Mehdi Mirakhorli, an assistant professor of software engineering, has earned a prestigious National Science Foundation award to develop new technologies that can make software architecture design more intuitive, particularity for novice programmers and new learners.
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.
Vice talks to Saniat Sohrawardi, a computing and information sciences Ph.D. student, and Matthew Wright, director of the Center for Cybersecurity Research, about the technology used to create and detect deepfake videos.
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.
The Frameless Symposium is an interdisciplinary gathering that combines technology-focused approaches with humanities-inspired theoretical inquiry, empirical research and artistic expression. The Symposium Committee invites contributions from users and creators of XR technology and experiences involved in industry, academia, and non-profit organizations.
RIT researchers are heading to London in November to share four of their top cybersecurity research projects at an Association of Computing Machinery (ACM) conference. The RIT research varies from studying new machine-learning cyberattacks to an analysis of Security Operations Center issues.
Ifeoma Nwogu, an assistant professor of computer science, received an NSF Faculty Early Career Development (CAREER) award and grant for her five-year project to study human behavior by using machine learning techniques to analyze and find patterns in the many signals that individuals display during social interactions.