About the event

The Knowledge Exchange Hub for Mathematical Sciences (KE Hub) Working Group on Optimal Control and Scientific Computing unites UK-based companies with leading academic experts from 26 mathematics departments to tackle complex challenges in modelling, simulation, optimisation, and decision-making across a wide range of sectors.

Current members of this Working Group include University College London, the University of Warwick, the University of Nottingham, the University of Oxford, Imperial College London, the University of Edinburgh, and the University of Manchester. Industrial members include Unilever, the Defence Science and Technology Laboratory (Dstl), and BodyAspect, as well as the UK Atomic Energy Authority, Moody’s, the Cadillac Formula One Team, and Wieldmore.

The group focuses on real-world challenges that demand cutting-edge research and computational methods, such as in the development of digital twins, optimal control strategies, multi-physics modelling, large-scale numerical computation, and simulation acceleration using scientific machine learning.

Impactful applications of advanced computational mathematics span a wide variety of sectors, including:

• Advanced manufacturing (e.g. computational modelling, process engineering, digital twins, energy management)
• Mathematical biology and life sciences (e.g. in silico experiments, tumour growth)
• Risk assessment (e.g. for finance and insurance)
• Environmental modelling (e.g. weather forecasting, climate simulation, geophysical flows)
• Novel numerical methods for large-scale industrial applications (e.g. efficient solvers, high-dimensional optimisation, data assimilation)

Examples of skills and expertise that your organisation may access through the Working Group:

• Agent-based modelling and game theory
• Computational fluid dynamics (multiscale/multiphase, compressible, MHD, etc.)
• Complex geometries, moving interfaces, and free boundaries
• Computational solutions of differential equations (PDEs, SDEs, etc.)
• High-performance computing and software design
• Machine learning (for PDEs, reinforcement learning, etc.)
• Numerical linear algebra
• Mathematical finance
• Optimal control (computational methods, modelling, analysis)
• Optimisation (nonlinear, large-scale, shape optimisation, PDE-constrained, etc.)
• Uncertainty quantification and random systems

Speakers

We will be joined by these members from the Working Group:

• Max Jensen, Associate Professor in Applied Mathematics, University College London
• Dr Susana Gomes, Associate Professor, University of Warwick
• Graham Hutton, Director, Body Aspect Ltd
• Dr Dawn Geatches, Knowledge Transfer Manager ‑ Mathematical Sciences, Innovate UK Business Connect

Who should attend?

This webinar would be relevant for C-Suite Executives (CEO, Chief Operations Officer, Chief Technology Officer, Chief Scientific Officer) as well as business managing directors, innovation leads, Heads of, strategy and thought-leaders and owners / founders.

Professors, technical programme managers, scientific directors and programme leaders, data scientists, policy decision-makers and software pioneers are also welcome.

Why attend

By participating in this event, delegates will have the chance to:

• Learn about the Knowledge Exchange Hub for Mathematical Sciences (KE Hub) Working Group on Optimal Control and Scientific Computing
• Develop collaborations in industrial challenges and investigate opportunities.
• Connect with the Innovate UK ecosystem
• Potentially build valuable connections

If your organisation faces challenges in modelling, simulation, or control and would benefit from access to world-class expertise and prospective partnerships – then this webinar is for you.