AIMdyn Inc. is Awarded DARPA SBIR Project:
“Koopman Operator-Based Forecasting for Nonstationary Processes from Near-Term, Limited Observational Data”
In this project we aim to develop prediction methodology, based on Koopman operator theory, for nonstationary processes, with low amount of observational data, performed with low computational power. The use of the Koopman operator theory enables swift adaptation to the sudden changes in the character of the received data, and, at the same time, keeping the acquired knowledge on the global time scale. We will develop the underlying algorithms and test the approach on the COVID-19 pandemic dataset. We plan to couple forecasting capability with operational aspects of logistics planning and monitoring.
Principal Investigator: Dr. Maria Fonoberova