Research News

  • August 31, 2020

    screenshot of a video game in which the character is standing facing a road.

    Serious Game Play  

    ArcWatch features two projects at RIT that teach disaster management and resilience skills.

  • August 27, 2020

    Best Paper Award in IEEE Cluster 2020

    Computer Science faculty members Minseok Kwon and M. Mustafa Rafique have received a best paper award in IEEE Cluster 2020 together with Krishna Neupane (GCCIS PhD student), and John Marshall (Cisco Systems and RIT alumnus). IEEE Cluster is a major international conference for sharing technical accomplishments in the field of cluster computing as well as the use of cluster systems for scientific and commercial applications.

  • June 23, 2020

    screenshot of program that searches math formulas.

    RIT researchers create easy-to-use math-aware search interface

    Researchers at RIT have developed MathDeck, an online search interface that allows anyone to easily create, edit and lookup sophisticated math formulas on the computer. Created by an interdisciplinary team of more than a dozen faculty and students, MathDeck aims to make math notation interactive and easily shareable, and it's is free and open to the public.

  • February 21, 2020

    two men standing in lobby of computing hall.

    Podcast: Using AI to Root Out Deep Fake Videos  

    Intersections: The RIT Podcast, Ep. 32: Deep learning, part of artificial intelligence, is being used to create fake videos that look and sound like the real thing. Professor Matthew Wright, director of RIT’s Center for Cybersecurity Research, talks with John Sohrawardi, a Ph.D. student in the Golisano College of Computing and Information Sciences, about software they are creating that uses AI to help journalists root out deep fake videos.

  • February 14, 2020

    researcher posing in lobby of building.

    Helping heart surgeons see more clearly

    Associate professor Linwei Wang is leading an international group of researchers and clinicians developing computational systems for creating individualized 3D imaging of a patient’s heart. With these 3D heart models, clinicians now have a noninvasive way to study their patients.