جست‌وجوی استاد و پژوهشگر

• 5G Network Security
• Telecommunications
• Network Protocols
• +۲ مورد دیگر

Oliver Zeidler is a Researcher at the Chair of Communication Networks at the Technical University of Munich (TUM). He holds a Master of Science in Electrical Engineering and Information Technology from TUM, completed in 2022. His work focuses on the security aspects of 5G core networks, particularly analyzing roaming functionalities and associated network interfaces. Research Focus Zeidler's research explores critical areas in telecommunications security, including 5G core network security Roaming functionality analysis Secure network function virtualization Transport layer security mechanisms His recent publications demonstrate expertise in wireless communication technologies, autonomous system integration, and protocol optimization. Notably, his work on TLS performance in 5G environments and UAV-based localization strategies contributes to advancing secure and efficient next-generation networks. Publications & Projects Zeidler has contributed to publications on 5G security, protocol distillation, and autonomous aerial vehicle applications in wireless networks. His research aligns with TUM's 6G Future Lab Bavaria and DFG-funded initiatives like AI.NET PROTECT and KI.Fabrik. Contact: oliver.zeidler@tum.de

• Computer Networks
• Software-Defined Networking (SDN)
• Network Resilience
• +۷ مورد دیگر

Michael Menth is a Professor at the Department of Computer Science, University of Tübingen, specializing in communication networks. His work bridges theoretical and applied research in network resilience, software-defined networking (SDN), and time-sensitive networking (TSN). University: University of Tübingen Department: Computer Science Research Interests: Network security, P4 programming, multicast protocols, and congestion control. Recent publications focus on advancements in SDN, TSN, and network security. His team has developed tools like P4TG for high-speed traffic generation and SENSOR for flow monitoring. Key projects include BIER-TE for multicast optimization and OIDC² for secure authentication. His research trends emphasize stateless network architectures, machine learning integration for network management, and automotive/E/E system softwarization. Collaborative work spans eHealth platforms like SSTeP-KiZ and security frameworks for industrial networks. Publications from 2022-2025 demonstrate technical depth in P4-based implementations, TSN scheduling, and resilient multicast protocols. While no explicit awards are listed, his extensive RFC contributions (e.g., RFC 5696, RFC 9262) highlight industry-standard impact.

• UAV Networks
• Software-Defined Networks
• Database Scaling
• +۴ مورد دیگر

Faezeh Pasandideh is a Lecturer for Special Tasks in Electrical Engineering at the Hamm-Lippstadt University of Applied Sciences. Her research focuses on UAV networks, software-defined networks, machine learning, autonomous vehicles, IoT, and 5G/6G networks. She is also involved in projects like the B5GCyberTestV2X initiative, addressing cybersecurity testing for V2X systems. Contact: faezeh.pasandideh@hshl.de . Her work emphasizes energy-efficient UAV base station placement, complex arithmetic reasoning for UAVs, and topology management using particle swarm optimization. Recent publications highlight advancements in multi-UAV communication systems and flying ad hoc networks, with contributions to sustainable smart farming via IoT and LPWAN technologies. Key research areas include network optimization, wireless protocols, and healthcare applications of wireless sensor networks. She has explored fuzzy logic for congestion control in medical and underwater sensor networks, demonstrating interdisciplinary expertise. Current projects include the publicly funded B5GCyberTestV2X project, where she leads cybersecurity testing for vehicle-to-everything (V2X) systems. No awards are explicitly listed, but her extensive publication record reflects active research engagement.

Hermann de Meerمشاهده پروفایل

استاد

• Computer Networks
• IT Security
• Smart Grids
• +۷ مورد دیگر

Prof. Hermann de Meer holds the Chair of Computer Networks and Computer Communications at the University of Passau and is an Honorary Professor at University College London. He previously served as a Junior Professor at the University of Hamburg and a Visiting Professor at Columbia University. His research focuses on energy systems digitalization, smart grids, smart cities, and distributed computing. Key projects include STARS (satellite communication for blackouts), cells4.energy (regional energy cells), and META BUILD (digital twins for electrification). Research Interests: His work integrates IT security, cloud computing, and network virtualization to advance the energy transition. He emphasizes interdisciplinary collaboration to address societal and political challenges alongside technical issues. Notable contributions include modeling protection systems in smart grids and analyzing interdependent power-communication networks. Projects: The RENergetic project explores renewable energy hubs, while ESN4NW leverages wind energy for sustainable computing. He has advised doctoral researchers like Dr. Ammar Alyousef (electric vehicle grid challenges) and Abdorasoul Ghasemi (resilience in power systems). Grants & Collaborations: Involved in EU Horizon projects (e.g., EASY-RES, EasyRes) and initiatives like Science Bench. His work intersects ICT design, energy policy, and social acceptance of decentralized energy systems.

• Cybersecurity
• Privacy
• Threat Modeling
• +۵ مورد دیگر

Wouter Joosen is a Professor at KU Leuven (Catholic University of Leuven) in Belgium, with an extensive research career spanning from 1988 to the present. His primary research focuses on cybersecurity, privacy, and secure software engineering, with significant contributions to threat modeling frameworks, particularly LINDDUN. Dr. Joosen's research interests center around privacy-enhancing technologies , security threat modeling , and machine learning applications in cybersecurity . His work bridges theoretical security concepts with practical implementations, focusing on real-world security challenges in cloud computing, authentication systems, and data protection. He has pioneered approaches to automate threat modeling processes and develop robust security mechanisms for modern distributed systems. His publication record shows a clear evolution from traditional software security in the 1990s-2000s to contemporary research on privacy-preserving machine learning, secure infrastructure as code, and advanced authentication systems. A notable trend in his recent work (2021-2025) is the integration of machine learning techniques to enhance security mechanisms while maintaining privacy constraints, particularly in access control systems and threat modeling frameworks. Dr. Joosen has collaborated extensively with researchers across Europe, particularly with Dimitri Van Landuyt, Davy Preuveneers, Danny Hughes, and Bert Lagaisse, indicating strong research group leadership and international collaboration. His research has significant practical applications in GDPR compliance, secure authentication, privacy-preserving technologies, and robust security frameworks for cloud-native applications. His work on OAuth 2.0 security, biometric authentication, and infrastructure security directly addresses current industry challenges in securing modern web applications and services.

• Edge Computing
• Wireless Networks
• Cognitive Radio Systems
• +۳ مورد دیگر

Suzan Bayhan is an academic affiliated with the University of Twente in Enschede, The Netherlands. Her research focuses on edge computing, wireless networks, and cognitive radio systems, with a strong emphasis on energy efficiency and cross-technology communication. She has contributed significantly to the development of strategies for optimizing network performance, resource allocation in edge environments, and interference management in heterogeneous networks. Her work spans theoretical analysis and practical implementations, addressing challenges in cellular networks, federated learning, and smart infrastructure security. Bayhan has collaborated with leading institutions and researchers globally, contributing to conferences like MobiCom and SIGCOMM. Her doctoral studies at Boğaziçi University (Turkey) laid the foundation for her expertise in cognitive radio networks and spectrum management. While her current position isn't explicitly stated, her extensive publication record and academic contributions align with a senior researcher or faculty role. Education: PhD in Electrical and Electronics Engineering, Boğaziçi University, Turkey (2012) Research focus: Spectrum Sharing and Energy Efficiency in Cognitive Radio Networks Research Interests: Edge Computing and Federated Learning Energy-efficient networking strategies Interference mitigation in multi-technology systems Wireless communication protocols Cross-technology communication design Advising & Grants: While specific grants aren't detailed in the provided texts, her involvement in collaborative projects (e.g., EdgeSys, NFDI4DataScience) suggests active participation in funded initiatives. No student advisees are explicitly listed. Labs/Teams: Collaborates with interdisciplinary teams on edge computing and network research, including contributions to platforms like ExEC and Elastic Edge Cloud frameworks.

• Wireless Communications
• Network Optimization
• Quality of Service (QoS)
• +۳ مورد دیگر

Francisco M. Delicado Martínez is an academic researcher specializing in telecommunications, wireless networks, and IoT applications. His work focuses on Quality of Service (QoS) mechanisms, Software Defined Networks (SDN), and blockchain integration in fog computing environments. He has contributed to optimizing resource allocation in OFDMA and IEEE 802.16 networks, and developed IoT-based systems for environmental monitoring (e.g., glyphosate detection, agrochemical spray drifts, and Aedes aegypti surveillance). His recent research emphasizes low-cost IoT ecosystems and blockchain-driven e-government services for public administration and construction management. Research interests span across wireless communications, network optimization, and distributed computing architectures. His publications address challenges in contention resolution, bandwidth request mechanisms, and machine learning integration for disease vector monitoring. Collaborations include projects on fog computing orchestration, SDN-based network enhancements, and multimedia transmission over TDMA/TDD wireless networks. Key contributions include the S-HIDRA architecture (blockchain & SDN for fog computing), DriftGLY and SpectroGLY IoT systems, and the MosquIoT framework for mosquito population monitoring. His work bridges theoretical network protocols with practical applications in agriculture, public health, and smart infrastructure.

• Computer and Communication Networks
• Network Automation and Virtualization
• Software-Defined Networking (SDN)
• +۳ مورد دیگر

May Pyone Han is a PhD student and research assistant at TU Braunschweig's Institute of Computer and Network Engineering, affiliated with the Faculty of Electrical Engineering, Information Technology, and Physics. Her research focuses on advanced networking technologies, including Network Automation, SDN, Wireless Sensor Networks, IoT, and Next Generation Satellite Networks. She holds a BEng in Electronics from Myanmar's University of Technology (2018) and an MEng in Electrical Engineering from Chulalongkorn University (2022), supported by the ASEAN Scholarship (2019). Education: Bachelor of Engineering in Electronics, 2018 – University of Technology (Myanmar) Master of Engineering in Electrical Engineering, 2022 – Chulalongkorn University (Thailand) Her work emphasizes practical implementations of cutting-edge network systems, such as hybrid network emulators for SDN and IoT integration. She received the Best Paper Award at the 2022 ITC-CSCC conference for her research on hybrid network emulation frameworks.

• Wireless Communications
• Telecommunications
• Networking Protocols
• +۳ مورد دیگر

Andreas Timm-Giel is a Professor at the Technische Universität Hamburg (TUHH), affiliated with the Department of Electrical Engineering and Information Technology. His research focuses on telecommunications, wireless networks, and network protocols, with a particular emphasis on aeronautical systems, sensor networks, and quality-of-service (QoS) optimization. He has contributed significantly to infrastructure-less networking, dynamic spectrum access, and avionic communication systems. Education: Not explicitly stated in the provided text. Key research areas include wireless sensor networks, 5G architectures, and network emulation tools like FlowEmu. His work spans theoretical analysis (e.g., queuing theory, combinatorics) and practical implementations (e.g., LTE optimization, seismic data acquisition). Recent articles highlight advancements in end-to-end delay modeling, self-organized TDMA protocols for aeronautical networks, and high-density platooning in vehicular systems. Publications emphasize interdisciplinary approaches, merging networking theory with real-world applications in energy grids, seismic data, and avionics. His contributions bridge academic research and industrial challenges, such as optimizing low-voltage distribution grids and enhancing QoS in critical avionic systems.

• Robotics
• Wireless Communication
• Biomechanics
• +۳ مورد دیگر

Michael W. Shafer is a researcher with significant contributions to interdisciplinary fields including robotics, wireless communication, and biomechanics. His work focuses on autonomous systems, sensor networks, and precision localization. Research Interests: UAV navigation, wildlife tracking, artificial muscles, and minimal-complexity systems. Selected Publications: Four peer-reviewed articles in IEEE Access, Science Robotics, and VTC (2018-2025), exploring technologies like UAV path planning and soft robotics.

• Fractional Calculus
• Control Theory
• Neural Networks
• +۴ مورد دیگر

Dandan Yang is a prolific researcher with publications spanning multiple disciplines including Fractional Calculus , Control Systems , Neural Networks , and Biomedical Engineering . Collaborating extensively with researchers like Chuanzhi Bai, Jianfei Huang, and Zhang Chen, her work appears in journals such as Axioms , IEEE Access , and Communications in Nonlinear Science , as well as conferences like ISCID and CyberC. Research Interests include: Stochastic and fractional differential equations Neural network stability analysis Biomedical signal processing Network dynamics and influence modeling Time-series causal inference Notable collaborations address problems in spacecraft attitude control, biomedical diagnostics, and fractional evolution equations. While no formal academic rank or institutional affiliation is explicitly stated in the provided data, her 15+ peer-reviewed publications since 2007 indicate active faculty-level research contributions.

• Software Defined Networking
• Machine Learning Applications
• Network Security
• +۴ مورد دیگر

Mutaz Hamed Hussien Khairi is an active academic researcher at Universiti Teknologi Malaysia's College of Engineering, Department of Electrical Engineering. His research focuses on the intersection of networking technologies and machine learning applications, with particular expertise in Software Defined Networking (SDN), network security, and wireless communications. He has maintained consistent publication output in reputable journals between 2021-2023. His research interests center on applying machine learning techniques to solve critical networking challenges. Khairi's work spans Software Defined Networking optimization, intrusion detection systems for wireless networks, traffic forecasting, and specialized applications like vehicle classification using radar technology and forest fire detection systems. His research demonstrates a strong practical orientation with clear applications in network security and performance optimization. Analysis of his publication record reveals a clear trajectory focusing on machine learning applications in networking infrastructure. His work shows increasing sophistication in applying neural networks and other ML techniques to solve specific problems in SDN, wireless security, and environmental monitoring systems. The research consistently addresses real-world networking challenges with practical implementations. Khairi collaborates extensively with researchers at Universiti Teknologi Malaysia, particularly with faculty members Sharifah Hafizah Syed Ariffin, Mohamed Khalafalla Hassan, and Mosab Hamdan. His collaborative network extends across multiple research projects focusing on different aspects of network security and performance optimization, indicating active participation in research teams addressing contemporary networking challenges.

Majd Latahمشاهده پروفایل

پژوهشگر

• Security of mission-critical systems
• Software-defined networking
• Decentralized security
• +۳ مورد دیگر

Dr. Majd Latah is a Researcher (Postdoc) at the Department of Informatics, University of Hamburg, working under Prof. Mathias Fischer. His research focuses on cybersecurity for mission-critical systems, software-defined networking (SDN), and blockchain integration in network security. He holds a PhD from Ozyegin University. Key research areas include secure aircraft systems, decentralized security frameworks, and digital twin networks. His work emphasizes blockchain-based authentication protocols (e.g., HostSec, DPSec) and hybrid intrusion detection systems for SDNs. He has collaborated on projects like DTN-Core and CWT-DPA, addressing cross-domain authorization and distributed security challenges. Latah has published extensively on SDN security, blockchain applications, and AI-driven network optimization. His contributions span both theoretical frameworks (e.g., AI-enabled SDN overviews) and practical implementations (e.g., DoS attack detection systems). Affiliations include the Computer Networks research group at UHH, where he contributes to lab activities and team projects. His educational background includes studies at Ozyegin University under Dr. Kübra Kalkan.

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• 5G/6G Networks
• +۷ مورد دیگر

Professor Robert Schober is a distinguished academic at Friedrich-Alexander-Universität Erlangen-Nürnberg, leading the Institute for Digital Communications within the Department of Electrical-Electronic-Communication Engineering. His extensive research portfolio spans wireless communications, reconfigurable intelligent surfaces, 5G/6G networks, molecular communications, and integrated sensing and communication systems. His research interests focus on cutting-edge wireless technologies including Reconfigurable Intelligent Surfaces (RIS), Non-Orthogonal Multiple Access (NOMA), UAV communications, and Simultaneous Wireless Information and Power Transfer (SWIPT). Professor Schober's work bridges theoretical foundations with practical implementations, particularly in next-generation wireless systems. His recent publications demonstrate significant contributions to 6G/B6G wireless communications, with particular emphasis on RIS-assisted systems, movable antenna technologies, integrated sensing and communication, and molecular communication paradigms. His research often explores performance tradeoffs, optimization techniques, and novel system architectures for future wireless networks. Professor Schober has received recognition through numerous high-impact publications in top-tier IEEE journals and conferences, establishing him as a leading researcher in next-generation wireless communications. His work consistently addresses both theoretical challenges and practical implementation considerations. His research group actively collaborates with international partners, as evidenced by the diverse authorship on his publications, and maintains strong connections with both academic and industry stakeholders in the telecommunications field.

• Machine Learning
• IoT Security
• Deep Learning
• +۴ مورد دیگر

Ponnusamy Vijayakumar is a researcher affiliated with SRM University in Kanchipuram, India, within the College of Engineering and Department of Electrical & Computer Engineering . His work spans interdisciplinary domains including Machine Learning , IoT Security , and Deep Learning , with additional expertise in Blockchain , Augmented Reality , and Cyber-Physical Systems . Research Interests : Vijayakumar focuses on applying advanced machine learning techniques to real-world problems such as energy sector optimization , food safety , and medical diagnostics . His recent work explores federated learning for secure IoT environments, predictive analysis using stochastic methods, and computer vision for rehabilitation and security applications. Article Trends : Over the past five years, he has contributed to IoT security through anomaly detection frameworks, augmented reality for plant disease detection, and blockchain for credentialing systems. His publications also address deep learning applications in agricultural quality analysis and medical imaging for musculoskeletal disorders. Collaborations : Vijayakumar has collaborated extensively with experts in Serbia, India, and Germany, particularly with researchers like Nemanja Zdravkovic , Aman Kumar Mishra , and Sowmya Natarajan , across conferences such as BISEC and journals like IEEE Access .