Profiles

Ahmed M. Eltawil is a professor of the Electrical and Computer Engineering Program at KAUST. He joined the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division in 2019. At KAUST, he founded and directs the Communication and Computing Systems Laboratory (CCSL). Previously, he was a faculty member in the Electrical Engineering and Computer Science Department at the University of California, Irvine (UCI), U.S., from 2005 to 2019.

His research at the CCSL at KAUST focuses on efficient architectures for computing and communications systems, with an emphasis on wireless systems. This research spans several application domains, including low-power mobile systems, machine learning platforms, sensor networks, body area networks, and critical infrastructure networks.

An active participant in the academic community, Eltawil has served on the technical program and steering committees for numerous workshops, symposia and conferences focused on low-power computing and wireless communication system design. He is a recipient of several prestigious awards and grants, including the NSF CAREER grant for his research in low-power computing and communication systems.

He is a Senior Member, Distinguished Lecturer (2023/24) of the IEEE, and a Senior Member of the National Academy of Inventors. In 2021, he was recognized as "Innovator of the Year" by the Henry Samueli School of Engineering at UCI and received two US Congressional Recognition Awards for his pioneering work in wireless systems. Committed to a collaborative, multidisciplinary approach, Professor Eltawil is passionate about translational research, aiming to move practical innovations from the lab to societal applications.

Professor Eltawil’s current research focuses on efficient architectures for computing and communications systems and wireless networks, encompassing low-power mobile systems, sensor networks, body-area networks, cyber-physical systems and critical infrastructure networks.

His research examines the larger context of smart and connected systems where devices seamlessly integrate into our daily lives. His approach to research combines rigorous analysis with a robust experimental background that leverages insights obtained through simulations and corroborated by experiments. By finding innovative solutions to research problems, he aspires to offer practical approaches that can be readily adopted, resulting in significant societal benefits.

Asmaa Abdallah  is a Research Scientist at King Abdullah University of Science and Technology (KAUST). From 2021 till 2024, she was a Post-Doctoral Fellow at KAUST. In 2020, she received the Ph.D. degree in Electrical and Computer Engineering at the American University of Beirut (AUB), Beirut, Lebanon.   In 2023, Dr. Abdallah has been selected by MIT technology review as one of the leading 15 Innovators under 35 in the MENA area. She currently serves as an editor for IEEE Communications Letters.

Asmaa Abdallah received the B.S. (with High Distinction) and M.S degree in computer and communications engineering from Rafik Hariri University (RHU), Lebanon, in 2013 and 2015, respectively. In 2020, she received the Ph.D. degree in electrical and computer engineering at the American University of Beirut (AUB), Beirut, Lebanon. Ms. Abdallah was the recipient of the Academic Excellence Award at RHU in 2013 for ranking first on the graduating class. She also received a scholarship from the Lebanese National Counsel for Scientific Research (CNRS-L/AUB) to support her doctoral studies.

Ms. Abdallah's research interests include communication theory, stochastic geometry for wireless communications, machine learning for wireless communications, array signal processing, with emphasis on energy and spectral efficient algorithms for emerging wireless communication technologies.

Deep Learning , Near-Field Communication, Array Signal Processing

Jinane received her Bachelor's Degree in Computer and Communications Engineering from the American University of Beirut (AUB) in 2021, with High Distinction.

From June 2020 to June 2021, she was a visiting student at the Communication and Computing Systems Laboratory (CCSL) at KAUST, in collaboration with the University of California-Irvine (UCI).

Her research interests focus on in-memory computing for deep learning hardware acceleration to enhance the efficiency and performance of neural network computations.