KE Hub Triage Workshops

Upcoming KE Hub Triage Workshops


KE Hub triage workshops are online scoping sessions that take place on Friday mornings that allow an organisation to discuss current challenges in an informal online setting with university-based mathematical scientists drawn from our academic partners across the UK. During each triage workshop, organisations have the opportunity to present a business or operational issue they are currently facing. 

Academics from our partner mathematical sciences departments are invited to participate. If you would like to take part, please contact your local KE Champion for the Teams link. You can find a list of our KE Champions here.

For more information about arranging a triage workshop with the KE Hub please click here.

Here are the details of our upcoming and past KE Hub triage workshops:

Friday 26th July 2024DstlTitle tbc


Friday 12th July 2024easyJetTitle tbc


Friday 14th June 2024SLBPhysics informed surrogate models for nonlinear partial differential equations with variable coefficients
SLB is presenting a problem around modelling fluid flow in heterogeneous porous media. A method is introduced in which a commercial fluid flow simulator can be used to compute the loss function while training a PIML model. The aim is to compute the loss function accurately using the physical implementation available within the numerical simulator without explicitly coding any physical constraints in the network.


Friday 31st May 2024The Vita GroupUsing pressure mapping, heat dissipation and indentation to determine a comfort rating for mattresses
The Vita Group is a manufacturer of polyurethane foam which is commonly used in mattresses. They would like help to analyse and interpret the data we collect from their testing facility, linking the various foam properties together and creating a comfort rating and are open to the use of mathematical modelling to determine the properties of different types of foam.


Friday 17th May 2024Sopra SteriaOptimising TV Audience Engagement and Media Strategies
Sopra Steria is a European-based consulting, digital services, and software development company with 50,000 consultants. The main objective of this research problem is to maximise viewership of new programmes through optimal scheduling of promotional spots.


Friday 3rd May 2024Maypole EducationFinding the optimal path in a simple kids maths game
Stick and Split is a very simple, ingenious online game that helps children learn times tables. But it has some surprising complexity too. We need to find a way to solve the game by a quick algorithm that is more efficient than a child playing the game. Sounds easy, but the solution has eluded us.

Can you help? If you can help, we will be able to better judge whether children are making good or bad moves as they play. This will then help us assess how and whether the game is helping children learn, which is the subject of wider research at the University of Loughborough Maths Education Centre.


Friday 19th April 2024Edinburgh AirportEdinburgh Airport Security Queueing Layout Optimisation
Edinburgh Airport is undergoing upgrades to its security hall, presenting the chance to rethink the layout and design of the queueing area. Retractable belt barriers are currently used to organise queues from the eGates, guiding passengers towards the security lanes. While the barrier poles remain fixed once installed, the retractable belts are able to dynamically define the shape of the queue and are adjusted to either close or open lanes depending on the level of passenger demand.

This project offers an opportunity to determine the best placement for the poles, which remain fixed once installed, and the optimal configuration of the retractable belts, which can be changed throughout the day if required. Optimal pole placement should aim to maximize the utilisation of available queueing floor space while minimising the number of adjustments needed for the retractable belts to manage lane closures or openings.


Friday 5th April 2024VironixPredictive modelling of chronic kidney disease progression: Identifying high-risk patients approaching end-stage renal disease
Chronic Kidney Disease (CKD) is a major public health problem with silent disease progression. Gradual decline in kidney function in CKD patients can lead to End Stage Renal Disease (ESRD) requiring kidney transplants. Early intervention in CKD patients can lead to an improved quality of life by slowing down the progression of CKD and healthcare expenses. Predictive models can aid in identifying patients requiring intensive management of CKD (e.g. through higher doses of medication) as well as provide insights on how to manage and screen outpatients with CKD.

Patients with CKD can be classified into stages (stage 1 to stage 5/ESRD) based on their kidney function and protein in the urine. This project will focus on developing machine learning models to predict the progression of CKD from one stage to the other using a cohort-based analysis, each cohort defined by the CKD stage of patients at baseline. By using a dataset(s) encompassing demographic details, clinical parameters, laboratory results, we would like to identify the critical factors and patterns that contribute to the advancement from one CKD stage to the next, especially targeting the progression to ESRD.

The primary outcome of this project will be a predictive model that can assist in identifying high-risk patients at an early stage, enabling timely and targeted interventions to slow the progression of CKD and improve patient outcomes.


Friday 22nd MarchElkemModelling the movement of fines through a heated reactor
Elkem is looking to gain insight into particle movement and residence time in upcoming experiments related to its silicon production process. We suggest a toy problem to represent this approach. A cylindrical reactor (~500mm height, ~100mm radius) is filled with a mixture of particles (~ 1 to 10mm). The reactor is heated up to a set temperature (~1750°C), which will promote chemical reactions between the raw materials to produce a product. The heating process will result in chemical transformation, sintering, volume expansion, and disintegration into smaller particles. During the process, the product is removed from the bottom of the reactor and additional particles are added to the top. The movement of the particles down the reactor is key to determining the residence time inside the reactor.

Elkem would like to use mathematical modelling to determine the movement of particles throughout the height of the reactor. We are also interested in the temperature of the materials inside the reactor and how solid velocity can impact this. The specifics of the materials have been excluded since modelling the chemical reactions between them is not of interest for this problem.


Friday 8th March 2024Moody’s AnalyticsLimit laws for stochastic cumulative transition matrices
Let X= (X(t): t=1,…,T) denote a discrete Markov chain of N×N complex matrices, where X(1),…,X(T) are not necessarily independent or identically distributed. What can we say about the distribution of the eigenvectors and eigenvalues of Y(T)=X(1)X(2)…X(T)? For example, under what conditions can we expect a Central Limit Theorem-type result to hold for log(Y(T))/T as T tends to infinity?

The question is motivated by the need to understand the distribution of:

  • cumulative transition matrices in credit models where the one-period stochastic transition matrices are serially correlated;
  • cumulative conditional transition matrices where the conditioning variables are stochastic and serially correlated.

For more information please click here.

KE Hub Triage workshops are offered exclusively to members of our Business, Industry and Government (B.I.G) Partnership. Click here to check if your organisation is already a member. If your organisation is not currently a member, you can sign up for free here.