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Numerical Methods for PDEs
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Machine Leaning

Shaymaa Mahmoud

M.S. Student, Statistics

Underwater Optical Wireless Communications and Networking Reinforcement Learning Machine Leaning optimization

Shaymaa Mahmoud is currectly a M.S. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Shaymaa Mahmoud received her B.S. in Data Science with a minor in Computer Science from the American University in Cairo in May 2025, and spent the spring of 2024 studying abroad at Kent State University. During her undergraduate years, she worked across several research groups.She did research internship during her semester abroad at the Advanced Telerobotics Research

Numerical Methods for PDEs (NumPDE)

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