Jinane Bazzi
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.
Biography
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).
Research Interests
Her research interests focus on in-memory computing for deep learning hardware acceleration to enhance the efficiency and performance of neural network computations.
Awards and Distinctions
- Dean's List Award, KAUST, 2024
- Dean's List Award, KAUST, 2023
- ECE FYP Exceptional Award, AUB, 2021
- Best Paper Award, IEEE ICM, 2020
Qualifications
Education
- Bachelor of Engineering (B.Eng.)
- Computer and Communications Engineering, American University of Beirut (AUB), Lebanon, 2021
- Master of Science (M.S.)
- Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2023
- Arabic
- Native or bilingual proficiency
- English
- Full professional proficiency
- French
- Full professional proficiency