Spiridon Penev

Professor Spiridon Penev is a faculty member at the School of Mathematics & Statistics, University of New South Wales (UNSW), Sydney. After completing his PhD in Mathematical Statistics at Humboldt University, Berlin, he worked at Technical University of Sofia (Bulgaria) for 10 years, becoming Associate Professor in 1991. He joined UNSW in 1992, progressing from Lecturer to Professor in 2019. His teaching focuses on Statistical Inference, Multivariate Analysis, Longitudinal Data Analysis, and related advanced courses.

• Research Interests: Wavelet Methods in Non-Parametric Curve Estimation, Edgeworth Expansions, Saddlepoint Approximation, Structural Equation Models, Inference in Semiparametric Models, and Stochastic Risk Modelling.
• Article Trends: His work spans from foundational wavelet methods (pre-2010) to modern applications in climate model ensembles, portfolio optimization, marine engineering, and machine learning. Keywords include Statistics, Finance, Climate Science, Structural Health Monitoring, and Optimization.
• Awards: DAAD Award, Elected Member of the International Statistical Institute (ISI).
• Grants: Led ARC Discovery Project (2016–2018), ARC Linkage Project (2018–2022), and industry collaborations like SCA water quality analysis (2014–2019).
• Location: School of Mathematics and Statistics, UNSW Sydney, Room 1038, The Red Centre.