Dr Mustafa Aziz

University of Exeter - Modelling Engineering & Development Company Limited

Coiled tubing integrity monitoring system

This collaborative project aims to develop a real-time, non-destructive monitoring system for the inspection of coiled-tubing steel pipes in the oil and gas well services industry. This tool will provide early warning of failure in the pipes to avoid environmental and health risks and enable efficient management of coiled-tubing operations.



Dr Solomon Brown

University of Sheffield - Drax Coporate Limited

Unlocking the potential of bio-energy with carbon capture and storage (BECCS) in the UK

The UK has agreed to reduce net emissions to zero by the second half of the century. For sectors that are challenging to decarbonise, net-negative emissions such as BECCS present a potential solution. Dr Brown’s research investigates how to develop an economically sustainable path of deployment for this key technology.



Dr  Mohammed El-Hajjar

University of Southampton - InterDigital

Intelligent holographic MIMO transceiver design for next generation wireless systems

The demand for wireless access will soon surpass the data transfer capacity of existing mobile systems. Wireless systems use the available degrees of freedom of frequency, time, code and space. Dr El-Hajjar will investigate the design and analysis of holographic multiple-input and multiple-output (MIMO) using the space dimension to reduce complexity and cost.



Dr Raziyeh Farmani

University of Exeter - Severn Trent Water

Digital solutions for resilient urban water systems

Advances in sensors and data management allow water infrastructure decisions to be more targeted and guided by information about systems’ performance. Professor Farmani’s research develops analytical tools to analyse big data from smart sensors, identifies vulnerabilities and informs infrastructure planning, design, operation and management decisions to improve resilience.



Dr Mehreen Gul

Heriot-Watt University - Wood

Characterisation of bifacial photovoltaic (BPV) modules

Solar power system manufacturers provide electrical parameters at standard-test conditions. This is not helpful in estimating actual energy yield owing to their intrinsic non-linear electrical behaviour and variability in environmental conditions. Dr Gul is developing a methodology for predicting BPV performance in real conditions, accounting accurately for rear-side, ground-albedo and electrical characteristics.



Dr Basel Halak

University of Southampton - Arm Holdings

Securing hardware supply chain with an unforgeable root of trust

Dr Halak creates infrastructures to enforce reliable tracking of electronic systems that mitigate against hardware attacks. This will be achieved by building a detailed threat model of the integrated circuits supply chain. It also involves designing an unforgeable root of trust for each computing device and developing new security defence mechanisms.



Dr Mike Jennings

Swansea University - Newport Wafer Fab

Novel power transistors for automotive application

The most efficient electric vehicles will be based on silicon carbide (SiC) or gallium nitride (GaN) transistors (replacing silicon) in power electronic converters. Drawing on 15 years’ experience in this field, Dr Jennings will work with a global leader in chip manufacture to develop SiC and GaN devices for automobiles.



Dr Jongrae Kim

University of Leeds - Craft Prospect Ltd

Develop automated systems engineering procedure for CubeSat design and analysis

CubeSat is a micro satellite, and its small mass and size make it ideal for performing space missions at minimal cost. Dr Kim aims to develop automated design and analysis algorithms using model-based systems engineering. These will generate detailed system specifications and design requirements to optimise design parameters and improve the autonomy of CubeSat.



Dr  Abhishek Kundu

Cardiff University of Southampton Airbus Operations Limited

Data-driven robust optimisation of aircraft wings in early stage design

Early stage industrial design of aircraft wings can be challenging owing to the uncertainties that stem from design immaturity and sparse aircraft loading information. In collaboration with Airbus, Dr Kundu will use industrial mathematics to develop a data-driven, robust inverse design solution based on machine learning.



Dr Andrea Lecchini-Visintini

University of Leicester Rolls-Royce Control Systems

Fueldraulic actuation systems for the next generation of turbofan engines

The fueldraulic (fuel-based hydraulic) system of Rolls-Royce turbofan engines performs the actuation of the variable geometry of the engine. Next generation engines are expected to be 25% more fuel efficient and their systems will include multiple parallel actuators. This project focuses on control laws for these new enhanced systems.



Dr Mathieu Lucquiaud

University of Edinburgh - C-Capture Ltd

Innovation in technologies for carbon dioxide capture

This collaboration aims to demonstrate a new concept for large-scale deployment and cost reduction of carbon dioxide absorbers, the largest component of the carbon dioxide capture process. Dr Lucquiaud also aims to increase the flexibility of capture to complement variable renewable energy in low-carbon energy systems.



Dr Stefanos Aldo Papanicolopulos

University of Edinburgh - DEM Solutions Ltd

Discrete-element modelling of elongated cylindrical particles

Particulate materials are ubiquitous in nature and in industry. Their numerical simulation is increasingly performed using the discrete element method, usually considering spherical particles. This is unrealistic for elongated particles such as fibres. Dr Papanicolopulos’ research will offer more efficient methodologies for modelling through detailed consideration of implementation, validation and calibration.



Dr Mehrnoosh Sadrzadeh

University College London Research and Development, British Broadcasting Corporation

Cross domain unified representations for content similarity

Dr Sadrzadeh’s research allows vast quantities of data from radio, news articles and TV programmes to be categorised and analysed using advanced mathematical theory and computational methods. She aims to develop a unified mathematical model to represent this data, compute degrees of similarity and correlate these with users' behaviours and preferences.



Dr Elena Simone

University of Leeds - Syngenta

A multi-sensor approach to design and control of multiphase/multicomponent crystallisation processes

Dr Simone is developing a robust multi-sensor approach that integrates signals from multiple online and offline measurements to better understand and control multiphase/multicomponent crystallisation processes. In collaboration with Syngenta, Dr Simone is working on real, complex crystallisation processes to develop an approach that is directly applicable in industry.



Dr Eirini Velliou

University of Surrey - Unilever Ltd

Development of next-generation 3D reconstructed human skin

This collaborative project aims to engineer a bio-inspired 3D human skin equivalent. A novel ‘skin-bioreactor’ with tuneable structure and perfusion will be made and then validated by using transdermal permeation studies of Unilever products. The skin bioreactor will serve as a low cost, animal-free skin surrogate for cosmetics screening.



Dr Kit Windows-Yule

University of Birmingham - Recycling Tehnologies

Optimising heat and particle transport in novel waste-plastic recycling processes

Plastic waste represents a global challenge. Dr Windows-Yule is developing a novel plastic-waste-recycling technology that uses fluidised beds to convert waste plastics into new feedstocks and clean, low-sulphur fuels. Using cutting-edge techniques, this project will enable direct imaging of the dynamics of these systems to help make them more efficient.



Dr Liu Yang

University of Strathclyde - The Weir Group PLC

A paradigm shift towards non-metallic centrifugal slurry pumps

Dr Yang is developing a new design methodology underpinned by non-metallic lightweight composite technology for the next generation of centrifugal slurry pumps in the mining industry. Collaborative research will drive scientific and industrial advances towards highly efficient centrifugal pumps with improved safety, low production costs and extended lifetime.



Dr  Hexin (Johnson) Zhang

Edinburgh Napier university - Intelligent Wood Systems Ltd

Innovative engineered bamboo-timber composite materials

Based on a successful proof-of-concept study, Dr Zhang’s project aims to develop several types of innovative bamboo-timber composite beams for buildings. The knowledge and industrial experience obtained from this research will inform teaching materials to give students first-hand industrial experience.



Dr Huiling Zhu

University of Kent British Telecom Group

Machine learning techniques for future mobile networks

Dr Zhu’s research interests are focused on wireless communications, including radio resource management, massive MIMO, device-to-device communications, machine learning, Cloud RAN (an architecture for cellular networks), and heterogeneous networks.





Dr Federico Alberini

University of Birmingham

Johnson Matthey (JM)

Use of Advanced Diagnostic Data for Complex fluid Process Scale-up



Dr Halim Alwi

University of Exeter

Prismatic Ltd

Flight Control for High Altitude Long Endurance UAV





Dr Madeleine Bussemaker

University of Surrey

Arcadis UK Ltd / CE Geochem

Ultrasonic Degradation of Per- and Poly-Fluoroalkyl Substances (PFAS)

Use of Advanced Diagnostic Data for Complex fluid Process Scale-up




Dr Matteo Ceriotti

University of Glasgow

Alba Orbital Ltd

Attitude determination and control for PocketQube picosatellites

Use of Advanced Diagnostic Data for Complex fluid Process Scale-up




Dr Abigail Hathway

University of Sheffield

Ove Arup and Partners

Model Predictive Control for Low Energy Building Operation



Dr Matthew Himsworth

University of Southampton

Defence Science Technology Laboratory

Quantum Sensing in Dynamic Environments



Dr Zafer Kazanci

Queen's University Belfast

Bombardier Aerospace

Low-velocity impact analysis of composite sandwich panels utilising auxetic cores





Dr Alistair McIlhagger

University of Ulster


MODATexMulti-Optimisation and Development of Advanced Textile Composites



Dr Hui Yu

University of Portsmouth

Emteq LtD

Dynamic Facial Expression Reconstruction from Upper Half-Face Data





Dr Abby Megan Jayne Paterson

Loughborough University

Central Scanning Limited

Industrial Fellowship researching Quality of Additive Manufactured Parts and Service

Awardee Profile (191.19 KB)

Dr Birgit Painter

De Montfort University

Pick Everard

Integrated Building Performance Evaluation: Practical Assessment of Management Tools

Awardee Profile (186.97 KB)

Dr Christie Maddock

University of Strathclyde

Orbital Access Ltd

Preliminary Design of a UK Small satellite Launch System

Awardee Profile (191.21 KB)

Dr Dimitrios Gerogiorgis

University of Edinburgh

Molson Coors Brewing Company Ltd

Data Analytics for High-Performance Multiobjective Beer Fermentation and Filtration Optimisation

Awardee Profile (160.36 KB)

Dr Indika Dinesh Bandara Pamunuwa

University of Bristol

Microsemi Semiconductor Ltd

Nanoelectromechanical Relay-Based Electronics

Awardee Profile (268.14 KB)

Dr James Ernest Green

University of Sheffield

Controlled Power Technologies LTD

Advanced Electronic Instrumentation Systems for Electric Vehicle Motors and Generators

Awardee Profile (238.11 KB)

Dr Kevin Briggs

University of Bath

Network Rail

Industrial Fellowship in Railway Infrastructure Resilience

Awardee Profile (187.70 KB)

Dr Mehrnoosh Sadrzadeh

Queen Mary University of London

British Broadcasting Corporation Research and Development

Vectors and Tensors for Textual Understanding of Subtitles and News

Awardee Profile (192.42 KB)

Dr Robert William Hewson       

Imperial College London

Airbus, part of the Airbus Group

Design Optimisation of 3D Printed Hierarchical Structures

Awardee Profile (182.21 KB)

Dr Zhenyu Zhang

University of Birmingham

DuPont Teijin Films

Nanotechnology Enabled Polyester Film Production

Awardee Profile (199.16 KB)