Find Academic Supervisors

Jonas PeeckView profile

Researcher

• Real-time Communication
• Safety-critical Systems
• Autonomous Systems
• +5 more

Dr. Jonas Peeck is a researcher at the Institute of Computer and Network Engineering (IDA), Braunschweig University of Technology. He teaches courses such as Introduction to Electronic Systems and Technische Informatik II for Bachelor students. His research focuses on time-critical communication processing of large data objects in safety-critical systems, with applications to autonomous systems, industrial automation, and robotics. Education PhD (Dr.-Ing.) in Computer and Network Engineering, TU Braunschweig, 2023 M.Sc. in Computer Science, TU Braunschweig, 2018 B.Sc. in Computer Science, TU Braunschweig, 2015 Jonas Peeck’s work examines sensor-to-actuator chains, prioritizing wireless communication reliability under resource constraints. His publications address real-time Ethernet protocols (TSN), CNN acceleration on multi-core processors, and error-resilient V2X data transmission. Key trends include data-centric communication, synchronization mechanisms, and resource-efficient middleware for autonomous systems. His research has been published in journals like ACM Transactions on Embedded Computing Systems and IEEE Transactions on Vehicular Technology , alongside conference papers at IEEE COMPSAC, RTSS, and IECON. Jonas Peeck’s work bridges theoretical analysis with practical implementations in mobility and industrial automation contexts.

• Software Engineering
• Model-Based Systems Engineering
• Formal Methods
• +5 more

Victor Bandur is an Adjunct Assistant Professor at the Department of Computing and Software within McMaster University's Faculty of Engineering. His work bridges formal methods, software engineering, and automotive systems, focusing on model-based design, cyber-physical systems, and embedded security. Research Interests: Model-Based Systems Engineering Formal Methods Automotive E/E Architectures Cyber-Physical Systems State Learning for Vulnerability Detection Assurance Cases for Safety-Critical Systems Publication Trends: His recent work (2024–2019) emphasizes centralized automotive architectures, formal verification techniques, and state learning applications in tool-assisted vulnerability detection, often leveraging standards like TSN networks and methodologies such as EMF and VDM-RT.

Neil DiazView profile

Assistant Professor

• Industrial Engineering
• Systems Engineering
• Electrical Engineering
• +3 more

Neil Diaz is an Assistant Professor in the Industrial & Systems Engineering department at Texas A&M University . His academic work focuses on communication systems, network protocols, and reconfigurable computing. Educational Background : Ph.D. in Industrial Engineering (Texas A&M, 2023), MBA (University of the Andes, 2013), M.Sc. in Information Sciences and Communications (Francisco José de Caldas District University, 2009), B.Sc. in Electrical Engineering (University of the North, 2003) Diaz's research investigates Time-Sensitive Networking (TSN) and IEEE 802.11b modem architectures , addressing challenges in network latency and wireless communication systems. His work spans industrial engineering applications in communication protocols and FPGA implementations. His publications demonstrate expertise in network protocols (e.g., TSN latency analysis) and reconfigurable computing (e.g., wireless modem design).

• Computer Networks
• Software-Defined Networking (SDN)
• Network Resilience
• +7 more

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.

Ralf TönjesView profile

Professor

• Mobile Communication Networks
• Internet of Things (IoT)
• Data Security
• +4 more

Ralf Tönjes is a Professor of Mobile Communications and Project Management at Osnabrück University of Applied Sciences , leading the Mobile Communications Working Group . His affiliation is under the Faculty of Engineering and Computer Science . Previously, he held roles at Ericsson Corporate Research and earned a doctorate summa cum laude in Electrical Engineering from the University of Hanover (1998). He holds dual degrees: a Dipl.-Ing. in Electrical Engineering/Communications (University of Hanover, 1989) and an M.Phil. in Biomedical Engineering (University of Strathclyde, Glasgow, 1990). Research Focus: Mobile communication networks, IoT applications in Industry 4.0/smart cities, data security, and service platforms. Key areas include 5G networks, network synchronization, and secure IoT device configurations. He chairs conferences like the VDE/ITG Mobile Communications Conference (since 2005) and contributes to standardization bodies such as the ITG Technical Committee 5.2. Patents & Innovation: Holds patents on cellular radio network design, multicast transmission protocols, and IoT broadcast systems. Notable projects include OPeRAte (IoT-based cooperative farming) and CityPulse (smart city data analytics). Awards & Leadership: Recognized for his doctoral achievement and as a founding member of the Lower Saxony Data Protection Center (NDZ) . Active in industry partnerships, including the Agricultural Industry Electronics Foundation (AEF) and the iuk Business Network Osnabrück . Teaching: Offers courses on mobile communications, IoT, telematics, and project management across B.Sc./M.Sc. programs in Electrical Engineering and Computer Science. Future Work: Focused on advancing 5G/6G networks, secure IoT deployments, and resilient agricultural process management using BPMN and blockchain technologies.

Jun HongView profile

Lecturer

• Network Engineering
• Computer Science
• Machine Learning
• +3 more

Jun Hong is a Lecturer in the Department of Mathematics at the University of Colorado at Boulder. His research focuses on time-sensitive networking (TSN), reinforcement learning applications, optimization algorithms, and vehicular ad hoc networks (VANET). He holds a B.A. in Mathematics from UC Berkeley (2013) and an M.A. in Mathematics from CU Boulder (2018). His work emphasizes fault-tolerant routing strategies, metaheuristic scheduling algorithms, and real-time communication protocols for critical infrastructure. Recent research includes co-optimization frameworks for heterogeneous networks and reinforcement learning-based routing for TSN environments. Articles highlight trends in VANET optimization and TSN protocol design. No scientific awards are listed. Advising and grants details are not provided in the text. His personal website provides additional academic resources.

Cornelia BrülhartView profile

Researcher

• Time-Sensitive Networking
• Cybersecurity in Networks
• Distributed Systems
• +3 more

Cornelia Brülhart is a Research Associate and PhD Student in the Computer Networks (NET) group at the University of Hamburg since 2023. She holds an M.Sc. in Computer Science from the University of Hamburg (2019). Previously, she worked as a System Engineer at the Centre of Applied Aeronautical Research (ZAL), focusing on distributed systems and communication protocols in aviation. Her research emphasizes zero-trust security models, resilient mission-critical networks, and anomaly detection in time-sensitive domains. She contributes to projects like RESISTANT, enhancing Ethernet standards for embedded systems. Her research interests include Time-Sensitive Communication (especially avionics applications), dynamically configurable networks, and embedded processing platforms. She has collaborated on the DELIA project integrating TSN, FPGAs, and fiber optics. Her work addresses security challenges in critical infrastructure networks. Publications highlight advancements in TSN security, resilient mission-critical systems, and P4-based network solutions. Her projects bridge academic research with industrial applications, particularly in aviation and embedded systems.

Stéphan PLASSARTView profile

Associate Professor

• Energy Optimization
• Network Calculus for Time-Sensitive Networks (TSN)
• Markov Decision Processes
• +4 more

Stéphan PLASSART is an Associate Professor in Computer Science at Savoie Mont Blanc University, affiliated with the LISTIC laboratory. His research focuses on energy optimization in real-time systems, network calculus for Time-Sensitive Networks (TSN), and Markov Decision Processes. He holds a PhD from Université Grenoble Alpes (2019), where his thesis on online energy optimization for real-time systems was conducted under Professors Bruno Gaujal and Alain Girault. Previously, he completed a postdoc at EPFL under Prof. Jean-Yves Le Boudec. He currently co-supervises a PhD student exploring energy-aware distributed machine learning platforms. Key contributions include algorithmic advancements for energy-efficient scheduling, tool development (e.g., Saihu for TSN analysis), and theoretical work on flow analysis. He actively participates in academic organizations, serving as Web Chair for the 2022 Workshop on Network Calculus (WoNeCa-6). His work bridges theoretical computer science with practical applications in embedded systems and distributed computing.

Jobish JohnView profile

Researcher

• Quality of Service Engineering
• Industry 4.0
• Time-Sensitive Networking
• +5 more

Jobish John is a Researcher contributing to projects such as LiT: Aviation in Transition (2023-2026) focusing on wireless avionics, and ADENEAS: Advanced Data and Power Electrical Network Architectures (2021-2024). His work addresses modern networking challenges in industrial and aviation contexts. Research interests include: Network Engineering : Quality of Service, Time-Sensitive Networking (TSN), and Beyond-5G reliability. Industrial Applications : Industry 4.0 frameworks, smart manufacturing networks, and avionics communication systems. Wireless Technologies : Radio link optimization, IEEE 802.15.4 TSCH, and low-latency solutions. Publications emphasize industrial networks and aviation technology, with articles in IEEE conferences and Future Internet journal. Notable trends: integration of TSN/5G for manufacturing, avionics wireless standards, and QoS modeling for critical networks. No awards, students, or lab affiliations are documented in available sources.

Tianyu ZhangView profile

Assistant Professor

• Real-Time Cyber-Physical Systems
• Industrial Internet-of-Things (IIoT)
• Time-Sensitive Networking (TSN)
• +7 more

Tianyu Zhang is an Assistant Professor in the Department of Computer Science at The University of Iowa, within the College of Liberal Arts and Sciences. His research focuses on real-time cyber-physical systems (CPS), particularly industrial internet-of-things (IIoT), 5G/6G networks, and time-sensitive networking (TSN), aiming to achieve deterministic, reliable, and secure system behavior. His research interests include real-time scheduling, resource management, wireless sensor-actuator networks, and industrial automation. He develops frameworks for resource allocation, packet scheduling, and timing guarantees in dynamic and lossy environments, with applications in autonomous vehicles, avionics, and industrial control systems. His recent publications, spanning top venues like RTAS, RTSS, DAC, and IEEE TMC, reflect a consistent focus on real-time networking, TSN, and 5G URLLC. Key themes include deterministic scheduling, reliability under disturbances, and coexistence of traffic types in industrial networks. TPC Member, IEEE RTAS (2023–2025) TPC Member, IEEE RTCSA (2021–2024) Registration Chair, CPS-IoT Week (2023) Artifact Evaluation Chair, RTAS (2023) Web Chair, RTAS (2021–2022) Dr. Zhang actively mentors students and is recruiting Master’s and PhD candidates interested in CPS and real-time systems. He has served as a reviewer for leading journals including IEEE TMC, TCAD, TECS, and TII. While no formal lab name is mentioned, his research group focuses on real-time wireless and industrial networking systems.

• Wireless Communication
• Software-Defined Radio
• 5G
• +9 more

Xianjun Jiao is a Researcher at the Department of Information Technology within the Faculty of Engineering and Architecture at Ghent University . His work focuses on wireless communication systems, particularly in the domains of Software-Defined Radio (SDR) , Wi-Fi , 5G , Radio Virtualization , and Network Densification . As a PhD supervisor, he has guided doctoral researchers including Felipe Augusto Pereira de Figueiredo Thijs Havinga Muhammad Aslam Baiheng Chen Robbe Gaeremynck on topics such as Next-Generation Wi-Fi Chip Design , Cell-Free Massive MIMO , and Hardware-Efficient Wireless Systems . His recent publications (2025) explore advanced Wi-Fi architectures, including OFDMA-based interference mitigation , joint transmission systems , and machine learning for handover optimization . Earlier works (2020-2024) address hardware efficiency in transceivers , time-sensitive networking , and NOMA schemes for concurrent transmission .

Kouros ZanbouriView profile

Researcher

• Cloud Computing
• Fog Computing
• Internet of Things
• +2 more

Kouros Zanbouri is a CONNECT PhD researcher at University College Cork , supervised by Prof. Dirk Pesch and Prof. Cormac Sreenan. Education : BSc in Information Technology (IT) engineering (2016) MSc in IT engineering – specialization in Computer Networks (2018) Research Interests : Wireless Time-Sensitive Networking (TSN) Cloud and Fog Computing Internet of Things (IoT) Engineering Optimization Metaheuristics Research Trends : His recent publications focus on integrating TSN with 5G for industrial settings, optimizing blockchain-based IoT systems using bio-inspired algorithms, and designing energy-efficient IoT solutions for industrial applications. His work spans theoretical modeling, algorithm development, and real-world implementation in smart cities and dependable networks. Academic Contributions : Guest reviewer for multiple journals Active in interdisciplinary research combining IoT, optimization algorithms, and network engineering

• Control Theory
• Embedded Systems
• Distributed Systems
• +6 more

Alessandro Vittorio Papadopoulos is a Professor of Electrical and Computer Engineering at Mälardalen University (MDU) and a QUALIFICA Fellow at the University of Málaga's Institute for Software Technology and Software Engineering. His research focuses on modeling and control of interconnected systems under uncertainty, integrating Control Theory with Embedded Systems , Distributed Systems , and Real-Time Systems . He has served as a Scientific Advisor for companies like ABB and Zero Point Technologies. Education: PhD from Politecnico di Milano (2013), supervised by Alberto Leva; Postdoctoral work at Politecnico di Milano and Lund University's Department of Automatic Control under Karl-Erik Årzén. Research Trends: His articles emphasize Swarm Robotics , Stochastic Scheduling , Privacy-Preserving Control , and Edge-Cloud Continuum . Key subfields include Distributed Control , Uncertainty Modeling , Real-Time Optimization , and Secure Communication . Awards: He received the Most Influential Paper Award at SEAMS 2025, QUALIFICA Fellowship , and Outstanding Paper Award at ECRTS 2021, alongside a Best Artefact Award in 2017. Advising: Supervised PhD theses by Anna Friebe and Daniel Bujosa Mateu. Labs & Collaborations: Affiliated with the Lund Center for Control of Complex Engineering Systems (LCCC) and MDU's research groups.

Fabrice FrancèsView profile

Professor

• Embedded Networks
• Avionics Networks
• Network Calculus
• +4 more

Fabrice Francès is a Professor at the French Civil Aviation University (ENAC) in the Department of Design and Analysis of Critical Systems (DISC). He serves as both a teacher and researcher, contributing significantly to the fields of embedded networks and avionics systems. His research focuses on performance analysis of on-board avionics networks for civil, military and space sectors, with particular expertise in AFDX, Network Calculus, and SpaceWire technologies. Professor Francès has developed innovative approaches for timing analysis, network scheduling, and reliability optimization in safety-critical communication systems. His recent publications (2021-2023) demonstrate continued research productivity, with work on Priority Switching Scheduler, RELIABLE frame replication/elimination techniques, and FactoRing asynchronous TSN-compliant networks. These publications reflect his evolving research trajectory from traditional avionics networks toward next-generation Time-Sensitive Networking solutions applicable to both aerospace and industrial automation domains. As an educator, Professor Francès teaches across multiple levels: Core courses: Algorithms and Programming, Object-oriented Design and Programming, Real-time Systems/Networks Elective modules: Functional and Logical Languages, Introduction to AI through game programming, Embedded Command/Control Systems His teaching directly complements his research, providing students with both theoretical foundations and practical applications in critical systems development.

• Real-Time Systems
• Embedded Systems
• Cyber-Physical Systems (CPS)
• +4 more

Soheil Samii is an Associate Professor at the Department of Computer and Information Science (IDA) at Linköping University. His research focuses on real-time systems, cyber-physical systems (CPS), and embedded systems, with particular emphasis on automotive applications, fault-tolerance, and networking. He leads the Adaptive Software for the Heterogeneous Edge-Cloud-Continuum (ASTECC) project, funded by the Swedish Foundation for Strategic Research (SSF). His work integrates software engineering, real-time scheduling, and safety-critical systems design. Samii’s research interests include resource optimization for 5G networks, time-sensitive networking (TSN), and automotive cybersecurity. He has contributed to frameworks for fault-tolerant embedded systems and cloud-assisted control systems. His publications often address challenges in distributed embedded control, vehicular networks, and reliability engineering. Recent articles highlight advancements in multi-traffic resource allocation for real-time applications and automotive CPS security. He collaborates with industry and academia on projects like zone-based architectures for trailering systems and perception-aware autonomous vehicle controllers. Samii supervises multiple PhD students and contributes to the Software and Systems (SAS) division at IDA, which emphasizes software engineering and computer systems research. His work bridges theoretical foundations and practical industrial applications in automotive and embedded computing domains.