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High Performance & Scientific Computing

Artificial Intelligence Research Computing Symposium

Artificial Intelligence Research Symposium Graphic

Join Us Via Zoom on May 17, 2023

View the agenda, timetable, sessions, speakers

The University of Tennessee, Knoxville (UTK) Office of Innovative Technologies (OIT) High Performance & Scientific Computing (HPSC) group, in partnership with the UTK Office of Research, Innovation, and Economic Development (ORIED), will be hosting a 2023 Artificial Intelligence Research Computing Symposium via Zoom on Wednesday, May 17, 2023. The presentations and discussions at this meeting will inform up to $1M in new investments to expand UT’s AI-relevant computing capabilities this year.

This Symposium will bring together and engage the UTK research community across all disciplines to discuss computing for AI as part of the UT AI Tennessee Initiative. The Symposium will include: (1) presentations from researchers on computing-intensive AI topics, (2) information on resources currently available to UT’s AI researchers, and (3) opportunities to discuss needs and recommendations around computing resources and support for UT’s AI computing community.

This symposium contributes to the “infrastructure” component of the AI Tennessee Initiative, which aims to build up the computational, data, and support infrastructure to advance transdisciplinary AI research and education. More broadly, the AI Tennessee Initiative is engaging with academic, industry, and community partners across Tennessee to leverage the benefits of AI across all disciplines and economic sectors in areas such as smart manufacturing, climate-smart agriculture and forestry, precision health and environment, future mobility, AI for science, and much more. Our goal is to make life and lives better through AI research and education.

Do I Need to Register?

No registration is required and each Zoom session will be limited to the first 300 people (if we get that many this will be a real success!). To facilitate recording we will have multiple Zoom sessions. All Zoom session links will be provided in the Agenda table below.

Google Document for Notes, Comments, and Feedback

We have created an AI Symposium “Google document” that is shared editable with al of UTK. This document will be for notes, comments, links, and feedback. The document link is

Note: The above document is only accessible by UTK faculty, staff, and students using their UTK.EDU identity with Google documents.


All times Eastern Time Zone
All sessions were recorded.

Time Eastern (ET) Presentation/Session Title Presenter/Moderator
9:00 a.m. ETSymposium Welcome/Introduction and AI Tennessee Initiative 
Welcome/Intro Zoom Recording Video
Lynne Parker
UTK AVC and Director, AI Tennessee Initiative
9:30 a.m. ETMachine Learning Coupled with Quantum Chemistry for Molecular Discovery
Presentation 1 Recording Video
Dr. Kostas Vogiatzis
10:00 a.m. ETMachine Learning: Application of Bayesian Machine Learning to Machining Stability Prediction
Presentation 2 Recording Video
Aaron Cornelius
PhD student
Dr. Tony Schmitz
10:30 a.m. ETSystem-driven AI for Smart Manufacturing
Presentation 3 Recording Video
Dr. Tony Shi
11:00 a.m. ETAdvancing Alzheimer’s Care: The Intersection of AI, Robotics, and Multimodal Techniques
Presentation 4 Recording Video
Dr. Xiaopeng Zhao
11:30 a.m. ET

Community Discussion

Overview of UT HPSC Resources: ISAAC clusters. Are the HW & SW resources adequate? What is missing for AI research and proposal support?
Community Discussion 1 Recording Video
Victor Hazlewood


1:00 p.m. ETAn Exploratory Analysis of Service Use Patterns in Healthcare Claims Data Using Unsupervised Machine Learning vs. Conventional Statistics
Presentation 5 Recording Video
Dr. Radion Svynarenko
1:30 p.m. ETScientific ML/AI with Surrogate Models’ Benchmarking for FAIR Principles’ Conformance
Presentation 6 Recording Video
Dr. Piotr Luszczek
Center for IT Research
2:00 p.m. ET

Community Discussion

How to Support AI Research with Software, Support Mechanisms, Training, and Services
Community Discussion 2 Recording Video
Xianfeng Ma
3:00 p.m. ETUnderstanding and Improving Superconductor Property Homogeneity at Larger Scales via Reinforcement Learning and other AI Models
Presentation 7 Recording Video
Dr. Fabiano Carvalho
3:30 p.m. ETAcceleration of Multi-scale Computational Research on Mass and Thermal Transport via Data Science Technologies
Presentation 8 Recording Video
Dr. Seungha Shin
4:00 p.m. ETRevolutionizing the Food Industry with Industry 4.0: Integrated Multiphysics Modeling and AI for Smart Manufacturing
Presentation 9 Recording Video
Dr. Jiajia Chen
Food Science
4:30-5 p.m. ET

Wrap Up

Wrap up Recording Video
Victor Hazlewood

Attendee List (UT authentication required)