Austin, TX, United States of America

Nicholas Kouris

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nicholas Kouris. Retrieved from https://idiyas.com/inventor/nicholas-kouris

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nicholas Kouris and Vehicle Parking Interface Innovation.

Introduction

Nicholas Kouris is an inventor based in Austin, Texas, and is associated with Tesla, Inc. His patent work addresses how vehicle systems can present information about nearby objects to support parking.

Latest Patents

Kouris is credited with 1 patent: “Enhanced User Interface Generation for Parking Based on Occupancy Machine Learning Models.” The invention describes obtaining images from multiple sensors positioned around a vehicle and processing them with an occupancy network. The system estimates whether an object is within a threshold distance in different angular ranges and estimates its distance. It can then display a graphical representation of the vehicle alongside this information.

Career Highlights

Kouris’s listed patent reflects work at the intersection of machine learning, vehicle sensing, and user-interface design. The approach is intended to make information about nearby objects available through a vehicle display.

Collaborations

Brandon Leung and Lewey Geselowitz are identified as Kouris’s coworkers. The provided information does not specify their roles in the patent or the invention.

Conclusion

Nicholas Kouris’s patent describes a machine-learning-based parking interface that combines sensor imagery and distance estimates to help present nearby-object information to a vehicle’s driver.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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