Biography

Mojtaba AlShams is a Ph.D. student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), specializing in distributed machine learning and hardware-aware inference. He holds a Master’s degree from KAUST and a Bachelor’s degree from King Fahd University of Petroleum and Minerals (KFUPM).

Mojtaba has a strong academic foundation in computing systems, embedded design, and machine learning, complemented by hands-on experience in electrical engineering roles. He has also demonstrated impactful leadership through national educational initiatives, effectively combining deep technical expertise with strategic leadership capabilities.

Research Interests

His research interests focus on edge computing paradigms and distributed learning, with an emphasis on hardware-aware, energy-efficient inference across heterogeneous edge devices.

Awards and Distinctions

Qualifications

Education

Master of Science (M.S.)
Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2023
Bachelor of Science (B.S.)
Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, 2018

Languages

Arabic
Native or bilingual proficiency
English
Professional working proficiency

Quote

Knowledge, KAUST. Enablement, KAUST. Cutting-edge research, also KAUST! Joining KAUST was one of the best choices I have ever made in my life. I believe KAUST is one of the best places to learn, get engaged, contribute to research and on top of that to have a great life-style!