southampton

Program of the workshop

We will have plenary talks of 45 minutes each and 5 to 10 minutes of questions and discussion. All the event, including the coffee breaks and 3rd of July lunch, will take place at the Student Centre of the School of Mathematics.

July 3, 08:00 - 08:40 - Registration

July 3, 08:40 - 08:45 - Opening remarks

July 3, 08:45 - 13:05 - Session I: Data Science

08:45–09:30	Cristián Bravo: The Value of Data Variety in Fraud Analytics
09:35–10:20	Daniel Marin & Aled Davies EDMOND Project: Estimating Demand from Mobile Network Data
10:30–11:15	Marios Michailidis: Become Kaggle Number #1 using StackNet
11:15–11:30	Coffee break
11:30–12:15	Mahesan Niranjan: Machine Learning and Computational Biology
12:20–13:05	Samuel F Wamba: Assessing Big Data Analytics-enabled Dynamic Capabilities Impact on Supply Chain Agility and Competitive Advantage

July 3, 13:05 - 14:05 - Lunch break

July 3, 14:05 - 17:35 - Session II: Optimization

14:05–14:50	Pietro Belotti: Modeling and Optimization of Large-scale Industrial Problems
14:55–15:40	Stefano Coniglio & Alain Zemkoho: Bilevel Optimization and Applications
15:45–16:00	Coffee break
16:00–16:45	Antonio Martinez-Sykora: Mixed Integer Programming: An Application on 2D Irregular Packing Problems
16:50–17:35	Sven Crone: The Rise of Artificial Intelligence in Forecasting: Real Success Stories of Forecasting with Artificial Neural Networks

July 4, 09:30 - 12:05 - Session III: Forecasting

09:30–10:15	Zudi Lu: Semiparametric Model Averaging for Dynamic Time Series Forecasting: Methodology and Application
10:20–11:05	Donya Rahmani : Introducing Bayesian Singular Spectrum Analysis to Forecast Multivariate Time Series in the Presence of Structural Breaks
11:05–11:20	Coffee break
11:20–12:05	Judy Nolan: Importance of Data in Forecasting and Inventory Management

July 4, 12:10 - 12:20 - Closing remarks

School of Mathematical Sciences, University of Southampton