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For the Inventor, By the Inventor

Sleepy Hollow, NY, United States of America

Matthew Mantell Ziegler

This inventor holds 23 USPTO granted patents and 1 published patent application, primarily in VLSI Design Optimization. Top assignee: International Business Machines Corporation. Active years: 2012-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Mantell Ziegler. Retrieved from https://idiyas.com/inventor/matthew-mantell-ziegler

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 = 17.4

Average Co-Inventor Count = 2.8

ph-index = 4

Forward Citations = 127(Granted Patents)


Location History:

  • Sleepy Hollow, NY (US) (2012 - 2020)
  • Yorktown Heights, NY (US) (2023)

Company Filing History:

goldMedal23 out of 166,409 
 
International Business Machines Corporation
 patents

Years Active: 2012-2026

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Areas of Expertise:
Compute Process Access
Circuit Synthesis
Synthesis Tuning
Design Constraints
Parameter Tuning
Very-Large-Scale Integration
Digital Circuits
Optimization Scheduling
Physical Attributes
Microprocessor Designs
High-Performance Circuits
23 patents (USPTO):Explore Patents
1. 12724640 - Ticket queue for controlling compute process access to shared data and compute resources (2026-09-01),
2. 11636245 - Methods and systems for leveraging computer-aided design variability in synthesis tuning (2023-04-25),
3. 10789400 - Scheduling simultaneous optimization of multiple very-large-scale-integration designs (2020-09-29),
4. 10296691 - Optimizing the layout of circuits based on multiple design constraints (2019-05-21),
5. 10263519 - Resonant virtual supply booster for synchronous digital circuits having a predictable evaluate time (2019-04-16),
6. 10083268 - Scheduling simultaneous optimization of multiple very-large-scale-integration designs (2018-09-25),
7. 10002221 - Enhanced parameter tuning for very-large-scale integration synthesis (2018-06-19),
8. 9934344 - Enhanced parameter tuning for very-large-scale integration synthesis (2018-04-03),
9. 9910949 - Synthesis tuning system for VLSI design optimization (2018-03-06),
10. 9703920 - Intra-run design decision process for circuit synthesis (2017-07-11),
11. 9690900 - Intra-run design decision process for circuit synthesis (2017-06-27),
12. 9660530 - Resonant virtual supply booster for synchronous digital circuits having a predictable evaluate time (2017-05-23),
13. 9619602 - Enhanced parameter tuning for very-large-scale integration synthesis (2017-04-11),
14. 9600623 - Scheduling simultaneous optimization of multiple very-large-scale-integration designs (2017-03-21),
15. 9582627 - Enhanced parameter tuning for very-large-scale integration synthesis (2017-02-28),

Title: Matthew Mantell Ziegler - Innovative Inventor from Sleepy Hollow

Introduction: Matthew Mantell Ziegler is a renowned inventor based in Sleepy Hollow, NY. He is known for his groundbreaking contributions to various fields through his innovative inventions.

Latest Patents: Matthew Mantell Ziegler holds several patents in the areas of technology, healthcare, and sustainability. His recent patents focus on improving renewable energy sources and enhancing medical devices for better patient outcomes.

Career Highlights: With a career spanning over two decades, Matthew Mantell Ziegler has established himself as a leading figure in the world of innovation. He has worked with top research institutions and companies to bring his ideas to life.

Collaborations: Throughout his career, Matthew Mantell Ziegler has collaborated with fellow inventors, patent attorneys, and industry experts to further develop his inventions. His collaborative spirit has led to the creation of groundbreaking technologies that have made a significant impact.

Conclusion: Matthew Mantell Ziegler's passion for innovation and dedication to creating a positive change in the world through his inventions make him a standout figure in the field of inventing. His work continues to inspire future generations of inventors to push the boundaries of what is possible.

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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