Antil Studying Structure Preserving Optimization Algorithms & Digital Twins
Harbir Antil, Professor, Mathematical Sciences, College of Science, received funding from the National Science Foundation to study partial differential equation (PDE)-constrained optimization problems that incorporate data to make decisions in the presence of uncertainty arising from modeling unknown quantities.
The proposed methods support various application areas, including digital twins where physics and data are fused to support decision making.
One graduate student will be supported by the project and the research results will be shared with the community via publications and research talks.
The outcomes of this research will benefit scientists working in multiple research areas such as numerical analysis, optimization, structural engineering, and bioengineering.
Antil received $275,000 from NSF for this project. Funding began in Aug. 2024 and will end in late July 2027.
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