Chapel Hill, NC, United States of America

Nicholas William Caira


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations of Nicholas William Caira in Computer Generated Holography

Introduction

Nicholas William Caira is an accomplished inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of computer generated holography, particularly through his innovative patent that utilizes convolutional neural networks. His work aims to enhance the speed and accuracy of holographic imaging, which has important applications in various advanced technologies.

Latest Patents

Caira holds a patent for "High-speed computer generated holography using convolutional neural networks." The goal of this invention is to synthesize custom illumination patterns by shaping the wavefront of a coherent light beam. Traditional algorithms for computer generated holography often face limitations due to the trade-off between hologram fidelity and computation speed. Caira's proposed algorithm, DeepCGH, eliminates the need for iterative exploration, allowing for the rapid synthesis of high-resolution holograms with fixed computational complexity. This unsupervised model can be tailored for specific tasks, demonstrating record speeds and improved accuracy compared to existing techniques.

Career Highlights

Caira is affiliated with the University of North Carolina at Chapel Hill, where he continues to advance research in holography and related fields. His innovative approach has positioned him as a key figure in the development of high-speed holographic technologies.

Collaborations

Caira has collaborated with notable colleagues, including Nicolas Christian Richard Pégard and Mohammad Hossein Eybposh. These partnerships have contributed to the advancement of his research and the successful implementation of his innovative ideas.

Conclusion

Nicholas William Caira's work in computer generated holography represents a significant advancement in the field, showcasing the potential of convolutional neural networks to revolutionize holographic imaging. His contributions are paving the way for future innovations in various applications, including optogenetic photostimulation and virtual reality displays.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…