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:369@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20260520T163000
DTEND;TZID=America/Los_Angeles:20260520T172000
DTSTAMP:20260512T201310Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-chinmay
 -ratnaparkhe/
SUMMARY:UW Data Science Seminar: Chinmay Ratnaparkhe
DESCRIPTION:Please join us for a UW Data Science Seminar featuring UW Herbo
 ld Fellow and Mechanical Engineering graduate student Chinmay Ratnaparkhe 
 on Wednesday\, May 20th from 4:30 to 5:20 p.m. PT. The seminar will be hel
 d in IEB G109.\n"Seeing Through Composites: Automating Defect Detection fr
 om Ultrasonic Sensor Data"\nAbstract: Modern commercial aircraft are built
  with over 50% composite materials by weight. Manufacturing these layered 
 structures can trap hidden wrinkle defects\, out-of-plane fiber waviness t
 hat reduces structural strength by up to 73%. Industry inspects these part
 s using ultrasonic scanners at multiple frequencies: low-frequency systems
  penetrate deep into thick structures for broad defect detection\, while h
 igh-frequency systems provide the image clarity needed to characterize wri
 nkle geometry. But wrinkle characterization today remains largely manual. 
 Trained experts interpret complex waveforms scan by scan\, a process that 
 is slow\, subjective\, and increasingly bottlenecked by a shortage of qual
 ified inspectors.\n\nThis talk presents a data-driven approach to automati
 ng wrinkle characterization from ultrasound scans\, built around Dynamic M
 ode Decomposition (DMD) and its variants as the primary feature extraction
  framework. The method leverages spectral decomposition to separate sequen
 tial sensor data into physically meaningful patterns\, enabling interpreta
 ble defect measurements with reduced reliance on manual analysis. The talk
  walks through the pipeline\, from data collection and signal preprocessin
 g to feature extraction and defect characterization\, and discusses prelim
 inary results on real composite samples. It concludes with a look at alter
 native approaches\, open challenges around scaling and automation\, and br
 oader connections to sequential sensor data problems across disciplines.\n
 \nSpeaker Bio: Chinmay Ratnaparkhe is a Herbold Fellow and M.S. student in
  Mechanical Engineering: Data Science at the University of Washington\, ad
 vised by Prof. Krithika Manohar and Prof. Xu Chen. His research at the Boe
 ing Advanced Research Center (BARC) applies spectral decomposition techniq
 ues to ultrasonic inspection data for automated defect characterization in
  aerospace composites. He completed his B.Tech in Mechanical Engineering f
 rom the Indian Institute of Technology (IIT) Bhilai\n\n\nThe 2025-2026 sem
 inars will be held in person\, and are free and open to the public.\n\n
ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa
 ds/2026/05/IMG_6678_Original.jpg
END:VEVENT
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR