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X-WR-CALNAME:Fall 2025 ChBE Seminar: Cremaschi
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260512T005249Z
UID:tag:localist.com\,2008:EventInstance_51100652655946
DTSTART:20251119T143000Z
DTEND:20251119T153000Z
DESCRIPTION:Join us! This event features Selen Cremaschi\, who will talk ab
 out "Optimizing Processes with Hybrid Models: Energy and Biomedical Case S
 tudies" as part of the Lehigh University Chemical and Biomolecular Enginee
 ring's Colloquium Seminar Series.\n\n\nAbstract: Leveraging the growing ca
 pabilities of artificial intelligence (AI) and machine learning (ML)\nhold
 s great potential to advance the fundamental understanding of the underlyi
 ng phenomena for\nprocessing and biomanufacturing systems and to optimally
  design and operate them. These systems\,\nunlike many of the native appli
 cation domains of AI/ML algorithms\, typically produce relatively\nstructu
 red data sets that may have poor information content and may not be abunda
 nt. Additionally\,\nthere is a wealth of accumulated knowledge about some 
 of these systems. Therefore\, the application of\nAI/ML techniques require
 s careful selection and customization to incorporate existing knowledge fo
 r\nprocessing and biomanufacturing systems.\n\n\nHybrid modeling\, which c
 ombines first-principles models with data-driven models based on AI/ML\nal
 gorithms\, offers a promising approach. In this framework\, the first-prin
 ciples model captures known\nprocess knowledge\, while the data-driven mod
 el addresses discrepancies due to incomplete\nunderstanding of the process
  mechanisms\, thereby enhancing model accuracy. This talk will explore the
 \nstrengths and challenges of building hybrid models for engineering appli
 cations using three seemingly\ndisparate examples from energy and biomedic
 al domains.
LOCATION:HST\, 101 Forum
SUMMARY:Fall 2025 ChBE Seminar: Cremaschi
URL;VALUE=URI:https://eventscalendar.lehigh.edu/event/fall-2025-chbe-semina
 r-cremaschi
CATEGORIES:Seminars & Workshops
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