Knoxville, TN, United States of America

Bryan P Maldonado

This inventor holds 1 USPTO granted patent. Top assignee: Ut-Battelle, Inc.. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Bryan P. Maldonado in Building Envelope Segmentation

Introduction

Bryan P. Maldonado is an innovative inventor based in Knoxville, TN (US). He has made significant contributions to the field of construction technology, particularly in the area of building envelope segmentation. His work focuses on improving the efficiency of modern retrofit construction practices through advanced algorithms.

Latest Patents

Bryan holds a patent for an invention titled "Automatic Point Cloud Building Envelope Segmentation (Auto-CuBES) Using Machine Learning." This invention addresses the labor-intensive process of manually segmenting 3D point cloud data to identify and measure architectural features such as window and door openings. The Auto-CuBES algorithm utilizes unsupervised machine learning methods to automate this process, significantly reducing the time required for point cloud segmentation. The algorithm takes a 3D point cloud generated by surveying equipment and produces a dimensioned wire-frame model of the building envelope. Additionally, it can generate heat maps indicating nonplanar characteristics, which are valuable for optimizing connections in overclad envelope retrofits. Bryan has 1 patent to his name.

Career Highlights

Bryan is currently employed at UT-Battelle, Inc., where he continues to develop innovative solutions in the construction industry. His work has been instrumental in advancing the use of machine learning in building design and retrofitting.

Collaborations

Bryan collaborates with talented professionals in his field, including Nolan W. Hayes and Diana Hun. Their combined expertise contributes to the success of their projects and the advancement of technology in construction.

Conclusion

Bryan P. Maldonado's contributions to building envelope segmentation through his Auto-CuBES invention exemplify the potential of machine learning in modern construction practices. His work not only streamlines processes but also enhances the accuracy and efficiency of building retrofits.

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