This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Korea University Research and Business Foundation. Active years: 2020-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Seoul, KR (2020)
- Suwon-si, KR (2024)
Company Filing History:
Years Active: 2020-2024
Title: Sooyoung Cha: Innovator in Symbolic Execution and Machine Learning
Introduction
Sooyoung Cha is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of symbolic execution and machine learning, holding a total of 3 patents. His work focuses on enhancing the efficiency and effectiveness of software testing methodologies.
Latest Patents
Sooyoung Cha's latest patents include innovative methods that advance the capabilities of symbolic execution. One of his notable patents is a "Method for automatically pruning search space of symbolic execution via machine learning." This invention provides a symbolic execution device that includes a storage unit for managing probability distributions and a processor that optimizes the selection of candidate states based on calculated scores. Another significant patent is the "Method for automatically generating search heuristics and performing method of concolic testing using automatically generated search heuristics." This method aims to create optimal search heuristics for test subject programs, ensuring consistent test performance across various applications.
Career Highlights
Sooyoung Cha is affiliated with the Korea University Research and Business Foundation, where he applies his expertise in machine learning and symbolic execution. His work has been instrumental in developing advanced testing methodologies that leverage machine learning techniques to improve software reliability.
Collaborations
Throughout his career, Sooyoung has collaborated with notable colleagues, including Hakjoo Oh and Junhee Lee. These collaborations have contributed to the advancement of research in symbolic execution and machine learning.
Conclusion
Sooyoung Cha is a distinguished inventor whose work in symbolic execution and machine learning has led to significant advancements in software testing. His innovative patents reflect his commitment to improving the efficiency of testing methodologies, making a lasting impact in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile