Goldsmiths Uni Supercomputer Boosts Face Emotion AI Research

May 6, 2026

South London News Smart London Desk Edited By Jimmy Nsubuga

Ever wondered if your phone or social media filter truly gets how you're feeling? A researcher at Goldsmiths, University of London is using a massive UK supercomputer to make sure that AI can read our emotions more accurately and fairly.

Tackling AI's Trust Issues

Dr Georgios Mastorakis, who works in artificial intelligence and computer vision, will spend three months on one of the UK's most powerful supercomputers. His project aims to improve facial emotion recognition systems. These systems are already in our phones and apps, but they often struggle with accuracy.

This is because they rely on messy, real-world data that doesn't always represent everyone. This can lead to unfair or wrong interpretations of emotions.

Synthetic Data is the Future

The key to Dr Mastorakis's research is using synthetic images. These are artificially generated faces and expressions, not real photos. This allows for cleaner, better-labelled data.

"We have seven different emotions, and we are trying to detect these emotions in images," he explained. "But the way we do it is by training the AI not with human but with synthetic data."

He added, "The synthetic images are not like the humans, so this is a big challenge of the research."

Bridging the Gap

The goal is to train AI on these perfect synthetic faces and then make sure it works just as well on real people. This could lead to emotion recognition systems that are more robust and reliable for everyone.

"I’m trying now to make the model transition between the two domains – real data and synthetic data," Georgios said. "We train on synthetic, then use this transition when we train and test on real human emotions and see if we can get high accuracy."

Author

South London News Smart London Desk Edited By Jimmy Nsubuga

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