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(Bilevel) optimization, data analysis and forecasting
     Southampton, 3 - 4 July, 2017

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 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	: The Value of Data Variety in Fraud Analytics
09:35–10:20	& EDMOND Project: Estimating Demand from Mobile Network Data
10:30–11:15	: Become Kaggle Number #1 using StackNet
11:15–11:30	Coffee break
11:30–12:15	: Machine Learning and Computational Biology
12:20–13:05	: 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	: Modeling and Optimization of Large-scale    Industrial Problems
14:55–15:40	& : Bilevel Optimization and Applications
15:45–16:00	Coffee break
16:00–16:45	: Mixed Integer Programming: An Application on 2D Irregular Packing Problems
16:50–17:35	: 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	: Semiparametric Model Averaging for Dynamic      Time Series Forecasting: Methodology and Application
10:20–11:05	: 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	: Importance of Data in Forecasting and Inventory Management

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

 

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