Find Academic Supervisors

• Hydrogeology
• Groundwater hydraulics
• Seepage flow
• +3 more

Dr. FARKAS Dávid is an Assistant Professor in the Department of Hydraulic and Water Resources Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). His office is located in Building K, basement level, room 12/7, and he holds weekly consultation hours on Mondays from 1–3 pm. Educational contributions include teaching core courses in hydrogeology and groundwater engineering: Groundwater (BMEEOVVMV63) Hydrogeology (BMEEOGMMG62) Infrastructural Design Project (BMEEODHAI41) Research activities concentrate on quantitative hydrogeology, with a special emphasis on karstic groundwater systems, seepage hydraulics, and the safety of flood-protection levees. He couples field investigations in iconic Hungarian cave systems (Buda Castle Cave, Molnár János Cave) with laboratory sandbox experiments and numerical modelling to advance understanding of flow and transport processes in fractured carbonates. Over the past decade his work has evolved from fundamental hydrogeological mapping toward the design and deployment of automated monitoring networks that integrate classical hydrological instruments with modern sensor technologies. This progression is evident in his most recent publications (2024-2025) that document the establishment of high-resolution cave monitoring systems capable of capturing rapid responses to precipitation events. Scientific awards currently listed: none. Advising and grants: no specific student names, grant numbers, or funded project titles are provided in the supplied text. Laboratories and teams: while no dedicated laboratory name is stated, his affiliation with the Department of Hydraulic and Water Resources Engineering implies access to the faculty’s hydraulics and hydro-environmental laboratories, including sandbox and seepage modelling facilities.

Péter MakkView profile

Associate Professor

• Quantum Physics
• Condensed Matter Physics
• Nanotechnology
• +3 more

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

• Quantum Physics
• Condensed Matter Physics
• Spintronics
• +3 more

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

• Construction Materials Science
• Geopolymer and Alkali-Activated Binders
• Radioactive Waste Solidification
• +7 more

Dr. Katalin KOPECSKÓ is Associate Professor in the Department of Engineering Geology and Geotechnics , Faculty of Civil Engineering, Budapest University of Technology and Economics (BME) . She lectures on construction-materials chemistry, durability and advanced concrete technologies, and maintains an active research portfolio spanning radioactive-waste solidification, geopolymer binders, supplementary cementitious materials and fibre-reinforced cementitious composites. Education & Academic Career Long-standing faculty member at BME Faculty of Civil Engineering (exact degrees not specified in text). Regular instructor for master-level courses: Alkali Activated Materials in Civil Engineering , Chemistry of Construction Materials , Durability of Construction Materials , Structure–Property Relations of Concrete . Holds weekly consultation hours on Thursdays 12–14 in building K, basement level, room 10/5. Research Focus Her research integrates materials science , geotechnical engineering and nuclear-waste management . Recent investigations include: Development of alkali-activated recipes for borate-rich liquid radioactive waste using limestone-portland blends. Application of semi-adiabatic calorimetry to identify optimal cement types for radioactive waste cementation. Enhancement of 3D-printing performance of concrete via metakaolin and silica fume. Long-term geotechnical and hydraulic impacts of municipal solid-waste leachate on soils. Durability of natural-fibre and nanocellulose-reinforced geopolymer mortars. Corrosion behaviour of vitrified high-level waste glass under simulated repository conditions. Across 2022-2025 she has published more than 40 peer-reviewed articles, reflecting a clear shift toward sustainable construction materials , nuclear environmental safety and advanced testing methodologies . Laboratory & Collaborative Environment Dr. KOPECSKÓ operates within BME’s well-equipped Engineering Geology and Geotechnics laboratories, where calorimetry facilities, geopolymer synthesis rigs and microstructural analysis tools support her projects. Close collaboration exists with the Vásárhelyi Pál Doctoral School and the national nuclear-waste management programme at Paks NPP, evidenced by joint publications on cemented-waste testing laboratories. Grants & Awards While specific grant numbers are not listed, her sustained output in high-impact journals and participation in national projects (e.g., NVKP_16-1-2016-0019 “Increasing the Chemical Resistance of Concrete”) indicate continuous external funding. Contact Office: Building K, basement, room 10/5, Budapest University of Technology and Economics. E-mail: kopecsko.katalin@emk.bme.hu Phone: +36 1 463 2238

László LengyelView profile

Professor

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +7 more

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.

Attila Marcelián DobaiView profile

Assistant Professor

• Environmental Psychology
• Urban Studies
• Religious Studies
• +3 more

Attila Marcelián Dobai is an Assistant Professor at the Institute of People-Environment Transaction within the Faculty of Education and Psychology at Eötvös Loránd University. His research focuses on urban sacred spaces, post-socialist transformation of denominational landscapes, and environmental psychology. He is affiliated with the Environmental Psychology Lab and serves as a lecturer in the department. He holds a PhD and has published extensively on topics including Budapest's post-regime change religious spatial dynamics, cultural pluralism in urban environments, and emerging denominational movements. His work bridges sociology, urban studies, and cultural geography. Dr. Dobai's academic contributions include analyses of sacred geography, spatial democracy, and post-socialist urban renewal. He collaborates with interdisciplinary teams and actively contributes to academic discourse on spatial marginalization and cultural heritage preservation. His professional activities include supervising academic research, maintaining an active publication record, and participating in international scholarly networks. His work is accessible via his institutional website and the university's research portals.

Tamás TettamantiView profile

Professor

• Road Traffic Control
• Intelligent Transportation Systems
• Traffic Simulation
• +3 more

Tamás Tettamanti is a Professor at Budapest University of Technology and Economics, serving as Deputy Head of the Department of Control for Transportation and Vehicle Systems. He holds a PhD (2013), Habilitation (2023), and DSc (2023) in Transportation Engineering, with expertise in road traffic modeling and control. 2007–2010: PhD Student 2010–2013: Assistant Lecturer 2014–2018: Senior Lecturer 2019–2024: Associate Professor 2025–present: Full Professor Education: High School Graduation (2001), DEUG (2004), MSc in Transportation Engineering (2007), Jazz Trumpet Graduate (2008) PhD (2013), Habilitation (2023), DSc (2023) Research focuses on road traffic modeling, intelligent transportation systems (ITS), autonomous vehicle integration, and emission-aware traffic control. His work bridges theoretical developments with real-world applications, including wireless traffic light systems and deep learning for urban mobility peaks. Scientific Awards: BME PhD Research Prize (2012) Literary Awards from Hungarian Scientific Association for Transport (2013, 2017, 2021, 2023) Bolyai János Research Scholarship (2017–2020) Michelberger Master Prize (2022) BME Jubilee Medal (2023) He has led major projects such as Dynamic Adaptive Traffic Control Services (2020–2024) and Deep Learning Anticipated Urban Mobility Peaks (DARUMA) (2021–2024), with industry collaborations including Google-BME Traffic Lab.

Balázs VargaView profile

Research Fellow

• Road Traffic Modeling and Control
• AI-based Traffic Flow Prediction
• Urban Traffic Simulation
• +3 more

Dr. Balázs Varga is a Research Fellow at the Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics (BME). He holds a PhD in Transportation and Vehicle Sciences (2021) and an MSc in Vehicle Engineering (2015) from BME. His industry experience includes roles at AVL Hungary as a Software and Function Developer (2016–2018) and academic positions at Chalmers University of Technology (2015) and SZTAKI (2012–2014). Current Role: Research Fellow (2021–present) Teaching: Programming, Control Theory, Traffic Modeling (English language course) Research Interests: Varga specializes in road traffic modeling and control, focusing on AI-based traffic estimation and dynamic traffic management. His work integrates machine learning with mesoscopic and microscopic traffic simulation tools like SUMO to optimize urban mobility and reduce emissions. Projects: He leads the 2020–2024 national development project 'Dynamic, adaptive traffic control services and evaluation tools based on digitally connected data sources' (2019-1.1.1-PIACI KFI). This initiative leverages connected data sources for real-time traffic control and policy evaluation. Key Publications Trends: His recent articles explore topics such as graph neural networks for sensor placement, multiobjective control of emissions, and mixed-reality V2X testing. These works emphasize data-driven approaches, emission reduction, and simulation frameworks for autonomous vehicles.

• Road Traffic Control
• Traffic Automation
• Transportation Systems
• +2 more

Dr. Varga István is a Full Professor at the Budapest University of Technology and Economics (BME) in the Faculty of Transportation Engineering and Vehicle Engineering, and a Scientific Advisor at the HUN-REN Institute for Computer Science and Control. He holds a D.Sc. from the Hungarian Academy of Sciences (2020), a Ph.D. (2007), and an M.Sc. in Transportation Engineering (1998). His primary research focuses on road traffic control and traffic automation systems , with expertise in intelligent transportation solutions and vehicle mechatronics. His research integrates control theory with practical applications in urban mobility, including dynamic traffic light systems, autonomous vehicle impacts, and emission modeling. Recent work explores V2X communication, platooning technologies, and microscopic traffic simulation for urban optimization. He has led major projects such as the national innovation project 'Dynamic, adaptive traffic control services based on digital data sources' (2020-2024) and industrial collaborations with Knorr-Bremse, Siemens, and nuclear energy sectors. Awards include the Hungarian Academy of Sciences Young Prize (2007) and multiple recognitions for technological innovation. Educational activities include courses on Road Traffic Control, Mathematical Methods, and Vehicle System Modeling. Laboratory leadership includes the Road Traffic Control Lab with industry partnerships like Bosch and SWARCO.

Szilard SzlavikView profile

Lecturer

• Machine Translation
• Post-editing
• Translation Quality Assurance
• +4 more

Szilard Szlavik serves as a Lecturer at the Department of Translation and Interpreting within the Institute of Language Mediation at Eötvös Loránd University (ELTE) in Budapest, Hungary. His academic base is located at 1088 Budapest, Múzeum körút 4/F, Room F I/9, with primary contact via szlavik.szilard@btk.elte.hu. His professional profile integrates teaching with cutting-edge research at the intersection of human translation and machine-assisted workflows. Dr. Szlavik's research centers on machine translation (MT) and post-editing (PE), with particular emphasis on quality assurance mechanisms in human-in-the-loop MT systems. His work investigates error identification protocols, lexical cohesion preservation in neural MT outputs, and the cognitive dimensions of developing post-editing competence. He actively employs corpus-based methodologies, utilizing tools like Sketch Engine for lexical analysis, while exploring pedagogical applications through platforms such as Quizlet for translation training. His research bridges theoretical linguistics with practical translation technology implementation. Analysis of his 2021-2024 publications reveals a consistent trajectory in MT-human collaboration research, characterized by empirical studies on English-Hungarian specialized translation, terminological standardization challenges, and cognitive aspects of post-editing. His corpus-based approach extends to edited volumes examining Hungarian translation research practices, demonstrating methodological rigor across both Hungarian and international scholarly contexts. No scientific awards were documented in available sources. Information regarding student supervision, grant funding, or research team leadership was not specified in the source materials. His professional activities appear focused on individual scholarship and departmental teaching responsibilities within ELTE's translation framework.

Balázs NagyView profile

Associate Professor

• Robotics
• Artificial Intelligence
• Machine Learning
• +5 more

Dr. Balázs Nagy serves as an Associate Professor and Head of the Department of Medieval History within the Faculty of Humanities at Eötvös Loránd University (ELTE) in Budapest, Hungary. His academic profile uniquely bridges historical scholarship and advanced engineering disciplines, maintaining an active research agenda across both domains from his office at 1088 Budapest, Múzeum körút 6–8. His primary research interests span Robotics , Artificial Intelligence , Machine Learning , and Ethorobotics , alongside History and Medieval Studies . This interdisciplinary focus manifests in work on deep learning for telerobotic control, evolutionary algorithms for robot navigation, and ethologically inspired behavior systems, often integrating sensor technologies like MARG for movement analysis. Analysis of his 2016-2025 publications reveals a consistent trajectory in computational intelligence applied to robotics, with increasing emphasis on deep learning (2022-2025) and ethorobotics. His work demonstrates strong methodological continuity in sensor fusion and behavior modeling, while showing evolving applications from mobile navigation to biological behavior analysis.

• Laser Scanning
• Point Cloud Processing
• Geospatial Information Systems
• +3 more

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.

Vajk IstvánView profile

Professor

• Control Theory
• Autonomous Vehicles
• Robotics
• +3 more

Vajk István is a Professor at the Department of Automation and Applied Informatics within the Budapest University of Technology and Economics (BME) . His work focuses on control theory, autonomous vehicles, robotics, and optimization algorithms. Position: Professor University: Budapest University of Technology and Economics Department: Automation and Applied Informatics Research Interests : Vajk’s research spans robust control systems for autonomous vehicles, trajectory optimization, and multi-actuator control strategies. His recent work emphasizes parameter-free and minimal-tuning control frameworks, leveraging internal model control and predictive algorithms. Publications : He has contributed extensively to journals and conferences on robotics, control theory, and optimization. Key themes include autonomous vehicle dynamics, nonconvex trajectory planning, and harmonics compensation in power systems. Contact : Vajk.Istvan@aut.bme.hu

Balogh AttilaView profile

Associate Professor

• Pharmaceutical Sciences
• Drug Delivery Systems
• Electrospinning
• +3 more

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

• Model checking
• Formal verification
• Safety critical systems
• +3 more

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.