News
Imaging Science Ph.D.

  • January 15, 2021

    researchers wearing clean suits analyzing a magnified view of an integrated circuit.

    New economy majors connect with emerging careers

    Analytical thinking, complex problem solving, creativity, resiliency, and flexibility are among the top skills needed for emerging careers by 2025. Anticipating these rapid changes in the workplace—further accelerated by lessons learned from the COVID-19 pandemic—RIT is seizing on the opportunity to guide students to “new economy majors” that are multi­disciplinary, transformative, and future-focused.

  • November 13, 2020

    graphic reads: Graduate Education Week, November 16-20.

    RIT celebrates graduate student research with weeklong virtual symposium Nov. 16-20

    RIT will celebrate graduate research during the 13th annual Graduate Education Week and Showcase: A Vision into the Future. The virtual event—Nov. 16 to 20—creates a platform for sharing and exchanging ideas during the COVID-19 pandemic, with pre-recorded and live presentations, demonstrations, visual exhibitions, and an alumni panel discussion.

  • June 5, 2020

    professor helping student put on virtual reality headset.

    RIT faculty earns NIH grant to use virtual reality to help stroke patients regain lost vision

    Scientists from RIT and the University of Rochester aim to use virtual reality to help restore vision for people with stroke-induced blindness. The team of researchers led by RIT's Gabriel Diaz, are developing a method they believe could revolutionize rehabilitation for patients with cortically induced blindness, which afflicts about 1% of the population over age 50.

  • May 15, 2020

    student working in digital imaging lab with camera

    Student to Student: Remote Sensing

    RIT student, Benjamin Roth, credits his mentors for his interest in remote sensing. His research focuses on retrieving accurate biophysical information on forest health from remote sensing platforms.

  • April 18, 2020

    photo of Tyler Hayes in the Carlson Center at RIT

    Student to Student: Artificial intelligence/machine learning

    During an internship, Tyler Hayes used computer vision and machine learning techniques to estimate the quality of images taken from airborne image sensors. It sparked her interest to learn more about machine learning, so she applied to the Imaging Science Ph.D. program at RIT.

  • March 31, 2020

    Karen Braun.

    Alumni Update: Returning to guide the next generation of imaging scientists

    Karen Braun had a clear picture of what she wanted to do with her life at a young age. As Braun grew up, she developed a wide variety of interests including photography, psychology, and physics. She ultimately found a new cross-disciplinary Ph.D. program in imaging science at RIT that let her pursue those interests all at once.