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.
Róbert Lakatos is an Assistant Professor at the Faculty of Informatics, University of Debrecen, affiliated with the Department of Data Science and Visualization. His work aligns with the department's focus areas, including data processing, data visualization, machine learning, and computer graphics. University: University of Debrecen School: Faculty of Informatics Department: Department of Data Science and Visualization Email: lakatos.robert@inf.unideb.hu Research interests are inferred from the department's profile, emphasizing machine learning, deep learning, image processing, and geospatial data visualization. No specific scientific awards or publications are detailed in the provided information.
József Garay is a Senior Research Fellow at the ELTE-MTA Theoretical Biology and Evolutionary Ecology Research Group, part of the Department of Plant Systematics, Ecology and Theoretical Biology at Eötvös Loránd University in Budapest, Hungary. His research spans evolutionary biology, mathematical ecology, and game theory, with a particular focus on evolutionary stable strategies and their applications to biological systems. Dr. Garay received his M.Sc. in Biology from Eötvös University (1981-1986), followed by postgraduate studies in Mathematics (1985-1989). He completed his PhD at the Hungarian Academy of Science in 2004, after doctoral studies in the Department of Plant Taxonomy and Ecology (1990-1994) and a summer school on Evolutionary Models of Cooperation in Seewiesen, Germany (1994). Garay's research interests center on evolutionary game theory and its applications to biological systems. He has made significant contributions to understanding evolutionarily stable strategies (ESS) in sexual populations, the evolutionary roots of morality, and the mathematical foundations of population dynamics. His work bridges theoretical mathematics with practical ecological applications, particularly in areas like optimal foraging, habitat selection, and the evolution of cooperation. A key aspect of his research involves extending classical game theory concepts to more complex biological scenarios, including multi-species systems and time-constrained evolutionary processes. His work on the evolutionary stability of self-sacrificing behavior and the relationship between individual fitness and group survival has provided important insights into the evolution of altruism and social behavior. Analysis of Garay's recent publications reveals a consistent focus on evolutionary game theory applied to biological systems, with increasing sophistication in modeling approaches. His work has evolved from foundational studies on evolutionarily stable allele distributions (ESAD) to more complex applications in areas like cannibalism dynamics, predator-prey interactions, and kin selection. There's a clear trajectory toward more integrative models that combine mathematical rigor with biological realism, often addressing questions at the intersection of evolutionary theory, ecology, and behavior. Notably, his research increasingly incorporates mathematical modeling techniques to analyze complex ecological phenomena, demonstrating the power of theoretical approaches to address empirical biological questions. Dr. Garay has received several prestigious awards and fellowships throughout his career: Juhász-Nagy Pál junior fellowship at Collegium Budapest Institute for Advanced Study (1999-2000) NATO research fellowship at Wilfrid Laurier University, Waterloo, Canada (2002) Research fellowship at Konrad Lorenz Institute, Austria (2005) Bolyai János fellowship of the Hungarian Academy of Sciences (2006-2008) While specific information about his advising activities is limited in the provided materials, Garay's extensive publication record spanning over three decades suggests he has likely mentored numerous graduate students and early-career researchers. His collaborations with colleagues like Zoltán Varga, Manuel Gámez, and Tomás Cabello indicate a strong network of research partnerships. Garay has secured multiple research grants supporting his work, including the Bolyai fellowship and international research opportunities that have enabled him to extend his theoretical models to practical ecological applications. His work on ecological monitoring systems demonstrates how theoretical frameworks can be applied to real-world environmental challenges. Garay is a core member of the HAS Theoretical Biology Group at Eötvös Loránd University, where he contributes to a vibrant research environment focused on mathematical approaches to biological problems. His work intersects with several research teams studying evolutionary ecology, population dynamics, and mathematical biology, creating opportunities for interdisciplinary collaboration on complex biological questions that require both theoretical insight and empirical validation. The group's research has significant implications for understanding fundamental biological processes and developing more effective conservation and management strategies.
Ildikó Horn is a Professor at the Eötvös Loránd University , where she serves as Director of the Institute of Historical Studies and works in the Department of Medieval and Early Modern History of Hungary . Her research focuses on Early Modern History , Renaissance Humanism , and the political elites of Transylvania , with particular emphasis on interdisciplinary networks and cultural exchange in divided Hungary (1541–1699). Her recent publications analyze the princely council under Gábor Bethlen , the construction of Transylvanian court culture , and the role of marriage alliances in elite power consolidation . She has contributed to comparative studies on European principalities and diplomatic information flow in the early modern period. Her work often intersects with digital humanities through the creation of databases on aristocratic networks . As an active participant in the academic community, she has published extensively in venues like the Hungarian Historical Review and Transylvanian Review , and her research has been cited in studies examining state formation , legal elites , and multi-ethnic societies in Central and Eastern Europe.
Tamás Lovas serves as Associate Professor at the Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics. He teaches advanced courses in Building Information Modeling, Laser Scanning, Remote Sensing, and Intelligent Transportation Systems while supervising diploma theses in Surveying and Geoinformatics Engineering. Education: 1994: High school graduation, Városmajor High School, Budapest 1999: Certified Surveyor and Geoinformatics Engineer, Budapest University of Technology, Faculty of Civil Engineering 2005: PhD (Earth Sciences), Budapest University of Technology and Economics, Faculty of Civil Engineering Research Interests: Dr. Lovas specializes in laser scanning technologies and geospatial data processing with emphasis on airborne and terrestrial point cloud analysis. His work bridges civil engineering applications and computational methods, particularly in infrastructure monitoring and digital representation. Processing, classification, and modeling of airborne laser scanned data Accuracy testing of terrestrial laser scanning Processing and modeling of terrestrial laser scanned data Comparative study of spatial data acquisition technologies His 2022-2025 publications demonstrate accelerating integration of artificial intelligence in point cloud processing, with significant contributions to road surface extraction, urban land cover classification, and BIM automation. Current research trends show strong focus on digital twin development for autonomous vehicles and infrastructure management. Scientific Awards: Republic Scholarship (1998-1999) Karlsruhe Chancellor's Scholarship (1999) ERASMUS scholarship (2000) Korányi Fellowship (2001-2002) János Bolyai Research Scholarship (2008-2011) OHV 1st place (2008) Dean's commendation for ERASMUS committee work (2014) For Students Award - Teaching Department (2017) Advising and Grants: Dr. Lovas mentors students through diploma theses and TDK research projects on topics including object survey with amateur sensors and hull modeling. His research funding includes the prestigious János Bolyai Research Scholarship and international fellowships supporting collaborations with institutions like The Ohio State University. Labs and Teams: As founding member and supervisory board member of the Hungarian BIM Association, he drives industry-academia collaboration. His leadership roles include Deputy Dean of Education at the Faculty of Civil Engineering and responsibility for English language training programs, facilitating international academic exchange.
Dr. Attila Balogh is an Associate Professor at the Department of Automation and Applied Informatics within the Budapest University of Technology and Economics . His work focuses on advanced pharmaceutical technologies, particularly electrospinning for drug delivery systems. He has contributed to scalable manufacturing methods for solid dispersions and dissolution enhancement techniques. Research spans electrospinning, melt extrusion, and 3D printing for pharmaceutical applications Key areas include stability of amorphous drugs, biopharmaceutical modeling, and nanoparticle/nanofiber formulation Publications highlight collaborations between materials science and drug delivery optimization Contact: Budapest 1117, Magyar tudósok krt. 2., Balogh.Attila@aut.bme.hu
Gergely Csibra is a Professor and Principal Investigator at the Central European University. He leads the Cognitive Development Center, focusing on cognitive development in human infants, particularly how infants understand actions, social interactions, and communication. His research employs behavioral and neuroimaging methods to explore topics like social cognition, episodic memory, and symbol use. His academic background spans developmental psychology and cognitive science. Current and former PhD students include Mariem Diané, Denis Tatone, and others. Csibra’s work emphasizes methodological diversity, integrating experimental and theoretical approaches. Research interests include infants' understanding of social relationships, mental state attribution, and symbolic representation. His studies investigate how infants interpret communication, learn from others, and form social evaluations. Key themes involve the cognitive foundations of cooperation and communication in early development. Despite prolific publication output (over 100 articles listed), no explicit scientific awards are cited in the provided text. His lab, the Cognitive Development Center, serves as a hub for collaborative research projects and methodological innovation in developmental science.
Brigitta Szabó is a Lecturer at the Department of Developmental and Clinical Child Psychology within Eötvös Loránd University. Her research focuses on parental reflective functioning, adolescent mental health, and psychopathology, with a particular emphasis on questionnaire adaptation and cultural context analysis. She holds affiliations through institutional platforms like MTMT.hu and Doktori.hu. Her work bridges clinical and developmental psychology, addressing topics such as eating behaviors in adolescents, stress management, and quality of life assessment. Institution: Eötvös Loránd University Department: Department of Developmental and Clinical Child Psychology Her research interests include mentalizing processes in youth, attachment theory, and the psychometric evaluation of psychological tools. Recent studies explore parental competence, chronic disease impact on adolescents, and cultural factors influencing eating attitudes. She contributes to both theoretical and applied aspects of child psychology through her publications and methodological adaptations.
Dr. Gergely Vakulya is an Associate Professor and Research Fellow at Óbuda University. He specializes in interdisciplinary research spanning cybersecurity, agricultural technology, sensor networks, and image processing. His work integrates hardware design, algorithm development, and real-world applications. Dr. Vakulya’s recent focus includes developing rumen bolus sensors for dairy cattle health monitoring, gamification of cybersecurity training, and innovative methods in camera exposure time measurement. He is affiliated with Óbuda University’s Budai Road and Pirosalma Street campuses, with an office at building F room 316. His research frequently addresses challenges in data collection, sensor fusion, and embedded systems. Research Interests: Dr. Vakulya’s expertise includes cybersecurity frameworks (e.g., CTF challenges), agricultural IoT systems (e.g., rumen bolus sensors for livestock monitoring), and image processing techniques (e.g., genetic algorithms for shape approximation). His work on visible light communication (VLC) and wireless sensor networks highlights his contributions to communication protocols and energy-efficient systems. Recent trends in his publications emphasize cross-disciplinary approaches, such as applying AI methods to agricultural sensor data and optimizing sensor networks for real-time applications. Advising & Grants: No specific advising relationships or grants are listed in available materials. His research infrastructure is likely supported through institutional and collaborative projects. Labs/Teams: While not explicitly stated, his research likely involves collaborations within Óbuda University’s engineering and computer science departments. His work on rumen sensors and VLC systems suggests potential affiliations with robotics, biomedical engineering, or smart agriculture research groups.
Péter Korondi is a Professor at the University of Debrecen in Hungary, affiliated with the Department of Electrical Engineering and Mechatronics . His work spans robotics, control theory, and industrial automation, with a focus on bio-inspired systems and human-robot interaction. Research Interests : Robotics, Mechatronics, Control Theory, Human-Robot Interaction, Industrial Automation, Sensor Fusion Recent Article Trends : Sliding mode control, friction compensation in micro-telemanipulation, path planning for mobile robots, smart industrial systems Collaborations : Co-authored works with Gabor Sziebig, Ferenc Tajti, Géza Szayer, and international researchers in IEEE Transactions , Sensors , and Acta Polytechnica Hungarica . Technological Focus : Development of rehabilitation devices, holonomic drive systems, and ethorobotics models inspired by animal behavior.
Dr. Sándor Baranya is an Associate Professor at the Department of Hydraulic Engineering and Water Management, Faculty of Civil Engineering, Budapest University of Technology and Economics. As Head of Department and Faculty Council Member, he leads educational initiatives and chairs institutional committees. Specializes in river hydraulics and sediment transport Active in Danube River studies and environmental monitoring Develops numerical models for morphodynamics and pollution assessment His research integrates advanced measurement techniques like LSPIV, acoustic mapping, and deep learning for riverbed analysis. Recent work focuses on microplastic contamination, thermal discharge impacts, and sediment budget modeling in large rivers. Publications emphasize computational fluid dynamics, river restoration, and EU Water Framework Directive compliance. Scientific awards include the #builder250 scholarship. He teaches courses on hydraulics, hydromorphology, and water systems modeling, with a consultation schedule on Mondays.
Professor Árpád Barsi is a faculty member at the Budapest University of Technology and Economics, Faculty of Civil Engineering, Department of Photogrammetry and Geoinformatics. He serves on the Habilitation Committee and Doctoral Council. His teaching subjects include Digital Earth, Photogrammetry, Geoinformatics, and Intelligent Transportation Systems. Research Focus: Digital photogrammetry, geospatial analysis, digital image processing, artificial intelligence, and vehicle navigation. Scientific Awards: #builder250 scholarship
Tibor Guzmics is a Research Fellow and lecturer at Eötvös Loránd University's Institute of Geography and Earth Sciences, specializing in petrology and geochemistry. His research focuses on carbonatite magmatism, fluid and melt inclusions, and mantle processes. Primary affiliation: Department of Petrology and Geochemistry Secondary affiliation: Center of Earth Sciences Email: tibucka@caesar.elte.hu His work investigates the geochemical behavior of minerals during energy storage, trace element transport in carbonatite systems, and magmatic processes in rift zones. He employs advanced techniques like 3D Raman mapping and FIB-SEM to analyze fluid inclusions and melt compositions. Trends in his publications (2024–2020) emphasize carbonatite genesis via liquid immiscibility, fluid inclusion characterization, and mantle xenolith studies. Key methodologies include experimental geochemistry and high-resolution imaging.
Dr. Márta Seebauer is an Associate Professor at Alba Regia Faculty of Óbuda University. Her research spans interdisciplinary areas including artificial intelligence applications in energy systems, structural engineering reliability analysis, financial risk modeling, and sensor technology for food quality assessment. She maintains an active publication record with work showcased in IEEE symposiums and specialized journals. Email: seebauer.marta@uni-obuda.hu Consultation Hours: Thursdays 14:00-15:00 Her research interests emphasize practical applications of computational methods in civil, environmental, and smart city technologies. Recent work includes neural network-based energy monitoring systems and asbestos risk mitigation strategies during building demolition.
Prof. Gyula Simon is a faculty member at Óbuda University's Alba Regia Faculty, where he holds the rank of Professor. His research focuses on sensor networks, localization systems, and signal processing. He has contributed extensively to advancements in technologies like TDOA-based positioning, VLC communication, and acoustic source tracking. With over two decades of academic work, his publications span applications ranging from agricultural sensors to fault-tolerant indoor positioning systems. Key research interests include developing robust localization algorithms for both outdoor and indoor environments, optimizing wireless sensor networks for energy efficiency and reliability, and integrating emerging technologies like visible light communication (VLC) for beaconing and tracking. His work bridges theoretical signal processing with practical implementations in fields like smart agriculture and security systems. Recent articles highlight innovation in hyperbolic localization methods, sparse sampling techniques for camera systems, and semi-automatic plant growth monitoring. Despite prolific publication output, no scientific awards are explicitly listed. Consultation hours are arranged via email at simon.gyula@amk.uni-obuda.hu, with his office located at Building F Room 316 in Székesfehérvár.
