Ann Arbor, MI, United States of America

Paul Donald Schmalenberg

This inventor holds 80 USPTO granted patents and 33 published patent applications, primarily in Lidar Technology (CPC class G01S). Top assignees: Toyota Motor Engineering & Manufacturing North America, Inc., Georgia Tech Research Corporation, Michigan Technological University. Active years: 2010-2026.

USPTO Granted Patents = 80 

% Patents Active = 72.5

Average Co-Inventor Count = 2.3

ph-index = 10

Forward Citations = 334(Granted Patents)

Forward Citations (Not Self Cited) = 288(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Pittsburg, PA (US) (2023)
  • Ann Arbor, MI (US) (2010 - 2024)
  • Pittsburgh, PA (US) (2023 - 2024)

Company Filing History:


Years Active: 2010-2026

Loading Chart...
Areas of Expertise:
Vehicle Health Monitoring
Lidar Systems
Object Detection
Magnetic Sensors
Optical Sensing
Neural Networks
Photonic Components
Autonomous Vehicles
Biosensing Interfaces
Dynamic Range Enhancement
Gesture Interpretation
Photonic Metasurfaces
80 patents (USPTO):Explore Patents

Title: Paul Donald Schmalenberg: Innovator in Optical Technologies

Introduction

Paul Donald Schmalenberg, based in Ann Arbor, MI, has established himself as a notable inventor with an impressive portfolio of 74 patents. His work primarily focuses on advancements in optical technologies, particularly in machine perception systems and deep learning algorithms.

Latest Patents

Among his recent innovations are two significant patents. The first is an "Optical sense-compute solution for real-time navigation involving multiple vehicles." This patent details a real-time machine perception system designed for vehicles operating in conflict zone environments, featuring an optical sensor and an optical processing component that can solve complex non-linear control problems. The second is an "Adaptable optical neural network system," which relates to a photonic apparatus that includes an optical input and an optical neural network (ONN). This system is capable of performing sophisticated optical processing using deep learning algorithms, providing a modular approach to enhance optical technologies.

Career Highlights

Throughout his career, Paul has made significant contributions while working with renowned organizations such as Toyota Motor Engineering & Manufacturing North America, Inc., and Michigan Technological University. His experience in these esteemed institutions has allowed him to further develop his expertise in optical systems and machine perception technology.

Collaborations

Paul has collaborated with notable professionals in his field, including Jae Seung Lee and Ercan Mehmet Dede. Their collaborative efforts have likely played a pivotal role in the innovation and development of advanced optical technologies.

Conclusion

Paul Donald Schmalenberg's dedication to innovation in optical technologies and his extensive patent portfolio underscore his impact on the field. His contributions not only advance machine perception systems but also pave the way for future developments in navigation and deep learning applications.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
Loading…