A group of Georgia Tech Researchers, featuring ECE professor Santiago Grijalva, are developing an artificial intelligence-enabled system named GridLogic to detect abnormal behavior inside an electrical grid network. The AFCEA publication Signal wrote about the program and how it will go beyond traditional anomaly detection and could protect other critical infrastructure segments, including distributed energy resources —solar panels and wind turbines, for instance—the network, and overall cyber-physical systems.

Spearheaded by Professor Santiago Grijalva, the NSF-backed project is set to enhance grid reliability and cost-efficiency with AI-driven decentralized optimization for renewables.

Backed by the National Science Foundation, the project uses computer games and visualizations to help students understand the often challenging topics of semiconductor and microelectronic physics.

The event highlighted research and student projects conducted through the Center on Cognitive Multispectral Sensors, a JUMP 2.0 center, over the past year and previewed its upcoming goals.

The prep event was designed to help undergraduate students make informed decisions about pursuing graduate school.