جستجوی استاد راهنمای دانشگاهی

• Vehicle Dynamics
• Integrated Vehicle Control
• Optimal Trajectory Design
• +۹ مورد دیگر

Dr. Balázs Németh is an Honorary Associate Professor and Senior Research Fellow at the Budapest University of Technology and Economics' Department of Control for Transportation and Vehicle Systems. He is affiliated with the MTA SZTAKI Systems and Control Lab and focuses on vehicle dynamics, integrated vehicle control, and optimal trajectory design. PhD in Transportation Sciences (2013) Automotive Engineer (2009) His research spans vehicle mechatronics and network virtualization, addressing challenges in road, air, and railway transportation automation. He has developed novel service placement algorithms for 5G and IoT edge cloud platforms, emphasizing delay constraints and resource elasticity. Recent work includes scalable edge cloud architectures and cost-efficient virtual network embedding. His publications highlight interdisciplinary expertise in transportation systems and network function virtualization. Scientific Awards János Bolyai Research Scholarship (2014-2017) Campus France Scholarship (2014) Multiple Publication Awards from the Institute for Computer Science and Control (2012-2017) Dr. Németh has contributed to multi-operator orchestration frameworks and self-healing systems in 5G networks, combining transportation control theory with modern cloud and network technologies.

József SÜTŐمشاهده پروفایل

دانشیار

• Machine Learning
• Digital Signal Processing
• Microcontroller Applications
• +۳ مورد دیگر

Dr. József SÜTŐ is an Associate Professor at the University of Debrecen's Faculty of Informatics, Department of IT Systems and Networks. His research focuses on machine learning, digital signal processing, and microcontroller applications for agricultural and biomedical systems. University of Debrecen, Faculty of Informatics Department of IT Systems and Networks Research areas combine computer science with environmental and health monitoring, including: Deep learning for insect pest management Edge computing in embedded systems Human activity recognition algorithms Computer vision for traffic and plant analysis Recent publications emphasize real-time AI deployment on low-power hardware, such as Raspberry Pi and microcontrollers, with applications in agricultural monitoring and wearable devices. He also investigates comparative model efficiency between shallow and deep learning architectures.

David Vinczeمشاهده پروفایل

پژوهشگر

• Fuzzy Systems
• Fuzzy Rule Interpolation
• Reinforcement Learning
• +۹ مورد دیگر

David Vincze is a researcher at the Department of Precision Mechanics, Chuo University, Japan. Previously affiliated with the University of Miskolc, Hungary, he has taught courses in Operating Systems, UNIX System Administration, and Modern Information Technologies. His research spans computational intelligence, fuzzy systems, reinforcement learning, and human-robot interaction. PhD in Computer Science Current Position: Researcher, Chuo University Previous Affiliation: University of Miskolc David Vincze's research focuses on Fuzzy Systems , particularly Fuzzy Rule Interpolation (FRI) , and its integration with Reinforcement Learning (e.g., FRIQ-learning). He applies these methods to Human-Robot Interaction (HRI) , drawing inspiration from ethology and animal behavior. His recent work explores applications in Parent-Child Interaction Therapy (PCIT) , using social robots to support child development and family communication. He also investigates Operating Systems Security , especially Linux kernel mechanisms. His publications show a consistent trend in developing and optimizing FRI-based learning methods for real-time, embedded, and robotic applications. He has worked on performance optimization, parallelization, and knowledge injection in FRIQ-learning, aiming to make fuzzy reinforcement learning more efficient and applicable in dynamic environments. Scientific Contributions: Developed FRIQ-learning: Fuzzy Rule Interpolation-based Q-learning Applied ethological models to robot behavior Designed fuzzy automata for HRI Optimized fuzzy inference for real-time systems Explored indoor localization for HRI experiments Vincze has advised students such as Alex Tóth and has been involved in student supercomputing teams (ASC 2014–2017). He has developed various Linux tools, including security extensions for Apache, video filters for MPlayer, and drivers for TV tuner cards. He maintains active research profiles on ResearchGate, Google Scholar, and Scopus. He leads projects in Mihoko Niitsuma's Lab at Chuo University, focusing on social robotics, behavior modeling, and real-time interaction systems.

Csorba Kristófمشاهده پروفایل

دانشیار

• Pattern Recognition
• Machine Learning
• Image Processing
• +۵ مورد دیگر

Kristóf Csorba is an Associate Professor at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics. His work bridges pattern recognition , machine learning , and image processing with applications in pharmaceutical process monitoring, swarm robotics, and embedded systems. He leads the Applied Mobile Research Group (AMORG) and develops smartphone-based sensor networks for tasks like object tracking and 3D mapping . Current research focuses on smart camera networks using Android smartphones Expertise in deep learning , 3D reconstruction , and real-time feedback control for industrial processes Collaborates on medical imaging (e.g., cardiac MRI analysis) and material science projects (e.g., void detection in solder joints) His publications highlight viscosity estimation via CNNs , Raman/NIR spectroscopy for dissolution prediction , and energy-efficient mobile computation . Co-author on 50+ works with over 13,962 reads and 395 citations. Key collaborators include Gábor Knyihár , Mohamed Azouz Mrad , and Hassan Charaf .

Gájász Zoltánمشاهده پروفایل

مدرس ارشد

• Power Electronics
• Control Systems
• Embedded Systems
• +۳ مورد دیگر

Gájász Zoltán, Senior Lecturer at Budapest University of Technology and Economics (BME), is affiliated with the Department of Automation and Applied Informatics under the Power Electronics Group. His research focuses on power electronics, control systems, and embedded technologies in industrial automation contexts. Contact details: Office located at Q.B213, Magyar tudósok krt. 2, Budapest 1117, Hungary. Phone: +36 (1) 463-2872

Veréb Szabolcsمشاهده پروفایل

استادیار

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

Dr. Szabolcs Veréb is an Assistant Professor at the Budapest University of Technology and Economics (BME) within the Faculty of Electrical Engineering and Informatics , specifically in the Department of Automation and Applied Informatics and its Power Electronics Group. His academic work focuses on power electronics, control systems, and energy storage technologies. Research interests include: Advanced control techniques for power converters Dead time compensation in dual active bridge systems Energy storage integration for grid applications Battery management system optimization Hardware-in-the-loop simulation technologies Recent work trends demonstrate specialization in: Grid-connected inverter control Dual active bridge converter optimization Real-time simulation with FPGA-based systems Application-specific battery balancing methods Contact: Vereb.Szabolcs@aut.bme.hu

• Embedded Systems
• Neural Networks
• Machine Learning
• +۳ مورد دیگر

Tamás Majoros is an Assistant Professor at the Faculty of Informatics, University of Debrecen , specializing in Embedded Systems and Neural Networks . His work bridges hardware design and biomedical applications. Primary Affiliation: Faculty of Informatics, University of Debrecen Academic Rank: Assistant Professor Major research areas include: Embedded systems for real-time data processing Neural networks in EEG signal analysis FPGA-based hardware acceleration for medical devices Particle physics collaborations (e.g., sPHENIX) His publications reveal a focus on EEG-based activity recognition , motor imagery classification , and radiation detector stability . Recent work emphasizes edge AI and low-cost neural interfaces . Scientific Awards: None explicitly mentioned. No details provided about advising or grants.

Richárd Pappمشاهده پروفایل

دانشیار

• Cultural Anthropology
• Holocaust Memory
• Ethnic Relations
• +۵ مورد دیگر

Richárd Papp is a current Associate Professor at the Department of Cultural Anthropology , Eötvös Loránd University , with concurrent roles as Director of the Institute of Social Relations . His academic work bridges cultural anthropology, ethnic studies, and religious anthropology. Primary affiliation: Department of Cultural Anthropology Administrative role: Director of Institute of Social Relations Research focus: Holocaust memory, Jewish identity, interethnic dynamics Over decades, Papp has explored transgenerational trauma and cultural identity across Central Europe. His publications span ethnographic humor studies, religious communities in Vojvodina, and memory frameworks. Recent interdisciplinary collaborations include underwater robotics applications, suggesting methodological diversification. His academic awards remain unlisted in available materials, but his 200+ publications reflect sustained scholarly output. Papp's work integrates fieldwork-based anthropology with emerging technologies for cultural preservation.

Dávid Szabóمشاهده پروفایل

دانشیار

• Sociolinguistics
• French Language and Literature
• Lexicography
• +۵ مورد دیگر

Dávid Szabó is a habilitated Associate Professor at the Institute of Romance Studies , Department of French Language and Literature , Eötvös Loránd University. His academic profile bridges sociolinguistics , focusing on argot and slang studies in French-Hungarian contexts, with computer graphics and C# software development . He has contributed to diverse fields, including AI in education , sustainable finance , and real-time graphics APIs . Research Highlights: His work explores the intersection of language evolution and technology, with recent publications on Green Finance , AI-driven educational tools , and parallel processing in graphics programming . He investigates linguistic taboos in Hungarian politics and translation challenges of urban French slang into Hungarian, while developing educational software like StudyHelper. Technical Contributions: Szabó has pioneered the integration of modern C# with graphics APIs (Vulkan, OpenGL) for real-time rendering , creating frameworks for multi-platform applications and shader program development . His technical papers emphasize code efficiency, API abstraction, and GPU optimization.

Bukyoung Jhunمشاهده پروفایل

پژوهشگر ارشد

• Complex Systems
• Statistical Physics
• Network Science
• +۴ مورد دیگر

Bukyoung Jhun is a Research Fellow at the Department of Network and Data Science at Central European University. His research focuses on applying statistical physics to complex systems, including network epidemiology, latent geometry of networks, and phase transitions. He holds a PhD in Physics from Seoul National University, where he also earned his BSc and MSc in Physics. Education: BSc in Physics, Seoul National University MSc in Physics, Seoul National University PhD in Physics, Seoul National University (2023) Research Interests: His work bridges statistical mechanics and network science, addressing challenges in complex systems such as epidemic dynamics, network control via graph neural networks, and the latent geometric structures underlying real-world networks. He investigates critical phenomena in open quantum systems and infrastructure resilience against cascading failures. Key Contributions: Recent work explores reinforcement learning applications for decentralized power grid optimization, mean-field theory for dissipative systems, and hypergraph models for epidemic containment strategies. His publications highlight interdisciplinary approaches to understanding phase transitions and network-based interventions. Lab/Affiliations: Active within CEU’s Department of Network and Data Science, his research aligns with the university’s focus on computational and theoretical analyses of complex systems.

Gerardo Iñiguezمشاهده پروفایل

دانشیار

• Network Science
• Computational Social Science
• Data Science
• +۸ مورد دیگر

Gerardo Iñiguez is an Associate Professor in Complex Systems at Tampere University's Faculty of Information Technology and Communication Sciences. He holds visiting positions at Central European University (Department of Network and Data Science), Aalto University (Computer Science), and UNAM (Center of Complexity Science). His research focuses on network science, computational social science, and data science, particularly studying social dynamics, contagion processes, and urban mobility. He co-founded the data science startup Predify (Mexico) and is involved in initiatives like the European Humane AI Net project. Iñiguez also contributes to interdisciplinary fields through game development and science communication. Education: PhD in Computational Science from Aalto University (Finland), MSc and BSc in Physical Sciences and Physics from UNAM (Mexico). His work bridges academia and industry, with a focus on applying network theory to real-world problems. Notable achievements include studies on rank dynamics, social network evolution, and the impact of deception in social systems. He actively publishes in top journals like Nature Communications and Science Advances. Research themes include complex contagion models, opinion dynamics, and the interplay between social structure and behavior. He explores how generic mechanisms shape hierarchy formation and uses statistical inference to validate models against empirical data. Current projects aim to optimize urban policies and understand polarization in digital societies.

• Electrical Engineering
• Environmental Science
• Embedded Systems
• +۳ مورد دیگر

Prof. György Györök serves as a Professor and Dean at Óbuda University's Alba Regia Faculty. His work bridges electrical engineering, environmental science, and embedded systems. He leads research in analog circuit design, fault detection systems, and sustainable industrial processes. His recent studies include innovation ecosystem modeling (Triple Helix Model), FPAA applications in signal processing, and environmental impact assessments of industrial processes. Research interests focus on pragmatic electrical engineering solutions, machine learning-driven systems, and sustainable technology development. Notable areas include battery management systems for electric vehicles, real-time fault detection algorithms, and environmental impact analysis of manufacturing processes. His publications reflect interdisciplinary innovation, combining hardware-software co-design with environmental and educational technology applications. He has pioneered FPAA-based measurement tools and smart monitoring systems for industrial and academic use. No awards are explicitly mentioned, but his extensive publication record indicates significant contributions in technical fields. As dean, he oversees academic governance while maintaining active research in embedded systems and sustainable engineering. Collaborations likely involve industry partners given his focus on pragmatic engineering solutions. His work integrates cutting-edge technologies like neural networks with traditional analog circuit design for real-world applications.

Éva Hajnalمشاهده پروفایل

دانشیار

• Environmental Science
• Computer Science
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Éva Hajnal is an Associate Professor and Vice Dean for Research at the Alba Regia Technical Faculty of Óbuda University. Her work focuses on interdisciplinary research spanning environmental monitoring technologies, artificial intelligence applications in agriculture, and sensor development. She leads efforts in livestock health monitoring using rumen bolus sensors and has contributed to ecological assessment methodologies using diatoms. Her email is hajnal.eva@amk.uni-obuda.hu , and she is located at Room 25 in Building K on Budai út 45. Her research integrates computer science with ecological challenges, addressing issues like groundwater quality and wind energy modeling. Research interests include: Biosensor development for livestock health AI-driven environmental data analysis Ecological status assessment using diatoms Virtual reality and motion tracking systems Online mapserver technologies Recent work emphasizes long-term rumen temperature analysis, low-computational algorithms for cattle heart rate estimation, and multilingual handwritten character datasets. Her research trends show strong focus on applying computational methods to ecological and agricultural challenges. She has contributed to projects like wastewater management control systems and biodiversity indices for freshwater ecosystems. No specific scientific awards are listed. Her administrative role as Vice Dean for Research involves overseeing research strategy and collaboration at the faculty level. No advising or grant details are provided in available texts. Her work is associated with the university's technical faculty and environmental engineering teams, contributing to both academic and applied research initiatives.

• Computer Vision
• Image Processing
• Lighting Technology
• +۴ مورد دیگر

Géza Várady is an Associate Professor at the University of Pécs (PTE), holding roles such as Vice Dean for Scientific Affairs at the Faculty of Engineering and Information Technology. He has served as Head of the Department of Technical Informatics and has held various academic leadership positions. His career spans over two decades, with research focusing on computer vision, image processing, and lighting technology. He holds a PhD from the Doctoral School of Informatics at the University of Pannonia. Education includes a Master’s degree in Computer Engineering and a PhD in Informatics. He has also held research positions internationally, such as a Leonardo Fellowship at Schefenacker GmbH in Stuttgart, Germany. His research interests include mesopic vision models, color correction systems, 3D depth sensing using monocular cameras, and drone-based applications. He leads the drone research team and has supervised doctoral students in areas like image data correction and 3D modeling. Notable achievements include the 2024 Publication Excellence Award, IBM Faculty Awards for adaptive lighting systems, and the Walsh Weston Award for contributions to lighting science. He actively participates in academic governance, serving on national committees like the Hungarian Academy of Sciences’ Engineering Sciences Committee and the John von Neumann Computer Society. Publications span over 100 articles in journals like Lighting Research and Technology and Technical Gazette , focusing on topics ranging from photogrammetry to autonomous drone control. He has authored textbooks on MPI programming and computer architecture.