Éder Sousa is an aerospace and data engineer at the RAND Corporation. His research interests are in acquisition of defense systems for the Air Force focusing in propulsion and hypersonic systems, space science and technology, machine learning and data science, and nuclear fusion energy.
Prior to joining RAND, he was a computational scientist at Engineering Research and Consulting Inc. at the Air Force Research Laboratory (Rocket lab) in Edwards AFB. There, he conducted multi-fluid modeling and simulations for advanced plasma propulsion concepts, and used machine learning algorithms to determine their best operating conditions.
Triezenberg, Bonnie L., Colby P. Steiner, Grant Johnson, Jonathan Cham, Éder Sousa, Moon Kim, and Mary Kate Adgie, Assessing the Impact of U.S. Air Force National Security Space Launch Acquisition Decisions: An Independent Analysis of the Global Heavy Lift Launch Market, RAND Corporation (RR-4251-AF), 2020
R.J.E. Abrantes, É. Sousa, D. Bilyeu, R.Martin, "Complexity-reduction using automatic level grouping for atomic collisional-radiative models," Journal of Computational Physics, 407(109213), 2020
E.M. Sousa and U. Shumlak, "A blended continuous–discontinuous finite element method for solving the multi-fluid plasma model," Journal of Computational Physics, (326), 2016
E.M. Sousa, G. Lin, and U. Shumlak, "Uncertainty quantification of the gem challenge magnetic reconnection problem using the multi-level monte carlo method," International Journal for Uncertainty Quantification, 5(4), 2015
U. Shumlak, R. Lilly, N. Reddell, E. Sousa, and B. Srinivasan, "Advanced physics calculations using a multi-fluid plasma model," Computer Physics Communications, 2011