This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Alliance Laundry Systems LLC. Active years: 2023-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2025
Title: Innovations by Stephane Serge Jean-Pierre Bodnar
Introduction
Stephane Serge Jean-Pierre Bodnar is an accomplished inventor based in Montaulin, France. He has made significant contributions to the field of laundry machine technology, particularly through the application of machine learning. With a total of two patents to his name, Bodnar is recognized for his innovative approaches to improving laundry machine operations.
Latest Patents
Bodnar's latest patents focus on monitoring laundry machine operation using machine learning analysis of acoustic transducer signal information. These patents describe a system and method for carrying out machine learning-based automated laundry machine error and degraded status detection. By utilizing acoustic sensor data rendered by the laundry machines, his inventions apply a plurality of machine learning models to enhance maintenance and operational efficiency.
Career Highlights
Bodnar is currently associated with Alliance Laundry Systems LLC, where he continues to develop and refine his innovative ideas. His work has positioned him as a key player in the advancement of laundry technology, particularly in the integration of machine learning for operational improvements.
Collaborations
Throughout his career, Bodnar has collaborated with notable colleagues, including Richard Baazi and Mathias Takahashi Albert. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in the laundry machine industry.
Conclusion
Stephane Serge Jean-Pierre Bodnar's contributions to laundry machine technology through his innovative patents demonstrate his commitment to enhancing operational efficiency. His work continues to influence the industry and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile