CADR-RAS Webinar - Long-Term Prediction of Graph-Modelled Military Systems via Koopman Operator Theoretic Deep Learning
- Date: Thu, 26 Sep 2024, 2:00 pm - 3:00 pm
- Location: Online Event
- Cost: Free
- More information: Webinar
- Email: cadr_ras@adelaide.edu.au
The next webinar will be on Thursday 26th September 2024 from 2.00pm - 3.00pm (Australian Central Daylight Time) around the activity of "Long-Term Prediction of Graph-Modelled Military Systems via Koopman Operator Theoretic Deep Learning" presented by Associate Professor Jihong Park, representing Deakin University and Mr Gregory Sherman from DSTG.
Format: Microsoft Teams one hour comprised of feature presentation(s) by Lead Researchers and Defence Project Leads, followed by a Q&A session. To ensure your participation, please register your online attendance below:
The CADR-RAS team extends a warm invitation to all interested parties, encouraging attendees to share this opportunity with colleagues and contacts who may benefit from these webinars. By broadening participation, the CADR-RAS aims to create a vibrant community of knowledge-sharing and innovation.
For any inquiries or requests for additional information, the CADR-RAS team is readily available to assist. Please do not hesitate to reach out to them for any questions you may have.
Media contact
Gregory Davis
Centre Manager CADR-RAS | Defence and Security Institute
THE UNIVERSITY OF ADELAIDE
Email: cadr_ras@adelaide.edu.au