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For the Inventor, By the Inventor

Princeton Junction, NJ, United States of America

Zhengzhang Chen

This inventor holds 42 USPTO granted patents and 44 published patent applications, primarily in Anomaly Detection. Top assignee: Nec Corporation. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhengzhang Chen. Retrieved from https://idiyas.com/inventor/zhengzhang-chen

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

USPTO Granted Patents = 42 

% Patents Active = 95.2

Average Co-Inventor Count = 5.0

ph-index = 4

Forward Citations = 89(Granted Patents)


Company Filing History:

goldMedal42 out of 36,684 
 
Nec Corporation
 patents

Years Active: 2019-2026

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Areas of Expertise:
Anomaly Detection
Graph Learning
Cyber Physical Systems
Medical Decision Making
Dynamic Sensor Data
Root Cause Analysis
Data Fusion
Vehicle Sensors
Deep Learning
Threat Detection
Ransomware Prevention
Enterprise Security
42 patents (USPTO):Explore Patents
1. 12730702 - Early root cause localization (2026-09-08),
2. 12670059 - Temporal graph-based anomaly analysis and control in cyber physical systems (2026-06-30),
3. 12566655 - Anomaly detection using metric time series and event sequences for medical decision making (2026-03-03),
4. 12541418 - Temporal graph-based incident analysis and control in cyber physical systems (2026-02-03),
5. 12487879 - Anomaly detection on dynamic sensor data (2025-12-02),
6. 12479421 - Modular network based knowledge sharing for multiple entities (2025-11-25),
7. 12436835 - Trigger point detection for online root cause analysis and system fault diagnosis (2025-10-07),
8. 12407718 - Incremental causal graph learning for attack forensics in computer systems (2025-09-02),
9. 12332734 - Disentangled graph learning for incremental causal discovery and root cause analysis (2025-06-17),
10. 12263849 - Data fusion and analysis engine for vehicle sensors (2025-04-01),
11. 12205418 - Vehicle intelligence tool for early warning with fault signature (2025-01-21),
12. 12205028 - Co-disentagled series/text multi-modal representation learning for controllable generation (2025-01-21),
13. 12204398 - Incremental causal discovery and root cause localization for online system fault diagnosis (2025-01-21),
14. 12008471 - Robustness assessment for face recognition (2024-06-11),
15. 11782812 - Causal attention-based multi-stream RNN for computer system metric prediction and influential events identification based on metric and event logs (2023-10-10),

Title: The Innovative Journey of Zhengzhang Chen

Introduction: Zhengzhang Chen, a talented inventor based in Princeton Junction, NJ, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents: Zhengzhang Chen's latest patents include a cutting-edge artificial intelligence algorithm for predictive analytics and a revolutionary wearable device for monitoring vital signs in real-time.

Career Highlights: With a background in computer science and engineering, Zhengzhang Chen has worked for top tech companies, leading research institutions, and prestigious universities. His expertise in machine learning and data analysis has led to the development of several patented technologies that have transformed various industries.

Collaborations: Zhengzhang Chen has collaborated with renowned researchers, engineers, and scientists from around the world to push the boundaries of innovation. His partnerships with industry leaders have resulted in the successful commercialization of his inventions, making a lasting impact on society.

Conclusion: Zhengzhang Chen's passion for innovation and his relentless pursuit of excellence have established him as a trailblazer in the world of technology. His inventive spirit continues to inspire the next generation of inventors to push the limits 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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