Teesside University
AMIGO-Biochar: Advanced Manufacturing of Biochar is a collaborative project involving partners from the UK, China, Hungary, Malaysia and Nigeria.
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GirlsWhoML is a community-driven initiative that supports women and non-binary individuals entering the field of machine learning (ML).
Researchers in our School of Computing, Engineering & Digital Technologies developed FAIRGAME, a tool used to detect and analyse bias in AI agents.
As generative AI reshapes ads, Teesside University’s GUARD detects deepfakes, protecting authenticity, transparency, and public trust.
Teesside University project: Enhancing sustainability, reliability, and efficiency of perovskite PV via novel materials and process engineering.
OptiWare uses non-intrusive AI and sensor fusion to streamline port warehouses, automating tracking and speeding probes.
Teesside University’s MenopauseXR uses AI-powered VR to raise menopause awareness, build empathy, and help employers support women.
Teesside University researchers use AI and deep learning to improve cancer diagnostics, boosting accuracy and transforming treatment.
Teesside University advances net-zero goals using additive manufacturing, advanced materials, and AI-driven optimisation for sustainable engineering.
Teesside University’s research highlights how project-based learning bridges the gap between theory and industry, equipping students with future-ready skills.
Stuff4Life have been working with Teesside University to provide a solution for recycling workwear and PPE.