This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Samsung Electronics Ltd.. 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 by Mohammad Vahid Jamali
Introduction
Mohammad Vahid Jamali is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of technology, particularly in the area of neural encoding. His innovative work has led to the development of a unique patent that enhances the efficiency of data transmission.
Latest Patents
One of his notable patents is titled "Method and system for rate-matching auto-encoders." This invention provides a method and system in which a message is encoded by a neural encoder to generate a codeword with a specific length corresponding to a designated code rate. The process involves repeating or puncturing components of the codeword to create a rate-matched codeword, which is then estimated and modified for decoding. This advancement is crucial for improving the performance of neural decoders.
Career Highlights
Mohammad Vahid Jamali is currently employed at Samsung Electronics Ltd., where he continues to push the boundaries of technology. His work at Samsung has allowed him to collaborate with other talented professionals in the field, contributing to the company's innovative projects.
Collaborations
Some of his notable coworkers include Linfang Wang and Jung Hyun Bae. Their collective expertise fosters a dynamic environment for innovation and development.
Conclusion
In summary, Mohammad Vahid Jamali is a prominent inventor whose work in neural encoding has led to significant advancements in technology. His contributions, particularly through his patent, demonstrate his commitment to innovation and excellence in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile