Energizing AI Symposium: AI for Energy, Energy for AI
Overview
The Energizing AI Symposium will bring together academic and industry leaders, scientists, and engineers from premier institutions across North Texas to explore innovative, collaborative solutions to the growing energy demands of the AI era. United by an interest in harnessing advanced computation and AI, participants will engage in key industrial applications, fostering connections that bridge research and real-world impact. Topics will include:
- Modeling and Design Optimization
- Advanced controls
- Energy Forecasting
- Predictive maintenance
- Cybersecurity
Who Should Attend
Southern Methodist University and MathWorks invite you to the Energizing AI Symposium.
Agenda
| Start Time | End Time | Session |
9:00 am |
10:00 am |
Registration and breakfast |
10:00 am |
10:15 am |
Welcome and introduction |
10:15 am |
10:40 am |
Keynote: Cyber Security in AI-enabled Systems Mitch Thornton - Cecil H. Green Chair of Engineering and Professor at Southern Methodist University |
10:40 am |
11:05 am |
Keynote: Load growth v. Compute needs v. Electric Demand Eric J. Young - Head of Grid Management at Itron, Inc. |
11:05 am |
11:15 am |
Coffee Break |
11:15 am |
11:30 am |
Machine Learning-based Condition Monitoring and Predictive Maintenance for Wind Turbine Components Jie Zhang - Professor of Mechanical Engineering at the University of Texas at Dallas |
11:30 am |
12:00 pm |
MATLAB-Driven Reinforcement Learning for Secure Transmission Expansion Planning Mil Shastri - Principal Application Engineer at MathWorks |
12:00 pm |
1:00 pm |
Lunch Break, Networking, and Technical Demonstrations |
1:00 pm |
1:30 pm |
Enhancing Performance and Robustness for Power Electronics Systems Mohsen Aleenejad – Senior Application Engineer at MathWorks |
1:30 pm |
2:00 pm |
Panel Discussion – Preparing the current and future workforce in the era of Generative AI |
2:00 pm |
2:15 pm |
Powering Sustainable AI-Driven Data Centers: The Untapped Potential of Small Modular Reactors Jianhui Wang - Mary and Richard Templeton Centennial Chair Professor and Professor of Electrical & Computer Engineering at Southern Methodist University |
2:15 pm |
2:30 pm |
Real-time grid detection and control with edge AI Nathan Nohr – System Engineer at Texas Instruments |
2:30 pm |
2:45 pm |
Coffee Break |
2:45 pm |
3:15 pm |
Detect Attack in Cyber-Physical Systems Using Dynamic Watermarking Jonathan LeSage – Application Engineering Manager at MathWorks |
3:15 pm |
3:45 pm |
Panel Discussion – Increasing the synergy between industry and academia |
3:45 pm |
4:00 pm |
Closing remarks |
Technology Demonstrations
- Data Center Cooling: Use Simscape to model a data center cooling system with chilled and condenser water loops, a cooling tower, and a chiller.
- Peak Shaving with Battery Energy Storage System: Model a battery energy storage system controller and a battery management system with all the necessary functions for peak shaving, following the IEEE Std 1547-2018 and IEEE 2030.2.1-2019 standards.
- Machine Learning and Deep Learning for Energy Forecasting: Leverage MATLAB to forecast electricity loads and electrical demands of data centers. Nonlinear regression and neural network-based modeling techniques are used to demonstrate accurate modeling using historical, seasonal, day-of-the week, and temperature data.
