Cambridge, MA, United States of America

Alvin Chen

This inventor holds 23 USPTO granted patents and 23 published patent applications and 1 EPO patent, primarily in Ultrasound Imaging. Top assignees: Koninklijke Philips Corporation N.v., Rutgers, The State University of New Jersey, Koinklijke Philips N.V.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alvin Chen. Retrieved from https://idiyas.com/inventor/alvin-chen-r8a2iwa2

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

USPTO Granted Patents = 23 

% Patents Active = 87.0

 

Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Cambridge, MA (US) (2022 - 2024)
  • New Brunswick, NJ (US) (2024)

Company Filing History:


Years Active: 2022-2026

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Areas of Expertise:
Interventional Instrument
Photoacoustic Signal Analysis
Laser Catheter Treatment
Endoluminal Therapy
3D Tracking
Ultrasound Image Acquisition
Clinical Scoring
Percutaneous Cannulation
Device Localization
Dynamic Model Deformation
Noise Reduction
Closed-Loop Steering
23 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Alvin Chen in Cambridge, MA

Introduction

Alvin Chen, an accomplished inventor based in Cambridge, MA, has made significant contributions to the field of medical technology, particularly through his innovative designs that enhance interventional medical procedures. With a total of ten patents to his name, Chen is known for his cutting-edge solutions that improve the functionality and effectiveness of medical devices.

Latest Patents

Among his most recent patents, Alvin Chen has developed two notable inventions. The first is a patent for "Dynamic Interventional Three-Dimensional Model Deformation," which describes a controller designed to assist navigation during interventional procedures. This controller employs a memory system and a processor to implement a process that includes generating a three-dimensional model from segmented pathways within a patient. It effectively adapts the model to the current position of a tracked device, ensuring precise navigation.

The second patent, "Passive-Ultrasound-Sensor-Based Initialization for Image-Based Device Segmentation," focuses on enhancing the shape determination of medical devices during an intervention. This invention utilizes a controller that processes imagery to accurately segment and overlay the representation of the medical device based on its location, thereby improving the clarity and ease of use for medical professionals.

Career Highlights

Alvin Chen is currently employed at Koninklijke Philips Corporation N.V., where his expertise in medical technology is greatly valued. His work at Philips encompasses a commitment to innovation and excellence in the healthcare sector. Throughout his career, Chen has displayed a profound understanding of the technical challenges faced in interventional procedures and has dedicated his efforts to creating solutions that address these challenges.

Collaborations

In the realm of innovation, collaboration often leads to remarkable advancements. Alvin Chen has had the opportunity to work alongside talented professionals such as Shyam Bharat and Kunal Vaidya. Together, they contribute to the dynamic environment of Philips, driving forward the boundaries of medical technology through collaboration and shared expertise.

Conclusion

In conclusion, Alvin Chen is a notable inventor whose work is making a significant impact on the field of medical technology. With ten patents to his name and innovative products that enhance interventional procedures, Chen's contributions will likely continue to shape the future of healthcare. His collaborations with other skilled professionals further enrich his contributions, making him a key player in the ongoing quest for innovation in medical devices.

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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