White Plains, NY, United States of America

Martin J Hirzel

This inventor holds 49 USPTO granted patents and 9 published patent applications, primarily in Machine Learning Pipelines. Top assignee: International Business Machines Corporation. Active years: 2010-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Martin J Hirzel. Retrieved from https://idiyas.com/inventor/martin-j-hirzel

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

USPTO Granted Patents = 49 

% Patents Active = 42.9

Average Co-Inventor Count = 3.5

ph-index = 8

Forward Citations = 213(Granted Patents)


Location History:

  • Hawthorne, NY (US) (2012)
  • Yorktown Heights, NY (US) (2013)
  • White Plains, NY (US) (2010 - 2015)
  • Chappaqua, NY (US) (2023)
  • Ossining, NY (US) (2015 - 2024)

Company Filing History:


Years Active: 2010-2026

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Areas of Expertise:
Machine Learning
Data Pipeline
Conversational Agents
Optimization
Error Reduction
Event Processing
Chat Bots
Stream Processing
Adaptive Analytic
Data Parallelism
Macro Recording
Information Flow
49 patents (USPTO):Explore Patents

Title: The Innovations of Martin J Hirzel: A Pioneer in Machine Learning Technologies

Introduction

Martin J Hirzel, based in White Plains, NY, is an accomplished inventor with an impressive portfolio of 48 patents. His work primarily focuses on the intersection of computer science and machine learning, contributing significantly to advancements in these fields.

Latest Patents

Two of his latest patents showcase his innovative approaches in the realm of machine learning. The first patent, titled "Performing batched training for machine-learning pipelines," introduces a computer-implemented method for optimizing machine learning processes. This method involves identifying a machine learning pipeline along with multiple training data batches. It also explores creating a variety of tasks based on the identified pipeline and determining the execution order for these tasks using a resource usage-aware strategy.

Another notable patent is "Repairing machine learning pipelines," which aims to enhance the detection and correction of errors within machine learning pipelines. This approach entails generating various test instances of a target machine learning pipeline and assessing these instances for any failures in execution. The method identifies root causes of errors from the evaluated test instances and facilitates the creation of a remediated target pipeline based on these findings. The patent further outlines a process to output the corrected machine learning pipelines, marking a significant step toward reliable machine learning technologies.

Career Highlights

Martin J Hirzel’s career is marked by his involvement with renowned organizations, particularly his tenure at IBM (International Business Machines Corporation). His contributions to the field of machine learning have not only earned him an extensive number of patents but also recognition as a key player in technological advancements.

Collaborations

Throughout his professional journey, Martin has collaborated with esteemed colleagues such as Avraham Ever Shinnar and Jerome Simeon. These partnerships have empowered his research endeavors, facilitating the development of groundbreaking solutions in machine learning.

Conclusion

Martin J Hirzel’s contributions to machine learning through his numerous patents reflect his dedication to innovation. His work continues to influence the industry, paving the way for future advancements in technology and machine learning applications. As the field evolves, Hirzel’s inventions serve as a cornerstone for ongoing research and development.

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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