Zurich, Switzerland

Christopher Richard Schroers

This inventor holds 67 USPTO granted patents and 43 published patent applications and 4 EPO patents, primarily in Video Compression. Top assignees: Disney Enterprises, Inc., ETH Zurich, Eth Zürich (Eidgenössische Technische Hochschule Zürich). Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christopher Richard Schroers. Retrieved from https://idiyas.com/inventor/christopher-richard-schroers

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

USPTO Granted Patents = 67 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.8

ph-index = 6

Forward Citations = 137(Granted Patents)

Forward Citations (Not Self Cited) = 80(Dec 10, 2025)


Location History:

  • Saarbrücken, DE (2019)
  • Glendale, CA (US) (2021)
  • Zurich, CH (2020 - 2023)
  • Ulster, CH (2023)
  • Zürich, CH (2018 - 2024)
  • Uster, CH (2023 - 2024)

Company Filing History:


Years Active: 2018-2026

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Areas of Expertise:
Video Compression
Deep Learning
Frame Interpolation
Video Rendering
Face Swapping
Image Enhancement
Audio Synchronization
Content Optimization
Neural Networks
3D Rendering
Artifact Assessment
Multi-Camera Techniques
67 patents (USPTO):Explore Patents

Title: **Innovative Contributions of Christopher Richard Schroers in Technology**

Introduction

Christopher Richard Schroers, based in Zurich, Switzerland, is a prolific inventor known for his significant contributions to technology, holding a remarkable total of 38 patents. His work primarily revolves around optimizing content insertion in media programs and enhancing data object classification systems, showcasing his expertise in integrating audio, video characteristics, and advanced neural network functionalities.

Latest Patents

One of Schroers' latest patents focuses on **optimizing insertion points for content based on audio and video characteristics**. This innovative technique involves identifying multiple markers within a media program and analyzing audio characteristics of intervals preceding and succeeding these markers. By generating scores based on these characteristics, the method allows for strategically inserting additional content at optimal points within the media.

Another notable patent is related to **data object classification using an optimized neural network**. This invention features a computing platform that leverages a multi-layer neural network. The system evaluates different combinations of candidate functions for its last activation and loss layers to determine the best setup for classifying data objects. This approach enhances the efficiency of neural networks in processing and classifying complex datasets.

Career Highlights

Throughout his career, Christopher has worked with prominent organizations, including Disney Enterprises, Inc., where he likely contributed his innovative insights in technology applications. Additionally, he has been associated with ETH Zurich, a leading research university, further reinforcing his academic and practical expertise in his field.

Collaborations

Schroers has collaborated with various talented professionals, including coworkers Abdelaziz Djelouah and Leonhard Markus Helminger. These partnerships reflect his ability to work collaboratively within diverse teams, fostering innovation and developing cutting-edge technological solutions.

Conclusion

Christopher Richard Schroers exemplifies the spirit of innovation in technology through his impressive portfolio of patents and collaborative efforts in leading organizations. His work continues to influence the advancements in media content optimization and neural network classification, positioning him as a pivotal figure in the realm of technological inventions.

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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