Priya L Donti

Title: Priya L Donti: Innovator in Neural Network Applications

Introduction

Priya L Donti is a prominent inventor based in Pittsburgh, PA (US). She has made significant contributions to the field of neural networks and control systems. With a total of 2 patents, her work focuses on enhancing the stability and efficiency of computer-controlled machines.

Latest Patents

Priya's latest patents include a "Controller with neural network and improved stability." This invention involves a controller designed to generate a control signal for a computer-controlled machine. A neural network is applied to a current sensor signal, which is configured to map the sensor signal to a raw control signal. A projection function is then applied to this raw control signal to obtain a stable control signal for the machine. Another notable patent is the "Neural network with a layer solving a semidefinite program." This system applies a neural network to an input instance, featuring an optimization layer that determines output neuron values from input neuron values through joint optimization.

Career Highlights

Throughout her career, Priya has worked with esteemed organizations such as Robert Bosch GmbH and Carnegie Mellon University. Her experience in these institutions has allowed her to develop innovative solutions in her field.

Collaborations

Priya has collaborated with notable individuals, including Jeremy Zieg Kolter and Melrose Roderick. These partnerships have contributed to her success and the advancement of her research.

Conclusion

Priya L Donti is a trailblazer in the realm of neural networks and control systems. Her innovative patents and collaborations highlight her commitment to advancing technology in meaningful ways.