Resume
Academic Achievements
- Van Eupen, C. et al. (2024): Integrating citizen science and multispectral satellite data for multiscale habitat management, Biodiversity and Conservation.
- Steyn, M. et al. (2023): A Nearest Neighbor Open-set Classifier on Excesses of Distance Ratios, Journal of Computational and Graphical Statistics.
- Luca, S. et al. (2020): A web-based tool to design and analyze single- and double-stage acceptance sampling plans, Quality Engineering.
- Luca, S. et al. (2018): Point process models for novelty detection on spatial point patterns and their extremes, Computational Statistics & Data Analysis.
- Luca, S. et al. (2016): One-class classification of point patterns of extremes, Journal of Machine Learning Research.
Research Experience
- Currently an associate professor at Ghent University in the department of data analysis and mathematical modelling, heading the research group BIOSTAT. Research interests include modeling and analysis of spatio-temporal data, point processes, latent variable modeling for spatio-temporal data, spatio-temporal sampling design, and extreme value theory.
Education
- Holds an MSc in Mathematics from KU Leuven (Belgium, 2003) and a PhD in mathematics from Hasselt University (Belgium, 2007). Previously, a postdoctoral fellow at KU Leuven and a visiting scholar at the University of Oxford.
Background
- A mathematician working at the interface of mathematical statistics and its applications in bioscience engineering. Collaborated with engineers from various disciplines including bioscience, biomedical, and industrial engineering.