You are here:  

• Print

Current Projects

This project aims to cut the number of stillbirths by examining blood flow through the placenta.

---

 

The overarching objective of this project is to develop and embed intelligent algorithms as risk calculators to enable the company’s system (Intellin) to predict an individual's risk of disease progression and give specific information on ways they can manage and reduce their risk. Enhanced prognostics will enable GPs and HCPs to work more closely with patients and provide targeted advice based on the predictive capacity of Intellin.

---

 

To develop advanced data analytics methodology to provide structured and risk-modelled cost forecasts of new construction and refurbishment projects.

---

 

This fellowship addresses the challenges in automated design of heuristic algorithms in combinatorial optimisation. With a platform built upon a novel consistent model, which serves as the first standard defining different algorithms, effective heuristic algorithms can be engineered quickly and automatically. Scattered knowledge of algorithm design can thus be retained in consistent datasets for machine learning, sustaining reusable expertise across research and applications.

---

 

This is a collaboration with  the University of Edinburgh and the University of Southampton. Imagine a world where walking through a revolving door or archway allows "invisible light" (light outside our normal visual range) to generate detailed 3D images of any patient with high resolution! This is the global vision and targeted ambition of this 2050 proposal. This will allow us to target very early detection of disease using light (referred to as a non-ionising radiation technology) in association with fast computational methods and artificial intelligence (AI) to reconstruct images. This will be transformative, is a practical reality, and in addition potentially offers unique treatment options for the healthcare needs of 2050.

---

 

After the constantly growing utilisation of electric power for non-propulsive aircraft systems, the next-generation aircraft tends to be based at a great part on electrification. This solution offers significant advantages such as a reduction in aircraft weight, fuels and total life costs, increased reliability, and easier maintenance. Towards the transition to a much more-electric aircraft, the EU-funded ORCHESTRA project aims at developing and delivering a holistic framework of innovative, modular, scalable 'building blocks' that incorporate emerging technologies and groundbreaking design ideas. The COL Lab component of this project involves utilising optimisation and automatic controller synthesis techniques to aid in system design and development.

---

 

To develop a demonstrator for a hybrid electric aircraft suitable for commercial passenger use and evaluate the use of such an aircraft for commercial passenger use. The COL Lab element is to build a simulation of the airline, airports and airspace to allow the evaluation of different approaches for utilising the smaller hybrid-electric aircraft in point-to-point networks to gain connectivity across the UK, replacing larger aircraft in hub-and-spoke networks.

---

 

To unlock business value from big data by building predictive models to guide faster decision-making and to develop business systems efficiently and with sustainability at the core.

---

 

As more and more systems on aircraft become electrical, it becomes increasingly important to optimally control systems in the case of generator failures, to safely manage any overloads. This project developed a supervisory controller to manage other controllers to coordinate the handling of overloads, utilising different sources of stored power along with strategic reduction of power to low priority loads, ensuring safety of aircraft even in extreme situations. By guaranteeing to quickly manage overloads, the over-sizing of generators can be reduced, reducing generator and aircraft weight, and contributing to the move towards greener aviation.

---

 

Accelerated Discovery and Development of New Medicines. Prosperity Partnership for a Healthier Nation: GlaxoSmithKline, University of Strathclyde with University of Nottingham

Investigators

• Peter Licence (UoN PI)
• (UoN CI's) - Christopher Moody, Clive Roberts, Ender Ozcan, Hon Lam, Jonathan Hirst, Liam Ball, Michael George, Michael Stocks, Ricky Wildman, Ross Denton, Simon Woodward, Victor Sans Sangorrin
• Project Partners - Added Scientific Ltd, GlaxoSmithKline plc (GSK), Key Organics Ltd, Perceptive Engineering Ltd, Strem Chemicals UK Ltd.

This Prosperity Partnership aims to build on existing vibrant collaborations between GSK and the Universities of Nottingham and Strathclyde. The strengths of each partner will be leveraged to deliver a new suite of methods and approaches to tackle some of the major challenges in the discovery, development, and manufacture of medicines. Our vision is to increase efficiency in terms of atoms, energy, and time; resulting in transformative medicines at lower costs, reduced waste production, and shorter manufacturing routes. 

---

 

A multi-disciplinary CDT in sustainable chemistry which aims to achieve a sustainable pipeline of performance molecules from design-to-delivery. A2P will create an Integrated Approach to Sustainable Chemistry, promoting a culture of waste minimisation, emphasising the development of a circular economy in terms of materials and matter replacing current modes of consumption and resource use.

Project Partners: Added Scientific Ltd, Arcinova, AstraZeneca UK Limited, BEACON Bioeconomy Research Centre, Britest Limited Bruker, CatScI Ltd, Coal Authority, Coventive Composites, Croda (Group), Enlumo Ltd, European Thermodynamics Ltd, eventMAP Ltd, Friedrich-Alexander Uni of Erlangen FAU, GlaxoSmithKline plc (GSK), IUPAC, James I University (Jaume I), Key Organics Ltd, Lubrizol Ltd, McGill University, Pontifical Cath Uni of Rio Grande do Sul, Promethean Particles Ltd, Sygnature Discovery Limited, Synthomer Ltd Thomas Swan, UNIDO, Unilever (UK), Yale University Added Scientific Ltd, GlaxoSmithKline plc (GSK), Key Organics Ltd, Perceptive Engineering Ltd, Strem Chemicals UK Ltd and more.

---

 

 

Modern aeronautical structures are increasingly made of composite materials due to their well-known benefits. Optimizing the design of aerospace composites vis-à-vis the entire range of operational constraints (i.e. reliability, stability, strength, weight, noise, manufacturability and cost) to which the aircraft structures are subject, results in a particularly challenging task for the structural designer. Despite the volume of recent work dedicated to new Multidisciplinary Design Optimization (MDO) models and techniques, the ‘No free lunch theorem in optimisation’ is constantly confirmed.

A genuine need is therefore identified for a programme that will: i) Develop, deliver and implement novel and efficient structural MDO technological tools for the European aerospace industry, ii) Nurture and train the next European generation of MDO research professionals. OptiMACS has an intersectoral character, drawing know-how from both academic and industrial research and innovation teams. It also has an intensely multi-disciplinary character, coupling expertise from mechanical, aerospace, manufacturing and software engineering, as well as from the area of applied mathematics.

On the research side, OptiMACS will focus on improving the accuracy and efficiency of the MDO platform currently employed by AIRBUS. This will be achieved by enhancing the design models and criteria related to composites failure and manufacturing, developing and implementing multiscale models for composites as well as investigating advanced MDO algorithms and architectures for enhancing efficiency.

On the training side, OptiMACS will provide a fully supportive environment for 5 ESRs. A training programme aiming at developing both the research as well as the transferable skills of the Fellows has been designed. All Fellows will have the opportunity to work in a multi-disciplinary environment, spending at least 50% of their time at the premises of the industrial beneficiaries.  

---

 

 

The TSAT system was developed by Nottingham for Heathrow Airport in 2008. An ongoing support and enhancement project started in 2012 and has been running ever since, enhancing the system to take account of new facilities and ongoing innovations and improvements at the airport. The system has been running live at the airport since 2013, and generates the predicted take-off times which aided the airport in becoming A-CDM compliant.