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Biography

Rayya Bedran is a Ph.D. student in the FASTER group at KAUST. Her research applies machine learning to laser absorption spectroscopy and gas sensing, drawing on a background in mechanical engineering and computer science.

She received an M.Sc. in Mechanical Engineering from KAUST in 2026 and a B.E. in Mechanical Engineering, with a minor in Computer Science, from the Lebanese American University in 2024.

Projects

  • Machine Learning Applications in Laser Spectroscopy (in particular gas sensing)

Education

I am currently pursuing a Ph.D in Mechanical Engineering at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. I completed my M.Sc in Mechanical Engineering at KAUST, Saudi Arabia, in 2026, and my B.E. in Mechanical Engineering, with a minor in Computer Science, at the Lebanese American University (LAU), Lebanon, in 2024.