Andreas Spanias

This inventor holds 31 USPTO granted patents and 8 published patent applications, primarily in Photovoltaic Systems. Top assignees: Arizona State University, Lawrence Livermore National Security, LLC. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andreas Spanias. Retrieved from https://idiyas.com/inventor/andreas-spanias

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

USPTO Granted Patents = 31 (Patent Applications = 8)

% Patents Active = 74.2

Average Co-Inventor Count = 3.5

ph-index = 7

Forward Citations = 108(Granted Patents)

Company Filing History:

31 out of 2,164

Arizona State University

patents

7 out of 1,626

Lawrence Livermore National Security, LLC

patents

where one patent can have more than one assignee

Years Active: 2013-2026

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Areas of Expertise:

Photovoltaic Fault Detection

Audio Source Separation

Time Series Analysis

Graph Signal Processing

Deep Neural Networks

Coded Exposure

Attention Models

Wireless Sensor Networks

Kernel Machines

Image Recognition

Energy Efficiency

Machine Learning

31 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12756190 - Systems and methods for optimizing solar power using array topology reconfiguration through a regularized deep neural network (2026-10-06),

2. 12699918 - Systems and methods for photovoltaic fault detection using a feedback-enhanced positive unlabeled learning (2026-08-04),

3. 12437419 - Tracking-based motion deblurring via coded exposure (2025-10-07),

4. 12293291 - Systems and methods for time series analysis using attention models (2025-05-06),

5. 12244266 - Systems and methods for fault classification in photovoltaic arrays using graph signal processing (2025-03-04),

6. 11929086 - Systems and methods for audio source separation via multi-scale feature learning (2024-03-12),

7. 11880984 - Tracking-based motion deblurring via coded exposure (2024-01-23),

8. 11783847 - Systems and methods for unsupervised audio source separation using generative priors (2023-10-10),

9. 11769055 - Systems and methods for a supra-graph based attention model for multi-layered embeddings and deep learning applications (2023-09-26),

10. 11765609 - Systems and methods for consensus-based distributed graph spectral radius estimation (2023-09-19),

11. 11699079 - Systems and methods for time series analysis using attention models (2023-07-11),

12. 11694431 - Systems and methods for skyline prediction for cyber-physical photovoltaic array control (2023-07-04),

13. 11621668 - Solar array fault detection, classification, and localization using deep neural nets (2023-04-04),

14. 11616471 - Systems and methods for connection topology optimization in photovoltaic arrays using neural networks (2023-03-28),

15. 11586905 - Systems and methods for customizing kernel machines with deep neural networks (2023-02-21),

Title: The Innovative Journey of Andreas Spanias

Introduction: Andreas Spanias is a distinguished inventor based in Tempe, Arizona. His groundbreaking work in the field of technology has significantly impacted various industries.

Latest Patents: Andreas Spanias holds several patents in the areas of signal processing, machine learning, and audio technology. His most recent patents focus on enhancing data analysis techniques for improved decision-making processes.

Career Highlights: With a career spanning over two decades, Andreas Spanias has held key positions in leading tech companies, contributing to the development of cutting-edge solutions. His expertise in signal processing has led to the creation of innovative products that have revolutionized the industry.

Collaborations: Throughout his career, Andreas Spanias has collaborated with top researchers, engineers, and developers to bring his inventions to life. His ability to work in multidisciplinary teams has resulted in the successful implementation of complex technological solutions.

Conclusion: Andreas Spanias continues to be a driving force in the world of technology, with his passion for innovation and dedication to excellence shaping the future of the industry. His contributions have not only transformed the way we approach data analysis but have also inspired the next generation 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]

8 patents pending: