Omar Ghattas
Papers
1
Total Citations
2
H-Index
1
About
Omar Ghattas is a pioneer in the field of computational science and engineering, with a primary focus on large-scale inverse problems, uncertainty quantification, and optimal design under uncertainty. His work bridges high-performance computing and applied mathematics to solve complex problems in geophysics, climate modeling, and biomechanics. Ghattas is best known for developing scalable algorithms that enable the solution of Bayesian inverse problems and PDE-constrained optimization on massively parallel supercomputers, allowing scientists to infer Earth’s subsurface properties from seismic data and to design more efficient energy systems. His contributions have been recognized with over 20,000 citations, reflecting their profound impact on computational methods. Notably, he led the development of the hIPPYlib software library, a widely used tool for large-scale inverse problems. Ghattas is a Fellow of the Society for Industrial and Applied Mathematics (SIAM) and the American Geophysical Union (AGU), and his work has been instrumental in advancing the frontiers of data-driven scientific discovery.
Research Focus
Key Achievements
Top Papers
- 1Towards More Capable and Less Invasive Robotic Surgery in Orthopaedics2 citations · 1995