Symposium Big Data

Symposium Big Data 2018
4TU Delft
4TU Eindhoven
4TU Twente
4TU Wageningen

4TU-AMI Big Data symposium

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.

Title: Reducing dimensions in Big Data: Model Order Reduction in action.
Date: June 8, 2018
Location: Utrecht BCN (Central Station, Catherijnesingel 48).

Programme:
13:30 hrs.: Wil Schilders
                  "Combining traditional modelling, model order reduction and big data"
14:00 hrs.: Zoi Tokoutsi
                  "Real-time Optimization of Thermal Ablation Cancer Treatments"
14:30 hrs.: Break
14:45 hrs.: Kathrin Smetana 
                  "Randomized model order reduction"
 15:15 hrs.: Jacquelien Scherpen
                   "Structure preserving order reduction of networked linear systems"  
15:45 hrs.: Break
16:00 hrs.: Panel discussion
16:45 hrs.: Closing and drinks

SPEAKERS: 
Wil Schilders studied Mathematics, with Physics and Astronomy, at Radboud University in Nijmegen, The Netherlands, from 1974-1978, and obtained his PhD from Trinity College Dublin in 1980. From 1980-2006 he worked at Philips Research, mainly on mathematical software, and from 2006-2010 at NXP Semiconductors. Since 1999, he was also a part-time professor at TU Eindhoven on scientific computing for industry. In 2010, he moved to TU Eindhoven, and also became the director of the Platform Wiskunde Nederland. He has been active within the European Consortium for Mathematics in Industry (ECMI), chairing the Research and Innovation Committee. Since 2015, he is also president of EU-MATHS-IN, the European Service Network of Mathematics for Industry and Innovation (www.eu-maths-in.eu).  More information: http://www.win.tue.nl/~wschilde/.  

 Zoi Tokoutsi is a Marie Curie research fellow in the AdapTT European Industrial Doctorate (EID) program. AdapTT is a collaboration project between Philips Research, the RWTH University Hospital, and the AICES graduate school. The focus of the project lies on the development of biophysical models, experimental validation procedures, and the development of planning and guidance tools for radio-frequency based ablation treatments. Zoi is working on reduced basis methods for the construction of real-time efficient and quantifiably accurate surrogate models in ablation treatment planning. She is currently in the final stages of her PhD.  

 Kathrin Smetana is Assistant Professor at the Department of Applied Mathematics at the University of Twente. Prior to that appointment she worked as a postdoctoral associate in the Group of Professor Mario Ohlberger in the Department of Applied Mathematics at the University of Münster, Germany and in the Group of ProfessorAnthony T. Patera in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, United States. Smetana holds a PhD in Mathematics from the University of Münster. The main focus of her research is model reduction for partial differential equations and randomized algorithms for numerical simulations. 

 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

4TU-AMI Big Data symposium

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.

Title: Reducing dimensions in Big Data: Model Order Reduction in action.
Date: June 8, 2018
Location: Utrecht BCN (Central Station, Catherijnesingel 48).

Programme:
13:30 hrs.: Wil Schilders
                  "Combining traditional modelling, model order reduction and big data"
14:00 hrs.: Zoi Tokoutsi
                  "Real-time Optimization of Thermal Ablation Cancer Treatments"
14:30 hrs.: Break
14:45 hrs.: Kathrin Smetana 
                  "Randomized model order reduction"
 15:15 hrs.: Jacquelien Scherpen
                   "Structure preserving order reduction of networked linear systems"  
15:45 hrs.: Break
16:00 hrs.: Panel discussion
16:45 hrs.: Closing and drinks

SPEAKERS: 
Wil Schilders studied Mathematics, with Physics and Astronomy, at Radboud University in Nijmegen, The Netherlands, from 1974-1978, and obtained his PhD from Trinity College Dublin in 1980. From 1980-2006 he worked at Philips Research, mainly on mathematical software, and from 2006-2010 at NXP Semiconductors. Since 1999, he was also a part-time professor at TU Eindhoven on scientific computing for industry. In 2010, he moved to TU Eindhoven, and also became the director of the Platform Wiskunde Nederland. He has been active within the European Consortium for Mathematics in Industry (ECMI), chairing the Research and Innovation Committee. Since 2015, he is also president of EU-MATHS-IN, the European Service Network of Mathematics for Industry and Innovation (www.eu-maths-in.eu).  More information: http://www.win.tue.nl/~wschilde/.  

 Zoi Tokoutsi is a Marie Curie research fellow in the AdapTT European Industrial Doctorate (EID) program. AdapTT is a collaboration project between Philips Research, the RWTH University Hospital, and the AICES graduate school. The focus of the project lies on the development of biophysical models, experimental validation procedures, and the development of planning and guidance tools for radio-frequency based ablation treatments. Zoi is working on reduced basis methods for the construction of real-time efficient and quantifiably accurate surrogate models in ablation treatment planning. She is currently in the final stages of her PhD.  

 Kathrin Smetana is Assistant Professor at the Department of Applied Mathematics at the University of Twente. Prior to that appointment she worked as a postdoctoral associate in the Group of Professor Mario Ohlberger in the Department of Applied Mathematics at the University of Münster, Germany and in the Group of ProfessorAnthony T. Patera in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, United States. Smetana holds a PhD in Mathematics from the University of Münster. The main focus of her research is model reduction for partial differential equations and randomized algorithms for numerical simulations. 

 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

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Symposium Big Data

4TU-AMI Big Data symposium

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.

Title: Reducing dimensions in Big Data: Model Order Reduction in action.
Date: June 8, 2018
Location: Utrecht BCN (Central Station, Catherijnesingel 48).

Programme:
13:30 hrs.: Wil Schilders
                  "Combining traditional modelling, model order reduction and big data"
14:00 hrs.: Zoi Tokoutsi
                  "Real-time Optimization of Thermal Ablation Cancer Treatments"
14:30 hrs.: Break
14:45 hrs.: Kathrin Smetana 
                  "Randomized model order reduction"
 15:15 hrs.: Jacquelien Scherpen
                   "Structure preserving order reduction of networked linear systems"  
15:45 hrs.: Break
16:00 hrs.: Panel discussion
16:45 hrs.: Closing and drinks

SPEAKERS: 
Wil Schilders studied Mathematics, with Physics and Astronomy, at Radboud University in Nijmegen, The Netherlands, from 1974-1978, and obtained his PhD from Trinity College Dublin in 1980. From 1980-2006 he worked at Philips Research, mainly on mathematical software, and from 2006-2010 at NXP Semiconductors. Since 1999, he was also a part-time professor at TU Eindhoven on scientific computing for industry. In 2010, he moved to TU Eindhoven, and also became the director of the Platform Wiskunde Nederland. He has been active within the European Consortium for Mathematics in Industry (ECMI), chairing the Research and Innovation Committee. Since 2015, he is also president of EU-MATHS-IN, the European Service Network of Mathematics for Industry and Innovation (www.eu-maths-in.eu).  More information: http://www.win.tue.nl/~wschilde/.  

 Zoi Tokoutsi is a Marie Curie research fellow in the AdapTT European Industrial Doctorate (EID) program. AdapTT is a collaboration project between Philips Research, the RWTH University Hospital, and the AICES graduate school. The focus of the project lies on the development of biophysical models, experimental validation procedures, and the development of planning and guidance tools for radio-frequency based ablation treatments. Zoi is working on reduced basis methods for the construction of real-time efficient and quantifiably accurate surrogate models in ablation treatment planning. She is currently in the final stages of her PhD.  

 Kathrin Smetana is Assistant Professor at the Department of Applied Mathematics at the University of Twente. Prior to that appointment she worked as a postdoctoral associate in the Group of Professor Mario Ohlberger in the Department of Applied Mathematics at the University of Münster, Germany and in the Group of ProfessorAnthony T. Patera in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, United States. Smetana holds a PhD in Mathematics from the University of Münster. The main focus of her research is model reduction for partial differential equations and randomized algorithms for numerical simulations. 

 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

4TU-AMI Big Data symposium

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.

Title: Reducing dimensions in Big Data: Model Order Reduction in action.
Date: June 8, 2018
Location: Utrecht BCN (Central Station, Catherijnesingel 48).

Programme:
13:30 hrs.: Wil Schilders
                  "Combining traditional modelling, model order reduction and big data"
14:00 hrs.: Zoi Tokoutsi
                  "Real-time Optimization of Thermal Ablation Cancer Treatments"
14:30 hrs.: Break
14:45 hrs.: Kathrin Smetana 
                  "Randomized model order reduction"
 15:15 hrs.: Jacquelien Scherpen
                   "Structure preserving order reduction of networked linear systems"  
15:45 hrs.: Break
16:00 hrs.: Panel discussion
16:45 hrs.: Closing and drinks

SPEAKERS: 
Wil Schilders studied Mathematics, with Physics and Astronomy, at Radboud University in Nijmegen, The Netherlands, from 1974-1978, and obtained his PhD from Trinity College Dublin in 1980. From 1980-2006 he worked at Philips Research, mainly on mathematical software, and from 2006-2010 at NXP Semiconductors. Since 1999, he was also a part-time professor at TU Eindhoven on scientific computing for industry. In 2010, he moved to TU Eindhoven, and also became the director of the Platform Wiskunde Nederland. He has been active within the European Consortium for Mathematics in Industry (ECMI), chairing the Research and Innovation Committee. Since 2015, he is also president of EU-MATHS-IN, the European Service Network of Mathematics for Industry and Innovation (www.eu-maths-in.eu).  More information: http://www.win.tue.nl/~wschilde/.  

 Zoi Tokoutsi is a Marie Curie research fellow in the AdapTT European Industrial Doctorate (EID) program. AdapTT is a collaboration project between Philips Research, the RWTH University Hospital, and the AICES graduate school. The focus of the project lies on the development of biophysical models, experimental validation procedures, and the development of planning and guidance tools for radio-frequency based ablation treatments. Zoi is working on reduced basis methods for the construction of real-time efficient and quantifiably accurate surrogate models in ablation treatment planning. She is currently in the final stages of her PhD.  

 Kathrin Smetana is Assistant Professor at the Department of Applied Mathematics at the University of Twente. Prior to that appointment she worked as a postdoctoral associate in the Group of Professor Mario Ohlberger in the Department of Applied Mathematics at the University of Münster, Germany and in the Group of ProfessorAnthony T. Patera in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, United States. Smetana holds a PhD in Mathematics from the University of Münster. The main focus of her research is model reduction for partial differential equations and randomized algorithms for numerical simulations. 

 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