Company Filing History:
Years Active: 2019
Title: Sudershan Boovaraghavan: Innovator in Virtual Sensor Systems
Introduction
Sudershan Boovaraghavan is an accomplished inventor based in Pittsburgh, PA. He has made significant contributions to the field of sensing technology, particularly through his innovative work on virtual sensor systems. His expertise and creativity have led to the development of a unique patent that enhances the capabilities of traditional sensor assemblies.
Latest Patents
Sudershan holds a patent for a "Virtual Sensor System." This sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly features a plurality of sensors that can sense a variety of different physical phenomena. The raw sensor data is featurized and transmitted to the computer system. Through machine learning, the computer system trains a classifier to serve as a virtual sensor for events correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can subscribe to relevant sensor feeds and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located. Sudershan has 1 patent to his name.
Career Highlights
Sudershan is affiliated with Carnegie Mellon University, where he continues to push the boundaries of innovation in sensor technology. His work is characterized by a strong emphasis on integrating machine learning with physical sensing systems, which has the potential to revolutionize various applications in different industries.
Collaborations
Sudershan collaborates with notable colleagues such as Yuvraj Agarwal and Christopher Harrison. Their combined expertise fosters a dynamic research environment that encourages innovative solutions to complex problems.
Conclusion
Sudershan Boovaraghavan is a pioneering inventor whose work in virtual sensor systems exemplifies the intersection of technology and innovation. His contributions are shaping the future of sensing technology and machine learning applications.