particle detection. Salma’s work examines ultrafine particles in urban environments, investigating their sources, dynamics, and health consequences. His research spans long-term data analysis (e.g., 11-year datasets), lockdown effects on pollution, and regional comparisons across Europe. He also explores oxidative potential of particles, lung deposition mechanisms, and firework-related air quality degradation. Key applications include improving air quality monitoring, informing policy, and advancing climate models. His publications span aerosol nucleation mechanisms, hygroscopic properties, and interdisciplinary approaches bridging chemistry, computer science, and public health. Salma collaborates internationally, contributing to initiatives like the COST Action 633. His lab is located at the Institute of Chemistry in Budapest, with a focus on cutting-edge analytical methods and environmental problem-solving.

László Mérőمشاهده پروفایل

استاد

• Psychology
• Game Theory
• Cognitive Science
• +۴ مورد دیگر

László Mérő is a Professor and lecturer in the Department of Affective Psychology at Eötvös Loránd University's Institute of Psychology. His work focuses on the interplay between psychology, game theory, and complex systems, particularly exploring how humans perceive and rationalize rare events, emotions in decision-making, and the boundaries of rational thought. He has also contributed to artificial intelligence research and the philosophical underpinnings of scientific inquiry. His publications often bridge theoretical and applied domains, addressing topics like monetary behavior, social coordination, and cognitive biases. Mérő’s research interests prominently feature the study of 'miracles' as probabilistic anomalies, the evolution of economic systems, and the limits of rationality in both human cognition and AI. He has written extensively on these themes, including books translated into English such as The Logic of Miracles and Moral Calculations . His work integrates empirical psychology with mathematical models to explain phenomena ranging from emotional impulses to collective social behaviors. No scientific awards are explicitly mentioned in the provided texts. While no advising or grant details are available, his publications suggest a focus on interdisciplinary research at the intersection of psychology, philosophy, and computational sciences. His institutional affiliation includes the Institute of Psychology, where he maintains an office at Izabella u. 46, Budapest, and can be reached via email and listed phone number.

• Developmental Psychology
• Cognitive Science
• Information Search Strategies
• +۳ مورد دیگر

Azzurra Ruggeri is an Associate Professor at the Central European University (CEU) and Technical University of Munich (TUM), holding positions in the Department of Cognitive Science (CEU) and School of Education (TUM). Her research focuses on how individuals actively search for information during decision-making, causal inference, and categorization tasks, emphasizing adaptability and task sensitivity. Education: Ph.D. in Psychology, Humboldt University of Berlin Ph.D. in Cognitive Science, University of Siena M.A. in Philosophy, Decision Making and Philosophy of Science, University of Pisa Research Interests: Cognitive development of information search strategies Adaptive decision-making in children and adults Role of active learning in cognitive development Her work bridges developmental psychology and cognitive science, with contributions to understanding how search strategies adapt to task structures and enhance learning outcomes. Awards: Volkswagen Foundation Grant (€1.5M, 2020) DFG Focus Program Grant (€350K, 2018) Marie Curie Fellowship ($282K, 2013–2017) Labs/Teams: Leads the iSearch research group, exploring Information Search, Ecological, and Active Learning in children.

Attila Imreمشاهده پروفایل

استاد

• thermodynamics
• energetics
• physical chemistry
• +۹ مورد دیگر

Dr. Attila Imre is a Full-Time Professor in the Department of Power Machines and Systems at Budapest University of Technology and Economics (BME) . He also serves as a Part-Time Scientific Advisor at the MTA Energy Research Center . His research spans thermodynamics, energetics, physical chemistry, and ecology, with a focus on working fluids, phase transitions, and energy systems. Doctor of Science (DSc), Hungarian Academy of Sciences (2015) PhD in Physics, ELTE (1996) DrUniv in Solid-State Physics, ELTE (1994) MSc in Physics, ELTE Faculty of Physics (1990) Imre’s research integrates theoretical and applied studies in thermodynamic cycles, metastable fluids, and supercritical systems. He has pioneered work on working fluid selection, cycle efficiency, and cold energy utilization, particularly in organic Rankine cycles and power-to-methane technologies. His 15 most recent publications emphasize artificial intelligence in energy systems, economic analyses of sustainability, and thermodynamic modeling of extreme-state fluids. Key trends include AI-driven performance mapping, techno-economic evaluations of waste heat recovery, and ecological applications of fractal geometry. Scientific Awards : Humboldt Scholarship, Johannes Gutenberg University, Mainz, Germany (1999) Imre has held prestigious postdoctoral roles at the University of Tennessee and senior research positions in Hungarian institutions. His work bridges energy engineering, computational modeling, and interdisciplinary challenges in translation and cultural studies.

Eszter Rita Katonaمشاهده پروفایل

استادیار

• Computational Social Science
• Social Research Methodology
• Natural Language Processing
• +۷ مورد دیگر

Eszter Rita Katona is an Assistant Professor at Eötvös Loránd University's Faculty of Social Sciences, Department of Social Research Methodology. She serves as a lecturer at multiple research centers including the Research Center for Computational Social Science (RC2S2), Survey Methods Room Budapest, and Széchenyi István College for Advanced Studies. Education: PhD in Interdisciplinary Social Research (Doctoral School of Sociology, 2018-2023) Computer Science specialization (Faculty of Informatics, 2016-2017) Survey Statistics MSc (Faculty of Social Sciences, 2015-2018) Social Sciences BA (Faculty of Social Sciences, 2011-2015) German Studies BA (Faculty of Humanities, 2012-2015) Angelusz Róbert College for Advanced Studies (2014-2018) Research Focus: As a computational social scientist, her work spans three major domains: NLP and data visualization applications in social research Discursive framing of depression in online communities Corruption risk assessment in public procurement Teaching Expertise: In her academic role, she teaches: BA courses: Data Collection Methods, Data Visualization, Introduction to Sociological Research, Quantitative Data Analysis MSc courses: Advanced Data Visualization, Python Programming, Communication and Data Visualization, Text Analytics Scientific Contributions: Her recent publications and conference presentations focus on: Machine learning for depression discourse analysis Digital lens approach to Holocaust testimonies Corruption risk modeling in public procurement Interdisciplinary NLP applications Computational social science methodology Contact: katona.eszter@tatk.elte.hu

Márton Karsaiمشاهده پروفایل

دانشیار

• Network Science
• Computational Social Science
• Data Science
• +۵ مورد دیگر

Márton Karsai is an Associate Professor and Head of the Department of Network and Data Science at Central European University (CEU). He also serves as a Research Professor at the Rényi Institute of Mathematics (Hungary) and Editor-in-Chief of Advances in Complex Systems . His work focuses on computational social science, human dynamics, and data-driven modeling of socioeconomic systems. Karsai holds advanced degrees including a DSc from the Hungarian Academy of Sciences and an HDR (Habilitation) in Computer Science from École Normale Supérieure de Lyon. His research integrates temporal networks, human mobility, and social contagion phenomena, often using large-scale datasets from digital platforms and wearable sensors. Notable projects include studies on evacuation behavior during disasters, vaccination hesitancy, and urban socioeconomic stratification. Karsai leads interdisciplinary initiatives like the DyLNet project, which examines social interactions and language development in preschool environments through sensor technology. Recent publications highlight innovations in network clustering algorithms (PASCO), epidemic modeling with generalized contact matrices, and the application of machine learning to infer socioeconomic status from satellite imagery. His work bridges computational methods with real-world challenges in public health, urban planning, and humanitarian development.

Laszlo Matyasمشاهده پروفایل

استاد

• Econometrics
• Panel Data Analysis
• Policy Analysis (Central and Eastern Europe)
• +۳ مورد دیگر

Laszlo Matyas is a University Professor at the Department of Economics and Business at Central European University (CEU). He has held leadership roles, including Head of the Hungarian Accredited PhD Program in Economics and former Provost of CEU. His work focuses on econometrics , panel data analysis , and policy analysis in Central and Eastern Europe . He has co-authored/co-edited influential works, such as the Springer book series on econometrics. Education: Ph.D. (C.Sc, D.Sc) in Economics/Econometrics from the Hungarian Academy of Sciences. Research Interests: His research emphasizes panel data methodologies, fixed effects models, gravity models in trade analysis, and the impact of institutional changes on economic behavior. Recent work explores inflation dynamics, post-pandemic economic recovery, and machine learning applications in econometrics. Articles Trends: His recent publications address panel data techniques, policy implications of trade flows, and the economic effects of geopolitical events like the Ukraine war. He also investigates methodological challenges in econometrics, such as discretized variables and pairwise observations. Grants & Labs: While specific grants are not listed, his editorial roles and co-edited volumes (e.g., Seven Decades of Econometrics ) highlight his contributions to advancing econometric theory and practice.

Backhausz Ágnesمشاهده پروفایل

استادیار

• Probability Theory
• Random Graphs
• Matrices and their Limits
• +۳ مورد دیگر

Ágnes Backhausz is a habilitated assistant professor at Eötvös Loránd University's Faculty of Science, Institute of Mathematics, Department of Probability Theory and Statistics, with a part-time research position at the Alfréd Rényi Institute of Mathematics. Her academic career spans theoretical probability and practical applications in network science. Dr. Backhausz's research focuses on probability theory with specializations in random graphs, matrices and their limits, spectral theory of random graphs, and factor of iid processes. Her work bridges pure mathematics with real-world applications, particularly in epidemiological modeling on complex networks. She has made significant contributions to understanding the eigenvectors of random regular graphs and the behavior of processes on infinite trees. Her recent publications demonstrate a growing emphasis on applying probabilistic methods to epidemic modeling on multilayer networks with overlapping communities. This research has important implications for public health policy and disease control strategies. The trend in her work shows increasing interdisciplinary collaboration, combining mathematical rigor with practical healthcare applications. Dr. Backhausz holds significant academic responsibilities including serving as Supervisor and training lead for the Beyond The Edge Marie Curie Doctoral Network (2024-2027) and as a researcher at the National Laboratory for Health Security, Hungary (2023-2026). She is an editor for Acta Mathematica Hungarica since March 2021 and has been organizing the Departmental seminar of the Department of Probability Theory and Statistics since 2010. She actively contributes to the mathematical community through program committee memberships for major conferences like Eurocomb and by organizing workshops on graph limits, groups, and stochastic processes. Her editorial work further demonstrates her standing in the mathematical research community. As an educator, Dr. Backhausz teaches mathematical statistics, probability theory, and related subjects across multiple programs at ELTE, including courses for mathematics students, earth science students, and informatics programs, showcasing the interdisciplinary nature of her expertise.

• Statistical Literacy
• Financial Literacy
• Statistics Education
• +۵ مورد دیگر

Dr. Péter Kovács is an Associate Professor and Chair of the Department of Statistics and Demography at the University of Szeged, serving as Dean of the Faculty of Economics and Business Administration since 2017. Previously, he was Vice Dean (2014–2017). He holds a PhD and habilitation in Economics and an MA in Mathematics. His research focuses on statistical and financial literacy, multivariate statistical methods, and education technology. He leads the Financial Literacy Research Group and participates in initiatives like ProCivicStat. He has extensive editorial roles, including membership in the editorial boards of Pakistan Journal of Statistics and Operation Research , Journal of Applied Economics and Business , and others. He chairs the Hungarian Academy of Science's Statistics Scientific Subcommittee and holds leadership roles in international organizations like the International Association for Statistical Education (IASE) and the International Statistical Literacy Project (ISLP). His research interests bridge statistical methodology with societal issues, including the acceptance of autonomous vehicles, maternal mortality in sub-Saharan Africa, and the integration of visualization tools in education. He has been awarded the Péter György Award (2006) for teaching and recognized as Ambassador of Financial Literacy (2021). Teaching responsibilities include courses on statistics, econometrics, and business software. He emphasizes modern pedagogy, including technology-driven methods and collaborative learning approaches. His work addresses both theoretical advancements and practical applications in education and policy.