Unmesh Kurup

Title: Unmesh Kurup: Innovator in Energy Optimization and Deep Learning

Introduction

Unmesh Kurup is a notable inventor based in Mountain View, CA, who has made significant contributions to the fields of energy optimization and deep learning. With a focus on innovative solutions, he has been awarded 2 patents that showcase his expertise and creativity in technology.

Latest Patents

One of his latest patents is titled "System and method for optimizing energy use of a structure using a clustering-based rule-mining approach." This invention involves a method for operating a heating, ventilation, and air conditioning (HVAC) system. It includes collecting sensor data, generating clustered data, and performing association rule mining to optimize the HVAC system's performance based on the collected data.

Another significant patent is "Effective building block design for deep convolutional neural networks using search." This patent describes a search framework for identifying effective architectural building blocks for deep convolutional neural networks. The framework utilizes branch and skip connections, allowing for the automatic selection and optimization of hyperparameters tailored to specific tasks.

Career Highlights

Unmesh Kurup is currently employed at Robert Bosch GmbH, where he applies his innovative ideas to real-world challenges. His work focuses on enhancing energy efficiency and advancing deep learning technologies, making a substantial impact in these areas.

Collaborations

Throughout his career, Unmesh has collaborated with talented individuals such as Mohak Shah and Jayanta Kumar Dutta. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Unmesh Kurup is a distinguished inventor whose work in energy optimization and deep learning continues to influence the technological landscape. His patents reflect a commitment to innovation and excellence in engineering.