جست‌وجوی استاد و پژوهشگر

• Geotechnical Engineering
• Rock Mechanics
• Tunneling
• +۳ مورد دیگر

Dr. Vásárhelyi Balázs is an Associate Professor at the Department of Engineering Geology and Geotechnics, Budapest University of Technology and Economics (Faculty of Civil Engineering). He has been teaching courses such as Engineering geological and geotechnical project , Geology , Tunneling , and Rock Mechanics since the early 2010s, with a focus on rock mass characterization and geotechnical stability. Position: Associate Professor Department: Engineering Geology and Geotechnics Email: vasarhelyi.balazs@emk.bme.hu Office Hours: Mondays 11-12 His research connects geological strength parameters with engineering applications through projects like the Mátra Gravitational and Geophysical Laboratory measurements. He has explored the relationships between Geological Strength Index (GSI) , Hoek-Brown criterion , and Q-system for rock mass classification, with particular emphasis on granitic and sedimentary rocks. Recent publications analyze: Stress thresholds for crack initiation in granitic rocks using machine learning Thermal effects on limestone and sandstone mechanical properties Modified RQD applications for rock mass characterization Brittle-to-ductile transition stress in rock masses Impact resistance correlations with compressive strength Scientific recognition includes the Építő250 Scholarship . His work spans empirical, analytical, and numerical approaches to geotechnical challenges in tunneling and slope stability.

Gábor Kövesdánمشاهده پروفایل

مدرس

• Software modernization
• Model-driven engineering
• Domain-specific languages
• +۲ مورد دیگر

Gábor Kövesdán is an Assistant Lecturer at the Budapest University of Technology and Economics (BME) , working within the Department of Automation and Applied Informatics and the Applied Computer Science Group . His primary focus lies in software engineering, particularly in areas such as software modernization, model-driven engineering, and domain-specific languages. His research interests encompass: Software Modernization - Leveraging machine learning techniques to modernize legacy systems Model-Driven Engineering - Developing frameworks and tools for model-based software development Domain-Specific Languages (DSL) - Creating specialized languages and code generation frameworks for various application domains Multi-Platform Development - Enabling code generation across different platforms and architectures His work demonstrates a strong emphasis on bridging theoretical concepts with practical applications, particularly in developing tools and methodologies that enhance software development efficiency and maintainability. His recent publications (2014-2021) show a consistent trajectory in advancing software engineering practices, with particular strength in model-driven approaches, code generation techniques, and the application of design patterns in software development. The research spans from foundational work on DSL classification to practical implementations like Android development frameworks.

• Environmental Engineering
• Hydraulic Modeling
• Water Distribution Systems
• +۲ مورد دیگر

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

• Environmental Engineering
• Urban Drainage Systems
• Water Management
• +۳ مورد دیگر

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.

• Granular Materials
• Social Network Modeling
• Morphodynamics of Pebbles
• +۳ مورد دیگر

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.

Tibor Csizmadiaمشاهده پروفایل

استاد

• Quality Management
• Strategic Management
• Research Methodology
• +۶ مورد دیگر

Tibor Csizmadia is a Full Professor at the University of Pannonia , specializing in Quality Assurance, Strategic Management, and Research Methodology. He currently serves as Vice-dean for Quality Assurance and Accreditation Affairs at the university. His work bridges academic leadership with practical applications in organizational development. PhD in Quality Management (University of Twente, 2006) MSc in Technical Management (University of Pannonia, 1999) Dr. Csizmadia's research focuses on quality management systems in higher education, strategic decision-making , and methodological approaches to organizational research. He explores the intersection of digital transformation and human resource management, particularly in SME contexts. Recent publications analyze Industry 4.0 implementation in SMEs, EU R&D funding mechanisms , and organizational happiness metrics in academic institutions. His work combines quantitative and qualitative methodologies to address real-world business challenges. As an IT Mentor and Cluster Manager, he has led initiatives such as the Innovation and Knowledge Transfer Office at the University of Kaposvár (2009-2012) and IPA cross-border cooperation projects. He currently offers consultation hours on Mondays (13:00-14:00) by prior arrangement.

Anita Erőssمشاهده پروفایل

پژوهشگر ارشد

• Hydrogeology
• Karst Systems
• Groundwater Flow Modeling
• +۶ مورد دیگر

Anita Erőss is a Research Fellow and lecturer at the Eötvös Loránd University , affiliated with the Faculty of Science through the Department of Physical and Applied Geology , Institute of Geography and Earth Sciences , and Center of Earth Sciences . Her work spans hydrogeology, karst systems, and environmental tracer applications. Research interests focus on Groundwater flow dynamics in thermal karst systems Radionuclide and isotope behavior in aquifers Climate change impacts on water budgets Hydrochemical interactions in confined-unconfined basins Recent publications (2022-2025) demonstrate expertise in Using natural tracers (isotopes, radionuclides) to study karst evolution Groundwater-surface water interactions in soda lakes Uranium mobility in siliciclastic aquifers Machine learning applications in hydrogeological modeling Sustainable management of thermal and drinking water resources Labs and teams: Active member of ELTE's hydrogeology research group Collaborative work across Hungarian and international karst regions Fieldwork in thermal karst areas like Buda and Villány

• Logistics
• Supply Chain Management
• Transportation Engineering
• +۵ مورد دیگر

Balázs Lénárt is a researcher at the Department of Material Handling and Logistics Systems within the Faculty of Transportation Engineering at Budapest University of Technology and Economics (BME). He has maintained continuous academic activity since at least 2000, initially working at the Department of Transportation Operations (2000-2012) before transitioning to his current department in 2012. His research profile demonstrates significant contributions to logistics and transportation engineering with 21 publications and 63 total citations. Lénárt's research spans multiple dimensions of modern logistics systems, with particular emphasis on computational intelligence applications. His work explores the intersection of traditional logistics with emerging technologies, including ant colony algorithms for route optimization, cloud computing implementations for supply chain management, and even innovative concepts in space logistics for interplanetary supply chains. His publications reveal a consistent focus on improving efficiency in transportation networks through advanced algorithmic approaches and AI-driven solutions. Analysis of his publication trends shows an evolving research trajectory from foundational transportation operations (2008-2012) toward more sophisticated computational methods and emerging technology applications (2012-2019). His most impactful work appears in multimodal transportation planning and cloud-based logistics systems, with several publications receiving notable independent citations. The interdisciplinary nature of his research connects computer science, operations research, and traditional transportation engineering. Lénárt has collaborated extensively within the BME research ecosystem, particularly with colleagues Géza Katona, János Juhász, and Krisztián Bóna. His work has appeared in reputable journals including Periodica Polytechnica Civil Engineering and Transportation Research Proceedings, with several publications classified in Scopus Q2-Q3 journals. His research demonstrates practical applications for both terrestrial and conceptual space-based logistics systems.

Tettamanti Tamásمشاهده پروفایل

استاد

• Road Traffic Modeling and Control
• Traffic Simulation
• Intelligent Transportation Systems (ITS)
• +۳ مورد دیگر

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.

• Remote Sensing
• Agricultural Technology
• Robotics
• +۳ مورد دیگر

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.

• Heritage Protection
• History of Architecture
• Workshop Methodology in Architectural Education
• +۲ مورد دیگر

Dr. Tamás Molnár is an Associate Professor at the University of Pécs Faculty of Engineering and Information Technology , Department of Visual Studies. He holds a Doctor of Liberal Arts and Habilitation in Architecture from the University of Pécs, with a focus on Heritage Protection , 20th Century Architectural History , and Workshop Methodology in Architectural Education . Fluent in English and German Active in international Erasmus+ programs Editorial board member of academic journals Research Interests center on cultural identity in architecture, post-conflict reconstruction, and innovative educational practices. His work bridges heritage preservation with modern design , emphasizing interdisciplinary collaboration through workshops and conferences. Publications focus on Algerian colonial architecture , Bosnian post-war reconstruction , and energy-conscious design . His NEST project exemplifies inclusive sacred space design, while his Temporary City workshops explore cross-European urban innovation. Awards include multiple Best Lecturer of the Year titles and the b2 MIK-MK Golden Medallion . He has organized international conferences like Places and Technologies and served as jury chairman for student competitions. Teaching spans 15+ countries, with guest lectures at FH Joanneum (Austria), University of Zagreb (Croatia), and others. He supervises student research on topics like Turkish Bath Culture and Early Christian Burial Sites .

János Tóthمشاهده پروفایل

استادیار مدعو

• Ensemble Systems Optimization
• Big Data Analytics
• Machine Learning
• +۳ مورد دیگر

Dr. János Tóth is an Adjunct Assistant Professor at the Department of Data Science and Visualization within the Faculty of Informatics at the University of Debrecen. His research focuses on optimization of ensemble systems and big data analytics. Institution: University of Debrecen School: Faculty of Informatics Department: Data Science and Visualization Rank: Adjunct Assistant Professor Email: toth.janos@inf.unideb.hu Research Interests: Dr. Tóth specializes in optimizing ensemble systems for medical image analysis and big data processing. His work spans: Parameter optimization techniques for ensemble models Integration of classical image processing with deep learning Medical data visualization solutions Applications in diabetic retinopathy detection Handling unstructured Hungarian medical reports Cloud-based machine learning pipelines Publication Trends: Over the past decade, Dr. Tóth's research has shown consistent focus on medical image analysis (particularly fundus and Pap smear imaging) combined with ensemble learning approaches. His work includes algorithm optimization (2014-2022), data visualization techniques (2012-2024), and natural language processing for Hungarian medical reports (2024). Recent publications (2024) demonstrate continued innovation in machine learning applications for both healthcare and business domains.

Dominic C. Y. Fooمشاهده پروفایل

استاد

• Process Integration
• Resource Conservation
• Carbon Emission Reduction
• +۵ مورد دیگر

Professor Dominic C.Y. Foo is a distinguished academic at the University of Nottingham Malaysia, serving as Professor of Process Design and Integration and Founding Director of the Centre of Excellence for Green Technologies . He holds multiple prestigious fellowships including Fellow of the Institution of Chemical Engineers (IChemE) and Fellow of the Academy of Sciences Malaysia (ASM) , and is recognized in the Stanford list of top 2% scientists for several consecutive years. Department of Chemical and Environmental Engineering Active in international collaborations across Asia, Europe, Americas, and Africa Editor-in-Chief of Process Integration and Optimization for Sustainability (Springer Nature) Research Focus : His work centers on process integration and optimization for sustainability, particularly through pinch analysis and mathematical programming to address resource conservation , CO2 reduction , and decarbonization . Key areas include water minimization , energy planning , and carbon management networks , with applications spanning from the oil palm industry to hydrogen production systems. Scientific Contributions : With over 190 journal papers , 8 books , and 30+ keynote speeches , Professor Foo's research has had significant global impact. He has examined 40+ PhD/MSc theses internationally and developed specialized software like RCNet and DECO2 for resource conservation and carbon management. 2009 IChemE Innovator of the Year 2013 Outstanding Asian Researcher (SCEJ, Japan) 2016 Top Research Scientist Malaysia (ASM) International Engagement : He serves as Visiting Professor at several institutions including University of the Philippines Los Baños and De La Salle University in the Philippines. His editorial roles span multiple leading journals in chemical and environmental engineering.

Gábor Kissمشاهده پروفایل

دانشیار

• Applied Physics
• Surface Physics
• Gas Sensors
• +۳ مورد دیگر

Gábor Kiss is an Associate Professor in the Department of Atomic Physics at Budapest University of Technology and Economics (BME). His research focuses on applied physics, surface physics, gas sensors, electrolytic capacitors, and hydrogen storage in metals. He has contributed to studies on metal hydride alloys, titanium-based medical implants, and gas detection technologies. His work involves advanced analytical methods like XPS, SIMS, and AES. Notable collaborations include investigations into hydrogen absorption/desorption processes and the effects of surface contaminations on hydrogen storage materials. Recent work extends to speech-based medical diagnostics, leveraging machine learning for depression and Parkinson’s disease detection. Education details are not explicitly listed, but his research expertise spans materials science and interdisciplinary applications. His publications emphasize surface analysis techniques and their biomedical and energy storage applications. He has co-authored influential papers in journals like Analytical and Bioanalytical Chemistry and Sensors and Actuators B. Research trends in his recent articles focus on computational linguistics (e.g., Hungarian speech data analysis), clinical diagnostics via speech processing, and optimization in wireless sensor networks. These reflect a shift towards AI-driven healthcare solutions while maintaining core strengths in materials physics. No awards or grants are explicitly mentioned, but his extensive publication record and cross-disciplinary collaborations indicate significant contributions to both fundamental and applied research.

• Energy Efficiency
• Decarbonization
• Life Cycle Assessment (LCA)
• +۴ مورد دیگر

Dr. Szalay Zsuzsa is an Associate Professor at the Budapest University of Technology and Economics (BME), serving as Co-Head of the Department of Construction Materials and Technologies within the Faculty of Civil Engineering. She is an elected member of the Faculty Council and coordinates students' scientific associations. Research Focus: Life cycle assessment (LCA), energy efficiency, decarbonization, sustainable building technologies, and thermal comfort optimization. Teaching: Courses include Design of Structures Projectwork, Building Construction Methodology, and Building Energy Modelling. Scientific Contributions: Her recent work explores digital decarbonization through virtual space transitions, embodied carbon in residential HVAC systems, and zero-carbon building strategies. She actively participates in IEA EBC Annex 72, developing LCA guidelines for global and regional contexts. Scientific Awards: Recipient of the építő250 scholarship Labs & Teams: Affiliated with the Department of Construction Materials and Technologies and engaged with the Students' Scientific Associations at BME.