معرفی
Amanda Parker is a Researcher in the School of Computing at the Australian National University (ANU). Her work focuses on applying machine learning to materials science and nanotechnology, with particular emphasis on nanoparticle design, multi-dimensional materials modeling, and computational chemistry. She has supervised research students and contributed to projects such as the 'Computing for Social Good Seed Grants 2023,' exploring efficient high-performance computing methods.
Her research interests span machine learning algorithms, data-driven materials design, and the computational analysis of nanomaterials. Recent projects include developing graph-based representations for multi-dimensional materials and optimizing active learning strategies for scientific simulations. She has published extensively on topics like nanoparticle classification, interfacial informatics, and the prediction of material properties using Bayesian inference and neural networks.
Her work bridges computational methods with experimental insights, aiming to accelerate the discovery of novel materials for energy, catalysis, and environmental applications. Current efforts emphasize minimizing experimental bias and enhancing computational efficiency through advanced machine learning techniques.
