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CLASS:PUBLIC
CREATED:20260520T010911Z
DESCRIPTION:Dr. Siddhartha Verma, Assistant Professor\nDepartment of Ocean and Mechanical Engineering\nFlorida Atlantic University\n\n‘Artificial Intelligence’ has made tremendous gains in recent years, and it is increasingly finding promising uses in various practical and scientific applications. But despite our optimistic outlook, the underlying algorithms do not possess ‘intelligence’ in the true sense of the word. Instead, they are extremely adept at identifying non-linear patterns in high-dimensional datasets. I will highlight how we have leveraged such algorithms to discover optimal control laws in extremely complex systems, especially when effective rules may not be evident a-priori. By coupling autonomous control algorithms with high-fidelity simulations of fish swimming, we have demonstrated that locomotion in schooling formations can lead to energy savings when individual fish interact judiciously with their companions’ unsteady wakes. Adopting a reverse engineering approach has allowed us to understand how these autonomous decisions are driven by flow physics on a fundamental level. I will also highlight other work where Deep Learning techniques are used to accurately predict energetically important extreme events in wall-bounded turbulent flows. Importantly, these techniques allow us to focus on the inverse problem, where dynamically important 3D coherent structures are revealed in an entirely data-driven manner.\n\nLocation Information\n**This seminar will be held over Zoom only**\nMeeting ID: 961 6222 2366\nPasscode: OREseminar\nhttps://hawaii.zoom.us/j/96162222366
DTEND;TZID=Pacific/Honolulu:20230323T023000Z
DTSTAMP:20260520T010911Z
DTSTART;TZID=Pacific/Honolulu:20230323T013000Z
LAST-MODIFIED:20260520T010911Z
LOCATION:Zoom Meeting, Please see description for Meeting ID and Passcode
PRIORITY:5
SEQUENCE:0
SUMMARY;LANGUAGE=en-us:ORE seminar: ‘Artificial Intelligence’ for Flow Control and Data Analysis
TRANSP:OPAQUE
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