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Department of Computing and Information Sciences Ph.D.

Researchers have created a new tool to stress test large language models (LLMs) that power AI chatbots, including ChatGPT. Using this innovation, developers can build more trustworthy AI systems and users can see which LLMs contradict themselves.

Dr. Avinash Maurya, a recent computer science Ph.D. graduate, has been recognized with the ACM SIGHPC Doctoral Dissertation Honorable Mention award for his dissertation which advanced HPC simulations and AI computations in supercomputers.

RIT is teaming up with Gallaudet University to prepare the next generation of artificial intelligence researchers and practitioners who will develop AI for everyone.

Linwei Wang, professor in the Department of Computing and Information Sciences Ph.D, has been named the Bruce B. Bates Endowed Professor at RIT.

Over the next three years, the Research Experience for Undergraduates Site in Computational Sensing for Human-centered AI will welcome nine undergraduate students each summer to RIT’s campus. The site is funded by a grant from the National Science Foundation.

A new project funded by the National Institutes of Health is using artificial intelligence to map the full journey of illnesses and discover entirely new disease pathways.

A collaboration between RIT's Machine Learning and Data Intensive Computing (Mining) Lab and the University of Rochester’s Laboratory for Laser Energetics (LLE) was featured in LLE in Focus Issue 6. Qi Yu, professor in RIT's School of Information, and computing and information sciences Ph.D. students are bringing artificial intelligence expertise to research in high-energy density (HED) physics.

A team of RIT experts has created CTIBench, a new tool that evaluates how much a large language model really knows about cybersecurity. CTIBench is the first and most comprehensive benchmark in the Cyber Threat Intelligence space. The tool is already being used by Google, Cisco, and Trend Micro.

TechTarget speaks to Paloma Hamilton, fifth-year mechanical engineering student; Geoff Twardokus, electrical and computer engineering Ph.D. student; and Christopher Collison, director of RIT's AI Hub and Initiatives, about the innovative developments featured at Imagine RIT.

Mad in America references a study coauthored by Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, and second-year computing and information sciences Ph.D. student Arka Dutta about how AI language models can swiftly escalate from mild stereotypes to promoting harmful narratives about mental health.

Mastercard speaks to computing and information technologies student Jared Husson about cybersecurity job training for deaf students.

WROC-TV speaks to Matthew Wright, endowed professor and department chair in the Golisano College of Computing and Information Sciences, and Computing and information sciences Ph.D. student Y. Kelly Wu about identifying deepfakes.