Research areas:
- Statistical modeling and predictive analysis (digital twins) of industrial and engineering systems
- Degradation modeling, diagnosis, and prognosis
- Deep learning for generative design in advanced manufacturing
- Engineering-informed machine learning
Funded projects:
- Model-Agnostic Strategies to Align AI with Real-World Operational Goals in Predictive Maintenance
- PI, National Science Foundation, 09/01/2025 – 8/31/2028
- CAIG: ECHO: Environmental Context-aware geoHazard mOnitoring AI for Sinkhole Precursor Detection
- PI, National Science Foundation, 09/01/2025 – 8/31/2028
- CLIMA: Collaborative Research: Multistable Organic Structural Systems (MOSS)
- Co-PI, National Science Foundation, 01/01/2025 – 12/31/2027
- Interpretable Dynamic Eye-tracking Analytics via Pattern Based Learning (IDEA-PBL)
- PI, ISE-HWCOE Research Thrust Pilot Program, University of Florida, 01/01/2023 – 12/31/2023
- Exploiting Spatiotemporal Energy Arbitrage for Electric Vehicle Battery Swap Stations with Faithful Battery Degradation Modeling
- Co-PI, ISE-HWCOE Research Thrust Pilot Program, University of Florida, 01/01/2023 – 12/31/2023