Richard S Delk

Title: Innovations by Richard S. Delk

Introduction

Richard S. Delk is an accomplished inventor based in Irmo, South Carolina. He has made significant contributions to the field of wireless networks, holding three patents that leverage advanced machine learning techniques. His work focuses on improving the performance and reliability of radio access networks.

Latest Patents

One of Richard's latest patents is titled "Systems and methods for utilizing machine learning models to determine radio access network antenna performance impact." This invention involves a device that processes uplink physical resource block (PRB) interference data from a base station. It utilizes machine learning models to generate similarity score data and identify antenna issues, ultimately calculating an issue status and alignment score to guide corrective actions.

Another notable patent is "Systems and methods for utilizing machine learning and neural network models to identify issues in wireless networks." This invention describes a device that receives input data related to a wireless network and extracts relevant information to create PRB images. It employs multiple models to label these images, identify potential issues, and determine probability scores for detected issues, enabling proactive management of network performance.

Career Highlights

Richard S. Delk is currently employed at Verizon Patent and Licensing Inc., where he continues to innovate in the telecommunications sector. His expertise in machine learning and wireless technology has positioned him as a key contributor to the company's research and development efforts.

Collaborations

Richard has collaborated with notable colleagues, including Brian A. Ward and Christian Winter. Their combined expertise enhances the innovative capabilities within their projects at Verizon.

Conclusion

Richard S. Delk's contributions to the field of wireless networks through his patents demonstrate his commitment to advancing technology. His work not only addresses current challenges in network performance but also sets the stage for future innovations in the industry.