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 .
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.
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.
Roles: Full Professor at Budapest University of Technology and Economics (BME), leading the Laboratory of Cryptography and Systems Security (CrySyS Lab) . Specializes in cyber security, IoT security, and privacy technologies. Served as Associate Editor for IEEE Transactions on Mobile Computing and Elsevier Computer Communications. Education: M.Sc. in Computer Science, BME (1995) Ph.D. in Computer Science, Swiss Federal Institute of Technology Lausanne (EPFL, 2002) Habilitation at BME (2013) Doctor of Science, Hungarian Academy of Sciences (2021) Research Interests: Focuses on malware detection on embedded systems, security of industrial control systems, and privacy-preserving AI. Current projects include DOSS (IoT supply chain security), SECURED (health data security), and SPAM (AI and cybersecurity). Published over 150 papers and co-authored books on wireless network security and cryptographic obfuscation. Grants & Awards: Awarded Dennis Gabor Award (2024), Bolyai Fellowship (2008-2011), and led EU projects like SEVECOM and WSAN4CIP. Current grants include H2020 DOSS and OTKA-funded research on federated learning incentives. Advising: Supervised 13 PhD students, including current faculty members (e.g., András Gazdag, Dorottya Papp). Active in mentoring CTF teams like !SpamAndHex (DEFCON qualifier). Labs & Teams: Director of CrySyS Lab, leading research in embedded device security, vehicle cyber defense, and industrial IoT resilience. Active in EDIH cybersecurity consulting for SMEs.
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.
Balazs Vedres is a **Professor** at the **Central European University (CEU)**, with a joint appointment in the **Department of Network and Data Science**. His research integrates network science, data science, and social theory to explore creativity, innovation, and historical processes in collaborative networks. He holds a **PhD in Sociology from Columbia University** and an **MA in Economics from Corvinus University**. **Research Interests**: Focuses on structural dynamics in creative fields (e.g., jazz, video games, open-source software), gender inequality in collaborative platforms, historical network evolution, and the impact of social bots on human collaboration. He analyzes how network configurations like *structural folds* and *forbidden triads* drive innovation and creativity. **Awards**: Elected **Member of the European Academy of Sociology (2017)**, recognizing his contributions to sociological research. His work bridges computational methods with sociological theory, as seen in his publications in *American Journal of Sociology* and interdisciplinary journals. **Projects**: Leads initiatives like *Gendered Creative Teams: From Marginality to Success* and *Ceunet/Indra Mapping European Network Science*. His research often involves empirical studies of transnational activism, entrepreneurial networks, and digital platforms. **Labs/Teams**: Active in CEU’s **Data and Network Dynamics Studies (DNDS)** group, fostering interdisciplinary collaboration in computational social science. His work emphasizes the interplay between global economic integration and local developmental agency.
Péter Makk is an Associate Professor and Deputy Head of the Department of Physics at the Budapest University of Technology and Economics , Faculty of Natural Sciences (TTK). His research focuses on quantum transport phenomena, spin-orbit coupling, and superconducting devices at the nanoscale. Email: makk.peter@ttk.bme.hu Office: F I. 1st floor, 7 Research Interests Makk's work centers on quantum physics and condensed matter physics , particularly in nanotechnology and spintronics . He investigates: Pressure-tunable phase transitions in 2D materials Microwave dynamics of superconducting nanowires Gate-controlled superconducting currents Spin-orbit coupling in heterostructures Josephson junctions and Andreev molecules Quantum transport in graphene and related systems Scientific Trends in Publications His recent articles (2025-2024) highlight advancements in: Topological materials and quantum electronics Hybrid superconducting-semiconducting systems Pressure engineering of electronic properties Gate-controlled quantum devices Spin-Orbit Torque and magnetoresistance Graphene-based heterostructures and transport
Mahler András , Associate Professor at the Faculty of Engineering (Budapest University of Technology and Economics), specializes in Geotechnical Engineering and Soil Mechanics within the Department of Engineering Geology and Geotechnics . His research integrates numerical modeling and empirical testing to address geotechnical challenges in infrastructure and construction materials. Department: Engineering Geology and Geotechnics Email: mahler.andras@emk.bme.hu Courses: Soil Mechanics, Geotechnical Finite Element Analysis, Numerical Methods in Geotechnics Research Focus Mahler's work emphasizes: Geotechnical Testing : CPT-Vs correlations, hypoplastic parameter calibration, and permeability studies. Material Behavior : Analysis of rolled asphalt, concrete seepage, and collapsible soils. Seismic Applications : Liquefaction hazard assessment and seismic fragility of embankments. His recent publications highlight advancements in soft clay characterization , asphalt modeling , and sustainable soil stabilization using sewage sludge ash. Awards Építő250 Scholarship
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.
Anna Róza Unger is an Associate Professor at the Institute of Political and International Studies , Eötvös Loránd University , where she works in the Department of Human Rights and Politics . She is also affiliated with the Research Center for Computational Social Science (RC2S2) . Her research focuses on Political Science , Human Rights , and Computational Social Science . Contact: unger.anna@tatk.elte.hu
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 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.
Dr. habil. Dringó-Horváth Ida is an Associate Professor at the Faculty of Humanities and Social Sciences of Károli Gáspár University of the Reformed Church in Hungary (KRE). She serves as Head of the ICT Research Center under the Rector's Office and as Head of the Educational Informatics Continuing Education Center at KRE BTK. Her leadership extends to multiple research projects focused on educational technology in higher education, particularly examining digital competencies, teacher development, and the integration of information and communication technologies in academic settings. Dr. Dringó-Horváth earned her PhD in German Studies/Linguistics from Eötvös Loránd University in 2004, with a dissertation titled "Analysis and Evaluation of the Modern Teaching and Learning Medium 'Elektronisches PC-Wörterbuch'." She completed her habilitation in Educational Science at the same institution in 2019. Her academic background includes an MA in German from Eötvös Loránd University (1998) and additional qualifications in educational informatics and social work. Her research focuses on the intersection of educational technology and higher education pedagogy, with particular emphasis on digital competence development for teachers, dictionary skills in language learning, and the digital transformation of educational practices. Dr. Dringó-Horváth leads the "Educational Informatics in Higher Education" research project, which examines effective learning/teaching opportunities in electronic learning environments and maps ICT indicators of higher education lecturers. Her work explores how reflection processes contribute to long-term teacher competency development in the digital age. Analysis of her recent publications reveals a strong focus on artificial intelligence in higher education, technostress reduction, and digital competence measurement. Her research shows how digital transformation impacts both teaching practices and student learning experiences. She has made significant contributions to understanding how educators develop digital competencies and integrate technology into their teaching practices across different disciplines. Károli Kiválóság Díj (2022) for Q1 publication Károli Kiválóság Díj (2023) for Q1 publication Károli Kiválóság Díj (2023) for Q2 publication A. S. Hornby Trust Grant for dictionary research presentation at EURALEX Conference Dr. Dringó-Horváth actively mentors doctoral students including Sebestyén Lilla Anna, Veres Violetta, and Gulmira Kusajynkyzy. She serves as institutional coordinator for multiple significant research projects including "PROFFORMANCE+" (2022-2025), "Ensuring Quality Digital Higher Education in Hungary" (2022-2023), and "Support of Digital Transformation of Hungarian Higher Education" (2021-2022). Her grant portfolio demonstrates strong institutional support for her work in educational technology and faculty development. As leader of the ICT Research and Training Centre (Educational Technology Research and Training Centre), Dr. Dringó-Horváth oversees a dynamic team conducting research on information and communication technologies in higher education. The center collaborates with international and domestic institutions to develop best practices for digital learning environments. Her team's work has significantly influenced Hungarian higher education policy regarding digital transformation and teacher development.
Dr. habil. Simon János PhD is an Associate Professor at the University of Szeged's Faculty of Engineering, Institute of Technology. Born on July 27, 1980, he maintains his office at 6724 Szeged, Moszkvai krt. 9. Room F9, with contact number +36-62-546-575. His educational background includes IT engineering and electrical engineering from Technical College of Subotica (1999-2005), Certified Computer Engineering from University of Novi Sad (2005-2008), PhD in Engineering from University of Osijek (2008-2014), and habilitation from Óbuda University Doctoral School of Security Sciences (2020). English (intermediate, complex) Serbian (advanced, complex) Dr. Simon's research focuses on design and programming of Internet of Things environments, hardware and software development of mobile robots and wireless sensor networks, and analysis of Industry 4.0 case studies. His teaching portfolio includes Computer Modeling, Simulation courses, Microcontrollers, Graphical Programming at BSc level, and Real-time systems, Autonomous and intelligent robots at MSc level. He serves as Associate Editor for Analecta Technica Szegedinensia and is a member of the Higher Education Management Education Methodology Association (FIOM). His international experience includes CEEPUS mobility to Timisoara, Erasmus mobility to multiple Romanian cities, and participation in IoTTech Expo Global in London.
Dr. Bagi Katalin is a Professor at the Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics. Her research focuses on micromechanics of granular materials, discrete element modeling, and the structural analysis of masonry and Gothic-era constructions. Micromechanics of granular materials Discrete element modeling Mechanics of masonry structures Statics of Gothic masonry structures Computational mechanics Structural analysis She has received prestigious research grants and scholarships, including multiple Bolyai János Research Grants from the Hungarian Academy of Sciences and the Korányi Civil Engineering Scholarship. Her teaching portfolio spans advanced mechanics and structural engineering courses in both Hungarian and English. Hungarian Academy of Sciences, Bolyai János Research Grant (1998-2001) Hungarian Academy of Sciences, Széchenyi István Scholarship (2002-2005) Hungarian Academy of Sciences, Bolyai János Research Grant (2005-2008) Dr. Imre Korányi Civil Engineering Scholarship (1991-1992) CEEPUS Scholarship (2002) Dr. Bagi has supervised PhD students such as Lengyel Gábor, Szakály Ferenc, and Forgács Tamás, and has held visiting researcher positions at institutions like Cornell University and Technical University of Wien.
