Hamed Soroush

Title: Hamed Soroush: Innovator in Machine Learning and Security Systems

Introduction

Hamed Soroush is a prominent inventor based in San Jose, California. He has made significant contributions to the fields of machine learning and security systems, holding a total of seven patents. His innovative work focuses on enhancing the robustness and security of various technological systems.

Latest Patents

One of Hamed Soroush's latest patents is titled "System and method for reasoning about the diversity and robustness of an ensemble of classifiers." This invention provides a system that facilitates reasoning about classifiers by determining a plurality of neural networks. The system derives a linear model from each neural network, which is constructed based on the output of a penultimate layer. It trains the linear model using activations from this layer and maps the parameters into a version space.

Another notable patent is "System and method for constructing a graph-based model for optimizing the security posture of a composed internet of things system." This invention constructs a multi-layer graph for a system with multiple components. The graph includes a configuration subgraph, a vulnerability subgraph, and a dependency subgraph. The system generates nodes in the configuration subgraph that encode information about configuration parameters, as well as nodes in the vulnerability subgraph based on known vulnerabilities and best security practices.

Career Highlights

Hamed Soroush has worked with esteemed organizations such as Palo Alto Research Center Inc. and Xerox Corporation. His experience in these companies has allowed him to develop and refine his innovative ideas in machine learning and security.

Collaborations

Throughout his career, Hamed has collaborated with notable professionals, including Shantanu Rane and Marc E Mosko. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Hamed Soroush is a distinguished inventor whose work in machine learning and security systems has led to several impactful patents. His innovative contributions continue to shape the future of technology and security.