SERES Noémi is an Assistant Professor at the Department of Structural Engineering , Budapest University of Technology and Economics . Her academic work focuses on computational modeling and structural analysis of steel and composite systems. Research Interests : SERES specializes in Structural Engineering , with emphasis on Composite Materials , Computational Modeling , and Steel-Concrete Interaction . Her research investigates shear connections, interface interlock, and numerical simulation techniques for composite slabs and steel structures. Scientific Awards : építő250 Scholarship Academic Contributions : She has published extensively on computational methods for steel-concrete composites, including shear connection modeling and concrete-encased embossments. Her work bridges experimental and numerical studies to enhance structural performance.
Dr. NÉMETH Róbert is an Associate Professor and Head of the Department of Structural Mechanics at the Budapest University of Technology and Economics . With a PhD in Civil Engineering (2004), he has contributed significantly to nonlinear structural mechanics, particularly in elastic rod analysis and finite element modeling. Current roles: Associate Professor, Department Head Key affiliations: Budapest University of Technology and Economics, Cornell University (visiting scientist) His research focuses on nonlinear dynamics of elastic systems, with applications to: Nonlinear normal modes Free vibration analysis Seismic response of masonry structures Elastic filament networks Continuum mechanics Finite element modeling Article trends show a consistent exploration of piecewise linear systems and cracked structures across decades, combining analytical and numerical approaches. Scientific awards include: DAAD Scholarships (1999, 2001) Dr. Imre Korányi Civil Engineering Scholarship (2004-2005) He has taught courses in structural dynamics, finite element methods, and mechanics in Hungarian, German, and English, while also serving on university committees.
Lengyel Gábor is an Assistant Professor at the Department of Structural Mechanics within the Faculty of Civil Engineering, Budapest University of Technology and Economics. His research focuses on the mechanical behavior of masonry structures, particularly under seismic loads, Gothic arches, and cracked structural elements. Education: MSc in Civil Engineering (2013), BSc in Civil Engineering (2011) from Budapest University of Technology and Economics His work spans structural dynamics, discrete element modeling, and numerical analysis of historical and modern masonry systems. Recent publications emphasize seismic response, crack propagation, and load-bearing capacity of Gothic vaults. Key contributions include studies on: Mechanical role of ribs in masonry vaults Free vibration of cracked arches Optimization of Gothic arch thickness Scientific award: #építő250 scholarship Teaching experience includes conducting Hungarian-language practical courses in 'Szilárdságtan' (Strength of Materials) and 'Dinamika' (Dynamics).
Dr. FÜLÖP Roland is an Associate Professor at the Department of Sanitary and Environmental Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics. His professional activities focus on urban water infrastructure management, with extensive experience in hydraulic modeling, pipeline failure analysis, and water distribution systems optimization. Current Courses: Dewatering (BMEEOVKMI53) Public water utility systems modelling (BMEEOVKMV63) Public Works I. (BMEEOVKAT42) Research Interests: His work addresses critical challenges in water infrastructure sustainability through advanced modeling techniques and data-driven decision-making. Key research areas include: Hydraulic model calibration for complex networks Probabilistic failure prediction in pipeline systems Optimization of water balance calculations Pressure management in distribution zones Long-term infrastructure rehabilitation planning Integration of mobile technologies for utility management
Attila Juhász serves as an Associate Professor within the Department of Photogrammetry and Geoinformatics at the Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). His academic responsibilities include teaching courses such as Digital Surface Modeling, Geospatial Information, Civil Engineering Informatics, and Monitoring and GIS, alongside supervising thesis work through course BMEEOFTTATZ. He maintains active research in geospatial technologies with emphasis on historical applications. His research program centers on applying geospatial information systems and remote sensing to reconstruct historical military operations, particularly World War II events. He develops methodologies for bomb crater detection, fortification mapping, and battlefield analysis using LiDAR and multi-temporal GIS. A significant contribution involves solving temporal data management challenges in historical reconstructions, enabling accurate modeling of evolving military landscapes. His work bridges technical geospatial innovation with humanities scholarship in archaeology and military history. Analysis of his publication record reveals consistent specialization in automated detection of World War II artifacts through LiDAR and spatial data fusion. His research demonstrates progressive technical sophistication from early 2000s case studies to current AI-enhanced object recognition systems. The work establishes critical frameworks for conflict archaeology and has produced notable reconstructions including Budapest defense lines and the Attila-line fortifications. No scientific awards or major fellowships are documented in the available sources. Dr. Juhász supervises thesis research as evidenced by course BMEEOFTTATZ, but specific student names and research grant details remain unreported in the source material. His teaching portfolio indicates extensive mentorship across undergraduate and graduate geospatial curricula. He maintains operational affiliation with the Endre Németh Measurement Station and Education Center, which provides critical infrastructure for geospatial data collection, LiDAR processing, and field-based historical reconstruction projects. This facility supports both his research initiatives and practical student training in advanced surveying techniques.
Dr. KNOLMÁR Marcell is an Assistant Professor at the Department of Sanitary and Environmental Engineering within the Faculty of Civil Engineering at Budapest University of Technology and Economics (BME) . He teaches courses including Infrastructural CAD, Legal Aspects of Water and Environment, and Public Works I, focusing on practical and regulatory dimensions of infrastructure design. His research spans urban drainage systems , climate change resilience , computational fluid dynamics , and GIS applications in wastewater management. Recent work emphasizes green stormwater infrastructure (GSI) , sewer network vulnerability assessments , and integrated hydraulic modeling for climate adaptation. Scientific awards include the Magyar Felvételi Scholarship (#építő250) . His publications reflect collaboration with the EU 5 Framework Program (CARE-S project) and long-term contributions to wastewater management , stormwater modeling , and environmental engineering in Hungary.
Dr. Attila Kuki is an Associate Professor at the University of Debrecen , affiliated with the Faculty of Informatics , Department of Informatics Systems and Networks . His primary research areas include Queueing Theory , Modeling Infocommunication Systems , Reliability Theory , and Modeling Stochastic Systems . Email: kuki.attila@inf.unideb.hu Research Interests: Queueing Theory Infocommunication Systems Reliability Theory Stochastic Systems Recent Publications focus on retrial queues, two-way communication systems, server reliability, collision handling, and stochastic modeling. These works often integrate simulation and numerical analysis to evaluate system performance under catastrophic breakdowns and impatience scenarios. Departmental Affiliation: The Department of Informatics Systems and Networks explores topics such as real-time communication, sensor networks, and distributed systems, aligning with Dr. Kuki's expertise.
Dr. Henrietta Tomán serves as an Assistant Professor in the Department of Data Science and Visualization at the University of Debrecen's Faculty of Informatics, where she bridges advanced mathematical theory with practical medical imaging applications. Her work integrates abstract algebraic structures with cutting-edge AI systems to solve critical healthcare challenges. Her research portfolio spans three interconnected domains: Medical image processing (particularly ensemble-based segmentation and quality assessment for ophthalmic diagnostics) Geometric structures (quasigroups, loops, and differentiable manifolds) Stochastic optimization for resource-constrained AI systems Analysis of her publication trajectory reveals evolving expertise: early work (2010-2014) established foundations in geometric loop theory applied to image processing, while recent research (2020-2024) pioneers stochastic fusion techniques for medical image ensembles under computational constraints. Her most significant contributions involve translating mathematical abstractions into robust clinical decision-support tools, particularly in diabetic retinopathy detection and epidemic modeling. Current work demonstrates increasing focus on real-time AI systems that maintain accuracy under hardware limitations, reflecting urgent needs in telemedicine and mobile health applications. Dr. Tomán maintains active collaboration within the Doctoral School of Informatics and contributes to Hungary's national research initiatives in medical AI, with consistent publication output in top-tier venues spanning computer vision, medical imaging, and mathematical computing.
János Török is an Associate Professor at the Department of Theoretical Physics, Budapest University of Technology and Economics, affiliated with the Morphodynamics group. His research spans granular materials, social network modeling, and morphodynamics of pebbles. Granular materials: Quasi-static shearing, shear band formation, particle shape effects, hopper flow Social science: Conflicts on Wikipedia, consensus modeling, social network dynamics Morphodynamics: Collective abrasion, fragmentation of pebbles His recent publications focus on computational modeling of granular physics and social dynamics, with applications in machine learning for malaria detection. Articles highlight interdisciplinary approaches to phase transitions, network analysis, and material deformation. Shear zones in granular materials Deep learning for social network parameters Malaria detection software He is involved in open-source projects (WWM, Mozi) and teaches courses in mathematical methods, mechanics, and scientific programming.
Ádám Tóth serves as an Assistant Professor at the Institute of Geography and Earth Sciences within the Faculty of Science at Eötvös Loránd University, Budapest. He maintains additional affiliations with the Department of Physical and Applied Geology, the Center of Earth Sciences, and the Tóth József és Erzsébet Hydrogeology Research Group, reflecting his integrated role across multiple hydrogeological units. His research centers on numerical modeling of complex groundwater systems, with particular expertise in karst hydrogeology, thermal convection processes, and climate change impacts on water resources. Key focus areas include the Buda Thermal Karst system, managed aquifer recharge (MAR) for ecosystem preservation, and surface water-groundwater interactions in lake environments. His methodological approach combines field observations with advanced computational simulations to address water security challenges in both Hungarian and international contexts (e.g., Pakistan, Romania). Analysis of his 15 most recent publications (2019-2025) reveals a consistent trajectory in investigating multi-driver groundwater flow systems, where topography, salinity gradients, and thermal forces interact in confined-unconfined aquifers. His work increasingly addresses climate change implications for groundwater-dependent ecosystems and lake water budgets, demonstrating practical applications for sustainable water management. No scientific awards were documented in the available sources. Information regarding students advised or research grants remains unavailable in the provided materials. Dr. Tóth actively contributes to the Tóth József és Erzsébet Hydrogeology Research Group, which conducts fundamental and applied studies on Hungarian karst systems and groundwater resources.
ZSUGYEL Márton serves as a Research Fellow at the Department of Hydraulic and Water Resources Engineering within the Faculty of Civil Engineering at Budapest University of Technology and Economics (BME). His work bridges experimental hydraulics and computational river dynamics, with primary responsibilities including research leadership and instruction in advanced hydrology courses such as Hydrology II (BMEEOVVAI41). His research program centers on unraveling complex flow phenomena in natural river systems, particularly focusing on chaotic advection mechanisms, sediment transport processes, and groyne-field hydrodynamics. Through innovative video-based methodologies and particle tracking techniques, he investigates bedload transport in gravel-bed rivers, surface trajectory patterns in large rivers, and mixing processes around river engineering structures. This work provides critical insights for river management, sediment control, and hydraulic structure design. Analysis of his 2012-2019 publications reveals a consistent methodological thread: combining laboratory experiments with field measurements to quantify chaotic flow features. Key contributions include establishing video-analysis protocols for bedload transport, characterizing advection dynamics in groyne fields, and documenting confluence hydrodynamics. His research demonstrates strong interdisciplinary connections between fluid mechanics, environmental engineering, and fluvial geomorphology. No scientific awards were documented in the source materials. While specific grant details and student supervision records were not provided, his research scope implies involvement in experimental projects requiring laboratory facilities and field equipment. His teaching of Hydrology II suggests contributions to graduate-level civil engineering education at BME.
Tamás Soltész is a researcher affiliated with the Department of Transport Technology and Transport Economics at Budapest University of Technology and Economics (BME), holding roles in both the Department of Transport Technology and Transport Economics (2021–present) and the Department of Transport Operations and Transport Economics (2013–2020). His research focuses on optimizing transportation systems, urban planning, and sustainable mobility solutions. Key research interests include public transport scheduling, intercity rail propulsion systems, traffic simulation models, and pedestrian dynamics. He has contributed to projects like the PROSPECT study on road user conflicts and developed methods for analyzing travel time patterns in urban settings. His articles span topics such as express transport scheduling, hydrogen-powered rail systems, and infrastructure booking systems. Notable works address challenges in optimizing passenger flow through simulation techniques and improving traffic management algorithms. No scientific awards or grants are explicitly listed in the provided text. His academic contributions emphasize practical solutions for transportation efficiency and safety, with a focus on匈牙利 (Hungarian) urban and intercity networks.
Tettamanti Tamás is a Full Professor and Deputy Head of the Department of Control for Transportation and Vehicle Systems at the Budapest University of Technology and Economics (Faculty of Transportation Engineering and Vehicle Engineering). He holds a DSc from the Hungarian Academy of Sciences and has extensive experience in academic roles, progressing from PhD student (2007–2010) to Associate Professor (2019–2024) and Full Professor (2025–present). His research focuses on road traffic modeling, control systems, and intelligent transportation solutions, with significant contributions to automated transport and emission analysis. Education highlights include a PhD in 2013 and habilitation in 2023, alongside a jazz trumpet diploma from Kőbánya Music Studio. He has led major projects like the EU-funded MoveCit initiative and collaborated with institutions like the HUN-REN Institute and BME ITS Ltd. His work spans academic leadership, industry partnerships, and international research networks (e.g., COST Actions TU1305 and CA162222). Key research interests include traffic simulation tools (SUMO, VISSIM), autonomous vehicle integration, and urban mobility optimization. He has developed Python tools for traffic emission analysis and co-authored manuals for simulation software. His awards include the BME Jubilee Medal (2023), Michelberger Price (2022), and repeated recognition as a 'Best 100 Professor'. Tettamanti has held editorial roles at IEEE Access and Communications in Transportation Research, and contributed to conferences like the European Control Conference and Transport Research Arena. His interdisciplinary approach bridges engineering, computer science, and environmental sustainability, addressing challenges in smart cities and automated driving systems.
András Dávid is a Lecturer at Óbuda University's Alba Regia Faculty. He can be reached at david.andras@amk.uni-obuda.hu and is located in room 315 of building F at 8000 Székesfehérvár, Budai street 45. Consultations are arranged via email. His research interests focus on digital technology education and embedded systems, with a particular emphasis on integrating programmable logics and e-learning platforms. He has contributed to studies on online examinations, digital circuit analysis, and microcontroller applications in educational settings. His publications from 2016-2022 highlight trends in: Modern teaching methodologies for electronics Hardware-software integration in education Online assessment systems
Dr. Péter Udvardy is an Associate Professor at Óbuda University. He is affiliated with the university's engineering and environmental science programs, located at the Budai Út Campus in Székesfehérvár. His research focuses on advanced technologies such as UAV applications, agricultural sensors, robotics, and environmental monitoring. He actively contributes to interdisciplinary fields like precision agriculture, remote sensing, and GIS-driven urban planning. His work combines theoretical and practical innovations, addressing challenges in renewable energy infrastructure inspection, livestock health monitoring via ingestible sensors, and educational robotics. Notable projects include UAV-based wind turbine assessment and bolus sensor development for dairy cattle. Udvardy emphasizes real-world problem-solving in industrial maintenance, data collection methodologies, and sustainable energy solutions. He maintains a consultation schedule on Mondays and can be reached via udvardy.peter@amk.uni-obuda.hu. His research outputs are publicly accessible via Google Scholar and institutional repositories.
