An AI Summit for Utah, presented by the John and Marcia Price College of Engineering
This one-day event will feature research talks from faculty across the Price College of Engineering, highlighting both foundational and use-inspired advances in artificial intelligence in many domains, e.g., healthcare, infrastructure, technology in daily life, materials, energy, cybersecurity, and environment. A statewide student poster competition will showcase innovative AI work from higher education institutions in Utah. Designed to connect researchers, students, industry partners, and policymakers, the summit aims to elevate engineering-led AI innovation and collaboration across Utah. Space is limited.
Registration is now closed
- Date
- June 18, 2025
9:00 am - 5:00 pm - Location
- Salt Lake City, UT

June 18
Click here for a PDF version of the program
Registration / Meet and Greet
8:00AM - 9:30AM MT
Start the day by connecting with fellow summit-goers over coffee and conversation as we gear up for an inspiring day of events.
Opening Remarks
9:30AM - 10:00AM MT
Listen to representatives of the University Leadership & the State Legislature talk about their hopes for AI here in Utah.
AI in Sensing, Seeing and Securing the World
Moderated By Varun Shankar
10:00AM - 10:55AM MT
Weilu Gao, ECE, Machine learning with optics
Ziad Al-Halah, CS, Multimodal Embodied AI
Guanhong Tao, CS, Towards Safe and Secure Large Language ModelsNext-Gen AI: From Supervision to Autonomy
Moderated By Tucker Hermans
11:00AM - 11:55AM MT
Jacob Hochhalter, ME, Reducing Training Costs with Derivative Informed Data from Hypercomplex Automatic Differentiation
Daniel Brown, CS, Toward Robust, Interactive, and Human-Aligned AI Systems
Vivek Srikumar, CS, Human language technology: Can we do better than bigger?Lunch / Poster Session / Networking
12:00PM - 1:00PM MT
The Nexus of Health, Humans, and Machines
Moderated By Laura Hallock
1:00PM - 2:30PM MT
Tolga Tasdizen, ECE, Towards interpretable AI models in radiology
Neda Netagh, ECE, Toward less artificial intelligence
Alan Kuntz, CS, Autonomous Surgical Robots that Learn from Human Surgeons
Amir Arzani, ME, Scientific machine learning: From no data to large data
Ashley Dalrymple, BME, Reinforcement Learning for Predicting Walking-Related EventsBreak / Poster Session / Networking
2:30PM - 3:15PM MT
“Bridging” AI and Infrastructure
Moderated By Cathy Liu
3:15PM - 4:10PM MT
Ryan Johnson, CVEEN, High-Resolution Snow Mapping with Machine Learning: Pioneering Products to Enhance Season-to-Season Water Supply Forecasting
Masood Parvania, ECE, AI for Autonomous Power Grid Operation
Chenxi (Dylan) Liu, CVEEN, Leveraging AI for intelligent transportation systems
Taylor Sparks, MSE, The materials of tomorrow, todayAwards & Closing Remarks
4:15PM - 4:30PM MT
Confirmed Speakers
Please revisit the page for updates to the speaker list.

Alan Kuntz

Ashley Dalrymple

Amir Arzani

Chenxi Dylan Liu

Daniel Brown

Guanhong Tao

Jacob Hochhalter

Masood Parvania

Ryan Johnson

Taylor Sparks

Vivek Srikumar

Ziad Al-Halah

Tolga Tasdizen

Neda Netagh
