Mohammad Hossein Eybposh

Title: Innovations of Mohammad Hossein Eybposh in Computer Generated Holography

Introduction

Mohammad Hossein Eybposh 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.

Latest Patents

Eybposh holds a patent for "High-speed computer generated holography using convolutional neural networks." The goal of this technology is to synthesize custom illumination patterns by shaping the wavefront of a coherent light beam. Traditional algorithms for computer generated holography often rely on iterative optimization, which presents a trade-off between hologram fidelity and computation speed. This limitation makes them less suitable for high-speed applications such as optogenetic photostimulation, optical trapping, or virtual reality displays. Eybposh's proposed algorithm, DeepCGH, leverages a convolutional neural network to eliminate the need for iterative exploration, allowing for the rapid synthesis of high-resolution holograms with fixed computational complexity. DeepCGH is an unsupervised model that can be customized for specific tasks using tailored training data sets and an explicit cost function. The results demonstrate that this method computes 3D holograms at record speeds and with improved accuracy compared to existing techniques.

Career Highlights

Eybposh is affiliated with the University of North Carolina at Chapel Hill, where he continues to advance research in holography and related fields. His work has garnered attention for its innovative approach and practical applications in various high-speed holography scenarios.

Collaborations

Eybposh has collaborated with notable colleagues, including Nicolas Christian Richard Pégard and Nicholas William Caira. Their joint efforts contribute to the advancement of technology in the field of holography.

Conclusion

Mohammad Hossein Eybposh's contributions to computer generated holography exemplify the intersection of innovation and technology. His work not only enhances the capabilities of holography but also paves the way for future advancements in the field.