Research News

  • May 19, 2020

    Roger Dube standing in front of a presentation projected onto a screen.

    RIT Professor Emeritus Roger Dube receives Fulbright Fellowship

    Professor Emeritus Roger Dube was recently awarded a prestigious Fulbright fellowship for a project to increase retention of First Nations students in STEM higher education programs. The project will take place at the University of Manitoba, where he is serving as Visiting Indigenous Scholar.

  • 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.

  • May 8, 2020

    Manuela Campanelli, Satish Kandlikar, and James Perkins

    RIT Honors Distinguished Faculty Awardees for 2020

    RIT honored its 2020 class of Distinguished Faculty—Manuela Campanelli, Satish Kandlikar and James Perkins. The Distinguished Professor designation is given to tenured faculty who have shown continued excellence over their careers in teaching, scholarly contributions, lasting contributions in creative and professional work and service to both the university and community.

  • April 24, 2020

    Student to Student: NUDIX hydrolase enzymes

    After transferring to RIT, Kevin DiMagno became a biochemistry major to prepare for medical school after graduation. In this student spotlight, he talks about his interest in characterizing the function of NUDIX hydrolases enzymes and the focus of his research.

  • April 24, 2020

    cattle in pasture

    Essential pandemic partners

    Learn how environmental scientists combine their love of nature with cutting-edge research to help understand the origins of infection.

  • April 23, 2020

    researcher pointing at equations on dry-erase board.

    Fixing the forgetting problem in artificial neural networks

    An RIT scientist has been tapped by the National Science Foundation to solve a fundamental problem that plagues artificial neural networks. Christopher Kanan, an assistant professor in the Chester F. Carlson Center for Imaging Science, received $500,000 in funding to create multi-modal brain-inspired algorithms capable of learning immediately without excess forgetting.