LEAC 2021: Workshop on Machine Learning in Control (Learning in Control) CPS week 2021 Nashville, TN, United States, May 11, 2021 |
Conference website | https://www.es.aau.dk/sections-labs/Automation-and-Control/Project+sites/swift/leac/ |
Submission link | https://easychair.org/conferences/?conf=leac2021 |
Submission deadline | February 22, 2021 |
Inquiries about the nature and structure of concepts, data- vs. model-based knowledge, have become central in CPS research. It is not surprising that the philosophical rivals, empiricism and rationalism have been battling for many hundred years. Despite advances in machine learning and success stories in social and mass media, learning is still very challenging.
This workshop is a consequence of the transition of the CPS community from the model-based to data-based methods. From the position of having only a few high-quality sensors to the case where data is omnipresent, but often of varying quality. We strive to learn the machines and infrastructures, to work autonomously, work together and collaborate with people.
We need new paradigms for the theory and practice of CPS. This workshop is the first step of joining research forces in formalizing and subsequently solving learning, safety assessment and verification problems.
Workshop's webpage: https://www.es.aau.dk/sections-labs/Automation-and-Control/Project+sites/swift/leac/
Submission Guidelines
We are inviting you to submit your work in progress. Please send up to 4 pages short papers
Submission Deadline: Feb 22, 2021
List of Topics
- Reinforcement learning for CPS
- Machine learning techniques for CPS
- Modelling of human behavior and sociotechnical systems
- Safety verification and computation
Organizing committee
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Rafal Wisniewski (University of Aalborg), raf@es.aau.dk
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Manuela-Luminita Bujorianu (University of Strathclyde), luminita.bujorianu@strath.ac.uk
Invited Speakers
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Claire Tomlin (UC Berkeley, USA)
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Aaron Ames (California Institute of Technology, USA)
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Michael Fisher (University of Manchester, UK)
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Akshay Rajhans (MathWorks, USA)
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Sayan Mitra (University of Illinois, USA)
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Cristina Seceleanu (Mälardalen University, Sweden)
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Radu Grosu (Vienna University of Technology, Austria)
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Joost-Pieter Katoen (RWTH Aachen University, Germany)
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Draguna Vrabie (Pacific Northwest National Laboratory, USA)
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Maryam Kamgarpour (The University of British Columbia, Canada)
Publication
LEAC 2021 proceedings will be published within CPS-IoT Week, https://cps-iot-week2021.isis.vanderbilt.edu
Contact
All questions about submissions should be emailed to Rafal Wisniewski (University of Aalborg), raf@es.aau.dk