Juan C Lasheras

La Jolla, CA, United States of America

Juan C Lasheras

This inventor holds 54 USPTO granted patents and 4 published patent applications and 1 EPO patent, primarily in Deep Learning Applications. Top assignees: Innercool Therapies, Inc., Standard Cognition, Corp.. Active years: 2000-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Juan C Lasheras. Retrieved from https://idiyas.com/inventor/juan-c-lasheras

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

Calculating rank
USPTO Granted Patents = 54 

% Patents Active = 77.8

 

Average Co-Inventor Count = 2.6

ph-index = 35

Forward Citations = 3,796(Granted Patents)

Forward Citations (Not Self Cited) = 3,587(Dec 10, 2025)


Location History:

  • San Diego, CA (US) (2001 - 2004)
  • La Jolla, CA (US) (2000 - 2012)
  • San Francisco, CA (US) (2018 - 2024)

Company Filing History:


Years Active: 2000-2024

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Areas of Expertise:
Deep Learning
Shopper Tracking
Selective Organ Cooling
Image Recognition
Temperature Management
Inflatable Catheter
Machine Learning
Inventory Prediction
Therapeutic Heating
Cashier-less Store
Subject Tracking
Patient Temperature Regulation
54 patents (USPTO):Explore Patents

Title: Innovations by Juan C. Lasheras: A Leader in Smart Inventory Solutions

Introduction

Juan C. Lasheras is a highly accomplished inventor residing in La Jolla, California. With an impressive portfolio that includes 54 patents, Lasheras has made significant contributions to the field of inventory management and tracking systems. His innovative approach combines advanced sensing technologies and deep learning methodologies to enhance the efficiency of inventory identification and management processes.

Latest Patents

Among his latest patents, one noteworthy invention is the method for identifying inventory items using multiple confidence levels. This innovative approach utilizes various sensors to generate outputs that help ascertain the identity of inventory items through confidence levels. By independently analyzing sensor outputs, his method adeptly categorizes items, improving accuracy in inventory management.

Another significant patent is for systems and methods for deep learning-based shopper tracking. This invention employs overlapping camera fields to monitor inventory transactions in real time. By processing sequences of images, the system employs sophisticated image recognition engines to track individual subjects and classify changes within the inventory, facilitating better operational insights for retailers.

Career Highlights

Throughout his career, Lasheras has worked with esteemed companies, including Innercool Therapies and Standard Cognition Corporation. His experience in these organizations highlights his capability to translate complex technical concepts into practical applications within commercial settings.

Collaborations

Juan C. Lasheras has collaborated with notable individuals in the field, including John Daniel Dobak III and Randell Louis Werneth. Their combined expertise has undoubtedly influenced the innovative solutions and advancements achieved throughout his career.

Conclusion

With a dedication to improving inventory management through cutting-edge technology, Juan C. Lasheras stands out as a significant figure in the realm of innovation. His patents not only represent his inventive prowess but also contribute to the evolution of smart inventory systems, benefiting companies and consumers alike.

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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