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For the Inventor, By the Inventor

Princeton, NJ, United States of America

Kangkook Jee

USPTO Granted Patents = 16 

Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:

goldMedal15 out of 35,658 
 
Nec Corporation
 patents
silverMedal1 out of 196 
 
Nec C Orporation
 patents

Years Active: 2019-2022

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16 patents (USPTO):
1. 11423142 - Confidential machine learning with program compartmentalization (2022-08-23),
2. 11295008 - Graphics processing unit accelerated trusted execution environment (2022-04-05),
3. 11275832 - Real-time threat alert forensic analysis (2022-03-15),
4. 11223649 - User-added-value-based ransomware detection and prevention (2022-01-11),
5. 11194906 - Automated threat alert triage via data provenance (2021-12-07),
6. 11030308 - Inter-application dependency analysis for improving computer system threat detection (2021-06-08),
7. 11030157 - Template based data reduction for commercial data mining (2021-06-08),
8. 10931635 - Host behavior and network analytics based automotive secure gateway (2021-02-23),
9. 10929539 - Automated software safeness categorization with installation lineage and hybrid information sources (2021-02-23),
10. 10853487 - Path-based program lineage inference analysis (2020-12-01),
11. 10733149 - Template based data reduction for security related information flow data (2020-08-04),
12. 10574674 - Host level detect mechanism for malicious DNS activities (2020-02-25),
13. 10572661 - Automated blackbox inference of external origin user behavior (2020-02-25),
14. 10505962 - Blackbox program privilege flow analysis with inferred program behavior context (2019-12-10),
15. 10402564 - Fine-grained analysis and prevention of invalid privilege transitions (2019-09-03),

Title: Kangkook Jee: Innovator in Machine Learning and Trusted Execution Environments

Introduction

Kangkook Jee is a prominent inventor based in Princeton, NJ, known for his significant contributions to the fields of machine learning and trusted execution environments. With a total of 16 patents to his name, Jee has developed innovative solutions that enhance the security and efficiency of computational processes.

Latest Patents

One of his latest patents is titled "Confidential Machine Learning with Program Compartmentalization." This invention outlines a method for implementing confidential machine learning by designing an ML program that includes annotating source code, performing program analysis, and generating an ML model to protect its confidentiality from potential attacks. Another notable patent is the "Graphics Processing Unit Accelerated Trusted Execution Environment." This patent describes a system architecture that supports a trusted execution environment with computational acceleration, establishing trusted channels between user applications and GPU drivers to ensure secure execution.

Career Highlights

Throughout his career, Kangkook Jee has worked with notable companies such as NEC Corporation and NEC Corporation. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking technologies in the field of computing.

Collaborations

Kangkook Jee has collaborated with esteemed colleagues, including Zhichun Li and Zhenyu Wu, to further advance research and development in his areas of expertise.

Conclusion

Kangkook Jee's innovative work in machine learning and trusted execution environments has made a significant impact on the technology landscape. His patents reflect a commitment to enhancing security and efficiency in computational processes, showcasing his role as a leading inventor in the field.

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