Sheffield Hallam University

Investigate autonomous AI-driven battery systems that optimize multi-energy market participation. Develop novel algorithms integrating AI with advanced battery models to enhance grid flexibility and decarbonization. Cre…

This research enables the development of flexible, intelligent battery systems critical for integrating increasing renewables into energy g…

Develop innovative stone conservation treatments to remove damaging sulphation and protect limestone heritage. Apply and validate solutions on iconic UK cathedrals, advancing sustainable built heritage protection.

This research offers the first reliable, safe approach to simultaneously remove sulphation while consolidating stone fabric, directly addre…

Develop innovative metamaterials by combining nature-inspired design and advanced manufacturing techniques. Explore computational modelling and 3D printing to create lightweight, high-performance materials with tailored…

This research advances sustainable engineering by reducing material usage while enhancing functionality in critical sectors such as aerospa…

Develop and validate next-generation numerical models that integrate corrosion pit growth with fatigue damage to accurately predict metal fatigue life. Leverage experimental and computational techniques to enhance struc…

This project addresses fundamental gaps in predicting how corrosion accelerates fatigue failures, a major cause of infrastructure breakdown…

Develop cutting-edge agentic AI algorithms to autonomously control reconfigurable battery systems across complex multi-energy markets. Lead innovation in smart grid intelligence that dynamically adapts to evolving energ…

This research is vital for integrating renewable energy by enabling flexible, intelligent battery storage that maximises revenue, optimises…

Develop privacy-preserving AI to detect anxiety and depression using lightweight large language models. Enhance mental health support in care robotics through trustworthy, clinically aligned, and scalable AI technologie…

This research addresses the urgent need for ethical and trustworthy AI in mental healthcare, aiming to relieve pressure on NHS mental healt…

Apply machine learning to uncover complex drivers of loneliness and self-disclosure patterns across communities. Generate detailed, AI-driven insights to inform effective policy and intervention strategies.

This research addresses a pressing social issue affecting millions in the UK by producing actionable knowledge about loneliness. Its AI-dri…

Discover how AI and advanced methods unlock insights into social capital formation in new housing. Drive change by informing inclusive policies for resilient and connected communities.

This research addresses a critical gap in understanding the social dynamics of new housing developments, informing policies that support co…

Explore how digital and in-person community ties intersect to shape social connectedness across places. Use AI and advanced methods to reveal emerging hybrid community networks and influence policy for resilient communi…

This research enhances understanding of how digital technologies affect community belonging and participation, advancing social inclusion a…

Investigate digital inclusion challenges in diverse communities using advanced AI and mixed methods. Create actionable insights to promote social connectedness and wellbeing through technology.

This research addresses critical digital divides impacting community participation and wellbeing. It supports policy and practice to design…

Explore ultrafast magnetic switching and computational modeling to revolutionize data storage. Collaborate with leading experts and industry to develop innovative, energy-efficient information technologies.

This research addresses fundamental gaps in understanding ultrafast magnetic switching, crucial for advancing next-generation data storage …

Develop innovative machine learning models combined with Raman spectroscopy to transform the detection of hazardous crystalline silica particles. Lead advancements in occupational health through smart-data processing an…

This research directly addresses a major occupational health risk by enabling early and accurate detection of dangerous silica dust. It sup…

Develop cutting-edge multiphysics simulation tools integrating turbulence, acoustics, and structural mechanics to innovate noise-reducing aerofoil designs. Leverage auxetic metamaterials to advance sustainable aviation …

This research tackles the widespread issue of aviation noise affecting millions globally, pioneering material-based solutions that avoid co…

Utilize AI to generate and enhance analogy-based teaching materials that simplify complex programming concepts. Develop an AI-enabled framework aimed at improving programming education through real-world analogies in au…

This research addresses high failure rates in programming education by making abstract concepts more accessible through AI-supported analog…

Explore and model ultrafast magnetisation switching using cutting-edge computational physics. Engage in interdisciplinary research with real-world industry impact to revolutionize future data storage technologies.

This research tackles fundamental gaps in understanding ultrafast magnetic switching, enabling breakthroughs for faster, more energy-effici…

Explore innovative methods to measure nuclear reactions critical for fusion energy. Collaborate with leading labs and industry to advance safe and sustainable fusion technology.

This research addresses key challenges in fusion reactor safety and longevity by providing precise nuclear reaction data. It enables inform…

Develop cutting-edge AI-enhanced spectral analysis methods for occupational health monitoring. Create innovative machine learning models that enable precise detection of hazardous crystalline silica nanoparticles.

This research addresses critical gaps in airborne silica detection, which is vital to preventing severe occupational diseases. Enhanced mon…

Explore novel auxetic metamaterials to revolutionize aeroacoustic noise control in aviation. Develop advanced multiphysics simulation tools to enable quieter, more efficient aircraft designs.

The project advances sustainable aviation by addressing noise pollution through engineered materials rather than add-on devices, supporting…

Develop an AI-driven framework leveraging reinforcement learning and smart sensor data to optimize pricing and inventory decisions in retail. Enable data-driven reductions in food waste while improving profitability thr…

This research bridges advanced AI analytics and real-world retail operations to tackle food waste, a critical sustainability challenge. It …