Data-Driven Seminar: Ricardo Vinuesa
Title: Explainable deep learning for control and foundation models for discovery and optimization
Abstract: In this seminar we discuss a unified framework that combines explainable deep learning, deep reinforcement learning (DRL) and foundation models to advance both understanding and control of turbulence, with direct implications for accelerated design and discovery. First, we will show how explainable deep learning techniques can be used to identify the flow features that are truly responsible for key turbulent processes in wall-bounded flows. By systematically interrogating trained neural networks, we uncover the most influential coherent structures driving momentum transport and drag. Our results reveal that classically studied structures (while important) provide only a partial and sometimes misleading perspective, motivating a more data-driven and physics-aware view of turbulence organization. Building on these insights, we will demonstrate how deep reinforcement learning can be used to actively contr…
Event interval: Single day event. Campus location: Electrical and Computer Engineering Building (ECE). Campus room: 125. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars.
Thursday, March 19, 2026, 11:30 AM – 12:30 PM.
For more info visit cassyni.com. Institute-wide Meeting
See internal calendar for Zoom link.
Event interval: Single day event. Campus room: N/A. Accessibility Contact: llederer@uw.edu. Event Types: Meetings.
Tuesday, April 14, 2026, 12:00 PM – 1:00 PM.
Thrust Lead Meeting
Calendar invites with a Zoom link will be sent to participants.
Event interval: Single day event. Campus room: N/A. Accessibility Contact: llederer@uw.edu. Event Types: Meetings.
Tuesday, May 12, 2026, 12:00 PM – 1:00 PM.
HOLIDAY | UW CLOSED
Event interval: Single day event. Accessibility Contact: N/A. Event Types: Not Specified.
Monday, May 25, 2026.