Joe Pow is the associate director of the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology. He was the designer and first instructor of a new non-traditional, project-based course for incoming imaging science freshmen which has had a transformational impact on the center. Prior to his arrival at RIT, he was a project manager for the Department of Defense, where he was responsible for the development and production of a wide range of new technologies and systems.
María Helguera was born in Mexico City, where she got a B.S. in physics from the National Autonomous University of Mexico (UNAM). She also holds an M.S. in electrical engineering from the University of Rochester and a Ph.D. in imaging science from the Rochester Institute of Technology (RIT) . Dr. Helguera is the principal investigator in the Biomedical and Materials Multimodal Imaging Laboratory in the Chester F. Carlson Center for Imaging Science (CIS), RIT. She is also very interested in implementing novel pedagogy in science and technology, and has been involved with the freshman imaging project since its inception. She teaches undergraduate and graduate courses at RIT, is an active member of the CIS undergraduate curriculum committee, and has been the undergraduate program coordinator since 2012.
I am a first-year imaging science major at the Rochester Institute of Technology and part of the university's honors program, which has given me the opportunity to study the pedagogy of project-based learning versus traditional, lecture-based learning.
Briana A. Neuberger is a second-year industrial/systems engineering and imaging science major at the Rochester Institute of Technology whose background in geospatial information science stems from prior involvement with the Technology Student Association. She currently is pursuing research in imaging fields regarding spatial/temporal thresholds and tracking, project-based learning, and systems that integrate tactile learning structures into classroom technology. Her Interests include intelligence collection and system optimization and efficiency.