Office of Faculty Diversity and Recruitment News

  • 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.

  • April 22, 2020

    simulation of the magnetic field lines from a rotating neutron star.

    NSF funds RIT researchers to develop code for astrophysics and gravitational wave calculations

    The National Science Foundation recently awarded researchers at RIT, the University of Illinois at Urbana-Champaign, Louisiana State University, Georgia Tech and West Virginia University grants totaling more than $2.3 million to support further development of the Einstein Toolkit, a community-developed code for simulating the collisions of black holes and neutron stars, as well as supernovas and cosmology.

  • 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.

  • April 15, 2020

    An enlarged image of the different bioparticles found in a specimen.

    RIT researchers build micro-device to detect bacteria, viruses

    Ke Du and Blanca Lapizco-Encinas, both faculty-researchers in RIT’s Kate Gleason College of Engineering, worked with an international team to collaborate on the design of a next-generation miniature lab device that uses magnetic nano-beads to isolate minute bacterial particles that cause diseases. This new technology improves how clinicians isolate drug-resistant strains of bacterial infections and difficult-to-detect micro-particles such as those making up Ebola and coronaviruses.

  • April 8, 2020

    screenshot of coronavirus heatmap

    Disease detectives

    Do you love math? Are you a natural detective, always looking for clues? Discover how a mathematical epidemiologist tracks the growth and movement of diseases during real-life situations.