“If you seek profit, you may succeed. If you seek to be of service, you will profit.”

Basics Make the Difference

The choice of mathematical techniques used for engineering problem solving and optimization methods is an art as well as science that builds upon our creativity, intuition, and insight. These are skills that keep us competitive even as ML and AI are employed to develop incredible solutions using big data. Nonetheless, for solutions to challenges anticipated in future years, it is and will likely remain a human endeavor. Data is usually sparse and our human traits of imagination and abstract thinking are essential. Even though we have instant access to an enormous amount of information, our ability to digest historical information and separate deep fakes from ground truth depends on our basic knowledge of science and mathematics, making the basics more valuable today than ever before.
 

The Science of Optimization

Optimization is the procedure used to make a system or design as effective or functional as possible. It is engineering that bridges our empirical knowledge of the world, mathematics, and computer science with Modeling and Simulation (M&S). It is problem solving using analytical, and computational ML and AI.

At AO, we develop and analyze algorithms, and develop scientific software to solve interdisciplinary problems in engineering, statistics, probability, and process control in the fields of nonlinear material behavior, signal processing, sensor technologies, photonic crystals, and optics hardware.