معرفی
Dr. Aleksandra Svalova is a Lecturer in Statistics at Newcastle University's School of Mathematics, Statistics and Physics. She holds a PhD in Petroleum Geochemistry (2014-2019) and rejoined the Statistics department as a Research Associate in 2019 before transitioning to her current faculty role in 2022. Her research focuses on statistical surrogate models, Bayesian inference, and Gaussian process emulation applied to geotechnical engineering and infrastructure deterioration. She leads the development of the ACHIMULATOR app within the ACHILLES consortium, which predicts infrastructure asset deterioration in real-time using Bayesian methods.
Teaching: She teaches engineering statistics in modules SFY0002, CME1027, and ENG2031, emphasizing practical applications in data analysis and mathematical modeling.
Research: Key projects include modeling slope stability in high-plasticity clays, collaboration with industry stakeholders, and advancing Gaussian process-based tools for infrastructure risk assessment. Her work integrates computational materials modeling and probabilistic forecasting, supported by EPSRC grants (EP/R034575/1 and EP/K027050/1).
Labs/Teams: Active member of the ACHILLES consortium, collaborating across 6 UK institutions and industry partners to address long-linear infrastructure challenges.
