Company Filing History:
Years Active: 2021-2022
Title: Innovations by Inventor Chongya Song
Introduction
Chongya Song is a notable inventor based in Miami, FL (US). He has made significant contributions to the field of technology, particularly in optimization and intrusion detection systems. With a total of 2 patents, his work showcases innovative approaches to complex problems.
Latest Patents
Chongya Song's latest patents include "Systems and methods using angle-based stochastic gradient descent" and "Systems and methods for network-based intrusion detection." The first patent introduces angle-based stochastic gradient descent (AG-SGD), which addresses pattern deviations not resolved by existing systems. This method utilizes the angle between the current gradient and the previous gradient to determine a new gradient. The second patent focuses on network-based intrusion detection, employing an anti-adversarial Hidden Markov Model to effectively identify evasion patterns. This model incorporates dynamic window and threshold techniques, enhancing its adaptive and online learning capabilities.
Career Highlights
Chongya Song is affiliated with Florida International University, where he contributes to research and development in his areas of expertise. His work is characterized by a commitment to advancing technology and improving system efficiencies.
Collaborations
Chongya collaborates with talented individuals such as Alexander Pons and Alexander Perez-Pons, further enriching his research endeavors.
Conclusion
Chongya Song's innovative patents and contributions to technology reflect his dedication to solving complex challenges in optimization and security. His work continues to influence the field and inspire future advancements.