Graduate Theses: Recent submissions
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Continual Learning for Engineering: Benchmarking and Exploring Strategies for 3D Engineering Problems
(Massachusetts Institute of Technology, 2025-05)Engineering applications of machine learning often involve high-dimensional, computationally intensive simulations paired with limited and evolving datasets. As new designs and constraints emerge, models must adapt to ... -
High-Order and Wavelet-Adaptive Immersed Methods for PDEs on Complex Domain Geometries
(Massachusetts Institute of Technology, 2025-05)The development of immersed methods brings a promising solution to the numerical simulation of interface-coupled multi-physics problems, such as multi-phase flows and fluidstructure interactions. This renders necessitates ... -
Constrained and High-dimensional Bayesian Optimization with Transformers
(Massachusetts Institute of Technology, 2025-05)This thesis advances Bayesian Optimization (BO) methodology through two novel algorithms that address critical limitations in handling constraints and high-dimensional spaces. First, we introduce a constraint-handling ...
