Prathaban Mookiah

Title: Innovations of Prathaban Mookiah

Introduction

Prathaban Mookiah is a notable inventor based in San Diego, California. He has made significant contributions to the field of manufacturing processes through his innovative patents. With a total of 11 patents to his name, Mookiah has demonstrated a strong commitment to advancing technology.

Latest Patents

Mookiah's latest patents include groundbreaking work in automated control of manufacturing processes. One of his notable inventions involves a computing device that trains a machine state predictive model. This model utilizes a generative adversarial network with an autoencoder, which is trained using a first plurality of observation vectors. Each observation vector contains state variable values and an action variable value, defining the machine state and the next action taken in response to that state. The invention allows for the generation of a second plurality of observation vectors, which aids in predicting subsequent machine states for product manufacturing. Another significant patent focuses on tabular data generation for machine learning model training systems, involving a series of steps to generate and predict real or fake observation vectors.

Career Highlights

Throughout his career, Mookiah has worked with esteemed organizations such as Drexel University and SAS Institute Inc. His experience in these institutions has contributed to his expertise in machine learning and manufacturing processes.

Collaborations

Mookiah has collaborated with talented individuals in his field, including Kapil R. Dandekar and Hamoon Azizsoltani. These collaborations have likely enriched his work and led to further innovations.

Conclusion

Prathaban Mookiah is a distinguished inventor whose work in automated manufacturing processes and machine learning has made a significant impact. His innovative patents and collaborations reflect his dedication to advancing technology in his field.