Dr. Rawan Alghamdi
Biography:
Dr. Rawan Alghamdi is a wireless communication and signal processing researcher with a Ph.D. in electrical and computer engineering from King Abdullah University of Science and Technology (KAUST), working with Prof. Mohamed-Slim Alouini and Prof. Tareq Y. Al-Naffouri. Her work focuses on developing telecommunications technologies that expand connectivity and support more equitable internet access. Rawan investigates advanced wireless communication techniques to improve coverage and reliability while reducing system complexity, helping make communication technologies more accessible, practical, and efficient.
Dr. Alghamdi's research interests include communications over time-varying channels, integrated sensing and communications, and wireless communication in complex environments. Her expertise spans satellite, aerial, and underwater communication systems. She has received multiple awards, including the IEEE Signal Processing Society scholarship, the first-place award in the three-minute thesis (3MT) competition at the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) conference, and the runner-up for the Communications, Space & Technology Commission and IEEE Future Networks Research Competition. She also appeared on the KAUST-CEMSE dean's research excellence list and the “100 Brilliant and Inspiring Women in 6G” list as a rising star.
To learn more about Dr. Alghamdi's work, please visit her personal webpage: https://www.rawanalghamdi.com/
MIT Fellowship Research Abstract:
At MIT, Dr. Alghamdi will join Prof. Médard’s Network Coding and Reliable Communications group to develop decoding algorithms for integrated sensing and communication systems. Building on guessing random additive noise decoding (GRAND), her research will investigate a unified receiver framework that uses error-correcting code constraints, noise correlation, and decoded communication signals to jointly recover transmitted information and estimate the propagation environment. By integrating communication decoding and environmental sensing within a common receiver architecture, the work aims to reduce duplicated processing and hardware requirements, supporting more efficient implementations of integrated sensing and communication systems.
Professional Affiliations
- King Abdullah University of Science and Technology (KAUST)
- Effat University
- IEEE, IEEE Communications Society, IEEE Computer Society, IEEE Information Theory Society, IEEE Signal Processing Society, IEEE Vehicular Technology Society, and IEEE Women in Engineering