Biography
Jinane Bazzi received her Bachelor’s degree in Computer and Communications Engineering from the American University of Beirut (AUB) in 2021, graduating with High Distinction. She earned her Master’s degree in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST) in 2023. During her graduate studies, she was also a visiting student at the University of California, Irvine (UCI). She is currently pursuing a Ph.D. in Electrical and Computer Engineering at KAUST.
Research Interests
Jinane's research lies at the intersection of hardware architecture and deep learning, with a focus on compute-in-memory (CIM) techniques for efficient AI acceleration.
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
- Master of Science (M.S.)
- Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2023
- Bachelor of Engineering (B.Eng.)
- Computer and Communications Engineering, American University of Beirut (AUB), Lebanon, 2021
- Arabic
- Native or bilingual proficiency
- English
- Full professional proficiency
- French
- Full professional proficiency
Languages
Selected Publications
Journal Articles
- Bazzi, J., Sweidan, J., et al. (2024). Variability-aware design of RRAM-based analog CAMs. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3388730
- Bazzi, J., Sweidan, J., et al. (2024). DNA pattern matching acceleration with analog resistive CAM. Frontiers in Electronics.
Conference Papers
- Bazzi, J., Fouda, M., & Eltawil, A. (2025). Reconfigurable precision INT4-8/FP8 digital compute-in-memory macro for AI acceleration. IEEE International Symposium on Circuits and Systems (ISCAS), London, United Kingdom. https://doi.org/10.1109/ISCAS56072.2025.11044064
- Bazzi, J., Jamil, R., et al. (2024). Reconfigurable precision SRAM-based analog in-memory compute macro design. IEEE International Symposium on Circuits and Systems (ISCAS), Singapore. https://doi.org/10.1109/ISCAS58744.2024.10558662
- Bazzi, J., Fouda, M., Kanj, R., & Eltawil, A. (2023). Hardware acceleration of DNA pattern matching with binary memristors. IEEE International Symposium on Circuits and Systems (ISCAS), California, USA. https://doi.org/10.1109/ISCAS46773.2023.10181367
- Bazzi, J., Fouda, M., Kanj, R., & Eltawil, A. (2020). Threshold switch modeling for analog CAM design. IEEE International Conference on Microelectronics (ICM), Jordan. https://doi.org/10.1109/ICM50269.2020.9331775
