Hugues Tchouankem

Hugues Tchouankem

Professor for Distributed Systems | Senior Research Scientist Mobile Communication

University of Applied Sciences and Arts Dortmund

Biography

Hugues Tchouankem is a Full Professor of Distributed Systems in the Department of Information Technology at Dortmund University of Applied Sciences and Arts (FH Dortmund), Germany, where he also heads the Institute of Communication Technology.

His research focuses on the design, integration, and optimization of intelligent and distributed networked systems. His interdisciplinary work spans Internet of Things (IoT), connected and cooperative mobility, real-time distributed systems, Cloud and Edge-Cloud Computing, embedded systems, and Embedded AI/Edge AI. A particular focus of his current research is the integration of Artificial Intelligence into mobile and wireless communication networks, with an emphasis on intelligent, adaptive, and resource-efficient networked systems.

His research interests include 5G/6G communication systems, mobile and vehicular communication, distributed computing, Edge Intelligence, AI-enabled networks, cooperative perception, digital twins, and intelligent transportation systems. His work addresses the convergence of communication, computing, sensing, and artificial intelligence to enable future autonomous and resilient systems.

Before joining academia, Prof. Tchouankem worked for many years as a Senior Research Scientist and Project Leader at Robert Bosch GmbH, where he was involved in industrial research and innovation in connected and distributed systems. His extensive experience in corporate research enables him to bridge the gap between scientific research and industrial application, with a strong focus on technology transfer and collaborative innovation.

Alongside his academic and industrial activities, he has extensive teaching experience in the field of communication and networked systems. He has taught Bachelor’s and Master’s students at Hannover University of Applied Sciences and Arts in the area of Vehicular Communication (V2X). His teaching philosophy combines strong theoretical foundations with practical, application-oriented approaches and real-world industrial challenges.

At FH Dortmund, Prof. Tchouankem is particularly committed to interdisciplinary research and collaboration with industry and research institutions. His research activities aim to develop innovative technologies and architectures for the next generation of connected, intelligent, and autonomous systems, while providing students and young researchers with opportunities to work on relevant and future-oriented research challenges.

Interests
  • Distributed Systems and Computer Networks
  • 5G/6G and Mobile Communication
  • Vehicular Communication and Connected Mobility (V2X)
  • Internet of Things (IoT)
  • Cloud, Edge-Cloud Computing and Edge Intelligence
  • Embedded AI / Edge AI
  • AI-enabled Mobile and Communication Networks
  • Real-Time Distributed Systems
  • Cooperative Intelligent Transportation Systems
  • Digital Twins and Intelligent Networked Systems
  • Connected and Smart Buildings
  • Autonomous and Resilient Networked Systems
Education
  • PhD (Dr.-Ing.) in Electrical Engineering and Information Technology, 2016

    Leibniz University Hannover

  • MSc (Dipl.-Ing.) in Electrical Engineering and Information Technology, 2009

    RWTH Aachen University

Selected Publications

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(2024). Achieving Latency-Aware V2V Communication with Distributed Antenna Systems. In IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

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(2024). Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets. In IEEE Communications Magazine.

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(2023). Correlation Analysis for the Prediction of QoS in V2V Networks. In ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications.

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(2021). AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios. In IEEE Vehicular Technology Conference (VTC Spring 2021).

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(2019). Multi-Connectivity as an Enabler for Reliable Low Latency Communications - An Overview. In IEEE Communications Surveys & Tutorials.

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