Novel Fault Detection and Diagnostics Approach for Robust Design and Reliable Operation of Critical Cooling Infrastructure in Data Centers
Sponsored by National Science Foundation (2025 – 2028)

Project Description
This project develops advanced fault detection and diagnostics (FDD) methods to make data center cooling systems more resilient against equipment failures and cyber-attacks. By combining event-driven supervisory control with physics-based modeling, we create open-source and hardware-in-the-loop testbeds to validate new solutions. The goal is to enable reliable, energy-efficient, and attack-resilient cooling infrastructure that supports the growing demands of AI and cloud computing.
Project Team
Pennsylvania State University

Rômulo Meira-Goes, Ph.D.
Department of Electrical Engineering Penn State University, United States

Wangda Zuo, Ph.D.
Department of Architectural Engineering, Penn State University, United States

Viswanathan Ganesh
Department of Architectural Engineering, Penn State University, United States

Hongjun Li
Department of Architectural Engineering, Penn State University, United States

Woohyoung Lee
Department of Architectural Engineering, Penn State University, United States

Michael Maloney
Department of Architectural Engineering, Penn State University, United States
Oklahoma State University

Ardeshir Moftakhari, Ph.D.
Department of Mechanical and Aerospace Engineering, Oklahoma State University

Park Jun Kyu
Department of Mechanical and Aerospace Engineering, Oklahoma State University
jun.park@okstate.edu
Press Release
- Data Centre Research Featured 2025 Penn State News
- National Science Foundation Award Announcement