Student Presentations on Deep Metric Learning for Coin Identification

Created on May 01, 2026

2026   ·   provenance   undergraduate research

(Left) Trevor Schonbrun presenting at the VASEM/VirginiaAI Conference, September 2025. (Right) Dhanshrée Aire presenting at the CAPWIC Conference, March 2026.

Two undergraduate researchers from the COIN Research Group presented their work on deep metric learning for ancient coin identification at regional conferences during the 2025-26 academic year. Their research supports methods for identifying individual coins from the Sawhill Ancient Coin Collection and matching them to auction catalogs and historical sales records.

VASEM/VirginiaAI Conference

Trevor Schonbrun presented his research at the Virginia Academy of Science, Engineering, and Medicine - AI Summit conference, held September 30–October 1, 2025, at the Virginia Tech Institute for Advanced Computing in Arlington, VA. His work focused on augmentation tuning and exploring visualizations related to explainable AI. The presentation poster is available online (PDF).

CAPWIC Conference

Dhanshrée Aire continued this research thread with a presentation at the ACM Capital Area Women in Computing (CAPWIC) conference, held March 27-28, 2026. Her research examined methods for automating data collection and experimenting with other computer vision backbones to improve image recognition performance. Her presentation poster is available online (PDF).



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