Find Academic Supervisors

• Network Routing
• Segment Routing
• Software Defined Networking
• +6 more

Marco Polverini is an active computer networking researcher with a prolific publication record spanning over a decade, with 59 publications documented from 2012 to 2025. His work primarily focuses on advanced networking technologies including Segment Routing, Software Defined Networking, and Network Function Virtualization. His research interests center around network routing optimization, traffic engineering, and network monitoring. He has made significant contributions to Segment Routing technology, developing novel behaviors for low-latency communication, black hole detection mechanisms, and traffic matrix assessment techniques. His recent work integrates artificial intelligence approaches, particularly reinforcement learning, with traditional networking protocols to create more adaptive and efficient network systems. He has also been exploring the application of Digital Twin technology for network management and optimization. Analysis of his publication trends shows a clear evolution from foundational work on energy-efficient networking and traffic engineering to more recent innovations in Segment Routing, in-band network telemetry, and AI-driven network optimization. His publications consistently appear in top networking venues including IEEE JSAC, IEEE Transactions on Network and Service Management, INFOCOM, and NOMS, demonstrating his standing within the networking research community. Throughout his career, Polverini has maintained strong collaborative relationships, particularly with Antonio Cianfrani (54 joint publications), Marco Listanti (33 publications), and Francesco Giacinto Lavacca (16 publications), suggesting he works within a well-established research group focused on next-generation networking technologies.

Georg CarleView profile

Professor

• Internet Technology
• Future Internet Architecture
• Network Security
• +3 more

Prof. Georg Carle is a full Professor in Network Architectures and Network Services at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He leads research in Internet technology, focusing on future network architectures, security, and real-time communication. Prior roles include positions at the University of Tübingen and Fraunhofer Institute for Open Communication Systems (FOKUS). Education: Electrical Engineering diploma from University of Stuttgart (1992), Master of Science in Digital Systems (Brunel University, London), and PhD in Telematics from University of Karlsruhe (1996). He held scholarships in complex systems and European Union-funded research at Institut Eurécom. Research Interests: Prof. Carle's work spans network security, sensor networks, autonomous systems, and future Internet protocols. His group develops tools like MoonGen (packet generator) and pos (experiment workflow system). Recent focus includes QUIC protocol analysis, network slicing, and reproducible experimentation frameworks. Key Contributions: Award-winning research includes Applied Networking Research Prizes (2017-2018), Best Paper Awards in IMC/PAM, and innovations in network measurement, security, and programmable data planes. His lab explores cutting-edge topics like post-quantum cryptography, low-latency networking, and 6G automation. Recognition: Honors include ACM SIGCOMM Community Contribution Award, IRTF ANRP, and multiple conference best paper accolades. He advises on network infrastructure for industrial IoT, automotive systems, and secure multiparty computation.

• Wireless Communications
• Information Theory
• Physical Layer Security
• +7 more

Eduard A. Jorswieck is a University Professor of Communication Systems at the Institute of Communications Engineering , Technical University of Braunschweig, since 2019. He has previously held a professorship at TU Dresden (2008–2019) and has been a lecturer at TU Berlin (2005–2008). Currently, he serves as the Geschäftsführender Leiter (Managing Director) of the Institute of Communications Engineering. Education: Dipl.-Ing. in Computer Engineering (2000), Doctorate (2004) from TU Berlin. Research Interests: His work bridges information theory and wireless communications, focusing on physical layer security , energy efficiency , reconfigurable intelligent surfaces (RIS) , NOMA , MIMO systems , and machine learning for network optimization . He explores stochastic orders, game theory, and fractional programming for resource allocation in 5G/6G networks. Publications & Trends: Recent articles emphasize RIS-aided URLLC , STAR-RIS , 6G security , and AI-driven resource management . His studies span multi-antenna systems , terahertz ISAC , and multi-agent reinforcement learning for UAV networks. Awards: IEEE Signal Processing Society Best Paper Award (2006) IEEE Fellow (2020) Fellow of Industry Academy (AIIA, 2024) Best Paper Award at IEEE ICC 2024 Students & Collaborations: He has mentored researchers like K.-L. Besser, P.-H. Lin, and M. Mross. His lab collaborates on projects involving quantum communication , industrial IoT , and multi-agent systems .

Frank KarglView profile

Professor

• Network Security
• Vehicular Ad-Hoc Networks
• Embedded Systems Security
• +5 more

Prof. Frank Kargl is a full professor and director of the Institute for Distributed Systems at the University of Ulm. He holds a PhD (2003) and habilitation (2009) from Ulm University. Previously, he was an Associate Professor at the University of Twente (Netherlands, 2009–2012) and later an adjunct professor. He has served as vice dean (2013–2016) and dean (2016–2018) of the Faculty of Engineering, Computer Science, and Psychology. His research focuses on network security, vehicular ad-hoc networks, embedded systems, and blockchain privacy. He is a member of ACM, IEEE, and GI. Research interests include mobile/self-organizing networks (e.g., VANETs), security/privacy in IT systems, secure cloud computing, and crypto-currencies. Key projects intersect vehicular networks with privacy/security, embedded system security, and distributed computing frameworks. Publications span network security, zero-trust architectures, automotive cybersecurity, and privacy-preserving systems. Notable contributions include VeReMi datasets for VANET misbehavior detection and frameworks like ZTSFC for secure service chaining. Prof. Kargl chairs the GUC committee at Ulm University and serves on the KIZ committee. His work bridges academic research with real-world applications in automotive systems, IoT, and decentralized technologies.

• Computer Networks
• Telecommunications
• Cloud Computing
• +7 more

Raouf Boutaba is a Professor at the University of Waterloo, Canada, with a focus on networking and telecommunications research. His work spans computer networks, cloud computing, network security, and software-defined networking (SDN). He has contributed to advancements in 5G/6G networks, network slicing, energy-efficient architectures, and machine learning applications in networking. His research addresses challenges in network monitoring, resilient communication systems, and optimizing network performance through reinforcement learning and intelligent algorithms. He collaborates extensively with researchers globally, publishing in top-tier journals and conferences such as IEEE Transactions on Networking and NOMS. Boutaba’s work often bridges theoretical contributions with practical implementations, emphasizing real-world applicability in telecommunications and distributed systems. His recent focus includes open RAN architectures, edge computing, and securing encrypted traffic in evolving network environments.

• Edge Computing
• 5G Networks
• Serverless Applications
• +4 more

Dr. Balázs Sonkoly is a researcher specializing in edge computing, serverless applications, and 5G network optimization. His work focuses on latency-sensitive systems, multi-user augmented reality coordination, and cloud-native microservice management across distributed architectures. Key research themes include network function virtualization (NFV), software-defined networking (SDN), and programmable packet-optical networks Recent publications analyze AI-driven autoscaling, P4-assisted serverless migration, and multi-domain service orchestration Article trends reveal expertise in mixed reality frameworks, federated learning for vehicular networks, and edge-cloud convergence. His collaborations span institutions like IEEE, SIGCOMM, and the UNIFY project. Contributions to conferences like NOMS, ISMAR, and GLOBECOM highlight practical implementations of edge cloud platforms, SLAM integration, and latency-constrained resource allocation.

Rahamatullah KhondokerView profile

Professor

• Cybersecurity
• Digitalization
• Automotive Security
• +11 more

Prof. Dr.-Ing. Rahamatullah Khondoker is a Professor of Business Information Systems with a focus on IT Security and Digitalization at THM University of Applied Sciences . He leads the CYSECDIGITAL research group, specializing in cybersecurity solutions for digitalization, autonomous mobility, and smart systems. PhD candidates under his supervision include Adnan Kujovic, Kumar Saurabh, Md. Zahirul Islam, and Khandaker Mohammad Mohiuddin. Projects funded by Erasmus+, DAAD, and THM Strategic Fund include ZDayIIoTSec and CyModeB . He has collaborated with institutions like IIT Delhi, BUET, and IIIT Allahabad, and signed MOUs with universities in Bangladesh, India, and Thailand. Research Focus : His work bridges Cybersecurity and Digitalization , with key contributions in SDN/NFV security, automotive cybersecurity (ISO/SAE 21434), IIoT, and AI-driven threat modeling frameworks like STRIDE and TMAP. Recent Publications highlight trends in automotive cybersecurity , IoT security audits , zero-day exploit detection , and AI applications for intrusion detection . His research spans threat intelligence integration, blockchain for supply chains, and machine learning in precision agriculture. Scientific Contributions : Nominated for best paper awards at AINTEC 2014 and IEEE NetSoft 2016. Co-authored foundational works on SDN/NFV security (Springer, 2018) and Industrie 4.0 security (Springer, 2017). Industry Collaboration : Partnerships with Continental, ANSYS, DRASS, and others in automotive, IIoT, and cybersecurity domains. He also leads the Automotive Cybersecurity Academy and advises on digitalization policy.

• Networking
• Edge Computing
• 5G/6G Technologies
• +5 more

Dr. Giang T. Nguyen is an academic researcher affiliated with Dresden University of Technology (Germany), specializing in advanced networking technologies. His primary affiliation is with the College of Computer Science and the Department of Networking and Communication Systems. He collaborates extensively with Prof. Frank H. P. Fitzek and other researchers on cutting-edge projects. Research Interests: Giang's work focuses on Network Functions Virtualization (NFV) , Edge Computing , Time-Sensitive Networking (TSN) , 5G/6G Technologies , and In-Network Computing (COIN) . He explores applications in industrial automation, tactile internet, and immersive media delivery, with a strong emphasis on latency reduction and network reliability. Publications: His recent work includes advancements in programmable network coding, TSN testbed development, and latency-optimized architectures for XR and IoT systems. Over 100+ publications since 2013 reflect his contributions to edge computing frameworks, network simulation tools (e.g., ns-3, OMNeT++), and collaborative SLAM systems. Key Projects: He leads initiatives like the TSN-FlexTest measurement testbed and the NET Playground heterogeneous network lab. His research bridges theoretical networking concepts with practical implementations in industrial robotics and emergency response systems.

• Distributed Systems
• Middleware
• Network Protocols
• +5 more

Laurent Réveillère is a researcher affiliated with the University of Bordeaux, focusing on distributed systems, blockchain technologies, and middleware. His work explores fault tolerance, secure communication, and protocol design, with significant contributions to peer sampling, network virtualization, and hardware-assisted security mechanisms.

• Computer Networks
• Optical Networking
• Software-Defined Networking (SDN)
• +3 more

Malathi Veeraraghavan is a Professor in the Department of Computer Science at the University of Virginia . Her research focuses on Computer Networks , Optical Networking , Software-Defined Networking (SDN) , and Data Transfer Protocols , with applications in Grid Computing and High-Performance Computing . Recent work includes the PORTFILER system for malware detection via network profiling, SnF scheduling for inter-datacenter optical networks, and reliable multicast protocols over multi-domain SDNs. She has contributed to congestion control frameworks and network function virtualization surveys. Key collaborations span institutions like the University of Virginia, Universiti Teknologi Malaysia, and Bell Labs. Her publications appear in journals such as IEEE Transactions on Cloud Computing and conferences like GLOBECOM and INFOCOM .

Nicholas RaceView profile

Professor

• Software Defined Networking
• Network Functions Virtualisation
• Network Security
• +7 more

Nicholas Race is Professor of Networked Systems at Lancaster University's School of Computing and Communications, where he also serves as Associate Dean for Research in the Faculty of Science & Technology. His academic career at Lancaster spans from Research Assistant (2000-2001) to his current position as Professor (2017-present). His research focuses on developing future networking services built upon Software Defined Networks and Network Functions Virtualisation. Key areas include: Software Defined Networking for security applications and intrusion detection Network Functions Virtualisation for new networking services Quality of Experience enhancement for media streaming Network anomaly detection and remediation Wireless Mesh Networks security Professor Race leads NG-CDI, an EPSRC/BT funded Prosperity Partnership developing autonomic networks. He has been principal investigator for numerous significant projects including AI4ME (EPSRC/BBC funded), MANY, 5GRIT, INITIATE, MPAT, and several EU projects (FI-CONTENT2, STEER, GN3plus, Fed4FIRE, OFELIA, P2P-Next). His research output demonstrates a strong focus on applying SDN and NFV technologies to solve real-world networking challenges, particularly in security and media distribution. The TENNISON framework represents a significant contribution to scalable network security through distributed SDN approaches. He serves on the editorial board of Computer Communications and has held leadership roles in major conferences including as Programme Co-Chair of DE2013: Open Digital and PC Member for ACM Multimedia and Multimedia Systems (MMSys). Professor Race teaches SCC365: Advanced Networking and supervises 9 postgraduate research students working on various aspects of networked systems.

• Data Center Networks
• Autonomous Network Management
• Machine Learning Applications in Networking
• +3 more

Kaan Aykurt is a Researcher at the Department of Communication Networks within the College of Engineering at Technical University of Munich (TUM) , where he works under the supervision of Prof. Wolfgang Kellerer. He joined TUM in May 2022 after completing his M.Sc. and holds dual B.Sc. degrees in Electrical and Electronics Engineering and Economics from Koç University, Istanbul. B.Sc. Electrical & Electronics Engineering (Koç University, 2019) B.Arts Economics (Koç University, 2019) M.Sc. Technical University of Munich (2022) Kaan's research focuses on data center networks , multi-domain autonomous network management , and machine learning applications in communication networks . His work explores graph neural networks (GNNs) for network optimization, large language model benchmarks for network configuration, and TCP behavior in reconfigurable environments. Key projects include netLLMBench, HyPA autoscaling, and digital twin systems. Recent publications span GNN-based management for 6G networks (2023), TCP performance in dynamic data centers (2023), and ML framework traffic analysis (2021). His work often intersects AI-driven networking , automated resource allocation , and network protocol evaluation . Collaborations include researchers from Northeastern University and University of Augsburg. As a research associate, Kaan contributes to the Chair of Communication Networks 's initiatives in autonomous systems and network intelligence. His work aligns with broader projects like 6G Future Lab Bavaria and DFG-funded research at TUM.

• Wireless Networks
• Machine Learning
• 6G Communication
• +4 more

Zhu Han is a Professor at the University of Houston, TX, USA, with a PhD from the University of Maryland, College Park. He is affiliated with the Chinese Academy of Sciences' Aerospace Information Research Institute in Beijing, China. His research spans wireless networks, 6G communication, and machine learning applications in telecommunications. Key areas: Semantic communication, UAV networks, IoT security, quantum networking. Recent publications focus on federated learning, optical IRS for VLC, and resource allocation in LEO satellite systems. His work integrates AI with network security and edge computing. He collaborates extensively on topics like reconfigurable intelligent surfaces, quantum-assisted optimization, and privacy-preserving protocols. No specific awards or student details are provided in the dataset.

• Wireless Communications
• Telecommunications
• Networking Protocols
• +3 more

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.

• Cloud Computing
• Distributed Systems
• Cybersecurity
• +3 more

Ramin Yahyapour is a researcher affiliated with the University of Göttingen and GWDG (Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen). His work focuses on cloud computing, distributed systems, cybersecurity, and high-performance computing. Key research areas include virtual machine migration optimization, data center energy efficiency, federated identity management, and parallel computing frameworks. He has collaborated extensively with institutions like the University of Göttingen and researchers such as Philipp Wieder, Faraz Fatemi Moghaddam, and Andrei Tchernykh. Research Interests: Cloud resource optimization Cybersecurity for distributed systems Workflow management in data-intensive environments Network function virtualization Machine learning for system scheduling Identity and access management Publications span topics like VM placement algorithms, data center power reduction, and federated identity systems, demonstrating expertise in both theoretical and applied computer science. His work often bridges academia and industry, addressing real-world challenges in cloud infrastructure and digital systems.