Princeton Junction, NJ, United States of America

Sanjeev Srivastava

This inventor holds 18 USPTO granted patents and 19 published patent applications, plus 2 CIPO patents and 12 EPO patents, primarily in Additive Manufacturing. Top assignees: Siemens Aktiengesellschaft, Siemens Corporation, Siemens Industry Software Gmbh. Active years: 2018-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanjeev Srivastava. Retrieved from https://idiyas.com/inventor/sanjeev-srivastava

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

USPTO Granted Patents = 18 (Patent Applications = 19)

% Patents Active = 94.4

CIPO Patents = 2 (Patent Applications = 2)

EPO Patents = 12 (Patent Applications = 24)

Average Co-Inventor Count = 3.4

ph-index = 3

Forward Citations = 21(Granted Patents)

Location History:

Princeton, NJ (US) (2018 - 2020)
Princeton Junction, NJ (US) (2020 - 2024)

Company Filing History:

9 out of 30,886

Siemens Aktiengesellschaft

Siemens Industry Software Gmbh

patents

4. 1 out of 41

Siemens Industry Software Nv

patents

5. 1 out of 960

Siemens Industry, Inc.

patents

6. 1 out of 853

The Florida State University Research Foundation, Inc.

patents

Years Active: 2018-2025

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Areas of Expertise:

Additive Manufacturing

Generative Design

Laser Powder Deposition

Multi-Agent Systems

Energy Management

Demand Response

Building Automation

Digital Twin

18 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12265375 - Manufacturing or controlling a technical system using an optimized parameter set (2025-04-01),

2. 11886779 - Accelerated simulation setup process using prior knowledge extraction for problem matching (2024-01-30),

3. 11467552 - Decentralized planning, scheduling and control of multi-agent flow control system (2022-10-11),

4. 11423189 - System for automated generative design synthesis using data from design tools and knowledge from a digital twin (2022-08-23),

5. 11403439 - Method and apparatus for robust reduction of shape error in laser powder deposition based additive manufacturing process due to uncertainty (2022-08-02),

6. 11347864 - Ace: assurance, composed and explained (2022-05-31),

7. 11328067 - System and method for threat impact characterization (2022-05-10),

8. 11328062 - Critical infrastructure forensics (2022-05-10),

9. 11199831 - Toolpath adjustments based on 3-dimensional scan data of physically manufactured parts (2021-12-14),

10. 10719895 - Building energy split calculation and visualization (2020-07-21),

11. 10614146 - Adaptive demand response method using batteries with commercial buildings for grid stability and sustainable growth (2020-04-07),

12. 10534875 - Optimized partitioning of solid 3D models for additive manufacturing (2020-01-14),

13. 10438305 - Building energy split calculation and visualization (2019-10-08),

14. 10309668 - Zonal demand control ventilation for a building (2019-06-04),

15. 10262090 - System and method for assessing the remaining useful life of an insulation system (2019-04-16),

Title: **Innovator Spotlight: Sanjeev Srivastava**

Introduction

Sanjeev Srivastava is a prominent inventor based in Princeton Junction, NJ, boasting an impressive portfolio of 18 patents. His contributions to the field of technical systems and simulation methodologies have significantly advanced the efficiency and efficacy of manufacturing processes.

Latest Patents

One of Sanjeev's latest inventions, titled “Manufacturing or Controlling a Technical System Using an Optimized Parameter Set,” outlines a computer-implemented method aimed at enhancing the control and manufacturing of technical systems. This method involves inputting diverse parameter sets and using a feasibility identifier to mark each as either feasible or non-feasible. By generating a computerized surrogate model based on feasible parameters, it subsequently determines an optimized parameter set that streamlines the process.

Another remarkable invention is the “Accelerated Simulation Setup Process Using Prior Knowledge Extraction for Problem Matching.” This system accelerates simulation setups by receiving descriptions of new problems and extracting relevant input and output data from previous simulations. It cleverly utilizes machine learning to infer solutions for new problems, thus conserving resources by eliminating unnecessary simulation execution.

Career Highlights

Sanjeev has forged a successful career through his innovative work with notable companies such as Siemens Aktiengesellschaft and Siemens Corporation. His efforts in these organizations have contributed to many technological advancements in manufacturing and simulation.

Collaborations

Throughout his career, Sanjeev has partnered with esteemed colleagues like Zhen Song and Lucia Mirabella. These collaborations have enabled him to enhance his work by sharing insights and developing innovative solutions together.

Conclusion

Sanjeev Srivastava continues to exemplify the spirit of innovation through his groundbreaking patents and collaborations. His contributions have not only advanced the field of technical systems but have also paved the way for more efficient manufacturing processes in the industry. His ongoing work promises to yield further advancements and inspire future innovations.

Profile summary based on public USPTO records.