Queensland University of Technology

Sotirios Pestrivas

R&D engineer and data scientist. PhD candidate in the applications of data science, statistical modelling and AI.

Program CSIRO Next Generation Graduate Program
01 Projects
02 Research
01 Phase-resolved drag area of a pedalling cyclist from wind tunnel force balance data using a Bayesian decomposition SSRN · 10.2139/ssrn.7145939 Pre-print
02 From test means to decisions, probabilistic equipment ranking in cycling Submitting shortly. Finalising submission
03 An applied study combining computer vision and statistical modelling In preparation
03 Pre-PhD

Ten years in R&D and process development. Bespoke pilot-scale equipment for a net-zero magnesium technology and for a lignite-drying process, from mechanical design through fabrication and commissioning, alongside CFD and process documentation. Earlier work covered hands-on R&D commercialising a CSIRO titanium process, and CAD and CNC workflows for a boutique guitar manufacturer.

04 Presented at
ISBA World Meeting 2026 Nagoya
Bayesian Young Statisticians Meeting 2026 Chiba
Bayes on the Beach 2026 Wollongong
05 Contact