Machine Learning, Dynamical Systems and Control

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Workshop | Common Task Framework for Science & Engineering

February 20-21, 2024


Machine learning and AI are now used broadly in the engineering and physical sciences, with a tremendous diversity of architectures and algorithms being developed across disciplines and applications.  The AI Institute in Dynamic Systems aims to annually host practitioners in the field, domain experts and ML/AI developers, to help build a common task framework for evaluating algorithms.  An overarching goal is to develop a taxonomy of enabling architectures and algorithms for the various tasks required in applications, including estimation, forecasting, sensing and control.  This is in keeping with the AI Institute’s mission to build and support sustainable challenge data sets for evaluating algorithms and methods for solving modern problems in science and engineering.

Join us for this exciting opportunity to bring together a broad range of researchers at the interface of data-driven modeling of systems in engineering and science.


Local Organizers

Dr. Frances Zhu & Dr. Chrisy Xiyu Du, University of Hawai'i at Mānoa


Schedule & Registration Coming Soon



Travel funding is limited to faculty, students, and postdocs that are members of the AI Institute in Dynamic Systems- members, you do not need to apply for funding. A suggested limit will be determined, but there is not a hard limit as we recognize some members may be traveling longer distances. Please follow the guidance below and submit reimbursement at the end of your trip. Trip costs such as hotel, flight, and ground transportation are generally reimbursable. However, please consider the following before booking travel:
  • Per diem is a daily limit that is allowed to be spent on lodging and meals based on location. (See per diem rates.)
  • The Fly America Act is a federal policy that mandates the use of U.S. certificated air carriers for federally funded international travel. Additionally, upgraded tickets/seats/class are not reimbursable.
  • We cannot reimburse costs associated with personal travel and/or other business-related trips that may be adjacent to this trip. If you have a unique travel situation, please contact us in advance for guidance.
  • Per UW travel reimbursement policies, travelers are generally reimbursed allowable expenses arriving one day before the start of official business and leaving one day after official business has ended. If personal time is added to your trip, we strongly recommend that at the time of purchase, you create and save a flight comparison showing business dates only. Please know that the lowest cost will be reimbursed. Lodging and/or other costs for the personal time will not be reimbursed.
  • Please save all receipts and the final hotel folio for the reimbursement process.
  • Reimbursement is processed after the trip and may take a few weeks. Please use this form to submit your request.


Please feel free to contact us with any questions.