Learning to improve systems with different data types
Participants in ITT12
Day |
Session |
Speaker |
Presentation |
Wednesday 9/9 |
Morning |
Josh |
Engine data analysis and visualisation (Rolls Royce) (here)
|
Jeremy |
Ash concentration (Rolls Royce) (here)
|
Yi Sheng |
PK/PD model reduction (Novartis) (here)
|
Chris |
Optimal choice of noise for differential privacy (Novartis) (here)
|
|
Friday 11/9 |
Morning |
Jordan, Lizhi |
Machine Learning for Data Privacy (Novartis) (here)
|
Josh Y., Josh I., Stefano, Paolo |
Engine Data Analysis and Visualisation (Rolls Royce) (here)
|
Abigail, Peggy |
Parameters Estimation for
Simplified TMDD Model (Novartis) (here)
|
|
Friday 11/9 |
Afternoon |
Marco, Yyanis |
Better Contracting via Principal Agent
Problems (Rolls Royce) (here)
|
Chris, Carlo |
Bayesian Approach to Differential Privacy (Novartis) (here)
|
Katie, Tosin, Piotr, Trishen, Laura |
Why ice matters? Mathematical modelling of ice crystals, engine damage, and flight optimisation (Rolls Royce) (here)
|
Rosa, Daniel, Timothy |
Dynamical Systems and Control (Novartis) (here)
|
|