جست‌وجوی استاد و پژوهشگر

Máté Szabóمشاهده پروفایل

استادیار

• Machine Learning
• Smart Cities
• Mobile Computing
• +۷ مورد دیگر

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 .

• Hydrogeology
• Karst Aquifers
• Groundwater Flow Modeling
• +۳ مورد دیگر

Dr. HAJNAL Géza is an Associate Professor at the Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, where he serves in the Department of Hydraulic and Water Resources Engineering. His office is located in Room K. ép / mf. 12/7, and he can be contacted via email at hajnal.geza@emk.bme.hu or phone at +36 1 463 2362. His teaching portfolio includes active courses such as Hydraulic Engineering, Water Management (BMEEOVVAT43) and Hydrometric Field Course (BMEEOVVAI44). Previously, he taught Hidrogeology (BMEEOGMMET3) and Hydrogeology of Subsurface Water (BMEEOGMDT81). HAJNAL's research specializes in hydrogeology , with emphases on karst aquifer dynamics, groundwater flow modeling, climate impacts on hydrology, and hydraulic engineering. His work integrates field measurements (e.g., drip-water monitoring in Buda Castle Cave) with advanced numerical modeling to address complex hydrological challenges in Hungarian watersheds. Analysis of his 15 most recent publications (2013–2025) reveals dominant themes: 73% focus on karst/fractured aquifers , 20% on hydrological modeling techniques , and 7% on socio-environmental conflicts. Recurrent technical subfields include seepage flow validation, transmissivity determination, and rainfall-runoff sensitivity. No scientific awards, grants, student advisees, or lab affiliations are documented in the provided materials.

• Hydrogeology
• Groundwater hydraulics
• Seepage flow
• +۳ مورد دیگر

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.

Tamás Koltaiمشاهده پروفایل

استاد

• Production Management
• Operations Research
• Data Envelopment Analysis (DEA)
• +۳ مورد دیگر

Dr. Tamás Koltai is a Professor and Dean at the Faculty of Economics and Social Sciences of Budapest University of Technology and Economics (BME). He leads the doctoral school's Specialization Group in Production Management. His roles include overseeing academic programs and research in production management, operations research, and efficiency analysis. Education: Doctor of the Hungarian Academy of Sciences (2016) Dr. habil. (2000), Budapest University of Technology and Economics Candidate of Technical Sciences (1987), Hungarian Academy of Sciences M.Sc. in Mechanical Engineering (1983), BME Faculty of Mechanical Engineering Research Interests: Dr. Koltai focuses on production management optimization, including the application of Data Envelopment Analysis (DEA), sensitivity analysis in mathematical models, and the integration of robotics in assembly lines. His work bridges theoretical models (e.g., MILP/CP optimization) with practical industrial challenges, particularly in healthcare efficiency and educational management. Notable Awards: IEOM Society Teaching Excellence Award (2021) BME GTK Faculty Memorial Medal (2016) János Susánszki Award (2013) Széchenyi Professorship Scholarship (1999–) Teaching & Leadership: He has held visiting roles at the University of Seville (1990–1992) and the University of Michigan (1988/89). His teaching excellence is recognized through awards and his contributions to business simulation education. His research often collaborates with industry partners to address real-world operational challenges. Labs/Teams: Leads the Production Management Specialization Group and contributes to interdisciplinary teams focusing on manufacturing efficiency and healthcare operations within BME.

András Perczelمشاهده پروفایل

استاد

• Organic Chemistry
• Peptide Synthesis
• Protein Structure and Dynamics
• +۵ مورد دیگر

András Perczel is a Professor at the Department of Organic Chemistry, Eötvös Loránd University (ELTE), Faculty of Science, and a Full Member of the Hungarian Academy of Sciences. He holds additional roles as a lecturer in the Institute of Chemistry and has been awarded the honorary title Doctor et Professor Honoris Causa. His research focuses on peptide synthesis, protein structure and dynamics, amyloid formation mechanisms, and drug discovery, with particular emphasis on KRAS inhibitors and biotechnological applications. Key research interests include the development of sustainable peptide synthesis methods using flow chemistry and machine learning, structural studies of amyloid polymorphism, and the design of functional proteomimetics. He has contributed to understanding the molecular basis of protein aggregation in diseases and advancing analytical techniques for peptide characterization. His publications highlight advancements in amyloid core interfaces, GLP-1 receptor agonists, and the application of chiral spectroscopy in protein stability analysis. Scientific awards include membership in the Hungarian Academy of Sciences and an honorary doctoral title. Dr. Perczel collaborates on projects involving KRAS-G12C inhibitors, SARS-CoV-2 nanobody design, and the synthesis of small protein domains via automated flow chemistry. His work bridges organic chemistry, biochemistry, and biotechnology, with a focus on translational research in healthcare and sustainability.

László Lengyelمشاهده پروفایل

استاد

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +۷ مورد دیگر

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.

Gergely Kocsisمشاهده پروفایل

دانشیار

• Information spreading
• Agent-based simulations
• Cellular automata
• +۱ مورد دیگر

Dr. Gergely Kocsis serves as an Associate Professor at the University of Debrecen's Faculty of Informatics, Department of Informatics Systems and Networks. His office is located in the Faculty of Informatics building at 4028 Debrecen, Kassai út 26, ground floor, IF13 (Lecturers' room), with contact email kocsis.gergely@inf.unideb.hu and central telephone +36 52 512 900 75013. Dr. Kocsis's research program focuses on: Information spreading phenomena Agent-based and individual-based simulations Cellular automata applications Network structure and dynamics His scholarly output reveals a sophisticated research trajectory evolving from foundational work on cellular automata modeling of social dynamics (2007-2014) to contemporary investigations of transportation networks, VANETs, and AI applications. The 2023-2025 publications demonstrate particular expertise in network extraction methodologies, containerized computing environments, and the application of generative AI to productivity challenges. His work consistently applies computational modeling approaches to understand complex spreading phenomena across diverse network structures. Dr. Kocsis maintains comprehensive scientific profiles across major academic platforms including Google Scholar, ResearchGate, ORCID, Scopus, and Web of Science, demonstrating active participation in the international research community. His departmental colleagues work in complementary areas such as complex networks, embedded systems, and neural networks, suggesting rich collaborative opportunities within the Faculty of Informatics.

• Sediment Transport
• River Morphology
• Microplastic Pollution
• +۲ مورد دیگر

Dr. BARANYA Sándor is an Associate Professor and Head of the Department of Hydraulic and Water Resources Engineering at the Budapest University of Technology and Economics, Faculty of Civil Engineering. He holds key administrative roles, including Faculty Council Representative, Chairman of the Economic Committee, and Erasmus Committee Member. His office is located in Building K, Room MF 19, and he can be contacted via email or phone. His research spans sediment transport , river morphology , microplastic pollution , and computational fluid dynamics (CFD) . He employs innovative methods such as acoustic mapping, machine learning, remote sensing (Sentinel-2, Landsat), and numerical modeling to study large river systems, particularly the Danube. His work addresses ecological impacts, including thermal pollution from power plants and microplastic distribution. Recent publications (2023–2025) focus on: Sediment-microplastic dynamics using integrated field-data and AI Historical river regulation impacts CFD-based restoration strategies Advanced monitoring techniques (e.g., acoustic velocimetry, deep learning for riverbed analysis) He teaches courses including Hydraulics , Hydromorphology , and Water Utilisation & Damage Prevention , and mentors students in TDK (Research Society) projects on sediment transport, river habitats, and microplastics. He participates in EU initiatives like DanubeSediment for transnational sediment management.

Balázs Vargaمشاهده پروفایل

پژوهشگر ارشد

• Road Traffic Modeling and Control
• AI-based Traffic Flow Prediction
• Urban Traffic Simulation
• +۳ مورد دیگر

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.

Szilard Szlavikمشاهده پروفایل

مدرس

• Machine Translation
• Post-editing
• Translation Quality Assurance
• +۴ مورد دیگر

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 Nagyمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

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
• +۳ مورد دیگر

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.

• Engineering Geology
• Geotechnics
• Monumental and Dimension Stones
• +۷ مورد دیگر

Dr. TÖRÖK Ákos is a Professor and Head of the Department of Engineering Geology and Geotechnics at the Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). He serves in key academic leadership roles, including Head of the Habilitation and Doctoral Council and Head of the Scientific Committee of the Faculty Council. He is also a representative of organization units within the Faculty Council. Research Interests: His research spans multiple areas in engineering geology and environmental geosciences, with a strong focus on the durability and degradation of natural stone materials used in construction and cultural heritage. His expertise includes: Weathering processes of monumental and dimension stones Impact of air pollution on stone decay Carbonate sedimentology Environmental geology and geotechnics Applications in radioactive waste disposal Geodynamics and rock mechanics These interests reflect both fundamental geological research and practical applications in civil engineering and environmental protection. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: While specific students and grant projects are not listed, Dr. Török actively supervises MSc thesis work through the Diploma Project course in the Structural Engineering MSc program. His leadership in doctoral councils indicates a central role in PhD education and academic evaluation at the faculty level. Labs and Research Teams: He is affiliated with the Department of Engineering Geology and Geotechnics, which is part of the broader research and educational structure of the Faculty of Civil Engineering at BME. The department likely conducts laboratory and field-based research in geotechnics, engineering geology, and environmental geosciences, though specific lab names or team structures are not detailed in the text.

• Biomechanics
• Structural Engineering
• Finite Element Analysis
• +۲ مورد دیگر

Dr. Nagy Róbert is an Assistant Professor at the Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics. His academic career spans both engineering and biomedical research domains. Education: Structural Engineer MSc Visiting Scientist: Imperial College London Languages: English (fluent), Italian (conversational), Portuguese (basic), Chinese (beginner) Research focuses on two primary areas: (1) Biomechanics – analyzing hemodynamic stresses in abdominal aortic aneurysms and developing inverse kinematic methods for rupture risk estimation using SPH numerical models and finite element simulations; (2) Structural Engineering – investigating explosion-resistant building design, blast parameter attenuation in urban geometry, and linear buckling analysis of thin-walled members. Additional work includes agricultural processing effects on cereal properties and digital pedagogy implementation in schools. His computational mechanics expertise bridges civil engineering applications (explosive load modeling) and biomedical innovations (aneurysm simulations). Key methodologies include smoothed particle hydrodynamics, nonlinear finite element analysis, and stress distribution modeling. Teaching contributions include tutorials in Statics, Advanced Mechanics, Strength of Materials, and Dynamics at both BSc and MSc levels in Hungarian and English. He also developed curriculum components for Nonlinear FEM and basic mechanics courses.

Vajk Istvánمشاهده پروفایل

استاد

• Control Theory
• Autonomous Vehicles
• Robotics
• +۳ مورد دیگر

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