Dr Euan Allen - University of Bath - Quantum light sources for sensing
Light can be used to measure a wide variety of systems and samples. Dr Allen’s work looks at developing a new type of light source that can be used to reduce the effect of quantum noise and improve the sensitivity or precision of photonic sensors.
Dr Miguel Anaya - University of Cambridge - Photonic engineering of next-generation light-emitting devices
Light drives key physiological functions as well as economic activity. Dr Anaya’s research will combine unique photonic approaches with innovative ways to fabricate state-of-the-art materials to enable a future with inexpensive, ubiquitous and versatile lighting.
Dr Federico Belli - Heriot-Watt University - Hollow-fibre optical parametric light sources (HOPS): a new generation of lasers
Light is a powerful and precise tool to mould or inspect different materials or tissues. Dr Belli’s research will deliver novel light sources based on hollow-fibres with enhanced control, fast tunability and high spectral power across the whole ultraviolet. This will impact semiconductor metrology, molecular spectroscopy, medical and free-electron lasers research.
Dr Adam Berrington - University of Nottingham - Accelerated imaging of metabolism in brain tumours
Altered metabolism is central to brain tumours and their progression. Dr Berrington’s research aims to generate imaging approaches, using novel signal encoding strategies, to rapidly probe metabolism with magnetic resonance spectroscopy. These accelerated techniques may transform our ability to assess brain tumours and their response to therapy.
Dr Mathew Brown - Newcastle University - Exploiting viral ecology to engineer better biological wastewater treatment
Virus–bacteria interactions are ubiquitous in nature, profoundly influencing both microbial dynamics and function. Yet, viruses are a forgotten constituent of engineered systems. Dr Brown will gain a mechanistic understanding of virus–bacteria interactions in wastewater treatment, advancing knowledge in these globally critical systems for human and environmental health.
Dr Alexander Darlington - University of Warwick - Overcoming cellular constraints for real-world engineering of biological systems
Dr Darlington’s research addresses key challenges to the industrialisation of engineered microbes. He is designing new genetic control systems that dynamically balance growth with engineered function to maintain good performance over real-world timescales. Working with industrial partners, he is applying these methods to the sustainable bio-manufacture of high-value chemicals.
Dr Ishara Dharmasena - Loughborough University - Triboelectrically powered super-smart textiles for remote health monitoring
In the future, wearable healthcare technologies will require efficient, autonomous and sustainable energy sources. Dr Dharmasena investigates nanogenerator technology to develop super-smart textiles that use electro-static interactions of textile yarns to generate electricity from human body movements. These smart textiles function as energy generators and self-powered sensors for remote rehabilitation monitoring.
Dr Robert House - University of Oxford - Disordered cathode materials for sustainable batteries beyond Li-ion
Batteries based on Earth-abundant elements can be lower in cost and more environmentally friendly than Li-ion, but they generally do not perform as well. Dr House is developing new cathode materials that leverage structural disorder to provide high metal-ion contents and fast ion-conduction properties for sustainable batteries with improved performance.
Dr Edmund Hunt - University of Bristol - Vigilant robot swarms for secure infrastructure
As robot teams, or ‘swarms’, move from the laboratory into the real world there is a clear opportunity to enhance monitoring of critical national infrastructure. Dr Hunt’s work will focus on how diverse types of robots, in form and behaviour, can contribute to enhanced collective awareness of environments.
Dr Alalea Kia - Imperial College London - Cleared for landing: next-generation permeable infrastructure for resilient airports
Airport infrastructure is vulnerable to disruptions caused by severe weather events, which can cause aircraft to hydroplane. Permeable pavements allow stormwater runoff to flow through otherwise impermeable materials. Dr Kia is developing next-generation permeable pavements that have the strength and resilience for extreme use in airports.
Dr Ashley Lyons - University of Glasgow - Beyond biomimetic imaging
The way in which single photon detectors transmit information bears a striking resemblance to how neurons process data. Dr Lyons’ work uses this concept to build LiDAR sensors that mimic our own eyes and brains as closely as possible and are capable of incredibly fast decision-making as a result.
Dr Ciaran McCreesh - University of Glasgow - Trustworthy constraint programming and optimisation
Constraint optimisation solvers are computer programs used for logistics, scheduling and resource allocation problems. They use intelligent algorithms and it is hard to be sure that they are bug-free. Dr McCreesh is developing new methods to make these programs ‘show their working’, so that their outputs can be trusted.
Dr James McGilligan - University of Strathclyde - Micro-fabricating chip-scale atomic platforms for quantum navigators
Atomic sensors’ scalability limit the potential growth of the quantum technology marketplace. Dr McGilligan’s research is miniaturising quantum technologies by developing micro-fabricated atomic platforms and novel atomic sources to enable a step-change in the portability of atomic-based sensors.
Dr Beatriz Mingo - University of Manchester - Next generation of ceramic coatings for active protection of light alloys
Dr Mingo is developing high-performance smart ceramic coatings that can interact with the environment, responding selectively to certain triggers. Her research has the potential to extend the lifetime of lightweight components used in transport, which will contribute to creating energy-efficient vehicles and guarantee sustainable consumption and allocation of resources.
Dr Lewis Owen - University of Sheffield - Probing local atomic structure in novel chemically complex materials
Increasing industrial demands in emerging energy sectors necessitate the development of new materials; for example, low-activation radiation damage tolerant materials for nuclear fusion applications. Dr Owen’s research focuses on developing novel analytical techniques to explore the local structure–property relationships in novel chemically complex materials.
Dr Ajit Pillai - University of Exeter - A new spatial data paradigm integrating autonomous vessels and models
Offshore renewable energy and offshore engineering rely on accurate characterisation of the marine environment. Dr Pillai’s research explores the development of new techniques to integrate numerical physics-based models with targeted, dynamic measurement campaigns using autonomous vessels to reduce offshore uncertainty and develop a new framework for spatial data.
Dr Rachael Tobin - Heriot-Watt University - Quantum optical detection techniques for high-resolution depth imaging through obscurants
Dr Tobin’s research will investigate the use of state-of-the-art single-photon detection techniques for three-dimensional imaging in challenging environments, such as through high levels of atmospheric obscurants and in extremely low-light conditions. This technology can be used in a variety of applications including security, defence and automotive LiDAR.
Dr Benjamin-Ward Cherrier - University of Bristol - Tactile neuroprosthetics: bridging the gap between artificial and biological touch
Most commercial upper-limb prosthetics currently lack tactile feedback. Dr Ward-Cherrier aims to use biomimetic tactile sensors and algorithms to create prosthetic hands that restore a human-like sense of touch to amputees.
Dr Abby Wilson - University College London - Clinically translatable analysis of corneal biomechanics: towards optimal, patient-customised therapies
Dr Abby Wilson’s research focusses on delivering safe, patient-customised vision correction. She is applying advanced optical imaging methods to map corneal biomechanics and understand the effects of disease and surgical/non-surgical interventions, alongside developing diagnostic imaging tools and new therapies to facilitate personalised treatment of corneal disease and visual abnormality.
Dr Humberto Almeida Jr - Queen’s University Belfast Uncertainty quantification in the design of future composite aerostructures (UQUAFA)
Through UQUAFA, Dr Almeida Jr is developing lighter, more damage tolerant, yet safer, composite aerostructures. Robust computational models will predict the mechanical response of fibre-reinforced composites under damage-inducing loads, accounting for material and manufacturing uncertainties, combined with a physically based damage model that spans across micro-macro scales.
Dr Giorgia Bosi - University College London Engineered patients stratification and therapeutic planning: application to atrial fibrillation
Dr Bosi aims to help cardiologists select the most suitable therapy for atrial fibrillation patients. She is employing pioneering engineering techniques, including statistical shape analysis and computational modelling, to improve risk estimation of developing lethal blot clots in all heart shapes.
Dr Yang Cao - University of Edinburgh Making database systems learn and making them robust
Traditional database systems are based on hard-coded algorithms. Although robust, they need to be tailored for different applications. Dr Cao’s research aims to build new database systems that learn to adapt while keeping the robustness guarantees of a traditional system.
Dr James Ewen - Imperial College London Controlling friction through molecular engineering
Improved lubricants could reduce transportation’s energy consumption by up to a quarter. Through a combination of molecular science and engineering, Dr Ewen is developing methods to rationally design lubricants from the bottom up. The flexible approaches will also be used to optimise fluids for electric vehicles.
Dr Elizabeth Follett - Cardiff University Structure and function of wood jams for natural flood management
Natural flood management measures, including wood installations, can improve physical and ecological resilience and help bodies of water adapt to the impacts of climate change. Dr Follett’s research demonstrates how wood jams and vegetation affect flow and particle transport, developing physically based representations for flood models and design guidance.
Dr Rand Ismaeel - University of Southampton Monitoring of ocean methane through optical fibre isotope detector
Methane is a potent greenhouse gas, which is around 20 times more effective per molecule than carbon dioxide. Dr Ismaeel is developing miniaturised methane sensor that uses optical fibres to quickly and efficiently scan methane levels in the ocean.
Dr Himanshu Kaul - University of Leicester The Lung Pharmacome
Dr Kaul’s research employs computational, experimental and clinical methods to understand how respiratory diseases emerge at an individual level. This programme uses technology to create digital patients and recommends therapies tailored to their profiles with an aim to accelerate precision medicine.
Dr Aurora Maccarone - Heriot-Watt University Underwater three-dimensional optical imaging based on quantum detection
Dr Maccarone’s research investigates state-of-the art quantum detection technologies that produce high-resolution underwater three-dimensional images with extremely low light level return – less than one photon per pixel. This research will help the use of quantum detection technologies in subsea applications, such us survey, inspection and monitoring.
Dr Peter Martin - University of Bristol Transforming the national infrastructure for detecting, characterising and mapping radiation
Threat assessments show that extremist groups have the ambition and means to acquire and use unconventional weapons, including improvised nuclear explosive devices. Dr Martin's research investigates advanced radiation detection materials and deployment systems alongside secure intelligent networks to enhance the safety and security of nuclear and radioactive materials.
Dr Timothy Moorsom - University of Glasgow Active topological plasmonics for computer processors
Optical and infrared waves can be confined to the surfaces of topological insulator as plasmons. By actively controlling the behaviour of these surface states with organic molecules, Dr Moorsom will develop a high-speed, high-efficiency logic device for the next generation of computer processors.
Dr Greg A Mutch - Newcastle University Advancing facilitated-transport membranes for disruptive carbon dioxide separation
Membranes can dramatically reduce the energy requirements of chemical separations but their use at high temperature is limited. Dr Mutch’s research is developing molten-salt membranes that will offer new ways to perform chemical reactions to tackle emerging dilute gas separations.
Dr Auro Michele Perego - Aston University Novel tuneable dissipative optical frequency combs: from visible to mid-infrared
Dr Perego’s research focuses on developing miniaturised optical frequency comb sources with tuneable and controllable properties. Optical frequency combs are optical rulers that offer precise distance and time measurements. They can be used in a variety of technological applications including optical sensing, spectroscopy and optical communications.
Dr Alexander Powell - University of Exeter Electromagnetic metamaterials for enhanced radar detection of small objects
Radar visibility is becoming increasingly important for safety and security in the modern world, from vision in autonomous vehicles to the detection of small drones near sensitive areas such as airports. Dr Powell’s research uses metamaterial physics and advanced manufacturing methods to develop compact, lightweight structures that boost the radar visibility of any hard-to-detect object.
Dr Timothy Runcorn - Imperial College London New fibre optics for advanced biomedical imaging
Advanced biomedical imaging techniques offer a promising non-invasive, intraoperative alternative to biopsies for diagnosing diseases such as bowel cancer. However, they currently require highly complex and expensive lasers, which prevents their widespread use in hospitals. Dr Runcorn is engineering new fibre laser technology to develop cost-effective clinical endoscopes using these imaging techniques.
Dr Nidhi Simmons - Queen’s University Belfast Enabling mission-critical applications through an intelligent URLLC framework
Dr Simmons will lead a research programme that will advance state-of-the-art experimental and machine-learning techniques. The goal is to develop a novel intelligent framework for ultra-reliable low-latency communications (URLLC) to enable mission-critical applications, such as autonomous driving and industry automation in 5G and 5G+ networks.
Dr Yuriko Suzuki - University of Oxford Robust visualisation of blood vessels in patients with vessel-narrowing diseases
Dr Suzuki is developing a novel, completely non-invasive technique that visualises blood vessels and flows in patients with vessel-narrowing diseases in the brain using an arterial spin labelling technique. She aims to provide an alternative to X-ray angiography examination to reduce the burden on patients.
Dr Oluwasola Afolabi - Loughborough University - Advanced technological synergy for renewable energy production in sub-Saharan Africa
Dr Afolabi will deliver a synergic system to deploy biological and thermochemical waste conversion processes to manage highly heterogenous agri-food waste and create clean renewable biofuels. Taking a strategic approach, his research aligns with waste management and clean energy generation policy priorities in sub-Saharan Africa.
Dr Efstratios Batzelis - University of Southampton - SOL-DEV: Addressing the SOLar Integration Challenges in DEVeloping Countries
Dr Batzelis is an expert in solar photovoltaic systems, power electronic converters and power system stability. His research investigates how to bring more clean and reliable electricity from the Sun to people in developing countries, leveraging recent advances in solar and energy storage technologies.
Dr Sebastian Bonilla - University of Oxford - Ion-charged dielectrics for next generation electronic devices
Dr Bonilla is developing a new technique to dope semiconductors, using field-effect doping (FED) from a charged dielectric. He has recently developed a new class of charge dielectrics that can overcome the charge control issue, by introducing tailored solid-state ions to produce a permanent electric field.
Dr Richard Colchester - University College London - High-fidelity, miniaturised, endoscopic, multi-modality, all-optical ultrasound imaging platform
Minimally invasive procedures are replacing traditional surgery but significant improvements in sensor technology are required now. Dr Colchester’s research focuses on building a dedicated single optical fibre endoscope to provide all-optical ultrasound and photoacoustic imaging for this purpose. Realising this technology could revolutionise healthcare and open the path to new treatments.
Dr Wei He - University of Warwick - Smart Multi-Functional Affordable Solar Home (SMASH) for Rural India
Dr He’s research tackles the affordability of energy and water provision in rural Indian homes, by creating low-cost, cold-storage-based air conditioning. This can be used in flexible electrodialysis for ‘solar-centric’, home-scale cooling and freshwater production. The project is being undertaken in collaboration with MIT, SELCO-India, Anna University and Indian Institute of Science, Bangalore.
Dr João Henriques - University of Oxford - MEMO – Meta-learning Enhanced Memorization in One-shot
Data is the lifeblood of the new machine learning tech industry, but its necessity threatens privacy and for many applications scarce or rare data is left underserved. MEMO will investigate algorithms that learn from small amounts of personalised data, using meta-learning (‘learning-to-learn’). Practical applications include robotic navigation and medical diagnostics.
Dr Alexander (Sandy) Knowles - Associate Research Fellow - University of Birmingham - Titanium, steel and tungsten superalloys: engineering fracture and irradiation resistance
Jet Engines and nuclear fusion/fission reactors operate at high temperatures that are likely to increase further in future high-efficiency designs. Dr Knowles’ research proposes a step change in material temperature capability through the realisation of a new class of high melting point body-centred-cubic (bcc) superalloys based on titanium, tungsten steel.
Dr Richard Middlemiss - University of Glasgow - MAP-Grav (Microscopic semi-Absolute Pendulum Gravimeter)
By measuring tiny variations in gravitational acceleration, we can ‘see’ things underground. Dr Middlemiss develops miniaturised gravity sensors that will be cheaper and smaller than existing devices. These sensors will be used to create gravity imaging networks for monitoring magma movements underneath volcanos.
Dr Ross Millar - University of Glasgow - Germanium-tin quantum detectors
Dr Millar develops detectors that can measure single photons of infrared light, using materials that can be mass-produced cheaply. This technology will enable low-cost 3D imaging systems for driverless cars that can penetrate fog and rain, as well as quantum encryption systems for securing data sent over optical fibre.
Dr Christopher Ness - University of Edinburgh - Illuminating forces in suspensions: pathways to rational formulation and processing
Suspensions of particles in liquid are among the most widespread product forms involving several industries including food and pharmaceuticals. However, shortcomings in our understanding of the mechanics behind these are challenging engineers. Dr Ness develops new rational approaches to formulation and processing using insight from novel experiments and simulations that expose the underlying microphysics.
Dr Eric Numkam Fokoua - University of Southampton - Next-generation fibre-optic gyroscopes for ultraprecise positioning
The fibre-optic gyroscope is a key navigation technology for today’s airliners and satellites. Dr Fokoua develops optical fibres that guide light in air or vacuum, to enable low-cost and significantly more precise fibre-optic gyroscopes. Such devices will navigate autonomous vehicles, especially when fragile global navigation satellite system signals are inaccessible.
Dr Chaitanya Paruchuri - University of Southampton - Characterisation and control of tip noise in ducted fans
The noise emitted from ducted rotors in aero-engines, marine propellers, unmanned aerial vehicles rotors and industrial ventilation fans is a major environmental concern. Noise is one of the key factors that restrict the growth of the UK economy. Dr Paruchuri’s research aims to understand and reduce the tip noise in ducted fans.
Dr Stella Pedrazzini - Associate Research Fellow - Imperial College London - Nickel Superalloy Design for Corrosion Resistance
Dr Pedrazzini will lead a research programme employing state of the art experimental and computational techniques to provide new, fundamental insight into the environmental degradation of nickel superalloys and steels, to be used to design a new generation of alloys, whose corrosion resistance will be tailored to their specific applications.
Dr Michael Thompson - Lancaster University - Graphene transistors for cryogenic electronics
Cryogenic electronics can reduce thermal noise in analogue amplifiers and enable scalability for quantum computing. However, existing semiconductor components are not well suited to operating at very low temperatures. Dr Thompson’s research focuses on using graphene and other 2D materials to develop the necessary components for future cryogenic electronic instruments.
Dr Marta Vignola - University of Glasgow - Eco-engineered biofilters for sustainable removal of pesticides in drinking water
Micropollutants, such as pesticides, pose a great risk to drinking water and human health, particularly in developing countries. Dr Vignola aims to develop biofilter systems for the sustainable removal of pesticides from polluted source waters, by exploiting the power of microbial communities to harvest energy and carbon from targeted compounds.
Dr Martin White - City, University of London - Next generation waste-heat recovery systems based on two-phase expansion
Waste-heat recovery power systems have an important role in improving the energy efficiency of many processes. Dr White’s research will investigate, through a combination of numerical and experimental studies, developing new expander technologies that can successfully expand a liquid-vapour mixture, leading to improvements in the performance waste-heat recovery systems.
Dr Wenchuan Wu - University of Oxford - Rapid mapping of brain connectivity and microstructure using diffusion MRI
Dr Wu develops novel techniques that speed up diffusion magnetic resonance imaging (MRI), the only method that can map white matter pathways in the living human brain. This will provide clinicians and neuroscientists with data of unprecedented quality and enable new insights into brain connectivity, health and disease.
Dr Daniel Zabek - Cardiff University - Manufacturing a New Class of Ferrofluid for Thermomagnetic Convection Enhanced Heat Transfer, Energy Generation and Storage
Dr Zabek is developing a new class of smart fluids, ferromagnetic-ferrofluids, with a permanent magnetic moment that exhibits solid-magnetic and liquid-fluid properties. These properties allow the development of flexible, light and more efficient heat transport and energy applications with the potential to resolve current technological limitations.
Dr Tingting Zhu - University of Oxford - A Clinical AI for Tackling Multimorbidities in Hospitals in low-and-middle-income countries (LMICs)
A data-driven ‘clinical AI’ system is proposed for low- and middle-income countries (LMICs). It will cluster complex patient data to identify phenotypic subgroups and provide personalised early-warning of deterioration in the presence of multimorbidities. It can be embedded within electronic systems to help clinicians to reduce mortality for patients through predictive inference.
Dr Abderrahim Halimi - Heriot-Watt University - Advanced Computational Methods for Smart and Extreme Imaging
Dr Halimi aims to develop new computational methods for next-generation smart sensing systems that are scene-dependent and task-optimised. These methods address challenges raised by real-world applications such as the extreme conditions of data acquisition and large volumes of high-dimensional data.
Dr Armin Mustafa - University of Surrey - 4D Vision for Perceptive Machines
The emergence of machines that interact with their environment has led to an increasing demand for automatic visual understanding of real-world scenes. Dr Mustafa aims to better understand complex scenes so that machines can efficiently model and interpret real-world settings for a range of socially beneficial applications including autonomous systems, augmented reality and healthcare.
Dr Ben Green - University of Warwick - Long-distance quantum communication devices via engineered defects in diamond
Secure communication based on long-distance quantum cryptography will require the realisation of quantum networks. The development of quantum ‘amplifiers’ is needed to achieve this and Dr Green exploits point defects in diamond to produce robust spin-photon interface devices with optimal photonic properties. This will enable communication of quantum states between potentially heterogeneous hardware.
Dr Brian Sheil - University of Oxford - Intelligent real-time monitoring to inform underground construction processes
Dr Sheil aims to develop bespoke geotechnical monitoring systems to provide real-time, automated feed-back to site engineers. He also develops and validates new design methods for underground construction processes. This will be achieved through the development of fibre optic sensors and their deployment in upcoming UK construction projects.
Dr Catarina Veiga - University College London - A framework to study radiotherapy-induced late effects on paediatric patients
Dr Veiga’s research aims to reduce the risk of radiotherapy-induced side-effects in later life of childhood cancer survivors. This can be achieved by engineering a computational framework tailored to predicting and modelling the risk of side-effects based on the analysis of complex medical imaging and outcome data of large populations.
Dr Charlotte Hagen - University College London - A novel 3D, non-destructive imaging platform for tissue engineering
Dr Hagen is developing a new x-ray imaging technology for tissue engineering that provides a flexible way to accommodate the increasingly complex imaging needs of this field. The technology supports correlative and/or multi-contrast approaches that are frequently required and facilitates high-resolution, low-dose scanning techniques for pre-clinical development.
Dr Edward Johns - Imperial College London - Empowering next-generation robots with dexterous manipulation: Deep learning via simulation
Next-generation robots will be physically manipulating and interacting with objects in their environment, using robotic arms and hands. Dr Johns uses current artificial intelligence techniques, such as deep learning, to develop these robots. Computer simulations are also used to generate the huge datasets necessary for operation across diverse, everyday environments.
Dr Fernando Perez-Cota - University of Nottingham - Phonon Microscopy; a New Way to See Inside Living Cells
Dr Perez-Cota’s research focuses on phonon microscopy, which uses sound at the nano-scale to offer a label-free, super-resolution, non-invasive imaging tool. This new instrument enables the characterisation of living biological cells by contrast derived from their elasticity. These capabilities offer great potential for the life-sciences and healthcare.
Dr Junjie Shen - University of Bath - Safe Drinking Water using Capacitive Deionization for East Africa
In East Africa, excessive fluoride in drinking water causes large-scale health problems. Dr Shen’s research aims to provide fluoride-free water to local communities by using CDI technology. This approach integrates three areas of research: development of fluoride-selective electrodes, design of solar-powered CDI, and sustainability assessment of CDI.
Dr Leila Miriam Moura - Queen's University Belfast - Liquid engineering for gas separation
LEGS aims to overcome the enormous energy and engineering costs associated with isolating ethylene and propylene, materials that are in high demand. By using new mixed gas absorption equipment in real-world industry settings, Dr Moura will determine the potential of a series of solvents as separation agents.
Dr Lidia Galdino - University College London - Capacity-Approaching, Ultra-Wideband Nonlinear Optical Fibre Transmission Systems
Optical fibre underpins our global communications infrastructure, transporting over 99% of global internet traffic data. Dr Galdino’s research redefines how optical networks are designed by harvesting the whole 50THz spectrum of optical fibres. This will lead to faster internet and a more digitally enabled society, as well as promoting economic productivity.
Dr Long Seng To - Loughborough University - Enhancing Community Energy Resilience Using Renewable Energy in Developing Countries
Dr To uses engineering expertise to strengthen the resilience of energy systems with a particular focus on building community energy resilience strategies and local innovations in Malawi and Nepal. Methods and tools will also be developed to improve energy infrastructure design by using an interdisciplinary, socio-technical systems approach.
Dr Mariia Sorokina - Aston University - Laser Brain: Artificial neural network based on fibre laser system
Dr Sorokina’s research project – Laser Brain – is a novel ultra-fast optical computing technology with record bandwidth and number of nodes. This cutting-edge technology aims to revolutionise neuroscience, computing, and the generation of novel human machine interfaces. Its applications range from engineering and biology to medicine and security.
Dr Massimiliano Materazzi - University College London - Advanced thermal technologies for conversion of waste into second-generation biofuels
Dr Materazzi examines how to efficiently generate light biofuels from waste residues by using new advanced thermal treatment technologies that combine fluid-bed reactors and catalysts design. This includes using advanced diagnostic techniques to improve understanding of complex solid-gas interactions at every step of the transformation sequence.
Dr Melanie Jimenez - University of Glasgow - Tackling antimicrobial resistance: engineering new microsystems for rapid bacteria purification
Dr Jimenez’s research tackles the challenge of rapid medical diagnosis by engineering a suite of new microsystems capable of performing a fast purification and detection of bacteria from clinical samples (eg blood). These technologies have the potential to reduce unnecessary administration of antibiotics, enabling a personalised approach to therapy.
Dr Michael Cook - Queen Mary University of London - Automated Game Design: Next-Generation Creative AI For Games
Dr Cook is developing automated game design, an emerging field in AI concerned with engineering computationally creative systems to support game development. This work ranges from building new creative tools to support big-budget blockbuster studios, to designing autonomously creative software that can support and collaborate with artists and hobbyists.
Dr Myra Lydon - Queen's University Belfast - Solutions to monitor and assess resilience in transport (SMART) infrastructure
SMART infrastructure aims to enhance the resilience of road networks through data analytics and greater interoperability across asset management systems. Dr Lydon will use the Northern Ireland road network as a research platform to develop a new bridge management tool by focusing specifically on the vulnerability of bridge structures within the network.
Dr Nasrin Al Nasiri - Imperial College London - Novel Coatings for Ceramic Gas Turbines
Dr Al Nasiri aims to develop durable and affordable environmental barrier coatings for silicon carbide ceramic matrix composites for aerospace applications. This research supports the development of a next generation of aerospace engines that are lighter, faster, cheaper, more efficient and less polluting.
Dr Pavlos Petoumenos - University of Manchester - Deep Learning For Easier Compiler Analysis and Optimisation
Modern computing systems are necessary for innovative, fast and energy-efficient applications, however programming for them requires significant effort and expertise. Dr Petoumenos uses artificial intelligence to understand, rewrite and optimise computer code without expert knowledge or supervision, making programming for modern hardware accessible to all developers.
Dr Robert Lianqi Zhao Hoye - Imperial College London - Designing and Engineering a New Generation of High-Efficiency Tandem Photovoltaics
Dr Hoye’s research focuses on the development of low-cost, lead-free semiconductors that tolerate defects and increase performance. When deposited on silicon solar cells, these materials can convert higher levels of sunlight to electricity, potentially increasing efficiency by 50%. This could support photovoltaics in reaching the 10 terawatt deployment level needed to meet climate targets by 2030.
Dr Rainer Groh - University of Bristol - Robust computational methods and design paradigms for spatially chaotic structures
Instabilities are an important failure mode for lightweight aerospace structures as they can cause collapse. However, research developments are shifting perspectives by using controlled instabilities for new functions, such as shape adaptation. Taking this approach, Dr Groh applies new analysis and experimental techniques towards designing and validating novel structures for industrial application.
Dr Ross James Donaldson - Heriot-Watt University - Practical optical ground station receivers for satellite-based quantum communication
Creating a global quantum network is an important task for quantum communications. Global connection via low-earth-orbit satellites is seen as the fastest route. Dr Donaldson’s research investigates new photonic technology to enable practical optical receivers that can communicate with satellites, which is crucial to expanding the connectivity of the network.
Dr Thomas Kissinger - Cranfield University - Doppler-enhanced lidar system using range-resolved interferometry
A range of fields, including autonomous navigation, manufacturing and healthcare, have advanced due to 3D imaging. Dr Kissinger’s research seeks to demonstrate the concept of ‘Doppler-enhanced lidar’, where depth and velocity images are simultaneously acquired. This allows quantification of object movements, which is useful in applications such as robotic obstacle avoidance or monitoring patient breathing.
Dr Yue Wang (Christina) - University of York - TOAST - Two-Dimensional Optical Amplification or Silicon Technologies
A remaining challenge in silicon photonics is to produce a light source that can be easily used in standard manufacturing processes. Dr Wang is developing silicon-based light emitters, made from two-dimensional materials, that operate at near-infrared wavelengths. This will create new opportunities in data communications and bio and chemical sensing.
Dr Ton Van Den Bremer - University of Oxford - Cleaning the Ocean: Understanding transport of plastic pollution by waves
Since the widespread introduction of plastic materials in the 1950s, large concentrations of floating plastic debris have accumulated in the world’s oceans. Professor van den Bremer’s research aims to determine the fundamental mechanisms of transport and dispersion of plastic pollution in realistic, stochastic seas focusing on the role of waves.
Dr Yoann Altmann - Heriot-Watt University - Bayesian computational methods for efficient low-energy imaging and sensing
Dr Altmann’s research bridges the gap between the photonics and the signal and image processing communities by developing new statistical tools for enhanced information extraction from particle (eg photon) detectors. The research also embeds computational tools within the design of future low-illumination sensing and imaging solutions.
Dr Siming Chen - University College London - Integrated III-V quantum dot photonic circuits on silicon platforms
Dr Chen aims to develop and demonstrate the first photonic optical transmitter silicon microchip made up of a high-performance III-V quantum dot distributed feedback laser, an electroabsorption modulator and a silicon-on-insulator waveguide on a silicon substrate. This integrated circuit tackles the challenge of slow data transfer capacity faced by conventional copper-based interconnectors.
Dr Neil Vaughan - University of Exeter - Virtual reality training: development of frameworks for haptic skill assessment, material modelling and adaptation
Dr Vaughan’s research on VR medical training is helping to develop frameworks and enhance capabilities in three main areas: skill assessment, material modelling and adaptation. As VR develops, the frameworks can bring global benefit to all disciplines using VR technology and haptic interaction. This will enhance the assessment of medical procedures with virtual soft tissues.
Dr Milos Nedelijkovic - University of Southampton - On-chip systems for mid-infrared sensing
Most gases, chemicals, and biological molecules absorb light at specific mid-infrared wavelengths. Systems that measure this property can detect different substances for applications such as environmental monitoring or healthcare. Dr Nedeljkovic’s research seeks to drastically reduce the size and cost of such systems by making them on silicon chips.
Dr Maria Chernysheva - University of Aston - Novel mid-infrared ultrafast fibre lasers for molecular vibrational sensing technologies
Dr Chernysheva’s research builds on her knowledge of fibre lasers and the generation of ultrashort pulses to develop versatile diagnostic tools based on mid-infrared laser systems. These new laser systems could replace the bulky and complicated infrared interferometers that are currently used for vibrational spectroscopy and could be translated for cancer diagnostics.
Dr Mark Chiew - University of Oxford - Characterizing the brain's spatio-temporal dynamics by integrating EEG and FMRI
Simultaneous measurement of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) provide complementary information on brain function. Dr Chiew’s research takes new ideas in image reconstruction, signal processing and machine learning to integrate both techniques, leveraging their respective strengths to enable richer characterisation of the brain and its function.
Dr Adnan Mehonic - University College London - Next-generation adaptive electronics for neuromorphic engineering
Neuromorphic memristive systems promise to improve the power efficiency of hardware for AI and machine learning (ML) applications. This will lead to direct implementation of AI and ML in mobile and embedded systems, facilitating local data processing instead of relying on data streaming and latency-prone cloud computing.
Dr Joseph van Batenburg-Sherwood - Imperial College London - Interactions between fluid dynamics and biological function in microvascular disease
Dr van Batenburg-Sherwood focuses on biofluid dynamics and experimental techniques for yielding precise data on biological flows. His main interest is in microscale blood flow and understanding how red blood cell properties change microvascular function in diseases such as diabetes.