Dan Scarafoni is a second year PhD student, co-advised by Thomas Ploetz and Irfan Essa. He joined the team in 2018, after working as a deep learning and HCI researcher at MIT for several years. His research interests include action recognition for 4-generation industrial environments and human-robot collaboration. He holds a B.S. and M.S. in computer science from University of Rochester. His undergraduate thesis was supervised by Professor Lenhart Schubert, and his Master’s research and thesis was supervised by Philip Guo (now at UCSD) and Eshan Hoque.

Dan’s research focuses activity recognition using machine vision techniques, with particular emphasis on 4th generation industrial revolution technologies. He currently leads the PCoM project.

The most up to date information of his research can be found at his website:

www.scarafoni.com

CV, Publications, and Presentations