Researcher Uses AI to Make Studying Galaxies Easier

Youssef Zaazou graduated with a master's of science from the Memorial University of Newfoundland in 2025. A recent Memorial University of Newfoundland graduate says his research may help study galaxies more efficiently — with help from Artificial Intelligence.

As part of Youssef Zaazou's master's of science, he developed an AI-based image-processing technique that generates predictions of what certain galaxies may look like in a given wavelength of light. Zaazou described it as translating galaxy images across different wavelengths of light.

He researched past methods, adapted AI tools, curated the dataset, and conducted trials to achieve this. The technique allows prioritizing telescope resources by focusing on interesting regions.

Zaazou collaborated with supervisors to publish a paper in The Astrophysical Journal. The research could aid in allocating high-demand telescopes like the Hubble Space Telescope.

Both Zaazou and his supervisors highlighted that AI complements existing methods in astronomy. The findings could guide future telescope development and enhance exploration efficiency.

Terrence Tricco, an assistant professor at MUN, praised the increasing space research presence at the university. He sees potential for AI expertise to benefit various disciplines.

Though Zaazou's student days are over, he envisions continued growth in this research area. He hopes his work is just the beginning of further advancements in astronomy.

According to the source: CBC.