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For the Inventor, By the Inventor

New York, NY, United States of America

Danil Nagy

This inventor holds 29 USPTO granted patents and 4 published patent applications and 1 EPO patent, primarily in Generative Design Techniques. Top assignees: Autodesk, Inc., Silverstein Properties, Inc.. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Danil Nagy. Retrieved from https://idiyas.com/inventor/danil-nagy

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

USPTO Granted Patents = 29 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 33(Granted Patents)


Company Filing History:

goldMedal28 out of 1,269 
 
Autodesk, Inc.
 patents
silverMedal1 out of 1 
 
Silverstein Properties, Inc.
 patent

Years Active: 2019-2025

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Areas of Expertise:
Urban Design
Automobile Design
Architectural Optimization
Generative Design
Deep Learning
Neural Networks
Data-Driven Design
Lattice Structure Optimization
Graph-Based Representations
Complex Mechanical Assemblies
Construction Operations
29 patents (USPTO):Explore Patents
1. 12499288 - Techniques for automatically generating urban and neighborhood designs (2025-12-16),
2. 12190022 - Generative design techniques for automobile designs (2025-01-07),
3. 12147737 - Generative design pipeline for urban and neighborhood planning (2024-11-19),
4. 12141504 - Techniques for automatically analyzing competing design objectives when generating designs for urban design projects (2024-11-12),
5. 12112100 - Techniques for automatically generating designs having characteristic topologies for urban design projects (2024-10-08),
6. 11922099 - Techniques for automatically generating designs having characteristic topologies for urban design projects (2024-03-05),
7. 11886776 - Techniques for generating graph-based representations of complex mechanical assemblies (2024-01-30),
8. 11842262 - Techniques for analyzing vehicle design deviations using deep learning with neural networks (2023-12-12),
9. 11775709 - Techniques for generating comprehensive information models for automobile designs (2023-10-03),
10. 11748527 - Automated generation and evaluation of architectural designs (2023-09-05),
11. 11727166 - Techniques for generating graph-based representations of complex mechanical assemblies (2023-08-15),
12. 11704450 - Systems and methods for generating data-driven optimized architectural design (2023-07-18),
13. 11640487 - Computer-implemented method for space frame design, space frame construction kit and space frame (2023-05-02),
14. 11501029 - Designing objects using lattice structure optimization (2022-11-15),
15. 11475178 - Generative design techniques for automobile designs (2022-10-18),

Title: **Danil Nagy: Innovator in Generative Design Technologies**

Introduction

Danil Nagy, based in New York, NY, is a prominent inventor known for his expertise in generative design techniques, particularly in the automotive and urban planning sectors. With an impressive portfolio of 28 patents, his innovative work has made significant contributions to the fields of design and engineering.

Latest Patents

One of his latest patents involves **Generative design techniques for automobile designs**. This invention focuses on a generative design application that optimizes automotive designs by computing metric values based on specific design goals and parameterized models. The application streamlines the design process, enabling faster generation and evaluation of designs compared to traditional methods.

Another notable patent is the **Generative design pipeline for urban and neighborhood planning**. This innovative pipeline automates the generation of design options for urban projects. It consists of a geometry engine that analyzes design criteria and objectives, generating multiple candidate designs, while an evaluation engine assesses these designs to better meet the desired goals.

Career Highlights

Danil has had a notable career, contributing his talents to companies such as Autodesk, Inc. and Silverstein Properties, Inc. His experience at these organizations has allowed him to work on groundbreaking projects and refine his skills in generative design and innovation.

Collaborations

Throughout his career, Danil has collaborated with other talented professionals, including David Benjamin and James Stoddart. These partnerships have fostered a creative environment that has propelled the innovation of their projects forward.

Conclusion

Danil Nagy continues to be a driving force in the realms of generative design, with his patents reflecting his commitment to improving design processes in automotive and urban environments. His work not only advances the field of design but also sets a foundation for future innovations that can significantly impact society.

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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