This inventor holds 3 USPTO granted patents and 4 published patent applications and 2 EPO patents. Top assignee: Telefonaktiebolaget Lm Ericsson (Publ). Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Innovations by Hasan Farooq
Introduction
Hasan Farooq is an accomplished inventor based in Santa Clara, CA (US). He has made significant contributions to the field of machine learning and network optimization, holding a total of 3 patents. His work focuses on improving the efficiency of distributed systems and enhancing the performance of wireless networks.
Latest Patents
One of Hasan's latest patents is titled "Method for efficient distributed machine learning hyperparameter search." This innovative method involves a hyperparameter server that enhances hyperparameter search efficiency for devices in a self-organizing network (SON). The process includes sending configurations for data feature collection to edge devices, receiving hyperparameter performance data, and training a shared hyperparameter machine learning model using a global training database. This model identifies optimal hyperparameters for the edge devices.
Another notable patent is "Minimization of drive test report validation." This method is performed by a network node to validate minimization of drive test (MDT) reports. It involves receiving an MDT report from a wireless device, determining whether to validate it, and correlating it with reports from nearby devices. A trust score is calculated based on these correlations, and corrective actions are taken if the trust score falls below a validation threshold.
Career Highlights
Hasan Farooq is currently employed at Telefonaktiebolaget LM Ericsson (Publ), a leading telecommunications company. His work at Ericsson has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in network technology.
Collaborations
Hasan has collaborated with notable colleagues such as Julien Forgeat and Meral Shirazipour. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Hasan Farooq's contributions to the fields of machine learning and network optimization are noteworthy. His patents reflect a commitment to enhancing technology and improving efficiency in wireless networks. His work continues to influence the industry and pave the way for future innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
