Gujarat, India

Ketan Jajal

This inventor holds 1 USPTO granted patent and 4 published patent applications and 1 EPO patent. Top assignee: Mako Surgical Corporation. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ketan Jajal. Retrieved from https://idiyas.com/inventor/ketan-jajal

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Ketan Jajal and Fiber Optic Tracking Innovation.

Introduction

Ketan Jajal is an inventor associated with Gujarat, India. His patent work includes a fiber optic tracking system designed to determine tissue position and pose.

Latest Patents

The provided information identifies one patent for Jajal: “Fiber Optic Tracking System.” The system uses a light source, two optical fibers, a sensing unit, and a controller. Each fiber contains sensing sections and a fixed sensing point positioned relative to tissue. When the fibers deform, their sensing sections modify the optical signals. The sensing unit receives those modified signals, and the controller uses them to locate the fixed sensing points in a working coordinate system and determine the tissue’s pose.

Career Highlights

Jajal is associated with Mako Surgical Corporation. His listed patent reflects work on optical sensing and tracking technology for determining tissue position.

Collaborations

Justin Gerges is identified as Jajal’s coworker. The available information does not specify their particular collaboration on the patent.

Conclusion

Ketan Jajal’s listed invention applies fiber optic sensing to tissue tracking, with the goal of determining tissue location and pose from optical signals.

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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