جست‌وجوی استاد و پژوهشگر

• Algebra
• Combinatorics
• Number Theory
• +۳ مورد دیگر

Gábor Somlai is a mathematics researcher at Eötvös Loránd University's Faculty of Science, affiliated with the Department of Algebra and Number Theory since 2006. He is a core member of the HUN-REN-ELTE Geometric and Algebraic Combinatorics Research Group (previously MTA-ELTE until 2023) and participates in the Asymptotic Group Theory ERC project. His institutional roles include contributions to the Mathematics Doctoral School and the Institute of Mathematics. His research spans Algebra , Combinatorics , and Number Theory , with emphasis on spectral sets, tiling problems, group theory, and finite geometry. Recent work explores cyclotomic polynomials, the generalized trifference problem, and connections between tiling and spectral properties in finite abelian groups. His publications reveal a strong focus on combinatorial number theory and algebraic methods in discrete geometry. Somlai's publication trends show sustained contributions to theoretical foundations of tiling and spectral sets (testing Fuglede's conjecture in cyclic groups) Cayley graph properties and CI-group classifications polynomial methods in finite geometry and direction problems His work bridges pure algebra with combinatorial applications, often resolving long-standing conjectures in specialized domains. As part of the HUN-REN-ELTE research group, he collaborates on geometric and algebraic combinatorics projects, leveraging ERC funding for asymptotic group theory investigations. His research infrastructure includes access to the Alfréd Rényi Institute of Mathematics (http://www.renyi.hu) resources.

• 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.

Federico Battistonمشاهده پروفایل

دانشیار

• Network Science
• Complex Systems
• Computational Social Science
• +۸ مورد دیگر

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.

• Quantum Physics
• Condensed Matter Physics
• Spintronics
• +۳ مورد دیگر

Dr. András Pályi is an Associate Professor at the Department of Theoretical Physics, Budapest University of Technology and Economics, and Head of the HUN-REN-BME-BCE Quantum Technology Research Group. His work bridges quantum computing, spintronics, and condensed matter physics, focusing on spin-phonon interactions, topological quantum systems, and semiconductor nanostructures. Quantum Computing Spintronics Topological Insulators Quantum Materials Recent publications highlight his research on quantum error correction , spin qubit control , non-Abelian Berry phases , and Weyl point stability , with applications in nanomechanical resonators and Majorana qubit architectures. His group explores spin-orbit coupling, acoustic phonons, and lattice reorientation mechanisms in quantum systems. Contact: Office F III. mfszt 6, palyi.andras@ttk.bme.hu , +36 1 463 4109

Márk Jelasityمشاهده پروفایل

استاد

• Distributed Systems
• Peer-to-Peer Computing
• Gossip Protocols
• +۷ مورد دیگر

Márk Jelasity is a Full Professor in the Department of Algorithms and AI at the University of Szeged, Hungary, where he has been working since 2016. Previously, he served as a research advisor (equivalent to full professor) and senior research scientist at the Research Group on Artificial Intelligence (RGAI) of the Hungarian Academy of Sciences. His career includes numerous international research positions at institutions in Sweden, Norway, France, Italy, and the Netherlands. Professor Jelasity's research spans distributed systems, peer-to-peer computing, gossip protocols, and decentralized machine learning. His work bridges theoretical foundations with practical applications, particularly in the areas of self-organizing systems and privacy-preserving computation. His research has significant implications for smart grid technologies, secure distributed systems, and robust machine learning. His publication record shows a clear evolution from foundational work in gossip protocols and peer-to-peer systems toward cutting-edge research in decentralized machine learning, adversarial robustness, and privacy-preserving AI. Recent publications demonstrate his leadership in comparing gossip learning with federated learning approaches and exploring novel techniques for enhancing robustness in neural networks. Bolyai Plaquette (2015) 10 years best paper award at ACM/IFIP/USENIX Middleware Conference (2014) Best paper award at IEEE International Conference on Peer-to-Peer Computing (2014) Best paper award at IEEE International Conference on Self-Adaptive and Self-Organizing Systems (2013) Scientific Award of the Faculty of Science and Informatics, University of Szeged (2013) Fulbright Scholarship to visit Cornell University (2013) Multiple Bolyai Scholarships (2007-2014) Professor Jelasity has been actively involved in the academic community as an organizer of major conferences including DAIS'16 (TPC co-chair), SASO 2010 (General Co-Chair), and SASO 2007 (TPC co-chair). His leadership in the field is evidenced by his extensive publication record in top venues and his role in editing special issues and conference proceedings.

László Lengyelمشاهده پروفایل

استاد

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +۷ مورد دیگر

László Lengyel is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics . His work bridges theoretical and applied computer science, focusing on industrial automation, IoT systems, and model-driven engineering. Research interests include Model transformations and domain-specific languages IoT device management and multi-domain integration Software obfuscation and cybersecurity Graph algorithms and distributed computing (MapReduce) Real-time data analysis in manufacturing Automotive sensor networks His recent publications reflect expertise in model-driven IoT architectures , granule manufacturing automation , and MapReduce-based graph analysis , with a focus on industrial and automotive applications. He contributes to open-source frameworks like SensorHUB and explores gamification in driver behavior systems.

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.

Tamas Koltaiمشاهده پروفایل

استاد

• Operations Management
• Industrial Engineering
• Production Planning
• +۱۲ مورد دیگر

Tamas Koltai is a Professor at the Budapest University of Technology and Economics, affiliated with the Department of Management and Corporate Economics within the Faculty of Economic and Social Sciences. He holds a PhD in Industrial Engineering and is actively contributing to research in operations management, production planning, and industrial engineering. His research interests include: Operations Management Industrial Engineering Production Planning Assembly Line Balancing Human-Robot Collaboration Data Envelopment Analysis (DEA) Supply Chain Management Learning Curves Flexible Manufacturing Systems Performance Evaluation His recent publications focus on applying mathematical programming models (MILP, CP), simulation, and DEA to optimize assembly lines, particularly under learning effects and human-robot collaboration. He explores workload distribution, cycle time optimization, and efficiency evaluation in both manufacturing and service sectors, including healthcare and business simulation games. His work bridges theoretical models with practical industrial applications, supporting managerial decision-making under uncertainty. While no specific scientific awards are listed, his extensive publication record (over 50 papers) and high citation count reflect significant academic impact. He frequently collaborates with researchers such as Imre Dimény, Noémi Kalló, Viola Gallina, and Rita Dénes. There is no public information on PhD students advised or grants received. His work does not mention specific labs or research teams, but his focus on applied operations research suggests strong industry collaboration potential.

Gergely Mezeiمشاهده پروفایل

دانشیار

• Model-driven engineering
• Multi-level modeling
• Formal verification
• +۶ مورد دیگر

Dr. Gergely Mezei is an Associate Professor and Deputy Head of the Department of Automation and Applied Informatics at the Budapest University of Technology and Economics (BME) , Hungary. He is affiliated with the Applied Computer Science Group within the department and is actively involved in research and education in model-driven engineering and formal methods. His research interests lie at the intersection of multi-level modeling , formal verification , and model transformation systems . He has contributed extensively to the development of modeling languages and tools, particularly in the context of DMLA (Deep Multi-Level Architecture) and Melanee , focusing on enabling rigorous, scalable, and verifiable modeling practices. Dr. Mezei's work emphasizes performance optimization in model transformations, visual modeling frameworks , and domain-specific languages . His research spans both theoretical foundations and practical tool implementations, with a strong focus on bridging the gap between formal semantics and usable modeling environments. His recent publications reflect a consistent focus on advancing the state-of-the-art in multi-level modeling and formal verification , with contributions to international workshops such as MULTI and MPM . These works explore challenges in model validation, transformation correctness, and the usability of modeling tools in complex systems engineering. Contact: Email: gmezei@aut.bme.hu Office: Q.B228, Budapest University of Technology and Economics, 1117 Budapest, Magyar tudósok krt. 2., Hungary Phone: +36 (1) 463-3491

• Model checking
• Formal verification
• Safety critical systems
• +۳ مورد دیگر

Tamás Bartha serves as Associate Professor at Budapest University of Technology and Economics' Department of Control for Transportation and Vehicle Systems since 2013, following previous appointments at the Department of Measurement and Information Systems where he progressed from PhD student (1993-1996) to Assistant Professor (2001-2009) and Associate Professor (2009-2013). He concurrently holds a Senior Research Fellow position at the Institute for Computer Science and Control, MTA SZTAKI since 1998. His educational background includes an MSc in Electrical Engineering (1993) and PhD (2001) from the same institution. MSc in Electrical Engineering (1993) PhD (2001) Bartha specializes in formal verification methodologies for safety-critical systems, with particular expertise in nuclear power plant control systems. His research focuses on model checking , formal verification and validation of complex control systems , and reliability analysis of computer systems . His work bridges theoretical computer science with practical transportation and nuclear engineering applications, emphasizing fault tolerance in critical infrastructure. He leads significant projects including MTA SZTAKI's initiatives for the Paks Nuclear Power Plant, contributing to the Reactor Protection System renovation and Universal Test System development. His professional recognition includes multiple MTA SZTAKI awards and international committee memberships. IFAC Technical Committee 1.5 on Networked Systems IAEA Technical Working Group on Nuclear Power Plant Control and Instrumentation Committee on Automation and Computer Science of the Hungarian Academy of Sciences Bartha teaches specialized courses including 'Modern Automotive Products and Development Methods' and delivers formal methods lectures in 'Traffic Automation'. His industry collaborations span major transportation and engineering firms including HungaroControl, Siemens, and Robert Bosch. Fluent in English, German, and Russian, he was born in Budapest on April 22, 1969.

Jürgen Zieglerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Recommender Systems
• Explainable AI
• +۹ مورد دیگر

Jürgen Ziegler is a Senior Full Professor at the Department of Computer Science and Applied Cognitive Science within the Faculty of Computer Science at the University of Duisburg-Essen. He leads the Interactive Intelligent Systems Group, focusing on human-computer interaction, recommender systems, and explainable AI. His work emphasizes transparency, user control, and interdisciplinary collaboration with industry partners. He earned his doctoral degree from the University of Stuttgart, specializing in formal user interface design methodology. Prior to his current role, he headed the Competence Center for Software Technology and Interactive Systems at the Fraunhofer Institute for Industrial Engineering (IAO) in Stuttgart. He also served as Editor-in-Chief of the journal i-com - Journal of Interactive Media from 2001 to 2021. Ziegler’s research bridges academic and industrial domains, with applications in e-commerce, health, social media, and automotive systems. He investigates how to make intelligent technologies more transparent and user-controllable, particularly in conversational recommender systems, personalized interfaces, and social media analytics. His work integrates visualization techniques and semantic data models to enhance user experience. His recent publications focus on multistakeholder evaluation frameworks, explainable AI, and the integration of conversational agents with traditional interfaces. These studies explore domains like health promotion, smart environments, and education, using methods such as knowledge graphs, generative AI, and interactive sliders for feature dependency visualization. Ziegler founded and co-chairs the German Special Interest Group on User-Centred Artificial Intelligence. He has contributed to funded projects like SPIDER, FairWays, and PAnalytics, which address polarization in social networks, interactive recommendation, and health support systems. His leadership roles include organizing international workshops on explainable user models and user-centered AI. He supervises PhD students and advises on projects related to recommender systems, mental models, and user interaction preferences. His team collaborates on multi-method approaches for transparent decision support and the development of tools for measuring user perception of recommendation transparency. Labs and teams under his direction include the Interactive Intelligent Systems Group, which develops demonstrators like AR-based shopping advisors and hybrid recommendation frameworks. His work emphasizes both theoretical advancements and practical implementations across diverse application scenarios.

• Statistical Mechanics
• Molecular Dynamics
• Liquid Structure
• +۳ مورد دیگر

Professor András Baranyai is a Doctor of Science at Eötvös Loránd University's Institute of Chemistry, where he leads research in physical chemistry and molecular modeling. His work focuses on developing advanced computational methods to understand liquid structure and ion interactions. Research interests explore: Molecular dynamics of aqueous systems Statistical mechanics foundations Polarizable force fields Water's anomalous properties Interfacial phenomena Astrochemical processes His publications demonstrate consistent focus on water structure, ionic solutions, and methodological advances in molecular simulation techniques. Laboratory activities include development of novel algorithms for charge distribution calculations and validation of molecular models against experimental data.

• Explosion Protection
• Biogas Technology
• Combustion Engineering
• +۵ مورد دیگر

Dr. Zoltán Siménfalvi serves as Dean of the Faculty of Mechanical Engineering and Informatics at the University of Miskolc, Hungary, holding the academic rank of Professor. His leadership encompasses oversight of academic programs, research initiatives, and administrative functions within the faculty, positioning him at the forefront of mechanical engineering education and innovation in Central Europe. His research spans explosion protection, biogas technology, combustion engineering, and sustainable energy systems. Key focus areas include computational fluid dynamics (CFD) simulations for hazardous area classification, flash point determination of flammable mixtures, hydrogen/methane dispersion modeling, and optimization of anaerobic digestion processes. His work bridges theoretical analysis with industrial applications in energy safety and renewable resource utilization. Analysis of his 15 most recent publications (2022-2024) reveals dominant themes in explosion hazard analysis (60% of works), particularly 2D/3D hazardous area modeling, gas detector performance in ammonia environments, and FLACS-CFD simulations for hydrogen-methane mixtures. Biogas technology constitutes 25% of output, emphasizing mixing efficiency in anaerobic digesters and process optimization. Remaining research addresses sustainable engineering through carbon capture strategies for V4 countries, coal gasification efficiency, and propane leakage dynamics. No scientific awards were documented in the available materials. Information regarding student advising, research grants, or laboratory supervision was not provided in source materials. His administrative role as Dean suggests strategic oversight of research funding and academic programs, though specific grant details remain unreported. No dedicated research laboratories or specialized teams were explicitly referenced, though his publications indicate collaboration with computational modeling groups and industrial safety partners for experimental validation of CFD simulations.

Károly Simonمشاهده پروفایل

استاد

• Fractal Geometry
• Dynamical Systems
• Geometric Measure Theory
• +۲ مورد دیگر

Károly Simon is a Professor of Mathematics at the Budapest University of Technology and Economics , where he serves as Head of the Department of Stochastics and Head of the Doctoral School of Mathematics and Computer Science . He is affiliated with the Institute of Mathematics and leads research in fractal geometry, dynamical systems, and complex networks. Education : MSc thesis and initial research in real-time functions at the University of Szeged under Vilmos Totik, followed by PhD studies at ELTE under Miklós Laczkovich, and an MTA PhD (2007) on fractals under Péter Major. His research spans fractal geometry , dynamical systems , and complex networks . Key contributions include studies on random fractals (Mandelbrot percolation, 2000-present), deterministic hyperbolic systems (1990s), and complex networks (2009-present), including leadership in a five-group consortium project and the TAMOP Theoretical Foundations of the Future Internet. Scientific Recognition : Alixits Prize (Hungarian Academy of Sciences, 2001) Bolyai Plaque (2008) Advising : Supervised 3 doctoral graduates (Balázs Bárány, Júlia Komjáthy, Péter Móra) and advises 4 ongoing PhD candidates (István Kolossváry, Roland Molontai, Hajnal Tóth, Lajos Vágó). Collaborated with international scholars including Michel Dekking, Michal Rams, and others. Leadership & Service : OTKA mathematics jury chairman (2010-2012), member of Hungarian Bar Association's committee (2008-2012), editor of Central European Mathematical Journal (2003-2007), and organizer/co-organizer of fractal/dynamical systems conferences in Poland, India, Hong Kong, and France.