معرفی
Amy R. Reibman is the Elmore Family School of Electrical and Computer Engineering's Elmore Professor of Electrical and Computer Engineering at Purdue University. She holds a PhD (1987), MSEE (1984), and BSEE (1983) from Duke University. Her research focuses on image/video quality assessment, video transport over networks, and video analytics with applications in agriculture, healthcare, and surveillance. She is an IEEE Fellow and recipient of the 1998 Leonard G. Abraham Prize Paper Award.
Reibman teaches ECE 302: Probabilistic Methods in ECE (undergraduate) and ECE 634: Digital Video Systems (graduate). Her work integrates quality estimation into real systems and explores video analytics for activities like animal behavior analysis, hand hygiene monitoring, and farming automation. She collaborates with industry (e.g., AT&T Labs) and publishes widely in IEEE journals and conferences.
- Research Highlights: Video quality for IoT, first-person video stability, and agricultural video analytics.
- Grants/Projects: Supported by NSF and industry partnerships (e.g., video transport optimization).
Her lab develops tools for stress-testing quality estimators and has contributed foundational work on packet loss resilience in video coding. Current projects include cattle intake monitoring and honeybee hive detection.
