Edmonton, T6G 2R3
Canada
University of Alberta
Bayesian optimization, Transfer learning, Gaussian process, Similarity factor, Mixture of Gaussains
Distributed parameter systems, infinite-dimensional systems, partial differential equations, robust model predictive control, multi-model uncertainty
Image Processing, Primary Separation Vessels, Moving Horizon Estimation, Interface Level Estimation, Robust and Constrained Estimation, Convolutional Neural Networks
Bayesian optimization, Transfer learning, Gaussian process, Port-Hamiltonian systems, Physics-enhanced machine learning
Freeze point, Soft sensor, Multi-rate measurements, Expectation-Maximization, Particle filtering
Distributed Parameter Systems, Hyperbolic Partial Differential Equations, Moving Horizon Estimation, Pipeline Leak Detection and Localization, Constrained Estimation
