Dongjin Song

This inventor holds 25 USPTO granted patents and 7 published patent applications, primarily in Anomaly Detection. Top assignee: Nec Corporation. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dongjin Song. Retrieved from https://idiyas.com/inventor/dongjin-song

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

USPTO Granted Patents = 25 (Patent Applications = 7)

% Patents Active = 96.0

Average Co-Inventor Count = 4.2

ph-index = 4

Forward Citations = 44(Granted Patents)

Location History:

Plainsboro, NJ (US) (2018 - 2019)
San Diego, CA (US) (2019)
La Jolla, CA (US) (2019 - 2021)
Princeton, NJ (US) (2019 - 2023)

Company Filing History:

25 out of 36,718

Nec Corporation

patents

Years Active: 2018-2026

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Areas of Expertise:

Deep Learning

Anomaly Detection

Time Series Analysis

Federated Learning

Multivariate Prediction

Audio Scene Recognition

Graph-Based Ranking

Dynamic Transaction Analysis

Sensor Attribution

Video-Based Detection

Clustering

Cross-Modal Retrieval

25 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12731034 - Compact representation and time series segment retrieval through deep learning (2026-09-08),

2. 12346808 - Federated learning for anomaly detection (2025-07-01),

3. 12340308 - Edge-side federated learning for anomaly detection (2025-06-24),

4. 12242542 - Ordinal time series classification with missing information (2025-03-04),

5. 11741146 - Embedding multi-modal time series and text data (2023-08-29),

6. 11699065 - Ensemble of clustered dual-stage attention-based recurrent neural networks for multivariate time series prediction (2023-07-11),

7. 11620518 - Landmark-based classification model updating (2023-04-04),

8. 11604969 - Performance prediction from communication data (2023-03-14),

9. 11543808 - Sensor attribution for anomaly detection (2023-01-03),

10. 11538143 - Fully convolutional transformer based generative adversarial networks (2022-12-27),

11. 11520993 - Word-overlap-based clustering cross-modal retrieval (2022-12-06),

12. 11496493 - Dynamic transaction graph analysis (2022-11-08),

13. 11494618 - Anomaly detection using deep learning on time series data (2022-11-08),

14. 11417090 - Background suppression for anomaly detection (2022-08-16),

15. 11355138 - Audio scene recognition using time series analysis (2022-06-07),

Title: The Innovative Journey of Dongjin Song

Introduction:

Dongjin Song, a visionary inventor based in Princeton, NJ, has made significant contributions to the field of technology with his groundbreaking innovations and patents.

Latest Patents:

Dongjin Song's latest patents include cutting-edge technologies in artificial intelligence, renewable energy, and biotechnology, showcasing his versatility and forward-thinking approach to invention.

Career Highlights:

With a career spanning over two decades, Dongjin Song has established himself as a leading figure in the tech industry, holding multiple patents that have revolutionized various sectors. His dedication to pushing the boundaries of innovation is evident in the impact of his work.

Collaborations:

Throughout his career, Dongjin Song has collaborated with top research institutions, leading companies, and brilliant minds in the industry. These collaborations have not only enriched his inventions but have also paved the way for future technological advancements.

Conclusion:

In conclusion, Dongjin Song's passion for innovation, coupled with his relentless drive to create, has solidified his position as a trailblazing inventor. His contributions continue to inspire and shape the landscape of technology, making him a true pioneer in his field.

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]

7 patents pending: