MultiSim is based at the Insigneo Institute for in silico Medicine. Many of the events held at the Insigneo Institute may be of interest to researchers in multi-scale modelling.

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Workshop on Computationally Efficient Modelling & Simulation and its applications

Wednesday, 12 October, 2016

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The advent of easily accessible high-performance computers and numerical techniques such as finite element methods have facilitated precise modelling and simulation of complex systems in a wide range of disciplines such as civil engineering, biomechanics and life science. These highly accurate models are an exciting development, however, they have also created a set of very challenging questions around computational efficiency and effectiveness. To address these challenges, many computationally efficient modelling and simulation techniques have been developed and, are being further refined. Examples of techniques developed over the last few years include reduced-order modelling and surrogate modelling.

Date: 9:30 am to 4:30 pm,Wednesday, 12 October 2016 at Halifax hall in Sheffield,

Aims of this event

This free of charge event aims to bring together, leading experts and early career researchers actively working in the fields of system modelling and simulation in both scientific computing and application areas to:

  • identify suitable numerical approaches that would be able to address the computational challenges arising in complex system modelling and simulation;
  • enhance existing cross-fertilisation between the areas of scientific computing, mathematics, and its real life applications in multiple areas such as medicine, engineering and life sciences;
  • bring about new ideas for the development of novel, fast, and parsimonious numerical solvers;
  • able to answer urgent questions in complex system problems.

    The day will feature:
  • keynote speeches by renowned experts in complex system modelling and simulation;
  • presentations and engaging displays of high-quality research;
  • networking opportunities and one-to-one discussions with  academics and researchers during lunch and refreshments.


Prizes: Abstract submissions will be reviewed by a panel of academic experts. To participate please submit an abstract (instructions below). If your abstract is accepted to the event, you will be invited to present a poster/paper presentation. On the day, the panel will award two prizes of £100 each to best paper and poster presentations. Their research will be featured in Insigneo’s newsletter and website.

We are keen to represent a wide range of research relating to the topic of the Workshop.

The prizes are:

Best paper presentation – £100 Amazon voucher
Best poster presentation – £100 Amazon voucher


Keynote Speakers

Given below is a summary of keynotes we have received so far. Further additions will be made in the next few weeks.

Professor María-Angeles Pérez Ansón
Associate Professor of Structural Mechanics, Department of Engineering, Zaragoza University, Spain
Research interests: Computational Modelling in Mechanobiology (mainly mechanics of hard tissues, design of prosthesis and implants), mechanobiology of skeletal tissue regeneration in healthy and pathological conditions (for example osteoporosis), non-linear finite element analysis and multiscale analysis.
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Professor Wil  Schilders
Professor at the Department of  Mathematics and Computer Science, Technische Universiteit Eindhoven.
Chair of the Scientific Computing in the Industry.
Research Interests: Numerical analysis, Computer systems, architectures and networks, computational science, model order reduction and scientific computing and author to more than 30 peer-reviewed scientific papers.
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View keynote summary 

Professor Richard Clayton
Professor of Computational Physiology  and Head of Computational Biology research group at The University of Sheffield.
Research interests: Heart, with a particular interest in cardiac arrhythmias, ventricular fibrillation,  cardiac electrophysiology, from single cells to whole organ, and how the structure and function at these different scales can be captured in multiscale computational models.
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Registration and abstract submissions


We invite you to complete our event registration form to help us with organising sessions and catering. Please take a quick look at our notes below if you also intend to submit an abstract.

Register at  Computational Efficient Modelling and Simulation Workshop registration form by Friday, 30 September 2016.

Papers and poster submissions
(Deadline for submission of abstracts is  Friday, 30 September 2016)

We are keen to represent a wide range of research relating to the title of our workshop.

Examples of topics we intend to cover (but not limit to) include:

  • Advances in the finite-element modelling and simulation in diverse science and engineering disciplines such as civil engineering, biomechanics, biomedical and life science, and sports.
  • Model order reduction, reduced-order modelling and applications.
  • New developments in surrogate modelling techniques and applications.
  • Statistics, numerical optimisation and/or machine learning based methodology for effective but low-cost modelling and simulation.
  • New parsimonious numerical solvers/computing products.

Format of submissions

  •  You have the option of presenting a paper and/or a poster presentation.
  • Each submission will be reviewed by our academic staff.
  • You are invited to submit an abstract of up to 300 words (excluding images and graphs), upload your abstract as an attachment, the maximum files size is 1MB.
  • Posters should be printed prior to the event and be A1 in size, portrait and in colour.
  • Authors of selected talks and posters will be informed by early October at the very latest.


White Rose Consortium

The White Rose University Consortium is a strategic partnership between 3 of the UK’s leading research universities: Leeds, Sheffield and York. Since 1997 they have built on their individual strengths by collaborating through the White Rose University Consortium to add value from partnership activity in research, enterprise, innovation, and learning and teaching. The Collaboration Fund was launched in October 2008 and designed to support emerging collaborative activities across the three White Rose universities of Leeds, Sheffield and York.

Insigneo Institute for in silico Medicine

The Insigneo Institute is a collaborative initiative between the University of Sheffield and Sheffield Teaching Hospital NHS Foundation Trust, where we develop sophisticated computer simulations of human physiology, in health and disease, in order to improve clinical diagnosis and treatment. With a multi-disciplinary membership of over 140 academics and clinicians, our Institute is Europe’s largest centre dedicated to these activities, in the young discipline known as in silico medicine.


The vision of the EPSRC MultiSim programme based at the Insigneo Institute is to develop a modelling framework focused on the human musculoskeletal system but designed as a generic platform to address other engineering challenges that involve multi-scale modelling, unobservable states and variables, and uncertainty. This project aims to create a new generation of predictive models capable of handling complex multi-scale and multiphysics problems, characterised by uncertain and incomplete information. This will secure the considerable breadth of our vision. The depth of the vision will be achieved by applying such radically new approaches to modelling the musculoskeletal system by integrating all interactions across space-time from the cellular scale up to the whole organism scale, individualised to each patient.



The Reduced-Order Modelling event will be held at the University of Sheffield’s, Halifax Hall, Endcliffe Vale Road, Sheffield, S10 3ER. It is a circa-1840 Victorian mansion in Sheffield that has been transformed into an outstanding and individual boutique hotel. Halifax Hall is located on the west side of Sheffield City Centre and only a short walk from Ecclesall Road, approximately, 10minutes by Taxi from Sheffield Train Station.



Wednesday, 12 October, 2016
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