جست‌وجوی استاد و پژوهشگر

Gergely Mezeiمشاهده پروفایل

دانشیار

• Model-driven engineering
• Multi-level modeling
• Formal verification
• +۶ مورد دیگر

Dr. Gergely Mezei is an Associate Professor and Deputy Head of the Department of Automation and Applied Informatics at the Budapest University of Technology and Economics (BME) , Hungary. He is affiliated with the Applied Computer Science Group within the department and is actively involved in research and education in model-driven engineering and formal methods. His research interests lie at the intersection of multi-level modeling , formal verification , and model transformation systems . He has contributed extensively to the development of modeling languages and tools, particularly in the context of DMLA (Deep Multi-Level Architecture) and Melanee , focusing on enabling rigorous, scalable, and verifiable modeling practices. Dr. Mezei's work emphasizes performance optimization in model transformations, visual modeling frameworks , and domain-specific languages . His research spans both theoretical foundations and practical tool implementations, with a strong focus on bridging the gap between formal semantics and usable modeling environments. His recent publications reflect a consistent focus on advancing the state-of-the-art in multi-level modeling and formal verification , with contributions to international workshops such as MULTI and MPM . These works explore challenges in model validation, transformation correctness, and the usability of modeling tools in complex systems engineering. Contact: Email: gmezei@aut.bme.hu Office: Q.B228, Budapest University of Technology and Economics, 1117 Budapest, Magyar tudósok krt. 2., Hungary Phone: +36 (1) 463-3491

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

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

• Model checking
• Formal verification
• Safety critical systems
• +۳ مورد دیگر

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.

• Software Engineering
• Artificial Intelligence
• Computer Science Education
• +۳ مورد دیگر

Dr. Valéria Póser serves as Vice Dean of Education at the John Neumann Faculty of Informatics, Óbuda University, while also holding positions as Senate senator and Education Committee voting member. She earned her PhD in 2011 and maintains active research and administrative roles within the university. Her language proficiency includes English at Middle level and Russian at Basis level, supporting her international academic engagement. Dr. Póser's research focuses on software engineering with emphasis on artificial intelligence applications, information security, and educational technology. She has received multiple Dean's commendations in 2009, 2013, and 2016, recognizing her contributions to academic excellence. Her publication record remains active with recent works reflecting trends in intelligent systems, software development methodologies, and educational applications of technology. Dean's commendation 2009 Dean's commendation 2013 Dean's commendation 2016 As Vice Dean of Education, Dr. Póser oversees curriculum development, teaching quality, and educational innovation across the Faculty of Informatics. Her leadership connects academic research with practical implementation in technology education.

• Hydrodynamics
• Sediment Transport
• River Engineering
• +۳ مورد دیگر

JÓZSA János is a Professor at the Department of Hydraulic and Water Resources Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics. He serves as Coordinator of the Specialization in Infrastructure Engineering (MSc) and is a member of both the Pál Vásárhelyi Doctoral School of Civil Engineering and Earth Sciences and the Faculty's Habilitation and Doctoral Council. His research focuses on: Hydrodynamics of surface waters and interface processes Wind-induced lake currents and sediment motion Flow, mixing, and sediment transport in compound-channel rivers Floodplain inundation modeling Effects of ship-induced waves on river banks Analysis of his 2019-2024 publications reveals consistent emphasis on Danube River hydrodynamics, sediment transport mechanisms, and environmental impacts of engineering interventions. Key methodological contributions include validation of 2D/3D numerical models against field measurements, novel sediment transport calculation methods using shear Reynolds number, and practical frameworks for assessing ship wave impacts. His work bridges computational fluid dynamics with environmental monitoring. Professor Józsa has participated in international collaborations including the ERDF-funded SEDDON project for Austrian-Hungarian sediment research. No information on specific research grants or student advising was provided in the source materials.

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

عضو هیئت علمی

• 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.

• 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.

Jürgen Zieglerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Recommender Systems
• Explainable AI
• +۹ مورد دیگر

Jürgen Ziegler is a Senior Full Professor at the Department of Computer Science and Applied Cognitive Science within the Faculty of Computer Science at the University of Duisburg-Essen. He leads the Interactive Intelligent Systems Group, focusing on human-computer interaction, recommender systems, and explainable AI. His work emphasizes transparency, user control, and interdisciplinary collaboration with industry partners. He earned his doctoral degree from the University of Stuttgart, specializing in formal user interface design methodology. Prior to his current role, he headed the Competence Center for Software Technology and Interactive Systems at the Fraunhofer Institute for Industrial Engineering (IAO) in Stuttgart. He also served as Editor-in-Chief of the journal i-com - Journal of Interactive Media from 2001 to 2021. Ziegler’s research bridges academic and industrial domains, with applications in e-commerce, health, social media, and automotive systems. He investigates how to make intelligent technologies more transparent and user-controllable, particularly in conversational recommender systems, personalized interfaces, and social media analytics. His work integrates visualization techniques and semantic data models to enhance user experience. His recent publications focus on multistakeholder evaluation frameworks, explainable AI, and the integration of conversational agents with traditional interfaces. These studies explore domains like health promotion, smart environments, and education, using methods such as knowledge graphs, generative AI, and interactive sliders for feature dependency visualization. Ziegler founded and co-chairs the German Special Interest Group on User-Centred Artificial Intelligence. He has contributed to funded projects like SPIDER, FairWays, and PAnalytics, which address polarization in social networks, interactive recommendation, and health support systems. His leadership roles include organizing international workshops on explainable user models and user-centered AI. He supervises PhD students and advises on projects related to recommender systems, mental models, and user interaction preferences. His team collaborates on multi-method approaches for transparent decision support and the development of tools for measuring user perception of recommendation transparency. Labs and teams under his direction include the Interactive Intelligent Systems Group, which develops demonstrators like AR-based shopping advisors and hybrid recommendation frameworks. His work emphasizes both theoretical advancements and practical implementations across diverse application scenarios.

Szabolcs Kertészمشاهده پروفایل

دانشیار

• Membrane Separation Processes
• Wastewater Treatment
• Food Industry Waste Management
• +۳ مورد دیگر

Dr. Szabolcs Kertész serves as Associate Professor at the Faculty of Engineering, University of Szeged, Hungary, where he also manages the Innovation, Knowledge and Technology Transfer Office (ITTTI). His academic career spans over 15 years with significant contributions to membrane technology research and environmental engineering education. His educational background includes: Ph.D. in Environmental Sciences (2011) from University of Szeged Environmentalist MSc (2006) from University of Szeged Faculty of Sciences Habilitation (2019) from Doctoral School of Environmental Sciences Dr. Kertész's research centers on membrane separation processes for environmental applications, with particular emphasis on wastewater treatment technologies. His work investigates innovative approaches to reduce membrane fouling through 3D printed turbulence promoters, vibration technologies, and combined treatment methods. He has made substantial contributions to dairy industry wastewater management , developing sustainable solutions that reduce environmental impact while maintaining process efficiency. His research bridges chemical engineering principles with practical environmental applications, emphasizing translation of laboratory findings to industrial implementation. His recent publications demonstrate a strong trend toward integrating advanced manufacturing techniques like 3D printing with traditional membrane technologies. The research spans from fundamental studies of membrane fouling mechanisms to applied work on dairy and food industry wastewater treatment, showing consistent growth in impact factor and interdisciplinary collaboration. Among his distinguished recognitions: Bolyai-plakett (2024) Excellent Talent Care Award (2024, 2018) János Bolyai Research Scholarship (multiple periods) New National Excellence Program Scholarship (2020-2022) Dr. Kertész has secured significant research funding as Principal Investigator for projects including 'Optimization of hydrodynamic conditions with 3D printed elements' (NKFIH/OTKA FK142414) and 'Development of a dairy-based beverage selectively enriched with milk fat globule membrane materials.' His research group maintains international collaborations with institutions in Serbia, Turkey, Finland, and Belgium. He leads a research team focused on membrane technology innovation, specifically investigating how 3D printed elements can enhance membrane filtration efficiency in wastewater treatment applications. His laboratory combines experimental membrane testing with computational modeling to optimize hydrodynamic conditions in filtration systems, with particular emphasis on dairy industry applications.

• Supply Chain Management
• Logistics Engineering
• Petroleum Industry Optimization
• +۳ مورد دیگر

János Baumgartner serves as Assistant Professor at the Department of Computer Science, Faculty of Information Technology, University of Pannonia in Veszprém, Hungary. His office is located in Building I, room 905, and he actively contributes to the PIMS Academy postgraduate program. His research focuses on: Supply Chain Management in petroleum industry Logistics Engineering and optimization Mathematical modeling of value chains Operations research applications Petroleum refining optimization Dr. Baumgartner plays a key role in the PIMS Academy, a specialized program developed with MOL Group that trains specialists in oil industry supply chain management. The program teaches market-leading optimization tools for downstream petroleum operations, covering subjects including LP Modeling, Petroleum Refining, Short Term Scheduling, and Supply Chain Management Fundamentals. As part of Hungary's educational initiative in energy sector optimization, his work contributes to producing graduates with the Specialist of Supply Chain Optimisation in Petroleum Industry (SCOPI) credential through a two-semester English-language program with potential industry placement. His academic contributions bridge computer science theory with practical industrial applications, particularly in optimizing complex petroleum value chains across multiple production sites and operational domains.

Márta Seebauerمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Science
• Civil Engineering
• +۵ مورد دیگر

Dr. Márta Seebauer is an Associate Professor at Alba Regia Faculty of Óbuda University. Her research spans interdisciplinary areas including artificial intelligence applications in energy systems, structural engineering reliability analysis, financial risk modeling, and sensor technology for food quality assessment. She maintains an active publication record with work showcased in IEEE symposiums and specialized journals. Email: seebauer.marta@uni-obuda.hu Consultation Hours: Thursdays 14:00-15:00 Her research interests emphasize practical applications of computational methods in civil, environmental, and smart city technologies. Recent work includes neural network-based energy monitoring systems and asbestos risk mitigation strategies during building demolition.

Bertalan Polnerمشاهده پروفایل

استادیار

• Cognitive Psychology
• Schizotypy
• Sleep and Psychosis
• +۴ مورد دیگر

Bertalan Polner is an Assistant Professor at the Institute of Psychology , Eötvös Loránd University, affiliated with the Department of Clinical Psychology and Addiction . He serves as a Member of the Research Ethics Committee and maintains an active research profile at Radboud University’s Donders Centre for Cognition as a PostDoc researcher. Academic Rank: Assistant Professor Current Institutions: Eötvös Loránd University (ELTE), Radboud University Research Focus: Schizotypy-psycho sis interactions, computational psychiatry, sleep-cognition links, memory mechanisms, and emotion regulation. Dr. Polner’s research explores how positive schizotypy interacts with sleep disturbances and visual perception anomalies , using network analysis to map relationships between personality traits and mental health outcomes. His work often integrates computational modeling (e.g., drift diffusion models, predictive coding) to understand cognitive deficits in psychotic disorders. Recent publications highlight his contributions to: Mapping schizotypy’s role in stress-reactivity (2025) Investigating REM sleep’s impact on mind-wandering (2023) Analyzing reward processing in borderline personality disorder through schema modes (2023) He also develops educational tools like the introduction_to_R and Structural Equation Modeling repositories on GitHub, supporting psychological research methodology.

• Statistical Mechanics
• Molecular Dynamics
• Liquid Structure
• +۳ مورد دیگر

Professor András Baranyai is a Doctor of Science at Eötvös Loránd University's Institute of Chemistry, where he leads research in physical chemistry and molecular modeling. His work focuses on developing advanced computational methods to understand liquid structure and ion interactions. Research interests explore: Molecular dynamics of aqueous systems Statistical mechanics foundations Polarizable force fields Water's anomalous properties Interfacial phenomena Astrochemical processes His publications demonstrate consistent focus on water structure, ionic solutions, and methodological advances in molecular simulation techniques. Laboratory activities include development of novel algorithms for charge distribution calculations and validation of molecular models against experimental data.