Aya Abdelsalam Ismail - Machine Learning Scientist-Frontier, Prescient Design

Aya Abdelsalam Ismail

Machine Learning Scientist-Frontier, Prescient Design

I joined Prescient Design as a research scientist in the frontier group in October 2022. Prior to Prescient, I received my Ph.D. from the University of Maryland where I was advised by Soheil Feizi and H├ęctor Corrada Bravo. During my Ph.D. my research focused on the interpretability of neural models for sequential data.

Featured Publication

Improving deep learning interpretability by saliency guided training.

Advances in Neural Information Processing Systems 34 (2021).

Ismail, Aya Abdelsalam, Hector Corrada Bravo, and Soheil Feizi.

Benchmarking deep learning interpretability in time series predictions.

Advances in Neural Information Processing Systems 33 (2020).

Ismail, Aya Abdelsalam, et al.

Input-cell attention reduces vanishing saliency of recurrent neural networks.

Advances in Neural Information Processing Systems 32 (2019).

Ismail, Aya Abdelsalam, et al.