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