Somerville, MA, United States of America

Rui Ma

This inventor holds 28 USPTO granted patents and 1 published patent application, primarily in RF Power Amplifiers. Top assignee: Mitsubishi Electric Research Laboratories, Inc.. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rui Ma. Retrieved from https://idiyas.com/inventor/rui-ma-msndrr8s

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

USPTO Granted Patents = 28 

% Patents Active = 96.4

Average Co-Inventor Count = 3.2

ph-index = 5

Forward Citations = 83(Granted Patents)


Location History:

  • Somerville, MA (US) (2014 - 2017)
  • Lexington, MA (US) (2018 - 2020)
  • Cambridge, MA (US) (2015 - 2022)
  • Carlisle, MA (US) (2019 - 2024)

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
GaN Power Amplifier
Deep Reinforcement Learning
Digital Pre-Distortion
Beamforming Transmitter
Terahertz Positioning
Multi-Band Transmitter
Nonlinear Distortion
Wideband Doherty Amplifier
Output Matching Network
Learning-Based Autotuning
High Speed Digitized-RF
Digital Power Encoder
28 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Rui Ma

Introduction

Rui Ma is a distinguished innovator based in Somerville, MA, recognized for his significant contributions to digital power amplifier systems and deep learning-based technologies. With a remarkable portfolio of 27 patents, he continues to push the limits of innovation in his field.

Latest Patents

Ma's latest patents showcase his expertise in enhancing the performance of power amplifier systems. One notable patent, titled "Deep learning-based online adaptation of digital pre-distortion and power amplifier systems," presents an auto-tuning controller that improves the performance of power amplifiers. This innovative controller encompasses an interface configured to acquire input signal conditions from power amplifiers, along with a training circuit equipped with a processor and memory. The circuit manages a Digital Doherty amplifier (DDA) controller module, a digital pre-distortion (DPD) controller module, and a DDA-DPD neural network. It performs offline and online optimizations to generate optimal coefficients, thereby enhancing power amplifier efficiency and linearity.

Another patent, "Interactive online adaptation for digital pre-distortion and power amplifier system auto-tuning," furthers his achievements in this domain. This controller also aims to improve the power efficiency of digital power amplifiers (DPAs) by utilizing a data-driven optimization method to compute DPD coefficients and define a learning cost function. This function optimizes the DPA and DPD parameters via an adaptive controller, showcasing Ma's ability to integrate machine learning with power systems effectively.

Career Highlights

Rui Ma currently works for Mitsubishi Electric Research Laboratories, Inc., where he applies his innovative mindset to develop cutting-edge technologies. His work significantly impacts the field of digital power amplification and has garnered attention for its practical applications in enhancing device performance.

Collaborations

Collaborating with talented professionals, including Koon Hoo Teo and Daniel Antonio Da Costa Dinis, Ma has blended insights and expertise to strengthen his innovative projects. These collaborations foster an environment of creativity and impact, further contributing to advancements in technology.

Conclusion

Rui Ma stands out as an exceptional inventor whose work in digital pre-distortion and power amplifier technology has made a notable impact. His extensive portfolio of patents serves as a testament to his innovative spirit and commitment to development in the realm of electronics. As he continues to explore new horizons in his field, the contributions of Rui Ma will undoubtedly influence the future of power amplification technologies.

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]
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