جستجوی استاد راهنمای دانشگاهی

Gábor Györkeمشاهده پروفایل

استادیار

• Thermodynamics
• Energy Engineering
• Fluid Mechanics
• +۳ مورد دیگر

Gábor Györke is an Assistant Professor at the Department of Energy Engineering , Faculty of Mechanical Engineering , Budapest University of Technology and Economics . His research focuses on thermodynamic analysis of metastable and supercritical fluids, with applications in energy systems and phase transition phenomena. PhD in Mechanical Engineering (2020) M.Sc. in Energy Engineering (2014) B.Sc. in Energy Engineering (2012) His work explores anomalous fluid properties in pseudo-critical regions, organic Rankine cycle optimization, and phase transitions in supercritical water loops for nuclear reactors. Publications emphasize thermodynamic modeling, working fluid classification, and metastable state analysis. Recent research trends include: Supercritical fluid behavior under non-standard conditions Phase transition dynamics in energy conversion systems Development of novel working fluids for thermal cycles Mathematical modeling of metastable liquid regions

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.

Erika Lázárمشاهده پروفایل

استادیار

• Customer Experience
• Marketing Research
• Neuromarketing
• +۳ مورد دیگر

Erika Lázár serves as an Assistant Professor and researcher at the University of Pécs, Faculty of Business and Economics within the Marketing and Tourism Department, while maintaining active research affiliation with the CoRe lab (Consumer Behavior Research Center). Her work integrates academic instruction with cutting-edge consumer behavior analysis. Her academic credentials include: MSc in Sociology from Budapest Corvinus University (2014) Master's degree in Marketing from University of Pécs Faculty of Business and Economics (2018) Ongoing doctoral studies in Business Administration at University of Pécs since 2018, focusing on emotional impacts of retail mobile applications on customer experience Dr. Lázár specializes in neuromarketing and digital observation methodologies, examining how emerging technologies shape consumer emotions and decision-making processes. Her research bridges traditional market research with innovative techniques like eye-tracking and automated content analysis, particularly investigating emotional responses to mobile retail applications. This work establishes critical connections between technological interfaces and psychological consumer reactions in digital commerce environments. Her publication portfolio demonstrates consistent focus on methodological innovation in consumer research, with recent works exploring gamified surveys, automated content analysis of emotional responses, and neuromarketing validation techniques. These studies collectively advance understanding of digital consumer behavior through rigorous application of both established and emerging research frameworks. Scientific Awards: No scientific awards documented in available materials While specific grant funding isn't detailed, her doctoral research and CoRe lab affiliation indicate active participation in institutional research initiatives. Her teaching responsibilities in the Marketing and Tourism Department since 2023 demonstrate commitment to academic knowledge transfer alongside research activities. As a core member of the CoRe lab (Consumer Behavior Research Center), Dr. Lázár contributes to Hungary's neuromarketing research infrastructure through empirical studies combining digital observation, survey methodologies, and biometric measurements to decode complex consumer behavior patterns in retail contexts.

Gábor Rappaiمشاهده پروفایل

استاد

• Econometrics
• Financial Time Series Modeling
• Causal Analysis
• +۳ مورد دیگر

Professor Gábor Rappai is a faculty member at the Department of Economics and Econometrics, University of Pécs. He serves as Head of the Doctoral School of Business Administration since 2019 and has held significant administrative roles including Vice Dean (1998-2005), Dean (2005-2011), and Senate member (14 years). PhD in Economics (Hungarian Academy of Sciences, 2003) Habilitation in Economics (2003) Candidate of Economics (1997) Graduated in Commodity Trading (Janus Pannonius University, 1987) His research focuses on econometric methodologies applied to financial time series analysis, causal inference in economic systems, and stochastic modeling in sports economics. He has developed frameworks for strategic policy evaluation and integrated quality control with production-marketing interfaces in JIT environments. Publications demonstrate expertise in sports economics (UEFA Champions League dynamics), policy evaluation (Europe 2020 strategic goals), and operations management (JIT production systems). Key methodologies include econometric testing, stochastic modeling, and applied mathematical optimization. Active in professional communities, he contributes to the Hungarian Academy of Sciences' Scientific Committee of Statistics and Prognostics, Hungarian Statistical Society, and Economic Modelling Society.

• 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.

János Kataمشاهده پروفایل

مدرس ارشد

• Educational Sciences
• Technical Pedagogy
• Vocational Education
• +۵ مورد دیگر

János Kata is a Senior Lecturer at the Department of Technical Pedagogy , Budapest University of Technology and Economics (BME), Faculty of Economics and Social Sciences. His work focuses on technical pedagogy, higher education assessment, and vocational training processes. With a background in mechanical engineering and engineering teacher education, he has contributed extensively to understanding student failure phenomena, group assessment methods, and lifelong learning frameworks. Research Trends: Analysis of student performance, technology integration in education, and optimization of vocational training using system engineering models. Key Publications: Books and conference papers on learning technology, brainstorming-based assessment, and cultural dimensions of education (2013-2000). Academic Affiliations: Active member of BME's Department of Technical Pedagogy since 1999. Holds degrees in mechanical engineering and engineering pedagogy from BME. Notable Contributions: Development of operation research teaching methods for technical educators and system engineering models for vocational training optimization. His 1999-2013 works bridge theoretical pedagogy with practical industrial education needs.

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.

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.

Gyula Simonمشاهده پروفایل

استاد

• Sensor Networks
• Localization Systems
• Signal Processing
• +۳ مورد دیگر

Prof. Gyula Simon is a faculty member at Óbuda University's Alba Regia Faculty, where he holds the rank of Professor. His research focuses on sensor networks, localization systems, and signal processing. He has contributed extensively to advancements in technologies like TDOA-based positioning, VLC communication, and acoustic source tracking. With over two decades of academic work, his publications span applications ranging from agricultural sensors to fault-tolerant indoor positioning systems. Key research interests include developing robust localization algorithms for both outdoor and indoor environments, optimizing wireless sensor networks for energy efficiency and reliability, and integrating emerging technologies like visible light communication (VLC) for beaconing and tracking. His work bridges theoretical signal processing with practical implementations in fields like smart agriculture and security systems. Recent articles highlight innovation in hyperbolic localization methods, sparse sampling techniques for camera systems, and semi-automatic plant growth monitoring. Despite prolific publication output, no scientific awards are explicitly listed. Consultation hours are arranged via email at simon.gyula@amk.uni-obuda.hu, with his office located at Building F Room 316 in Székesfehérvár.

• 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.

• Explosion Protection
• Biogas Technology
• Combustion Engineering
• +۵ مورد دیگر

Dr. Zoltán Siménfalvi serves as Dean of the Faculty of Mechanical Engineering and Informatics at the University of Miskolc, Hungary, holding the academic rank of Professor. His leadership encompasses oversight of academic programs, research initiatives, and administrative functions within the faculty, positioning him at the forefront of mechanical engineering education and innovation in Central Europe. His research spans explosion protection, biogas technology, combustion engineering, and sustainable energy systems. Key focus areas include computational fluid dynamics (CFD) simulations for hazardous area classification, flash point determination of flammable mixtures, hydrogen/methane dispersion modeling, and optimization of anaerobic digestion processes. His work bridges theoretical analysis with industrial applications in energy safety and renewable resource utilization. Analysis of his 15 most recent publications (2022-2024) reveals dominant themes in explosion hazard analysis (60% of works), particularly 2D/3D hazardous area modeling, gas detector performance in ammonia environments, and FLACS-CFD simulations for hydrogen-methane mixtures. Biogas technology constitutes 25% of output, emphasizing mixing efficiency in anaerobic digesters and process optimization. Remaining research addresses sustainable engineering through carbon capture strategies for V4 countries, coal gasification efficiency, and propane leakage dynamics. No scientific awards were documented in the available materials. Information regarding student advising, research grants, or laboratory supervision was not provided in source materials. His administrative role as Dean suggests strategic oversight of research funding and academic programs, though specific grant details remain unreported. No dedicated research laboratories or specialized teams were explicitly referenced, though his publications indicate collaboration with computational modeling groups and industrial safety partners for experimental validation of CFD simulations.

Charaf Hassanمشاهده پروفایل

استاد

• Distributed Systems
• Network Coding
• Internet of Things (IoT)
• +۱۲ مورد دیگر

Charaf Hassan is a Professor and Head of Department at the Budapest University of Technology and Economics, specifically in the Department of Automation and Applied Informatics. His work spans interdisciplinary domains, focusing on distributed systems, network coding, and IoT technologies. His research interests include Distributed Systems and Domain-Specific Modeling Network Coding and Mobile Peer-to-Peer Systems Model-Driven Development for Multiplatform Applications Machine Learning in Fluid Dynamics and Pharmaceutical Analysis Recent publications highlight trends in applying convolutional neural networks to viscosity estimation, model-driven methodologies for IoT, and network coding in cloud storage. He teaches advanced courses in distributed systems and software architectures at the university level.

Stumpf Péterمشاهده پروفایل

دانشیار

• Electrical Engineering
• Control Systems
• Power Electronics
• +۳ مورد دیگر

Péter Stumpf is an Associate Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics. His research focuses on advanced control systems, power electronics, and machine learning applications in electrical drives. Contact Information: • Office: Building Q.B114, 1117 Budapest, Magyar tudósok krt. 2. Hungary • Phone: +36 (1) 463-2870 • Email: Stumpf.Peter@aut.bme.hu His recent work explores predictive control methods, including Model Predictive Control (MPC) and Reinforcement Learning (RL), applied to permanent magnet synchronous motors, grid-side converters, and high-speed drives. He has developed novel algorithms for optimal current computation, weighting factor assignment, and harmonics compensation. Key research trends include: Integration of machine learning in control systems Optimization of power electronics for renewable energy Advanced modulation techniques in motor drives Compensation of nonlinear effects in high-speed systems

• Biomechanics
• Structural Mechanics
• Computational Modeling
• +۳ مورد دیگر

Dr. Brigitta Krisztina Tóth is an Associate Professor at the Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). She serves on the Faculty Council and its Education Committee, and holds the communication and marketing officer role within her department. Her research bridges structural mechanics and biomedical applications, with a focus on computational modeling and mechanical testing. Academic Affiliation: Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, Department of Structural Mechanics Leadership Roles: Member of Faculty Council and Education Committee; Communication and Marketing Officer Research Trends: Her publications span biomechanics (brain aneurysms, collagen fibrils), hyperelastic material modeling, fire safety engineering, and interdisciplinary topics like hand hygiene protocols. Recent work emphasizes energetically stable computational methods and statistical evaluation of biological tissues. Key Research Areas: Biomechanics, Structural Mechanics, Computational Modeling, Hyperelastic Materials, Cerebral Aneurysm Analysis Scientific Awards: #építő250 scholarship Teaching: Courses include Material Models in Mechanics , Nonlinear Mechanics , and foundational topics in structural analysis.

Attila Imreمشاهده پروفایل

استاد

• thermodynamics
• energetics
• physical chemistry
• +۹ مورد دیگر

Dr. Attila Imre is a Full-Time Professor in the Department of Power Machines and Systems at Budapest University of Technology and Economics (BME) . He also serves as a Part-Time Scientific Advisor at the MTA Energy Research Center . His research spans thermodynamics, energetics, physical chemistry, and ecology, with a focus on working fluids, phase transitions, and energy systems. Doctor of Science (DSc), Hungarian Academy of Sciences (2015) PhD in Physics, ELTE (1996) DrUniv in Solid-State Physics, ELTE (1994) MSc in Physics, ELTE Faculty of Physics (1990) Imre’s research integrates theoretical and applied studies in thermodynamic cycles, metastable fluids, and supercritical systems. He has pioneered work on working fluid selection, cycle efficiency, and cold energy utilization, particularly in organic Rankine cycles and power-to-methane technologies. His 15 most recent publications emphasize artificial intelligence in energy systems, economic analyses of sustainability, and thermodynamic modeling of extreme-state fluids. Key trends include AI-driven performance mapping, techno-economic evaluations of waste heat recovery, and ecological applications of fractal geometry. Scientific Awards : Humboldt Scholarship, Johannes Gutenberg University, Mainz, Germany (1999) Imre has held prestigious postdoctoral roles at the University of Tennessee and senior research positions in Hungarian institutions. His work bridges energy engineering, computational modeling, and interdisciplinary challenges in translation and cultural studies.