Workshop: “Reducing Dimensions and Cost for UQ in Complex Systems Isaac Newton Institute”

Workshop: Reducing Dimensions and Cost for UQ in Complex Systems
Isaac Newton Institute, Cambridge
5 – 9 March 2018

https://www.newton.ac.uk/event/unqw03

Registration for this workshop is open through to January 3, 2018.

Organizers:
Francisco Alejandro Díaz De la O, University of Liverpool, UK, f.a.diazdelao@liverpool.ac.uk
James Gattiker, Los Alamos National Laboratory, gatt@lanl.gov
Gianluigi Rozza, SISSA International School for Advanced Studies Trieste, Italy, gianluigi.rozza@sissa.it
Elisabeth Ullmann, Technical University of Munich, Germany, elisabeth.ullmann@ma.tum.de

Uncertainty quantification (UQ) in complex mathematical models is a huge computational challenge for many reasons. Simple UQ tasks such as the estimation of statistical properties of system outputs often require multiple calls to a deterministic solver. A single solver call is already very expensive for complex mathematical models. Advanced UQ tasks such as sensitivity and reliability analysis, parameter identification, or optimal control and design often involve several layers of increasing complexity where each layer requires the performance of a specific UQ task. This workshop will address efficient numerical and statistical methods for reducing the overall cost of solving discrete problems that arise in UQ studies, focusing on methodologies that reduce the dimension of the problems to be solved.

Talks will be organised around topics such as: multilevel and multifidelity methods; reduced basis methods; dimension reduction strategies; low rank and tensor methods; challenges in Gaussian process emulation, and active subspaces. Workshop speakers and participants will be encouraged to explore connections between these topics. There will also be two contributed poster presentations. Please indicate on the registration form if you are interested in presenting a poster. A limited amount of funding may be available to support PhD students.

Please see the workshop webpage soon updated with a list of speakers and tentative titles, and already updated for registration details.

This workshop is the third event in a six-month programme on Uncertainty Quantification at the Isaac Newton Institute:
https://www.newton.ac.uk/event/unq
Organizers: Peter Challenor (University of Exeter), Max Gunzburger (Florida State University), Catherine Powell (University of Manchester), Henry Wynn (London School of Economics)

Workshop: Reducing Dimensions and Cost for UQ in Complex Systems

Workshop: Reducing Dimensions and Cost for UQ in Complex Systems
Isaac Newton Institute, Cambridge
5-9 March 2018

https://www.newton.ac.uk/event/unqw03

Registration for this workshop is open through to January 3, 2018.

Organizers

Francisco Alejandro Díaz De la O, University of Liverpool, UK, f.a.diazdelao@liverpool.ac.uk
James Gattiker, Los Alamos National Laboratory, gatt@lanl.gov
Gianluigi Rozza, SISSA International School for Advanced Studies Trieste, Italy, gianluigi.rozza@sissa.it
Elisabeth Ullmann, Technical University of Munich, Germany, elisabeth.ullmann@ma.tum.de

Workshop Theme

Uncertainty quantification (UQ) in complex mathematical models is a huge computational challenge for many reasons. Simple UQ tasks such as the estimation of statistical properties of system outputs often require multiple calls to a deterministic solver. A single solver call is already very expensive for complex mathematical models. Advanced UQ tasks such as sensitivity and reliability analysis, parameter identification, or optimal control and design often involve several layers of increasing complexity where each layer requires the performance of a specific UQ task. This workshop will address efficient numerical and statistical methods for reducing the overall cost of solving discrete problems that arise in UQ studies, focusing on methodologies that reduce the dimension of the problems to be solved.

Talks will be organised around topics such as: multilevel and multifidelity methods; reduced basis methods; dimension reduction strategies; low rank and tensor methods; challenges in Gaussian process emulation, and active subspaces. Workshop speakers and participants will be encouraged to explore connections between these topics. There will also be two contributed poster presentations. Please indicate on the registration form if you are interested in presenting a poster. A limited amount of funding may be available to support PhD students.

More Information

Please see the workshop webpage soon updated with a list of speakers and tentative titles, and already updated for registration details: https://www.newton.ac.uk/event/unqw03

This workshop is the third event in a six-month programme on Uncertainty Quantification at the Isaac Newton Institute: https://www.newton.ac.uk/event/unq

Organizers: Peter Challenor (University of Exeter), Max Gunzburger (Florida State University), Catherine Powell (University of Manchester), Henry Wynn (London School of Economics)

11 PhD positions in an European Industrial Doctorate

ROMSOC is a European Industrial Doctorate (EID) project in the programme Innovative Training Networks (ITN) and part of Marie Sklodowska Curie Actions within the Horizon 2020 programme. The ROMSOC EID Network brings together 15 international academic institutions and 11 industry partners and supports the recruitment of eleven Early Stage Researchers (ESRs). Each ESR will be working on an individual research project in the host institution with secondments related to their research in other academic and industrial partners of the network. The research is focused on three major topics: coupling methods, model reduction methods, and optimization methods, for industrial applications in well selected areas, such as optical and electronic systems, economic processes, and materials. The ROMSOC EID Network offers a unique research environment, where leading academics and innovative industries will integrate ESRs into their research teams for the training period, providing an excellent structured training programme in modelling, simulation and optimization of whole products and processes.

We seek excellent open-minded and team-spirited PhD candidates who will get unique international, interdisciplinary and inter-sectoral training in scientific and transferable skills by distinguished leaders from academia and industry.

Deadline applications: see the calls (end of November).

The calls for the ESR positions in the ROMSOC project have now been published at the EURAXESS webpage: https://euraxess.ec.europa.eu/jobs/257318

(EURAXESS Job Offer id: 257318)

The following positions are available:

RTC implementation of high-performance algorithms for adaptive optics control
Reference number: ROMSOC-ESR01
Johannes-Kepler Universität, Linz, Austria

Mathematical modelling and numerical simulation of coupled thermo-acoustic multi-layer systems for enabling particle velocity measurements in the presence of airflow.
Reference number: ROMSOC-ESR02
ITMATI, Santiago de Compostela, Spain

FreeForm Optics applications of Optimal Transport Solvers
Reference number: ROMSOC-ESR03
INRIA, Paris, France

Data driven model adaptations of coil sensitivities in MR systems.
Reference number: ROMSOC-ESR04
University of Bremen, Bremen, Germany

Coupling of Model Order Reduction and Multirate Techniques for coupled heterogeneous time-dependent systems in an industrial optimization flow.
Reference number: ROMSOC-ESR05
Bergische Universität Wuppertal, Wuppertal, Germany

Model order reduction for parametric high dimensional models in the analysis of financial risk.
Reference number: ROMSOC-ESR06
Technische Universität Berlin, Berlin, Germany and MathConsult GmbH, Linz, Austria

Integrated Optimization of International Transportation Networks.
Reference number: ROMSOC-ESR07
Friedrich-Alexaner Universität Erlangen-Nürnberg, Erlangen, Germany

Efficient computational strategies for complex coupled flow, thermal and structural phenomena in parametrized settings.
Reference number: ROMSOC-ESR08
ITMATI, Santiago de Compostela, Spain

Numerical simulations and reduced models of the fluid-structure interaction arising in blood pumps based on wave membranes.
Reference number: ROMSOC-ESR09
Dipartimento di Matematica, Politecnico di Milano, Milan, Italy

Coupled parameterized reduced order modelling of thermo-hydro-mechanical phenomena arising in blast furnaces.
Reference number: ROMSOC-ESR10
Scuola Internazionale Superiore di Studi Avanzati di Trieste (SISSA), Trieste, Italy

Optimal Shape Design of Air Ducts in Combustion Engines.
Reference number: ROMSOC-ESR11
Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany

EU-MORNET Workshop: MOR 4 MECHATRONICS (February 2nd 2018)

At the MOR 4 MECHATRONICS 2018, taking place February 2nd 2018 at the Jade University of Applied Sciences in Wilhelmshaven, Germany, internationally renowned experts will report on their recent developments, findings and insight. The workshop will bring together theorists and practitioners working in the area of Model Order Reduction for the system level simulation of mechatronic systems.

Invited Speakers
Wil Schilders (Technical University of Eindhoven)
Peter Benner (Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg)
Boris Lohmann (Technical University of Munich)
Jan G. Korvink (Karlsruhe Institute of Technology)
Evgenii B. Rundhyi (CADFEM GmbH, Munich)
Andreas Zilian (University of Luxemburg)
Gabriela Ciuprina (University of Bucharest)
Frank Naets (KU Leuven)

More information and registration can be found on:
https://www.jade-hs.de/unsere-hochschule/fachbereiche/ingenieurwissenschaften/veranstaltungen/mor-4-mechatronics-2018/

Groningen Autumn School on Model Order Reduction

The Groningen Autumn School on Model Order Reduction is aimed at PhD students with an interest in model order reduction. In addition to discussing standard methods, emphasis will be placed on model order reduction techniques for design and optimisation, data-based model reduction, as well as model reduction for networks of interconnected systems. The school will be held from October 30 to November 2, 2017 at the University of Groningen, Groningen, the Netherlands.
The Groningen Autumn School on Model Order Reduction is organised within the COST action EU-MORNET.

Invited speakers:
Serkan Gugercin (Virginia Tech) and Paolo Rapisarda (University of Southampton). The list of speakers will be appended with local and national speakers.

More information can be found on:
http://www.math.rug.nl/gcsc/morschool.html

Organising committee:
Jacquelien Scherpen, Bart Besselink, Arjan van der Schaft

New joint publications

A new list of joint publications is available!
– As a pdf document
– On this website
– As a .bib file for citations

Reduced Basis (and Friends) Summer School 2017

The Reduced Basis (and Friends) Summer School (RBSS) is an event organized by young scientists for young scientists. It aims at master students and PhD students in the field of Model Order Reduction.

The RBSS 2017 will take place from 19th September to 22nd September 2017 (departure after lunch) at Hotel Hessenkopf, Goslar, Germany. Accommodation is available from 18th September 2017. The workshop will start on September 19th at 9 o’clock.

Research topics in all aspects of model order reduction are welcome, in particular

• Model Order Reduction for Parametrized Systems
• Model Order Reduction for Linear and Nonlinar Systems
• Model Order Reduction in Optimization, Control and UQ
• Reduced-Basis Methods

As the main purpose of this event is to get to know each other, everyone is encouraged to give a talk about their latest results and/or their current research problems.

For further information, please see the webpage of the RBSS2017: www.rbss2017.de

Local Organization team:
Christian Bertram
Heike Faßbender
Anna Sauerbrei
Tanja Schenk

Affiliation:
TU Braunschweig, Institut Computational Mathematics, AG Numerik
https://www.tu-braunschweig.de/icm/numerik

Venue:
Hotel Hessenkopf, Goslar
http://www.hessenkopf-goslar.de/

New open Position (15 months) as Research Associate at SISSA

A new open position (15 months) as research associate at SISSA, International School for Advanced Studies, Mathematics Area, mathLab, Trieste, Italy (mathlab.sissa.it) is available with deadline August 21, 2017: http://www.sissa.it/gare/show_announcements.php?id=2409

The position is in the framework of POR-FESR program 2014-2020 sponsored by Regione Autonoma Friuli Venezia Giulia.
The project is PRELICA:
Numerical Simulation and Reduced Methods for design and optimisation of ship propellers within MARE FVG Technical Cluster, in partnership with Engys, ie-fluids, University of Trieste, and CETENA.

Field of the research activity:
Efficient geometrical parametrisation, reduced order modelling, computational fluid dynamics for naval applications, optimisation, control, data assimilation, shape parametrisation, reduced order methods.

Competences:
mathematical modelling, numerical analysis, scientific computing and programming, CFD.

Durham Symposium on Model Order Reduction

London Mathematical Society — EPSRC Durham Symposium
Model Order Reduction: 7 to 17 August 2017

The LMS-EPSRC Durham Research Symposia began in 1974, and form an established series of international research meetings, with over 100 symposia to date. They provide an excellent opportunity to explore an area of research in depth, to learn of new developments, and to instigate links between different branches. The format is designed to allow substantial time for interaction and research. The meetings are held in July and August, usually lasting for 10 days, with up to 70 participants, roughly half of whom will come from the UK. Lectures and seminars take place in the Department of Mathematical Sciences, Durham University.

Speakers include:
Peter Benner (MPI Magdeburg)
Tobias Damm (Kaiserslautern)
Serkan Gugercin (Virginia Tech)
Bernard Haasdonk (Stuttgart)
Michael Hinze (U Hamburg)
Tatjana Stykel (Augsburg)

For registered participants please visit the website: http://www.maths.dur.ac.uk/lms/107/

Outline
The behaviour of processes in mechanics, engineering, geophysics, tomography, seismic modelling, climate/weather prediction and many other application and research areas is usually modelled by dynamical systems. Such models often involve systems of nonlinear partial differential equations. Their linearisation, and discretisation by means of finite difference and finite element methods, leads to high-dimensional systems of linear ordinary differential equations or difference equations. The number of equations is typically very large and can easily reach a few million. It is therefore at best very time-consuming, and sometimes infeasible, to simulate such systems. The aim of model order reduction (MOR) is to find reduced order models that approximate and reflect the dynamics of the underlying large-scale system accurately, in ways that enable the reduction process to be implemented efficiently.
This symposium will bring together experts in MOR and other related areas and enhance the status of the UK’s research in MOR, and help engineers to solve demanding problems of increasing complexity. The flavour of the presentations will be tutorial style mixed with advanced research presentations. A key aim is to investigate how central ideas in MOR may be applied, or adapted, to other areas of computational mathematics.
Note:
The scientific programme will provisionally start on the morning of August 8th and finish in the afternoon of August 16th.

Travel Information
Useful information about travelling to Durham can be found on the Department of Mathematical Sciences (https://www.dur.ac.uk/mathematical.sciences/contact/) and Durham University (https://www.dur.ac.uk/greenspace/travel/todurham/)

Accommodation
Accommodation for participants will be in Grey College. Guest rooms offer en-suite and internet facilities. Attendance is by invitation only and fees for self-supporting participants are payable by cash, credit card, sterling cheques or sterling travellers cheques at registration.

Organising Committee:
Melina Freitag (Bath), Nick Gould (STFC), Mark Opmeer (Bath) and Wil Schilders (Eindhoven)

Groningen Autumn School on Model Order Reduction

The Groningen Autumn School on Model Order Reduction is aimed at PhD students with an interest in model order reduction. In addition to discussing standard methods, emphasis will be placed on model order reduction techniques for design and optimisation, data-based model reduction, as well as model reduction for networks of interconnected systems. The school will be held from October 30 to November 2, 2017 at the University of Groningen, Groningen, the Netherlands.
The Groningen Autumn School on Model Order Reduction is organised within the COST action EU-MORNET.

Invited speakers:
Serkan Gugercin (Virginia Tech) and Paolo Rapisarda (University of Southampton). The list of speakers will be appended with local and national speakers.

More information can be found on:
http://www.math.rug.nl/gcsc/morschool.html

Organising committee:
Jacquelien Scherpen, Bart Besselink, Arjan van der Schaft