February 13
@
12:00 PM
–
1:00 PM
With the rapid advances in sensing and communication technologies, most complex systems are continuously monitored by sensors that provide a variety of streaming data with rich information about the system’s performance. Monitoring such high-dimensional streaming data in real-time is critical to detect anomalies and system failures. Nonetheless, resource constraints on sensing, computation, and communication make traditional monitoring and anomaly detection methods impractical. This talk introduces a family of adaptive and active learning strategies for online fault detection that explicitly account for the limitations associated with resource constraints. By dynamically selecting which data to sample, process, or transmit, these methods achieve efficient monitoring without sacrificing statistical reliability. I will discuss applications in networked and partially observed systems, real-time anomaly detection with mobile sensors, and online batch fault diagnosis. The unifying theme is the integration of statistical learning, sequential decision-making, and uncertainty quantification to enable scalable, data-efficient online monitoring under resource constraints.
Bio: Ana Maria Estrada Gomez is an assistant professor at the Edwardson School of Industrial Engineering at Purdue University. She received a B.Sc. in industrial engineering and a B.Sc. in mathematics from la Universidad de los Andes, Bogota, Colombia, in 2013 and 2015, respectively. She also holds a M.Sc. in industrial engineering from la Universidad de los Andes (2015), and a M.Sc. in statistics from Georgia Tech (2018). In 2021, she received her PhD in industrial engineering with a specialization in statistics from Georgia Tech. Her research interests lie in developing efficient methodologies and algorithms for modeling, monitoring, and diagnosing complex systems that collect high-dimensional data, using statistics and machine learning tools. She is the recipient of the SPES + Q&P Best Student Paper Award from ASA, the QSR Best Poster Award from INFORMS, and the IISE Doctoral Colloquium Best Poster Award. She has also been appointed as a Latina Trailblazer in Engineering Fellow by Purdue’s College of Engineering.