BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:62@escience.washington.edu DTSTART;TZID=America/Los_Angeles:20240118T163000 DTEND;TZID=America/Los_Angeles:20240118T172000 DTSTAMP:20231221T221823Z URL:https://escience.washington.edu/events/uwdss-ebers/ SUMMARY:UW Data Science Seminar: Megan Ebers DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar on Thursday\, January 18th from 4:30 to 5:20 p.m. PST. The seminar will feature Megan Eb ers\, a postdoctoral scholar in the Steele Lab\, UW Mechanical Engineering .\n\nThe seminar will be held in the Electrical &\; Computer Engineerin g Building (ECE)\, Room 105\n\n\n \;\n"Mobile sensing with shallow rec urrent decoder networks"\nAbstract: Sensing is a fundamental task for the monitoring\, forecasting\, and control of complex systems. In many applica tions\, a limited number of sensors are available and must move with the d ynamics\, such as with wearable technology or ocean monitoring buoys. In t hese dynamic systems\, the sensors’ time history encodes a significant a mount of information that can be extracted for critical tasks. We show tha t by leveraging the time-history of a sparse set of sensors\, we can encod e global information of the measured high-dimensional system using shallow recurrent decoder networks. This paradigm has important applications for technical challenges in climate modeling\, natural disaster evaluation\, a nd personalized health monitoring\; we focus especially on how this paradi gm has the potential to transform the way we monitor and manage movement-r elated health outcomes.\n\nBio: Megan Ebers is a postdoctoral scholar in a pplied mathematics with UW's NSF AI Institute in Dynamic Systems. In her P hD research\, she developed and applied machine learning methods for dynam ics systems to understand and enable human mobility. Her postdoctoral rese arch focuses on data-driven and reduced-order methods for complex systems\ , so as to continue her work in human-centered research challenges\, as we ll as to extend her research to a broader set of technical challenges\, in cluding turbulent flow modeling\, natural disaster monitoring\, and acoust ic object detection.\nThe UW Data Science Seminar is an annual lecture s eries at the University of Washington that hosts scholars working across a pplied areas of data science\, such as the sciences\, engineering\, humani ties and arts along with methodological areas in data science\, such as co mputer science\, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional part ners\, governmental agencies and industry.\nThe 2023-2024 seminars will be held in person\, and are free and open to the public. LOCATION:Electrical and Computer Engineering Building\, Room 105\, 185 W St evens Way NE\, Seattle\, WA\, 98195\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=185 W Stevens Way NE\, Seat tle\, WA\, 98195\, United States;X-APPLE-RADIUS=100;X-TITLE=Electrical and Computer Engineering Building\, Room 105:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE END:VCALENDAR