Wael H. Ali
Wael is a third-year graduate student in the MechE-CSE PhD program. His research interests
span the fields of computational engineering, uncertainty quantification and data assimilation.
His current work focuses on the efficient modeling of ocean acoustic waves propagation and
signal tomography in the presence of environmental uncertainties, with the goal of using these
tools to develop an underwater GPS system.
Before joining MIT, Wael spent four fruitful years at the American University of Beirut (AUB),
where he had the opportunity to refine his interests in the history and archaeology of Lebanon
and the Middle East.
He is currently working on:
- Surface Dynamic Uncertainty Characterization and Transfer (S-DUCT)
- Precision Ocean Interrogation, Navigation, and Timing (POINT) POSYDON-MIT
- Red Sea Initiative
- Kulkarni, C.S., P.J. Haley, Jr., P. F. J. Lermusiaux, A. Dutt, A. Gupta, C. Mirabito, D.N. Subramani, S. Jana, W.H. Ali, T. Peacock, C.M. Royo, A. Rzeznik, and R. Supekar, 2018. Real-Time Sediment Plume Modeling in the Southern California Bight. In: Oceans ’18 MTS/IEEE Charleston, 22-25 October 2018.
- Lermusiaux, P.F.J., P.J. Haley Jr., S. Jana, A. Gupta, C.S. Kulkarni, C. Mirabito, W.H. Ali, D.N. Subramani, A. Dutt, J. Lin, A. Y. Shcherbina, C. M. Lee, and A. Gangopadhyay, 2017. Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea. Oceanography 30(2):172–185, https://doi.org/10.5670/oceanog.2017.242.
- Lermusiaux, P.F.J., D.N. Subramani, J. Lin, C.S. Kulkarni, A. Gupta, A. Dutt, T. Lolla, P.J. Haley Jr., W.H. Ali, C. Mirabito, and S. Jana, 2017. A Future for Intelligent Autonomous Ocean Observing Systems. The Sea. Volume 17, The Science of Ocean Prediction, Part 2, J. Marine Res. 75(6), pp. 765–813. https://doi.org/10.1357/002224017823524035