Sriram Vasudevan is an accomplished inventor based in College Park, MD, with a focus on advancements in machine learning and network performance. He holds two patents that showcase his expertise in traffic flow classification and video streaming quality metrics.

Latest Patents

One of his latest patents is titled "Traffic flow classification using machine learning." This invention includes methods, systems, and apparatus for classifying traffic flow through machine learning techniques. The communication device described in this patent features an anomaly detector that utilizes a machine learning model to predict deviations in data traffic patterns. Additionally, it includes a traffic classifier that predicts the quality of service (QoS) class for network connections or data flows. This device is designed to evaluate network connections using the anomaly detector and store data traffic that differs from observed patterns.

Another significant patent is for a "Method for estimation of quality of experience (QoE) metrics for video streaming using passive measurements." This invention provides computer-implemented systems and methods for diagnosing and correcting connectivity issues in a network. It involves obtaining measurements of network traffic attributes exchanged between a content server and a client device. The method analyzes these attributes to estimate QoE performance metrics related to streaming video content and adjusts network operating parameters accordingly.

Career Highlights

Sriram Vasudevan is currently employed at Hughes Network Systems, LLC, where he applies his innovative ideas to enhance network performance and user experience. His work has contributed significantly to the field of telecommunications and machine learning.

Collaborations

He has collaborated with notable colleagues, including Kaustubh Jain and Chi-Jiun Su, to further advance the research and development of network technologies.

Conclusion

Sriram Vasudevan's contributions to the fields of machine learning and network performance are noteworthy. His patents reflect a commitment to improving technology that enhances user experience in data communication.