This inventor holds 2 USPTO granted patents and 7 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 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: 2026
Title: Saeed Dabbaghchian: Innovator in Map Generation and Machine Learning
Introduction
Saeed Dabbaghchian is a notable inventor based in Bromma, Sweden. He has made significant contributions to the fields of map generation and machine learning. With a total of 2 patents, his work showcases innovative approaches to complex problems.
Latest Patents
One of his latest patents is titled "Geometry aware map generation model with polylines." This patent describes a method for generating a map by obtaining sensor data from various sensors. The method includes inputting this data into a map generation model to produce a vectorized map that represents features of the environment as polylines. The model ensures that changes in slope between consecutive line segments meet a specific threshold.
Another significant patent is "Multi-task transfer learning using weight divergence constraints." This invention provides techniques for training a machine learning model based on transfer learning principles. The method involves updating a model trained for one task to perform a second task while adhering to weight divergence constraints.
Career Highlights
Saeed Dabbaghchian is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and computing. His work at Qualcomm allows him to apply his expertise in developing advanced technologies.
Collaborations
Throughout his career, Saeed has collaborated with talented individuals such as Mohammadreza Malek-Mohammadi and Simon Ekman Von Huth. These collaborations have contributed to the advancement of his projects and innovations.
Conclusion
Saeed Dabbaghchian is a prominent inventor whose work in map generation and machine learning has led to valuable patents. His contributions continue to influence the technology landscape, showcasing the importance of innovation in solving complex challenges.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
