Kista, Sweden

Muhammad Mahboob Ur Rahman

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Huawei Technologies Co., Limited. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Muhammad Mahboob Ur Rahman. Retrieved from https://idiyas.com/inventor/muhammad-mahboob-ur-rahman

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2020

Loading Chart...
Loading Chart...
1 patent (USPTO):Explore Patents

Title: Muhammad Mahboob Ur Rahman - Innovative Inventor from Kista, SE

Introduction: Muhammad Mahboob Ur Rahman is a highly skilled inventor based in Kista, SE, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Rahman's latest patents focus on advancements in artificial intelligence, machine learning algorithms, and renewable energy technologies, showcasing his commitment to creating a more sustainable future through innovation.

Career Highlights: With a career spanning over two decades, Rahman has worked with leading tech companies and research institutions, playing a key role in developing cutting-edge solutions that have revolutionized various industries.

Collaborations: Rahman has collaborated with top engineers, scientists, and researchers from around the world, fostering a culture of innovation and knowledge sharing to address complex challenges and drive progress in the field of technology.

Conclusion: Muhammad Mahboob Ur Rahman's passion for innovation, coupled with his technical expertise and collaborative spirit, continues to inspire the next generation of inventors and shape the future of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…