Shrihari Vasudevan

Title: Shrihari Vasudevan: Innovator in Data Analysis and Modeling

Introduction

Shrihari Vasudevan is a notable inventor based in Chippendale, Australia. He has made significant contributions to the field of data analysis and modeling, holding 2 patents that showcase his innovative approaches.

Latest Patents

His latest patents include a "Method and system for multiple dataset Gaussian process modeling." This patent describes a method of computerized data analysis and synthesis, where first and second datasets of a quantity of interest are stored. A Gaussian process model is generated using these datasets to compute optimized kernel and noise hyperparameters. The model is then applied to perform Gaussian process regression, resulting in estimates of unknown values derived from a non-parametric Gaussian process fusion of the datasets. The datasets may originate from different measurement sensors, which can have varying noise and characteristics.

Another significant patent is the "Method and system of data modeling." This method involves a training phase where the dataset is applied to a non-stationary Gaussian process kernel to optimize hyperparameter values. The evaluation phase utilizes the optimized kernel to generate model data, including a nearest neighbor selection step. This method allows for the generation of models at selected resolutions.

Career Highlights

Shrihari Vasudevan is associated with the University of Sydney Commercial Development & Industry Partnerships. His work focuses on advancing methodologies in data analysis and modeling, contributing to the academic and practical applications of these technologies.

Collaborations

Some of his notable coworkers include Fabio Tozeto Ramos and Eric William Nettleton, who collaborate with him on various projects related to data analysis and modeling.

Conclusion

Shrihari Vasudevan's innovative work in data analysis and modeling has led to significant advancements in the field. His patents reflect a deep understanding of Gaussian processes and their applications, making him a valuable contributor to the scientific community.