Rawan Naous

Rawan Naous is an accomplished ML Research Scientist at Meta, with a strong academic and professional background in electrical engineering and computer science. Rawan holds a Bachelor’s degree in Electrical Engineering from the American University of Beirut, a Master’s degree in Communication Electronics from the Technical University of Munich, and a PhD in Electrical and Electronics Engineering from King Abdullah University of Science and Technology. Rawan's professional experience includes positions as a Lecturer in Computer Science and Electrical Engineering at various universities, a Graduate Research Assistant at KAUST, and a Corporate Researcher in AI Hardware at TSMC North America, in addition to a postdoctoral fellowship at the University of California, Berkeley.