BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//LANS Seminar - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:LANS Seminar
X-ORIGINAL-URL:https://wordpress.cels.anl.gov/lans-seminars
X-WR-CALDESC:Events for LANS Seminar
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20250309T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20251102T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20260308T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20261101T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20270314T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20271107T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260319T143000
DTEND;TZID=America/Chicago:20260319T153000
DTSTAMP:20260609T050637
CREATED:20260305T172324Z
LAST-MODIFIED:20260305T172324Z
UID:3959-1773930600-1773934200@wordpress.cels.anl.gov
SUMMARY:
DESCRIPTION:Seminar Title: Optimal Experimental Design for Digital Twins Using a Network-Flow Approach \n  \nSpeaker: Marco Mangano\, Postdoc\, MCS Division\, Argonne National Laboratory \n  \nDate: Thursday\, March 19\, 2026 \nTime: 2:30 PM-3:30 PM (In-Person) \nLocation: Hybrid\, Bldg. 240\, Conference Room 4301 \nDescription: Efficient data assimilation is a significant bottleneck towards the development of highly scalable and reliable digital twins. Uncertainty quantification and optimization becomes particularly challenging when either the nature of the system or cost limitations prevent the deployment of a large number of sensors for data collection. We propose a novel trajectory design approach for the optimal experimental design (OED) of contiguous data acquisition based on a network-flow formulation. In contrast to conventional control strategies\, we discretize the spatial domain into a set of network nodes and identify the optimal path between nodes to minimize uncertainty. This approach allows for a more thorough exploration of the design space than what multi-start local optimizations can do. The network-flow approach we propose translates into a challenging discrete optimization problem\, whose objective is expensive to evaluate\, highly nonlinear\, and can be non-smooth. Moreover\, the objective function needs to be evaluated over the entire path instead of being summed edge-by-edge. With an increasing number of edges\, the number of possible paths rapidly increases and the combinatorial problem becomes intractable. We showcase a branch-and-bound algorithm we developed\, which leverages tailored bounds and constraints to tackle the optimization at a tractable computational cost. \n\n  \nBio: Marco Mangano is a postdoc in the Argonne MCS division. He holds a PhD from the University of Michigan (US\, 2023)\, an MSc from TU Delft (NL\, 2019)\, and a BSc from University of Padua (IT\, 2014)\, all of them in Aerospace Engineering. His previous research focused on multidisciplinary design optimization (MDO) for wind and hydrokinetic turbines using high-fidelity simulations in the loop. He is currently developing novel optimization algorithms for digital twins\, with particular focus on data assimilation and optimal experimental design problems. He has co-authored several journal and conference papers that appeared in Renewable Energy\, JOSS\, Scientific Reports\, and multiple AIAA journals. His work on CFD-based aerodynamic shape optimization has been recognized with the 2019 AIAA Applied Aerodynamics Best Paper award. \n  \nPlease note that the meeting URL for this event can be seen on the cels-seminars website which requires an Argonne login. \n  \nSee all upcoming talks at https://www.anl.gov/mcs/lans-seminars
URL:https://wordpress.cels.anl.gov/lans-seminars/event/3959/
LOCATION:https://wordpress.cels.anl.gov/cels-seminars/event/lans-seminar-209/
CATEGORIES:Seminar
END:VEVENT
END:VCALENDAR