Jose Omar Betancourt
Voxel-based Methods for Modeling Multiphysics Processes
After receiving his B.S. in Mechanical Engineering from Boise State University, Omar joined MSOL on working with the AI Institute for Food Systems on modeling and simulating drone mapping and aerial drops, optimizing flight paths and payload distribution.
He is now a year-round intern for Sandia National Labs working on multi-physics modeling and simulation of thermochemical and mechanical processes in woven materials during hypersonic re-entry. In his spare time, Omar enjoys fishing and spending time with his cat.
Projects
Multiphysics Simulation of Ablative Woven Materials in Hypersonic Re-entry
A Computational Framework for Precise Aerial Agricultural Spray Delivery Processes
Optimization of Drone Swarm Mapping of Agricultrual Soil Sensors
Publications
J. O. Betancourt, I. Li, E. Mengi, L. Corrales, and T. Zohdi, “A Computational Framework for Precise Aerial Agricultural Spray Delivery Processes,” Archives of Computational Methods in Engineering (2024). https://doi.org/10.1007/s11831-024-10106-6
P. Goodrich, O. Betancourt, A. Arias, and T. Zohdi, “Optimal Placement of Agricultural Sensors Using Machine Learning ,” Computers and Electronics in Agriculture (2022). https://doi.org/10.1016/j.compag.2022.107591
L. Corrales, O. Betancourt, and T. Zohdi, “Optimizing UAV Flight Paths for Reading RFID Soil Sensors,” The Berkeley McNair Research Journal (2022).
A. Farizhandi, O. Betancourt, and M. Mamivand, “Deep Learning Approach for Chemistry and Processing History From Materials Microstructure: Application to Spinodal Decomposition,” Scientific Reports (2021). https://doi.org/10.1038/s41598-022-08484-7
D. Black, R. Harper, P. Ward, J. Davlin, J. Betancourt, D. Plumlee, and J. Browning, “A Cathode Support Structure for Use in a Magnetron Oscillator Experiment,” Int. J. Appl. Ceram. Technol. (2020). https://doi.org/10.1111/ijac.13581