We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

“Chapter 7: Maintaining the City Enslaved Labor and Trade in Roman Philippi” in Philippi, From Colonia Augusta to Communitas Christiana: Religion and Society in Transition, edited by Steven J. Friesen, Michalis Lychounas, and Daniel N. Schowalter (Leiden: Brill, 2021).

The course provides an extensive survey of the archaeology of the Roman world, as well as an introduction to archaeological methods. Students will acquire the analytical skills necessary to interpret material culture and learn how to use archaeological remains to reconstruct various aspects of ancient societies. Emphasis for this class is on the…[Read more]