Deep learning

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

Mojtaba Alshams

M.S. Student, Communication and Computing Systems Lab

distributed computing Deep learning Computer Vision

Education and Early Career Earned a BS in Electrical Engineering with 2nd honor from King Fahd University of Petroleum & Minerals where the degree specialization was more oriented around communication, electronics and embedded systems. Had about three years of high professional experience and empowered leadership in industrial electrical and instrumentation engineering works in district cooling plant construction project. Currently pursuing MS degree in Electrical & Computer Engineering at KAUST with a thesis in distributing ML algorithms across hardware accelerators. Simultaneously, engaging

Jinane Bazzi

Ph.D. Student, Electrical and Computer Engineering

In-memory computing Computer architecture Deep learning

Jinane Bazzi is an MS/PhD student at KAUST, focusing on developing compute-in-memory architectures for efficient neural network computations, driven by a passion for advancing AI hardware.

Diego Augusto Silva

Ph.D. Student, Electrical and Computer Engineering

Neuromorphic Vision Deep learning Object detection autonomous driving

Diego Augusto Silva is a Ph.D. candidate in the electrical and computer engineering department and a member of the Communication and Computing Systems Lab under the supervision of Professor Ahmed Eltawil at King Abdullah University of Science and Technology (KAUST). Research Interests Diego's research interests include the digital logic design of algorithms and event-based cameras. Education Profile Bachelor's degree in electrical engineering from the Federal University of São João del-Rei, Brazil. Master's degree in electronic engineering and computing in electronic devices and systems from

Asmaa Abdallah

Postdoctoral Research Fellow, Electrical and Computer Engineering

Deep learning Digital signal processing Resource allocation Machine learning applications for wireless communication systems

Asmaa Abdallah r eceived 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. She is

Abdelhay Ali

Postdoctoral Research Fellow, Electrical and Computer Engineering

body area networks Deep learning Digital Systems Design