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Gabriel Diaz

Gabriel Diaz, associate professor in the Chester F. Carlson Center for Imaging Science, and his team are aiming to understand the effects of cortical blindness on the processing of visual information used to guide behavior, like driving a vehicle. Cortical blindness affects nearly half a million stroke patients in the United States each year.

RIT faculty members, who led research initiatives as principal investigators, were honored at a reception on March 21 to celebrate the individuals who helped the university reach record awards surpassing $92 million and place among the top private research universities in the country.

During the 15 weeks between spring and fall semester, RIT students are finding ways to embrace new challenges. Some are taking the stage and performing. Others are winning club championships. For many, summer is a time to get work experience and participate in research projects, traveling abroad, and helping others while pursuing their passions.

Cecilia Alm, an associate professor in RIT’s College of Liberal Arts, was awarded nearly $2 million by the National Science Foundation to lead a team of RIT faculty addressing a lack of diversity in the artificial intelligence research community and gaps in AI curricula.

To help address a lack of diversity, as well as gaps in AI curricula, RIT was awarded a grant of nearly $2 million by the NSF to create a new research traineeship program for graduate students

Jared Gregor is about to graduate with a degree in imaging science and take an exciting new job at Facebook Reality Labs, but he never would have found his college major without a happy accident.

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.

The team, led by three Ph.D. students from the Chester F. Carlson Center for Imaging Science, won first place in the OpenEDS Challenge focused on semantic segmentation.