This inventor holds 1 USPTO granted patent and 2 published patent applications and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. 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: Innovations in Machine Learning by Babak Naderi
Introduction
Babak Naderi is an accomplished inventor based in Berlin, Germany. He has made significant contributions to the field of machine learning, particularly in the area of adaptive post-processing for conferencing tools. His innovative approach aims to enhance video quality while optimizing network bandwidth usage.
Latest Patents
Babak Naderi holds a patent for "Machine learning models for adaptive post-processing using results of scenario detection in conferencing tools." This patent describes advancements in machine learning models that improve the post-processing of decoded video. For instance, a super-resolution/video restoration model can increase spatial resolution and mitigate compression artifacts. Additionally, a video restoration model can address compression artifacts without altering spatial resolution. These innovations allow conferencing tools to deliver higher quality video without significantly increasing network bandwidth consumption.
Career Highlights
Throughout his career, Babak Naderi has worked with notable companies such as Microsoft Technology Licensing, LLC and Deutsche Telekom AG. His experience in these organizations has contributed to his expertise in developing cutting-edge technologies in the field of video conferencing and machine learning.
Collaborations
Babak has collaborated with various professionals in his field, including Nabakumar Singh Khongbantabam. Their joint efforts have further advanced the innovations in machine learning and video processing.
Conclusion
Babak Naderi's work in machine learning and video conferencing represents a significant step forward in enhancing video quality while managing network resources effectively. His contributions continue to influence the development of more efficient conferencing tools.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
