My research broadly focuses on developing data analytics and decision-making methodologies specifically tailored for Internet of Things (IoT) enabled smart and connected products/systems. I envision that most (if not all) engineering systems will eventually become connected systems in the future. Therefore, my key focus is on developing next-generation data analytics, machine learning, individualized informatics and graphical and network modeling tools to truly realize the competitive advantages that are promised by smart and connected products/systems.
Accomplishments and Awards
- 2021 Propelling Original Data Science (PODS) Grant Award: Coordinated Multi-building Modeling and Management for Flexible Grid Service Innovation
- New statistical tool to distinguish shared and unique features in data from different sources
