This inventor holds 4 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignee: Sap Se. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2026
Title: Rohit Kumar Gupta: Innovator in Machine Learning for Dangerous Goods Classification
Introduction
Rohit Kumar Gupta is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the field of machine learning, particularly in the classification of dangerous goods. With a total of 4 patents to his name, Gupta is recognized for his innovative approaches to solving complex problems.
Latest Patents
One of Gupta's latest patents focuses on the classification of dangerous goods via machine learning. This system and method can identify whether an item is classified as a dangerous good. The technology 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
Rohit Kumar Gupta is currently employed at SAP SE, where he applies his expertise in machine learning to develop innovative solutions. His work has garnered attention for its practical applications in ensuring safety and compliance in handling dangerous goods.
Collaborations
Gupta collaborates with talented individuals such as Johannes Hoehne and Julian Stoettinger, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Rohit Kumar Gupta stands out as an inventor dedicated to enhancing safety through technology. His contributions to machine learning and dangerous goods classification reflect his commitment to innovation and problem-solving.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
