Harish Panneer Selvam

Title: Harish Panneer Selvam: Machine Learning for Energy Prediction and Mobility

Introduction

Harish Panneer Selvam is an inventor based in Littleton, Colorado, whose work focuses on applying machine learning to energy prediction and the movement of people and machines. His patent portfolio includes 2 patents addressing energy-use prediction and synthetic drive-cycle generation.

Latest Patents

Selvam’s patent work includes techniques for predicting the energy use of mobile actors, such as people and machines, using machine learning. These methods can account for movement between locations, including routes and other variables that affect energy consumption. The applications may extend to mobile machines used in consumer or industrial settings, including vehicles, aircraft, watercraft, and robots.

His other patent concerns machine-learning methods for generating and using synthetic drive cycles for mobile actors, as well as synthetic duty cycles for mobile machines. These techniques can support analysis of movement and machine operation across different routes and operating conditions.

Career Highlights

Selvam’s inventions bring together machine learning, mobility, and energy analysis. His work addresses both the prediction of energy use and the creation of synthetic cycles that can help characterize how people and machines move or operate.

Collaborations

Selvam is associated with Exergi Predictive LLC. His listed coworkers include Andrew Kotz and William Northrop.

Conclusion

Harish Panneer Selvam’s patents focus on using machine learning to predict energy use and generate synthetic drive and duty cycles, connecting data-driven methods with the analysis of mobile people and machines.