LA Tech professor lands $185k NSF award to build AI tools for real-world infrastructure risks
- Louisiana Tech professor Abdur Rahman has received a $185,000 grant from the National Science Foundation (NSF) to develop AI-driven anomaly detection tools.
- The research focuses on creating systems that allow operators to identify equipment failures, cyber threats, and system changes in critical infrastructure before they escalate into disasters.
- This project is vital for enhancing the resilience of real-world infrastructure by providing early warnings against both technical malfunctions and malicious cyberattacks.
- The NSF award will fund Rahman's research over a two-year period to further refine these AI tools for practical application.
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