Lauren Christopher

Title: The Innovative Contributions of Lauren Christopher

Introduction

Lauren Christopher is a prominent inventor based in Indianapolis, IN (US). She has made significant strides in the field of technology, holding a total of six patents. Her work primarily focuses on advanced systems that integrate machine learning and directed energy for various applications.

Latest Patents

One of her latest patents involves systems and related methods employing directed energy and machine learning operable for enabling or protecting from non-destructive degradation or disruption of electro-optic(s) or sensors. Various embodiments of this invention can include artificial learning counter surveillance (ALCS) or self-protection surveillance systems (SPSS). The apparatuses and methods described include non-destructive electro-optic interference or protection systems, as well as non-destructive directed energy systems. Additionally, a control system and an analysis system are provided for determining an optical system of interest and generating degradation or disruption effects using various equipment items and machine learning systems. Furthermore, methods are also included for determining the degree of severity of degradation or disruption based on threshold definitions related to the ability to use the optical system of interest for one or more specified applications.

Another notable patent is for three-dimensional moving pictures with a single imager and microfluidic lens. This invention provides a method and system for determining the depth of an image using a single imager and a lens with a variable focal length. The system comprises a microfluidic lens controlled by a lens controller and an imager that receives an image of an object from the lens. The imager is configured to receive a first image comprising a first plurality of pixels from the lens at a first focal length and a second image comprising a second plurality of pixels from the lens at a second focal length, with the second focal length being different from the first. The system also includes non-volatile memory for storing the images and a depth module that determines the distance between the lens and the object based on a comparison of the two images.

Career Highlights

Lauren has worked with notable institutions such as Indiana University and Thomson Licensing. Her experience in these organizations has contributed to her innovative approach and understanding of complex technological challenges.

Collaborations

Some of her coworkers include Yan Sun and Mangilal Agarwal, who have collaborated with her on various projects.

Conclusion

Lauren Christopher's contributions to technology through her patents and innovative systems demonstrate her expertise and commitment to advancing the