Price Engineering’s Utah AI Convergence — a multidisciplinary event that brings together researchers, practitioners, and learners interested in Artificial Intelligence — is on the horizon. The two-day summit is now accepting submissions for its poster competition.
Utah AI Convergence is seeking submissions of original research related to Artificial Intelligence and Machine Learning, coming from any discipline, describing empirical results from experiments, and/or theoretical work, simulations, and modeling. Contributions should be aimed at a general audience, limiting the use of jargon, but not at the expense of technical excellence.
Deadline for Abstract Submission: June 2, 2026, 11:59 PM MST
Notification of Acceptance: June 9, 2026
For full abstract guidelines and submission instructions, click here.
2025 Poster Competition Winners
- H.E. Thomas People’s Choice winner: Mohammad Mohammadi
- John and Marcia Price College Third Prize: Atharv Kulkarni
- The Google Second Prize: Seongil Heo
- The Cisco First Prize: Hasan Muhammad Sayeed
Last year’s first prize winner, Hasan Sayeed, presented on “KnowMat,” a tool that uses AI to pull insights out of long, complex materials science papers. “When you give it a chunk of text, you can ask it questions, and it will look for specific information in the text and extract that, outputting data in machine-readable formats,” Sayeed said. “I thought the most important thing I could do was build a fancy model. But I soon realized that the most important thing is data.”
Sayeed also emphasized the vital role of his mentor, Taylor Sparks, professor in the Department of Materials Science and Engineering, in shaping his communication skills. Sparks “really helped me improve and build confidence … He encourages all of us to attend a conference at least once a year and give a talk,” said Sayeed. “He always stressed this point: ‘You have to get them excited about your work.”