Jacquelien Scherpen speaks at 4TU-AMI Symposium "Reducing dimensions in Big Data: Model Order Reduction in Action

The Big Data section of the Applied Mathematics Institute of the 4TU federation (4TU-AMI) invites you to an informal symposium on Friday afternoon, June 8.

The goal of the event is to build bridges between Model Order Reduction and Big Data and discuss its relevance to industrial applications. The symposium will feature talks by speakers from academia and industry, as well as a panel discussion

https://www.4tu.nl/ami/en/Big_Data/

Participation is free of charge, but registration is mandatory.

REGISTRATION:  

The symposium is open to a maximum of 50 participants. To register, click on the link below - registration is done on a first-come first-serve basis. For more information, feel free to contact the organisation committee.

http://fa.its.tudelft.nl/diam/registration4tu.php

Programme:

13.30  Combining traditional modelling, model order reduction and big data - Wil Schilders (Eindhoven University of Technology)

14.00 Real-time Optimization of Thermal Ablation Cancer Treatments - Zoi Tokoutsi (Philips)

14.30 Break

14.45 Randomized model order reduction - Kathrin Smetana (University of Twente)

15.15 Structure preserving order reduction of networked linear systems - Jacquelien Scherpen (University of Groningen)

15.45 Break

16.00 Panel discussion

16.45 Closing and drinks

Jacquelien Scherpen studied Applied Mathematics at the University of Twente, where she also gained her PhD in 1994 with a thesis entitled Balancing for nonlinear systems. She then went on to work at the TU Delft, after which she became Professor of Discrete Technology and Production Automation at the University of Groningen in 2006. Professor Scherpen has been Director of the Engineering and Technology Institute Groningen since January 2013. Her research area covers order reduction methods for nonlinear control systems in order to make control design and implementation feasible for complex nonlinear systems. Furthermore, she studies the design of distributed and often nonlinear controllers for complex applications. Examples of such systems can be found in industry, robotics, micro systems, semi-conductors, energy systems, smart grids and space applications.