جستجوی استاد راهنمای دانشگاهی

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.

• Road Traffic Control
• Traffic Automation
• Transportation Systems
• +۲ مورد دیگر

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.

Róbert Lakatosمشاهده پروفایل

استادیار

• Data Processing
• Data Visualization
• Machine Learning
• +۵ مورد دیگر

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.

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.

Guenther Knoblichمشاهده پروفایل

استاد

• Cognitive Science
• Social Cognition
• Joint Action
• +۳ مورد دیگر

Guenther Knoblich is a Professor of Cognitive Science at Central European University (CEU), holding this position since 2011. His research focuses on joint action, social cognition, communication, and problem-solving. He coordinates interdisciplinary projects like the ERC Synergy project on Coordination, Communication, and Cultural Transmission (2015–2022), EuroCores EuroUnderstanding (2011–2014), and the ZiF research year on Embodied Communication (2005–2006). Knoblich has held academic roles at institutions including the Max Planck Institute for Psychological Research, Rutgers University, and the Donders Institute. He earned his PhD from Hamburg University in 1997. Education PhD in Psychology, Hamburg University, 1997 Research Interests Joint action dynamics and coordination mechanisms Sense of agency and self-other distinction Cognitive foundations of social interaction Embodied communication in human and machine systems Articles Trends Recent work emphasizes experimental studies on human and primate cooperation, infant social expectations, and the neurological underpinnings of joint action. Key themes include decision-making in collaborative settings, temporal coordination, and the role of predictability in successful interaction. Grants/Projects ERC Synergy (2015–2022) ZiF Research Year (2005–2006) EuroCores (2011–2014) Labs/Teams Leads the Somby Lab and contributes to the Social Mind Center at CEU, focusing on interdisciplinary research in cognitive and social neuroscience.

László Mérőمشاهده پروفایل

استاد

• Psychology
• Game Theory
• Cognitive Science
• +۴ مورد دیگر

László Mérő is a Professor and lecturer in the Department of Affective Psychology at Eötvös Loránd University's Institute of Psychology. His work focuses on the interplay between psychology, game theory, and complex systems, particularly exploring how humans perceive and rationalize rare events, emotions in decision-making, and the boundaries of rational thought. He has also contributed to artificial intelligence research and the philosophical underpinnings of scientific inquiry. His publications often bridge theoretical and applied domains, addressing topics like monetary behavior, social coordination, and cognitive biases. Mérő’s research interests prominently feature the study of 'miracles' as probabilistic anomalies, the evolution of economic systems, and the limits of rationality in both human cognition and AI. He has written extensively on these themes, including books translated into English such as The Logic of Miracles and Moral Calculations . His work integrates empirical psychology with mathematical models to explain phenomena ranging from emotional impulses to collective social behaviors. No scientific awards are explicitly mentioned in the provided texts. While no advising or grant details are available, his publications suggest a focus on interdisciplinary research at the intersection of psychology, philosophy, and computational sciences. His institutional affiliation includes the Institute of Psychology, where he maintains an office at Izabella u. 46, Budapest, and can be reached via email and listed phone number.

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.

Szabolcs Iváncsyمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Sound Source Separation
• Signal Processing
• +۳ مورد دیگر

Szabolcs Iváncsy is an Honorary Associate Professor at the Department of Automation and Applied Informatics, Budapest University of Technology and Economics. His research focuses on audio signal processing and computational musicology, particularly in the domain of sound source separation for polyphonic music. Department: Automation and Applied Informatics University: Budapest University of Technology and Economics His work employs techniques such as instrument prints, energy splitting, and frequency estimation to isolate individual sound sources from complex musical recordings. These methods intersect with machine learning and signal processing to address challenges in polyphonic music analysis. Available publications highlight advancements in sound source separation, instrument modeling, and computational approaches to audio engineering. While no formal awards or students are listed, his contributions are documented in the BME Publication Registry and platforms like Google Scholar. Email: Ivancsy.Szabolcs@aut.bme.hu Office: Q.B215, Budapest 1117 Phone: +36 (1) 463-2885 Fax: +36 (1) 463-2871 Homepage: https://avalon.aut.bme.hu/~ivancsy

Varga Balázsمشاهده پروفایل

پژوهشگر ارشد

• Road Traffic Modeling and Control
• Machine Learning-Based Traffic Estimation
• Transportation Systems
• +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. He holds an MSc in Vehicle Engineering (2015) and a PhD in Transportation and Vehicle Sciences (2021). His career includes roles at SZTAKI (part-time student, 2012-2014), Chalmers University of Technology (Project Assistant, 2015), AVL Hungary (Software and Function Developer, 2016-2018), and BME (PhD student, 2017-2021; Project Assistant, 2018-2021). Languages: English, German Teaching: Programming (BSc), Control Theory (BSc), Traffic Modelling, Simulation and Control (MSc/PhD) His research focuses on road traffic modeling and control, leveraging AI methods for traffic flow prediction and adaptive urban traffic management. He contributes to the 2020-2024 national project developing dynamic traffic control systems integrated with digital data sources.

Gergely Vakulyaمشاهده پروفایل

دانشیار

• Cybersecurity
• Agricultural Technology
• Sensor Networks
• +۳ مورد دیگر

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.

Judit Takácsمشاهده پروفایل

دانشگاهی

• Cybersecurity
• Artificial Intelligence in Education
• Engineering Education
• +۳ مورد دیگر

Judit Takács is an Assistant Lecturer and STEM Regional Coordinator at Óbuda University, serving as Deputy Head of the Science and Software Engineering Institute. Her primary affiliation is with the university's Székesfehérvár campus at Budai út 45. She can be reached via email at modne.t.judit@amk.uni-obuda.hu and is available for consultations by prior arrangement. Her research focuses on cybersecurity in education, AI integration in teaching, stress management strategies for students, and curriculum development in engineering and STEM fields. She has published extensively on topics including cybersecurity awareness, soft skills, and the role of artificial intelligence in online assessments. Recent publications highlight her work on generational cybersecurity competencies, teacher perceptions of AI, and cross-cultural studies of student behavior under stress. Her research often employs qualitative methods and addresses challenges posed by digital transformation in education. Awards: No scientific awards explicitly mentioned in available records. Advising and Grants: No advisees or grant details listed. Her professional contributions are primarily through institutional leadership and research output. Labs/Teams: Active within the Science and Software Engineering Institute at Óbuda University, contributing to interdisciplinary initiatives in technical education and digital competencies.

Ulrich Meurerمشاهده پروفایل

استاد مهمان

• Media Philosophy
• Visual Theory
• Film/ Media Archaeology
• +۳ مورد دیگر

Ulrich Meurer is a Visiting Professor at the Central European University (CEU) in Vienna, affiliated with the Visual Studies Platform and teaching in the BA program 'Culture, Politics, and Society'. He holds a PhD in American and Media/Film Studies from the University of Konstanz. His academic journey includes roles as Assistant Professor at the University of Leipzig, Associate Professor at the University of Vienna, and research fellowships at institutions like Princeton University and the Hellenic Institute for Byzantine Studies in Venice. Meurer's research focuses on media philosophy, visual theory, and film archaeology. Current projects explore 'philocracy' (politics of friendship in US media) and Byzantine visuality's impact on contemporary screen media. He has authored books such as Topographies (2007) and edited volumes like Translation and Film (2012). His work bridges media history, classics, and political theory. Notable awards include the Karsten Witte Prize (2018) and the City of Konstanz Prize (2004/05). He is active in academic organizations like the European Network for Cinema and Media Studies (NECS). His teaching spans courses on migration, cultural studies, and image theory. Professional service includes membership in CEU's AI Ethics Commission and peer review roles for academic journals. Meurer's interdisciplinary work integrates film, philosophy, and classical studies, reflecting a commitment to rethinking media's historical and political dimensions.

• Robotics
• Mechatronics
• Control Theory
• +۴ مورد دیگر

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.

• River Hydraulics
• Sediment Transport
• Morphodynamics
• +۷ مورد دیگر

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.