Johannes Hoehne

This inventor holds 14 USPTO granted patents and 3 published patent applications, plus 1 CIPO patent and 9 EPO patents. Top assignees: Sap Se, Bayer Aktiengesellschaft. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Johannes Hoehne. Retrieved from https://idiyas.com/inventor/johannes-hoehne

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

USPTO Granted Patents = 14 (Patent Applications = 3)

% Patents Active = 100.0

CIPO Patents = 1

EPO Patents = 9 (Patent Applications = 8)

Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 23(Granted Patents)

Company Filing History:

Bayer Aktiengesellschaft

patents

Years Active: 2020-2026

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14 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12548647 - Method and apparatus for processing of multi-modal data (2026-02-10),

2. 12125075 - Classification of dangerous goods via machine learning (2024-10-22),

3. 11663635 - Classification of dangerous goods via machine learning (2023-05-30),

4. 11341760 - Form processing and analysis system (2022-05-24),

5. 11302108 - Rotation and scaling for optical character recognition using end-to-end deep learning (2022-04-12),

6. 11301627 - Contextualized character recognition system (2022-04-12),

7. 11281928 - Querying semantic data from unstructured documents (2022-03-22),

8. 11275969 - Visually-aware encodings for characters (2022-03-15),

9. 11244208 - Two-dimensional document processing (2022-02-08),

10. 10915788 - Optical character recognition using end-to-end deep learning (2021-02-09),

11. 10915786 - Object detection and candidate filtering system (2021-02-09),

12. 10846553 - Recognizing typewritten and handwritten characters using end-to-end deep learning (2020-11-24),

13. 10783377 - Visually similar scene retrieval using coordinate data (2020-09-22),

14. 10540579 - Two-dimensional document processing (2020-01-21),

Title: Innovations of Johannes Hoehne

Introduction

Johannes Hoehne is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of machine learning, particularly in the classification of dangerous goods. With a total of 13 patents to his name, Hoehne continues to push the boundaries of innovation in his industry.

Latest Patents

One of his latest patents focuses on the classification of dangerous goods via machine learning. This innovative system and method can identify whether an item is classified as a dangerous good. The system determines if a product belongs to various classes of dangerous goods based on multiple regulations. It utilizes a machine learning algorithm that performs text-based classification. The method includes receiving an identification of an object, retrieving descriptive attributes from a data store, and converting these attributes into an input string. The algorithm then predicts whether the object is dangerous and outputs the prediction for display via a user interface.

Career Highlights

Johannes Hoehne is currently employed at SAP SE, where he applies his expertise in machine learning and innovation. His work has garnered attention for its practical applications in safety and regulatory compliance.

Collaborations

Some of his notable coworkers include Anoop Raveendra Katti and Christian Reisswig, who contribute to the collaborative environment that fosters innovation at SAP SE.

Conclusion

Johannes Hoehne's work exemplifies the intersection of technology and safety through innovative machine learning solutions. His contributions continue to impact the classification of dangerous goods, showcasing the importance of innovation in today's world.

Profile summary based on public USPTO records.