Neha Bajaj

Title: Neha Bajaj: Inventor in Machine-Learning-Based Power Prediction.

Introduction

Neha Bajaj is an inventor based in San Diego, California. Her patent work includes a machine-learning approach to predicting power measurements for electronic devices.

Latest Patents

Bajaj is associated with one patent: “Power Prediction Using a Machine Learning Model.” The invention describes methods, systems, and apparatus for predicting a device’s power measurements using predictive models. A power sensor continually measures power consumption at multiple time points, and a power prediction module uses the previous N measurements and a trained model to predict power consumption at a future time point.

Career Highlights

Bajaj’s patent reflects work at the intersection of power management and machine learning. The approach uses historical power measurements to generate predictions that may support device power-management functions. She is associated with Google Inc.

Collaborations

Bajaj’s listed coworkers include Vinu Vijay Kumar and Seyed Hamed Fatemi. Their names appear alongside her in connection with the patent information provided.

Conclusion

Neha Bajaj’s patent contribution applies a trained predictive model to device power measurements, highlighting a practical use of machine learning in power management.