Secure & Autonomous HPC
AI-driven monitoring, anomaly detection, and layered cyber-defense for open-science infrastructure.
My current research direction combines AI-driven system monitoring with proactive cyber-defense to keep open-science cyberinfrastructure secure and autonomous. This includes workload failure prediction (CLOUD’23), application recognition through image-encoded monitoring data (ARcode), and the SHIELD NSF proposal (Co-PI) for layered defense mechanisms in HPC environments.