• E. Cawi, P.S. La Rosa, and A. Nehorai, “Conditions for Separability of Machine Learning Workflows”, submitted, Journal of Artificial Intelligence Research, 2020.

  • AMC Tukpah, E. Cawi (joint first), L. Wolf, A. Nehorai, L. Cummings-Vaughn, “Development of an Institution Specific Readmission Risk Prediction Model for Real-Time Prediction and Patient-Centered Interventions”, to appear in Journal of General, Internal Medicine, 2021.

  • E. Cawi, P. S. La Rosa, and A. Nehorai, "Designing machine learning workflows with an application to topological data analysis," PLOS ONE, Vol. 14, No. 12, pp. 1-26, Dec. 2019.

  • S. Srinivasan, E. Cawi, J. Hyman, H. Viswanathan, G. Srinivasan “Preserving network connectivity during system reduction of fracture networks via machine-learning”, accepted, Computational Methods for Water Resources, 2020.

  • S. Srinivasan , E. Cawi, J. Hyman, D. Osthus, A. Hagberg, H. Viswanathan, & G. Srinivasan. (2020). Physics-informed machine learning for backbone identification in discrete fracture networks. , 1-16.

  • Cassidy, A., Cawi, E., & Nehorai, A. (2017). A model for decision making under the influence of an artificial social network. , (1), 220-228.

  • Agcayazi, M. T., Cawi, E., Jurgenson, A., Ghassemi, P., & Cook, G. (2016, June). ResQuad: Toward a semi-autonomous wilderness search and rescue unmanned aerial system. In (pp. 898-904).