Trier University of Applied Sciences, Environmental Campus Birkenfeld

INTRACS

International Research Alliance on AI and CPS Security

Goals of INTRACS:

  • International research teams 3-4 people from at least two countries
  • International publications
  • International book projects and journal editorials
  • International research grants
  • Finding gaps in research of AI, CPS and IoT
  • Support of startup ideas 
  • Exchange of master students
  • Joint PhD students

 Research topics (not limited to)

  • Machine Learning for Cyber-Physical Systems (CPS)
  • IoT and modern communication systems
  • Cybersecurity für CPS
  • Wireless communications 6G
  • Machine learning and data analytics for IoT systems
  • Signal processing for multidimensional sensor signals
  • Process mining for sensor signals
  • Intelligent logistics and mobility
  • Low complexity AI algorithms for IoT end-nodes
  • Coding and distributed learning
  • Energy efficient algorithms for IoT end-nodes
  • Learning of sensor information based on rate-limited IoT systems
  • On-premise learning algorithms for privacy preserving AI systems
  • Distributed AI-based attack detection in IoT
  • Robust/secure transmission tradeoff in IoT

Partners of INTRACS

Brasil / England

  • Prof. Rodrigo De Lamare: PUC-Rio/ University of York: 

Canada

  • Prof. Gunes Karabulut-Kurt.: École Polytechnique, Montreal, Canada

USA

  • Prof. Houbing Song: Embry-Riddle Aeronautical University, Daytona Beach, Florida, USA
  • Prof. Huihui Wang: St. Bonaventure University, NY

Germany

  • Prof. Anke Schmeink: RWTH Aachen University 
  • Prof. Guido Dartmann: Trier University of Applied Sciences