Scholar
Subhayan De
Google Scholar ID: TKC2E2cAAAAJ
Assistant Professor, Northern Arizona University
Citations & Impact
Citations
443
H-index
11
i10-index
14
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Development of bi-fidelity Deep Operator Networks (BF-DeepONets) to model complex engineering systems; Development of transfer learning strategies for uncertainty quantification of complex engineering systems; Training of neural networks using l1-regularization and bi-fidelity data; Uncertainty quantification of locally nonlinear dynamical systems using neural networks; Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning.
Research Experience
- At the UQLID Lab, he focuses on the convergence of Scientific Machine Learning (SciML), Design Optimization, and Uncertainty Quantification.
Background
- Dr. Subhayan De is an Assistant Professor in the Department of Mechanical Engineering. He leads the UQLID Lab at NAU.
Miscellany
- Research projects include: Machine Learning for Uncertainty Quantification, Car suspension system, Windfarm, Li-ion battery, Lid-driven cavity flow, etc.
