Jinane Bazzi is an MS/PhD student at King Abdullah University of Science and Technology (KAUST). Her research interests are in the area of In-memory computing, hardware acceleration, and digital circuit designs.


EDUCATION AND EARLY CAREER

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

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

Awards and Distinctions

  • Dean's List Award, KAUST, 2023.
  • ECE FYP Exceptional Award, AUB, 2021.
  • IEEE ICM Best Paper Award, 2020.

Selected Publications

J. Bazzi, M. E. Fouda, R. Kanj, and A. M. Eltawil, “Hardware acceleration of DNA pattern matching with binary memristors,” in 2023 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2023, pp. 1–5.
J. Bazzi, J. Sweidan, M. E. Fouda, R. Kanj, and A. M. Eltawil, “DNA pattern matching acceleration with analog resistive cam,” arXiv preprint arXiv:2205.15505, 2022.
J. Bazzi, J. Sweidan, M. E. Fouda, R. Kanj, and A. M. Eltawil, “Efficient analog cam design,” arXiv preprint arXiv:2203.02500, 2022.
J. Bazzi, M. E. Fouda, R. Kanj, and A. M. Eltawil, “Threshold switch modeling for analog cam design", in 2020 32nd International Conference on Microelectronics (ICM). IEEE, 2020, pp. 1–4.