جست‌وجوی استاد و پژوهشگر

• 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.

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.

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.

Csaba Hegedűsمشاهده پروفایل

دانشیار

• Operations Management
• Risk Management
• Quality Control
• +۳ مورد دیگر

Dr. Csaba Hegedűs is an active Associate Professor in the Department of Supply Chain Management at the University of Pannonia, Hungary, with office in Building "A", Room 121. He teaches core modules including Business Process Modeling and Re-engineering, Reliability and Risk Management, Quantitative Methods, and Production Quality Control, reflecting his operational research focus. Contact details are email: hegedus.csaba@gtk.uni-pannon.hu; phone: +36 88 624 – 106. Educational background: MSc in Engineering Management (2008) PhD (year unspecified) His research centers on Operations Management with interdisciplinary applications in industrial risk and uncertainty. Key areas include: Risk-based quality control systems Measurement uncertainty in conformity assessment Matrix-driven project planning frameworks Statistical process control under risk conditions Survival analysis of IT project management Decision support for industrial risk mitigation Publication trends (2013-2023) reveal sustained innovation in risk-modified control charts and matrix-based project libraries, bridging Operations Research, Statistics, and Industrial Engineering to address real-world uncertainty in quality decisions. Scientific awards: No documented awards in provided materials As Associate Professor, he likely supervises graduate research but no students are listed. His project experiences and GMT consultation role suggest applied industry collaborations, though specific grants or advising details remain unreported. Consultation hours require email pre-negotiation (Mondays 15:00-16:00). No dedicated laboratories or formal research teams are referenced in the available information.

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.

Carolin Hannuschمشاهده پروفایل

مدرس ارشد

• Algebraic coding theory
• Cryptography
• Error-correcting codes
• +۲ مورد دیگر

Dr. Carolin Hannusch is a Senior Lecturer at the Department of Computer Science, Faculty of Informatics, University of Debrecen, Hungary. She holds a B.Sc. (2009) and M.Sc. (2011) in Mathematics from the University of Debrecen, and completed her Ph.D. there in 2015. Her office is located in Room I129 of the Faculty of Informatics building. Her primary research focuses on algebraic coding theory and cryptography , with expertise in error-correcting codes, combinatorial designs, discrete mathematics, and applications in cybersecurity. She also publishes in mathematics education and digital text analysis. Her recent publications demonstrate strong interdisciplinary work across coding theory (e.g., binary self-dual codes, Goppa codes), cryptographic systems (e.g., hash functions, symmetric cryptosystems), and educational technology (e.g., digital text management, online trigonometry instruction). Awards include: Special Price at XXX. Students' Conference Hungary (2011) Universitas Prize for Young Researchers (2015) University of Debrecen's "Thesis of the Year" Prize (2018) She maintains collaborations with researchers across Europe and has presented work at international conferences including FedCSIS, CITDS, and Central European Conference on Cryptology.

Bertalan Beszédesمشاهده پروفایل

مدرس ارشد

• Control Systems
• Renewable Energy Systems
• Embedded Systems
• +۵ مورد دیگر

Dr. Bertalan Beszédes is a Senior Lecturer at Óbuda University's Alba Regia Faculty. His work focuses on control systems, renewable energy, and embedded electronics. He holds a consultation room at Building F, Room 321 in Székesfehérvár. His research emphasizes sustainable energy solutions, fault-tolerant systems, and automation applications in agriculture and manufacturing. Research interests include solar tracking systems, industrial welding control, and energy-efficient HVAC systems. He has contributed to projects involving smart security systems, vintage electronic device modernization, and educational robotics using LEGO Mindstorms. His publications span over two decades with a focus on embedded system reliability and renewable energy integration. Key innovations include off-grid power supply architectures and hybrid battery systems. His recent work (2023-2025) addresses challenges in smart agriculture, building automation, and legacy system upgrades. Beszédes maintains an active presence in both theoretical and applied electronics research.

Ediboglu Bartos Gayeمشاهده پروفایل

استادیار

• Computer Science
• Machine Learning
• Pattern Recognition
• +۳ مورد دیگر

Dr. Ediboglu Bartos Gaye is an Assistant Professor at Óbuda University, located in Székesfehérvár, Hungary. Their research focuses on machine learning applications in handwriting recognition, multilingual systems, and pattern recognition. They hold an office at building K room 17 on the Budai út campus. Research interests include developing deep learning models for offline handwritten character recognition, creating multilingual datasets, and improving feature extraction techniques. Their work emphasizes cross-language analysis and performance optimization in handwriting classification systems. Recent publications span topics such as case-sensitive classification, Hungarian handwriting recognition, and pre-processing methods. Though no scientific awards are listed, their contributions to multilingual dataset development and cultural context in semantic systems demonstrate impactful research directions. Advising and grant details are not provided in available materials. No lab or team affiliations are explicitly mentioned, though their work suggests involvement in computational linguistics and AI research groups.

Margit Makóمشاهده پروفایل

مدرس

• Electronics Engineering
• Embedded Systems
• Circuit Design
• +۳ مورد دیگر

Margit Makó is a Lecturer at Óbuda University, affiliated with the BUDAi Road Campus (8000 Székesfehérvár, Budai út 45). Her research focuses on electronics engineering, embedded systems, and circuit design, with a particular emphasis on Field-Programmable Analog Arrays (FPAA), control systems, and educational technology. She has published extensively on topics including analog circuit robustness, sensorless motor control, and hybrid feedback circuits. Her work often bridges theoretical concepts with practical applications, such as developing educational measurement laboratories and optimizing pneumatic cylinder control systems. Recent contributions include innovative FPAA-based solutions for circuit testers and hybrid systems. While her primary expertise lies in electronics, she has also explored interdisciplinary areas like mathematical modeling of germination kinetics and comparative pedagogy analysis between Hungary and France. Makó’s articles reflect a strong trend toward real-time systems, fault-tolerant design, and reconfigurable hardware. Her research highlights the integration of microcontrollers with FPAA for enhanced system performance. No scientific awards are explicitly mentioned in the provided materials. Consultation hours are held weekly on Mondays from 10:40 to 11:25 in Room 24 of Building K at the BUDAi Campus. She can be reached at mako.margit@amk.uni-obuda.hu for academic inquiries.

Marc Kaufmannمشاهده پروفایل

دانشیار

• Behavioral Economics
• Motivated Thinking
• Beliefs and Perception
• +۳ مورد دیگر

Marc Kaufmann is an Associate Professor in the Department of Economics and Business at Central European University (CEU), Vienna. He holds a PhD in Economics from Harvard University (2017). His research focuses on behavioral economics, exploring topics like motivated thinking, socially responsible behaviors, and belief dynamics. He leads the Center for Belief Update and Debiasing (DEBIAS) and has organized interdisciplinary events on topics such as degrowth economics and data analysis tools. Education: PhD in Economics, Harvard University (2017); earlier work includes contributions to energy efficiency studies in the Belgian building sector (2011). Research interests span applied economic theory, particularly in domains of belief formation, social responsibility in markets, and labor market behaviors. His recent work examines how secondary markets affect ethical consumer choices and the dynamics of chosen beliefs in decision-making processes. Professional involvement includes organizing academic seminars like 'Brownbag Seminars' exploring topics from effort projection bias to narrow bracketing in work choices. He is also a developer of congame , an experimental economics software platform.

Ákos Hutterمشاهده پروفایل

دانشیار

• Architectural Design
• Urban Planning
• Historical Architecture
• +۳ مورد دیگر

Ákos Hutter is an Associate Professor at the Department of Planning and Architectural Studies , Faculty of Engineering , University of Pécs . His career spans architectural design, education, and research, with a focus on integrating contemporary architecture into historical urban contexts.

• Analytical Chemistry
• Environmental Chemistry
• Toxicology
• +۵ مورد دیگر

Victor G. Mihucz is an Associate Professor at the Department of Analytical Chemistry, Faculty of Science, Eötvös Loránd University (ELTE). He holds additional titles including Honorary Associate Professor and Doctor of Science (DSc). His research focuses on environmental chemistry, indoor air quality, toxicology, and spectrochemical methods. Key projects include the OFFICAIR initiative studying European office environments and INDAIRPOLLNET, driving collaborative research on indoor pollution. Research interests span heavy metal contamination in water and food, arsenic speciation, and the development of advanced analytical techniques for pollutants. His work addresses public health implications of airborne pollutants in kitchens, offices, and industrial settings. Publications emphasize methodological innovations, such as low-cost sensors and particulate matter monitoring strategies. Laboratory affiliations include the Institute of Chemistry at ELTE. He collaborates internationally, particularly with Italian institutions, as seen in studies comparing Italian and Hungarian restaurant kitchen air quality. His contributions extend to environmental policy through interdisciplinary networks.

Bertalan Forstnerمشاهده پروفایل

دانشیار

• Mobile Robotics
• Swarm Intelligence
• Internet of Things
• +۵ مورد دیگر

Dr. Bertalan Forstner is an Associate Professor and Deputy Head at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics (BME). He co-leads the Applied Mobile Research Group (AMORG) within the Applied Computer Science Group, where his work bridges robotics, IoT, and cognitive infocommunication. Research Interests: Swarm Robotics & Aerial Systems: uniform dispersal algorithms for large fleets of low-cost flying robots, obstacle avoidance, and area-filling with minimal sensing. Internet of Things & Model-Driven Engineering: multi-domain IoT architectures, model-based unification of heterogeneous mobile platforms, and energy-efficient offloading. Cognitive Infocommunication & Educational Technology: adaptive learning environments, biofeedback-driven serious games, and AI-enhanced assessment tools using item-response theory. Distributed & Peer-to-Peer Systems: semantic overlays, mobile P2P protocols, and performance evaluation simulators. Research Impact & Trends: Across more than 50 peer-reviewed works (2005-2025), a clear evolution is visible: early efforts focused on P2P and mobile networking transitioned into swarm-robotics algorithms, which in turn informed IoT and cognitive-systems research. Recent 2025 papers emphasize quantitative service-level analytics, user-behavior classification, and synthetic data generation for cognitive modeling, underscoring a trajectory toward data-driven, AI-enhanced, human-centric systems. Scientific Awards & Recognitions: No specific awards are listed in the provided text. Advising & Funding: While individual PhD students are not named in the source, Dr. Forstner’s long-running research projects in AMORG and sustained publication output imply active supervision and grant support. Details on specific grants or doctoral candidates are not disclosed. Laboratory & Teams: He leads the Applied Mobile Research Group (AMORG) and collaborates closely with the Applied Computer Science Group at BME, maintaining facilities in building Q, room B227 on the Magyar tudósok körút campus.