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