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Roles: Full Professor at Budapest University of Technology and Economics (BME), leading the Laboratory of Cryptography and Systems Security (CrySyS Lab) . Specializes in cyber security, IoT security, and privacy technologies. Served as Associate Editor for IEEE Transactions on Mobile Computing and Elsevier Computer Communications. Education: M.Sc. in Computer Science, BME (1995) Ph.D. in Computer Science, Swiss Federal Institute of Technology Lausanne (EPFL, 2002) Habilitation at BME (2013) Doctor of Science, Hungarian Academy of Sciences (2021) Research Interests: Focuses on malware detection on embedded systems, security of industrial control systems, and privacy-preserving AI. Current projects include DOSS (IoT supply chain security), SECURED (health data security), and SPAM (AI and cybersecurity). Published over 150 papers and co-authored books on wireless network security and cryptographic obfuscation. Grants & Awards: Awarded Dennis Gabor Award (2024), Bolyai Fellowship (2008-2011), and led EU projects like SEVECOM and WSAN4CIP. Current grants include H2020 DOSS and OTKA-funded research on federated learning incentives. Advising: Supervised 13 PhD students, including current faculty members (e.g., András Gazdag, Dorottya Papp). Active in mentoring CTF teams like !SpamAndHex (DEFCON qualifier). Labs & Teams: Director of CrySyS Lab, leading research in embedded device security, vehicle cyber defense, and industrial IoT resilience. Active in EDIH cybersecurity consulting for SMEs.

• Cyber Security
• Networked Embedded Systems
• Internet of Things (IoT) Security
• +7 more

Dr. habil. Simon János PhD is an Associate Professor at the University of Szeged's Faculty of Engineering, Institute of Technology. Born on July 27, 1980, he maintains his office at 6724 Szeged, Moszkvai krt. 9. Room F9, with contact number +36-62-546-575. His educational background includes IT engineering and electrical engineering from Technical College of Subotica (1999-2005), Certified Computer Engineering from University of Novi Sad (2005-2008), PhD in Engineering from University of Osijek (2008-2014), and habilitation from Óbuda University Doctoral School of Security Sciences (2020). English (intermediate, complex) Serbian (advanced, complex) Dr. Simon's research focuses on design and programming of Internet of Things environments, hardware and software development of mobile robots and wireless sensor networks, and analysis of Industry 4.0 case studies. His teaching portfolio includes Computer Modeling, Simulation courses, Microcontrollers, Graphical Programming at BSc level, and Real-time systems, Autonomous and intelligent robots at MSc level. He serves as Associate Editor for Analecta Technica Szegedinensia and is a member of the Higher Education Management Education Methodology Association (FIOM). His international experience includes CEEPUS mobility to Timisoara, Erasmus mobility to multiple Romanian cities, and participation in IoTTech Expo Global in London.

• Internet of Things
• Mobile Robotics
• Wireless Sensor Networks
• +5 more

Dr. Gergely Kocsis serves as an Associate Professor at the University of Debrecen's Faculty of Informatics, Department of Informatics Systems and Networks. His office is located in the Faculty of Informatics building at 4028 Debrecen, Kassai út 26, ground floor, IF13 (Lecturers' room), with contact email kocsis.gergely@inf.unideb.hu and central telephone +36 52 512 900 75013. Dr. Kocsis's research program focuses on: Information spreading phenomena Agent-based and individual-based simulations Cellular automata applications Network structure and dynamics His scholarly output reveals a sophisticated research trajectory evolving from foundational work on cellular automata modeling of social dynamics (2007-2014) to contemporary investigations of transportation networks, VANETs, and AI applications. The 2023-2025 publications demonstrate particular expertise in network extraction methodologies, containerized computing environments, and the application of generative AI to productivity challenges. His work consistently applies computational modeling approaches to understand complex spreading phenomena across diverse network structures. Dr. Kocsis maintains comprehensive scientific profiles across major academic platforms including Google Scholar, ResearchGate, ORCID, Scopus, and Web of Science, demonstrating active participation in the international research community. His departmental colleagues work in complementary areas such as complex networks, embedded systems, and neural networks, suggesting rich collaborative opportunities within the Faculty of Informatics.

• Information spreading
• Agent-based simulations
• Cellular automata
• +1 more

Susan Carin Zimmermann is a University Professor at Central European University, jointly appointed in the Department of Historical Studies and the Department of Gender Studies. She is based in Vienna and plays a leading role in interdisciplinary research on gender, labor, and social history, particularly in Central and Eastern Europe. Her current ERC Advanced Grant project ZARAH (2020–2026) explores transnational women’s labor activism from the age of empires to the late 20th century. Ph.D., Universität Wien (1993) Habilitation, Eötvös Loránd University Budapest (1999) Habilitation, Johannes Kepler Universität Linz (2000) Her research critically examines the intersections of gender, class, and global inequalities in modern history, with a focus on working women, trade unionism, and international labor policy. She investigates how women trade unionists navigated masculinist structures in state-socialist Hungary and engaged with international organizations like the ILO. Her work promotes inclusive, transnational, and gender-sensitive labor historiography. Her recent publications include a major monograph in German (2021) and co-edited volumes such as Through the Prism of Gender and Work (2024) and Women, Work, and Activism (2022). The 15 most recent articles reflect a consistent engagement with gendered labor policies, women’s activism, international labor standards, and the historiography of labor in socialist and imperial contexts, spanning from the Habsburg Empire to post-socialism. Her scientific awards include: ERC Advanced Grant (2020–2025) Käthe Leichter Award (2000) Pro Cultura Hungarica Memorial Award (2005) Fellowships at Wissenschaftskolleg zu Berlin (2002–2003) and re:work, Humboldt-Universität (2016–2017) She has supervised over 20 doctoral students, many of whom have completed dissertations on gender, labor, and social history in Eastern Europe. She holds editorial roles in major journals such as Labor: Studies in Working-Class History and Labour History , and serves on the academic advisory boards of the Leibniz Institute for East and Southeast European Studies and the International Conference of Labour and Social History (ITH), where she was President from 2014 to 2022. She co-edits the CEU Press book series 'Work and Labor: Transdisciplinary Studies for the 21st Century'. Zimmermann leads the ZARAH research project team, which includes scholars across Europe, and collaborates with international research centers such as re:work in Berlin. Her work is embedded in a transnational network of labor and gender historians, and she actively contributes to shaping the future of inclusive labor history through collaborative research, publications, and mentorship.

• Gender Studies
• Labor History
• Women's History
• +14 more

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.

• Cybersecurity
• Agricultural Technology
• Sensor Networks
• +3 more

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.

• Robotics
• Mechatronics
• Control Theory
• +4 more

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.

• Distributed Systems
• Network Coding
• Internet of Things (IoT)
• +12 more

Dmitriy Dunaev is an Associate Professor at the Budapest University of Technology and Economics, affiliated with the Department of Automation and Applied Informatics. His research focuses on hardware security, particularly through Physical Unclonable Functions (PUFs), software obfuscation, and FPGA-based security solutions. Current position: Associate Professor Institution: Budapest University of Technology and Economics Department: Automation and Applied Informatics Research spans cryptographic security enhancement via configurable hardware designs, machine learning vulnerability analysis, and optimization of security protocols in embedded systems. Recent publications investigate temperature sensitivity, bit configuration in PUFs, and FPGA implementation challenges. Contact: dunaev@aut.bme.hu

• Hardware Security
• Physical Unclonable Functions (PUFs)
• Software Obfuscation
• +3 more

Husam Al-Magsoosi is an Assistant Research Fellow at the Budapest University of Technology and Economics , affiliated with the College of Engineering and the Department of Automation and Applied Informatics . His work focuses on hardware security, particularly in the development and analysis of Physical Unclonable Functions (PUFs) . Research Interests : Hardware Security, PUFs, FPGA Design, Machine Learning in Security, Embedded Systems, Wireless Sensor Networks. His recent publications highlight advancements in configurable ring oscillator PUFs, addressing security, performance optimization, and environmental factors like temperature sensitivity. He explores FPGA-based implementations and evaluates vulnerabilities to machine learning attacks. His work also extends to energy-efficient routing protocols for sensor networks and embedded system design. Scientific Awards : No specific awards mentioned in the provided data.

• Hardware Security
• Physical Unclonable Functions (PUFs)
• Machine Learning in Security
• +4 more

Ildikó Papp is an Associate Professor at the Faculty of Informatics, University of Debrecen , specializing in the Department of Data Science and Visualization . Her academic focus spans geometric modeling , 3D technologies , and experience-oriented teaching methods , bridging theoretical geometry with practical digital applications. Research Interests: Computer modeling of curves and surfaces Constructive and representational geometry 3D printing and visualization Cognitive infocommunication in education Publication Trends: Focus on QR code integration with 3D surfaces (2021-2022) Biomedical applications of FDM printing (2020) Educational impact of 3D technologies (2016-2018) Advancements in Bézier curve isoptics (2012-2013) Optimization techniques in geometric modeling (2012) Contact: Email: papp.ildiko@inf.unideb.hu

• Computer modeling of curves and surfaces
• Constructive and representational geometry
• 3D technologies
• +3 more

Péter Szalay is a Lecturer at the Department of Physical Chemistry , Eötvös Loránd University , and a member of the Hungarian Academy of Sciences . His work spans theoretical and computational chemistry, focusing on excited states, electron transport, and quantum chemical methods. University: Eötvös Loránd University Department: Department of Physical Chemistry Email: szalay@chem.elte.hu Research Interests : Szalay’s research emphasizes quantum chemistry and ab initio methods , particularly in modeling excited state phenomena , spin-orbit couplings , and vibronic effects in molecular systems. He contributes to program packages like COLUMBUS and CFOUR . Article Trends : Recent publications highlight excited state charge transfer , electron transport in single-molecule junctions , and methodological advancements in coupled-cluster and density functional embedding techniques. Scientific Awards : Szalay is recognized as a Doctor of the Hungarian Academy of Sciences , a prestigious title reflecting his contributions to theoretical chemistry. Advising and Collaborations : While no formal students are listed, Szalay collaborates extensively on quantum chemical methodologies and software development. Labs and Teams : Szalay is affiliated with the COLUMBUS program package and CFOUR teams, which are central to his computational chemistry research.

• Quantum Chemistry
• Computational Chemistry
• Molecular Electronic Structure
• +10 more

Márton Pósfai is an Assistant Professor at the Central European University (CEU), specializing in network science and statistical physics. His research focuses on the structural and dynamic properties of complex networks, particularly physical networks, their controllability, and interdependencies. He holds a PhD and MSc in Physics from Eötvös Loránd University, Budapest. His work explores interdisciplinary topics including the impact of physical constraints on network topology, resilience under damage, and social behavior in non-human primates. Notable projects include the DYNASNET initiative to understand and utilize network structures. Pósfai’s publications span theoretical models of network dismantling, multiplex centrality metrics, and algorithmic instabilities in ranking systems. Key research trends in his articles include analyzing physical network structures (e.g., 3D shape, bundling effects), controllability strategies (input node placement, longest control chains), and social dynamics influenced by resource access. His studies often bridge abstract network theory with empirical systems like primate societies and Bitcoin transaction networks. Advising and grants are not explicitly detailed in the provided materials. Pósfai maintains a lab or team focused on network science applications, though specific lab names are unspecified.

• Network Science
• Statistical Physics
• Complex Systems
• +6 more

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.

• Artificial Intelligence
• Computer Science
• Civil Engineering
• +5 more

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.

• Sensor Networks
• Localization Systems
• Signal Processing
• +3 more

Péter Lévay is an Associate Professor at the Department of Theoretical Physics, Faculty of Natural Sciences, Budapest University of Technology and Economics. He is a member of the MTA-BME Condensed Matter Research Group, focusing on mathematical physics, quantum information, and geometric methods in theoretical physics. His research spans geometric phases, quantum entanglement, black hole solutions in string theory, and finite geometric applications to quantum systems. He has developed algebraic models for scattering theory and explored connections between quantum computing and black hole entropy. Key Research Trends: Quantum entanglement geometry in fermionic and qubit systems Finite geometric models of spacetime and black holes Holographic principles in entanglement entropy Cluster algebraic structures in quantum gravity Exceptional symmetries (E8) in quantum coding Geometric phases in chaotic and scattering systems He has authored significant publications in journals like Physical Review A/D , Classical and Quantum Gravity , and Journal of Mathematical Physics , with a focus on mathematical rigor and interdisciplinary insights.

• Mathematical Physics
• Quantum Information Theory
• Geometric Phases
• +5 more