Welcome to NSERC CREATE in Product-Line Engineering for Cyber-physical Systems

Cyber-physical systems (CPS) are penetrating every aspect of our lives and will transform how we interact with the physical world. These systems will enable self-driving cars, safer and cleaner airplanes, smart renewable energy systems, intelligent homes, and new types of medical devices. The next generation of such systems will be even more ubiquitous, interconnected, tailored, and heterogeneous than today's systems.

Model-based product-line engineering (MB PLE) is a key technology to conquer the complexities of such systems by allowing virtual prototyping and derivation of such systems from common platforms.

NSERC CREATE in Product-Line Engineering for Cyber-physical Systems (PLoCS) is a unique research-intensive industrial training program for graduate students and postdoctoral fellows. 

The participants will benefit from an innovative, international and industrially-relevant training model, which integrates

  • courses in fundamental concepts of software, computer, mechatronic, and systems engineering;
  • mentoring by a multi-disciplinary team of leading researchers and industry experts;
  • participation in world-class research
  • hands-on demonstrator-based training; and
  • tailored industrial internships to impart specialized professional and technical knowledge in one of the two application areas key to Canada’s high-tech leadership: automotive and aerospace systems.

The training grant will provide the participants with the opportunity and means to apply research from the laboratory in the commercial arena.

The result?

The participants will become leaders in engineering the next generation of cyber-physical systems.

  1. June 5, 2017Seminar: Jens Weiland "Adaptive AutoSAR"

    11am-12pm - lecture
    12pm-12:30pm - discussion
    DC 1331

    In this seminar, prof. Jens Weiland will give a lecture on the latest developments in AUTOSAR (abstract below). After that, we'll have a panel discussion about the relevance of Adaptive AUTOSAR for autonomous driving. In particular, we will be comparing with Robot Operating System (ROS), which we are using for Waterloo autonomous car (http://autonomoose.net). 


  2. Dec. 7, 2016Training Session "Introduction to modeling dynamic systems in MapleSim"

    The session will give an introduction to modeling dynamic systems in MapleSim.

    Jonathan Spike, Application Engineer, Maplesoft

  3. Nov. 24, 2016Seminar "Lattice-theoretic progress measures and co-algebraic model checking" and "Time Robustness in MTL and Expressivity in Hybrid System Falsification"

    Ichiro Hasuo, Associate Professor at Department of Computer
    Science, the University of Tokyo, Japan

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