Dr. Shadi Sharba

- Automated simulation pipelines, reducing runtime by 90% - Achieved 100 times acceleration in model execution using custom machine learning methods - Extracted insights from multi-source datasets through advanced analysis and visualization - Delivered high-fidelity components of digital twins for industrial clients - Leveraged inverse modeling to optimize parametric models - Managed projects and prepared technical specifications in collaboration with stakeholders

- Built predictive numerical model for nonlinear composite material behavior - Streamlined object detection in 2D/3D images for synthetic replica generation - Developed a machine learning homogenization scheme for nonlinear materials - Enabled real-time simulations by cutting runtime 99% with sparse dictionary learning - Enhanced functionality of commercial software via mixed-language programming - Mentored and trained students in data processing courses

- Improved dataset processing efficiency by 20% by modernizing software packages for heterogenous data parsing

- Developed a predictive maintenance framework 100 times faster than standard solutions - Accelerated fatigue simulations via machine learning techniques with less than 2% prediction error - Conducted research as visiting scholar at ENS (École normale supérieure Paris-Saclay)

- Thesis: Data Supported Time Integration for Nonlinear Systems