Sergio Amaral Email and Phone Number

As a postdoctoral associate I studied multi-stage stochastic programming formulations such as the multi-armed bandit problem with application to optimal systems design under uncertainty.

My research focused on the propagation of uncertainty through a complex system composed of multiple components. We proposed a different vision for system-level uncertainty quantification-decomposition of the system-level uncertainty quantification task, performing uncertainty quantification on the respective models individually, and synthesizing this information to quantify uncertainty at the system level.

I entered General Electric Energy as an Entry Level Engineer. • Managed to overcome a high learning curve and establish a strong understanding of their design process and software packages. • Assigned 1st stage gas turbine blades to design and analyze. A turbine component which is given to engineers with more years of experience. • Implemented Computational Aided Design (CAD) based design with Computational Fluid Dynamics (CFD) to design and analyze 1st stage gas turbine blades for improved performance and durability. • Developed an in-house tools suite to substantially improve the turn around time of a gas turbine blade design. • Implemented design and optimization with the use of the in-house tools suite developed by General Electric Energy and myself.• Obtained 5 patents along with fellows General Electric Energy engineers for our contributions to gas turbine blade cooling designs.