This inventor holds 2 USPTO granted patents. Top assignee: Drexel University. Active years: 2009-2011.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Philadelphia, PA (US) (2009)
- Jenkintown, PA (US) (2011)
Company Filing History:
Years Active: 2009-2011
Title: The Innovations of Leonard Sieger
Introduction
Leonard Sieger is an accomplished inventor based in Jenkintown, PA (US). He has made significant contributions to the field of engineering through his innovative patents. With a total of 2 patents, Sieger's work focuses on enhancing the capabilities of automated classification systems in 3D CAD models.
Latest Patents
One of Sieger's latest patents is titled "Automated Learning of Model Classifications." This method provides an automated classifier for 3D CAD models, utilizing an algorithm that learns new classifications. The innovation allows existing model comparison algorithms to adapt to various classifications that are pertinent in numerous engineering applications. This adaptability enhances flexibility in data searching and data mining of engineering data.
Career Highlights
Leonard Sieger is affiliated with Drexel University, where he continues to push the boundaries of engineering and technology. His work has been instrumental in developing systems that improve the efficiency and effectiveness of engineering data management.
Collaborations
Some of his notable coworkers include William C Regli and Cheuk Yiu Ip, who have collaborated with Sieger on various projects, contributing to the advancement of engineering technologies.
Conclusion
Leonard Sieger's contributions to the field of engineering through his innovative patents demonstrate his commitment to advancing technology. His work in automated learning and model classifications is paving the way for more efficient engineering applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
