Towards a research agenda for learning-enabled safety-critical real-time systems
Workshop Goal
This workshop seeks to identify some central scientific issues that arise at the interface of Machine Learning and safety-critical real-time systems, that are of likely interest to the real-time computing community. The objective is to work towards defining a research agenda that both
- builds upon the technical competencies of the real-time systems community to address problems that must be solved so as to enable the safe and effective use of technologies and components based on Deep Learning and related AI technologies; and
- looks to Machine Learning to further enrich the technical competencies of the real-time systems community.
Workshop Format
A diverse set of activities and contributions are planned including invited keynotes, short talks, working sessions, and open discussions. To make the best of the day, we will primarily focus on two research themes (corresponding to the two enumerated objectives above):
- How can the expertise that is available in the real-time computing community help solve problems that arise when Learning-Enabled Components are used in safety-critical real-time systems?
- How can recent developments in Machine Learning be adapted to further enrich the repertoire of techniques that are currently in use in the real-time systems community?
and form working sessions around them. Each working session will have a keynote and a few (invited/ contributed) short talks, followed by open discussions.
Organizers
- Mitra Nasri, Eindhoven University of Technology, The Netherlands (m.nasri@tue.nl)
- Sanjoy Baruah, Washington University in Saint Louis, USA (baruah@wustl.edu)
Keynotes
We are thrilled to announce our two keynote speakers
Speakers
 Alan Burns will talk about “Classification using IDK Cascades“ | |
 Jian-Jia Chen will talk about “Flexible, efficient and robust Sensing with AI“ | |
 Isabelle Puaut will talk about “Machine learning for timing analysis: the good, the bad and the ugly” [a shorter version of her keynote at WCET’24] | |
 Yasmina Abdeddaim and Mourad Dridi will share “Some thoughts on CNNs real-time execution on NVIDIA GPUs“ | |
 Kuan-Hsun Chen will talk about “Costly and Unsafe? A good case for Reinforcement Learning“ | |
 Anna Friebe will talk about “Machine learning opportunities in design and scheduling of real-time systems“ | |
 Benjamin Lesage will talk about “Safety ARP-6983 and the challenges of ML implantation for avionic systems“ | |
Mitra Nasri will open the workshop and introduce its goals and outcomes.Program
You can download the pdf of the program here.
Logistics
The workshop will be in room Chappe. Signs will be installed in the Polytech hall to guide participants.
In case you can’t attend the workshop in person, you may use the following link on Microsoft Teams (that is valid during the workshop event) to join and virtually attend the talks. The event was not supposed to be hybrid but we will do our bests to accommodate online attendees. [Note that the link has been removed after the event].
The event
It was a very nice and lively event with great talks and constructive discussions. Here we share some memories of the events with you.
To increate the outreach of our activity, we have given a Pitch in the ECRTS Pitch Session, which we invite you to see here.
Intended Outcome
The outcome of the workshop will be a report capturing a short summary of the event and discussions, the keynotes and talks, key challenges identified during the working sessions, and a draft of an initial research roadmap for the themes that are considered in the workshop.
[The report will soon appear here.]
Join our community
We plan to form a mailing list to keep touch with whomever is interested in the crossroad of machine learning and real-time systems. On the mailing list, we share our plans, future events, interesting achievements, and relevant news to the topic.
If you would like to join our community, please fill the following form.
