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BEGIN:VEVENT
DTSTAMP:20260202T201803Z
LOCATION:Booth 3537 - SCinet Theater
DTSTART;TZID=America/Chicago:20251118T160000
DTEND;TZID=America/Chicago:20251118T163000
UID:submissions.supercomputing.org_SC25_sess584_misc251@linklings.com
SUMMARY:High-Performance Computing for Data-Centric and Self-Adaptive Mach
 ine Learning in Health and Energy Systems
DESCRIPTION:Natasha Nigar (University of Engineering and Technology, Lahor
 e, Pakistan)\n\nThis work explores how HPC enhances self-adaptive machine 
 learning for large-scale health and energy data, enabling efficient multim
 odal simulations and optimal trade-offs between computational cost, accura
 cy, and cloud deployment.\n\nRecording: Not Livestreamed, Not Recorded\n\n
 Registration Category: Technical Program Reg Pass, Exhibits Reg Pass\n\nSe
 ssion Chairs: Hervey Allen (University of Oregon, Network Startup Resource
  Center; University of Oregon) and Tim Osborne (Oak Ridge National Laborat
 ory (ORNL))\n\n
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