Erez Zadok

Schoenfeld, E., Trimboli, T., Ayisi-Boahene, G., Bruckenthal, P., Zadok, E., Horwitz, S., & Ye, F. (2023). SMART AGING: ENGAGING OLDER ADULTS TO GUIDE SENSOR DEVELOPMENT TO SUPPORT AGING IN PLACE. Innovation in Aging, 7(Supplement_1), 1. http://doi.org/10.1093/geroni/igad104.1908

Schoenfeld, E., Trimboli, T., Finnerty, K., Ayisi-Boahene, G., Bruckenthal, P., Zadok, E., … Ye, F. (2023). ENGAGING OLDER ADULTS TO GUIDE LOW-COST NONWEARABLE SENSOR TECHNOLOGY DEVELOPMENT TO AGE IN PLACE: SURVEY FINDINGS. Innovation in Aging, 7(Supplement_1), 1. http://doi.org/10.1093/geroni/igad104.2247

Hussain, S. R., McDaniel, P., Gandhi, A., Ghose, K., Gopalan, K., Lee, D., … Zadok, E. (2024). Verifiable Sustainability in Data Centers. IEEE Security & Privacy, 14. http://doi.org/10.1109/MSEC.2024.3372488

Akgun, I. U., Aydin, A. S., Burford, A., McNeill, M., Arkhangelskiy, M., & Zadok, E. (2023). Improving Storage Systems Using Machine Learning. ACM Transactions on Storage, 19(1), 30. http://doi.org/10.1145/3568429

Akgun, I. "umit", Vargas, S., Arkhangelskiy, M., Burford, A., McNeill, M., Balasubramanian, A., … Zadok, E. (2022). Predicting Network Buffer Capacity for BBR Fairness. In 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Workshop on ML for Systems. Retrieved from https://par.nsf.gov/biblio/10430338

Akgun, I. U., Aydin, A. S., Shaikh, A., Velikov, L., & Zadok, E. (2021). A Machine Learning Framework to Improve Storage System Performance. In Proceedings of the 13th ACM Workshop on Hot Topics in Storage (HotStorage ’21) (p. 9). http://doi.org/10.1145/3465332.3470875