BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250423T153000
DTEND;TZID=America/New_York:20250423T163000
DTSTAMP:20260602T073732
CREATED:20241216T202548Z
LAST-MODIFIED:20241216T202548Z
UID:12783-1745422200-1745425800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "From Molecules to Supply Chains: Transforming Data to Decisions using Geometry\, Optimization\, and Machine Learning" (Victor Zavala\, University of Wisconsin-Madison)
DESCRIPTION:Abstract: \n\nWe discuss how geometry\, optimization\, and machine learning are key technologies that are revolutionizing the way we think about data and the way we transform data into actionable models and decisions. Specifically\, we explain how complex data (e.g.\, text\, molecules\, time series\, images/video\, supply chain flows) can be represented as geometrical objects and how this facilitates the interpretation and extraction of useful information from data. We also discuss how extracted information can be mapped into decisions using optimization and machine learning models. We illustrate how to use these powerful math tools in innovative ways for analyzing complex datasets arising in molecular dynamics simulation\, microscopy\, chemical processes\, and supply chains. Specifically\, we show that these tools can help link the microstructure of soft gels to their rheological properties\, can help analyze complex responses of liquid crystals from video data\, and can help detect faults and optimize large-scale systems.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-from-molecules-to-supply-chains-transforming-data-to-decisions-using-geometry-optimization-and-machine-learning-victor-zavala-university-of-wisconsin-madison/
LOCATION:Wu & Chen Auditorium
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
END:VCALENDAR