Machine Learning to Inform and Enhance Boundary Layer Wind Tunnel Studies

September 22-23, 2022

About the Workshop

This in-person workshop will give prospective users the opportunity to learn about the experimental and user support resources provided by the University of Florida (UF) NHERI Experimental Facility (EF). The workshop will present research opportunities that are enabled by the unique simulation and measurement capabilities of the Boundary Layer Wind Tunnel at UF. The focus will be on harnessing Machine Learning (ML) as a tool to optimally exploit this highly automated experimental environment and extend the boundaries of wind tunnel research.

Participants will hear from guest speaker leaders in the use of ML for wind hazard research and engage in proposal development activities. The workshop will take place on September 23rd. The workshop is preceded by a working dinner on September 22nd with participation encouraged.

Workshop Goals

  • Present in-depth information on the novel experimental capabilities provided by the UF NHERI Boundary Layer Wind Tunnel
  • Provide details on user services from proposal development through project close?out
  • Discuss the latest research in the use of ML to develop wind tunnel simulation capabilities and extend the discovery enabled by experimental wind tunnel testing
  • Provide information and guidance for the competitive pursuit of NSF funding and initiate proposals that utilize the services provided by the UF NHERI EF
  • Provide participants the opportunity to discuss project ideas and experimental methods individually through office hours
  • Facilitate networking with fellow researchers

Travel Funding and Eligibility

Attendance is restricted to those who are or will be eligible to apply for NSF funding by the spring of 2023. The EF will provide travel funding (domestic airfare and up to two hotel nights) for all selected workshop participants.

Workshop Registration