Forecasting:
•Neural networks
•Temporal & structural hierarchies
•Model selection & parameterisation
•Intermittent demand
Promotional modelling in the context of supply chain

Research blog: http://nikolaos.kourentzes.com

ResearchGate: https://www.researchgate.net/profile/Nikolaos_Kourentzes

Google Scholar: https://scholar.google.co.uk/citations?user=6mNvEnYAAAAJ&hl=en&oi=ao

MSCI 381: Demand Forecasting and Revenue Management

PhD in Management Science, Lancaster University

Topic: Input variable selection for time series forecasting with artificial neural networks - an empirical evaluation across varying time series frequencies.

MSc in Operational Research, Lancaster Univeristy

Ptyxion in Management and Business Admnistration, Athens University of Economics and Business