Patents by Inventor Nitish Pant

Nitish Pant has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11620202
    Abstract: Some embodiments are associated with a system and method for deep learning unsupervised anomaly prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use an unsupervised predictive GAN model with multi-layer perceptrons (MLP) as generator and discriminator.
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: April 4, 2023
    Assignee: EUGENIE TECHNOLOGIES PRIVATE LIMITED
    Inventors: Shivam Bharadwaj, Nitish Pant, Abhishek Raj, Soudip Roy Chowdhury
  • Publication number: 20220391299
    Abstract: Some embodiments are associated with a system and method for deep learning unsupervised anomaly prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use an unsupervised predictive GAN model with multi-layer perceptrons (MLP) as generator and discriminator.
    Type: Application
    Filed: January 28, 2022
    Publication date: December 8, 2022
    Applicant: Eugenie Technologies Private Limited
    Inventors: Shivam Bharadwaj, Nitish Pant, Abhishek Raj, Soudip Roy Chowdhury
  • Patent number: 11269752
    Abstract: Some embodiments are associated with a system and method for deep learning unsupervised anomaly prediction in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use an unsupervised predictive GAN model with multi-layer perceptrons (MLP) as generator and discriminator.
    Type: Grant
    Filed: July 7, 2021
    Date of Patent: March 8, 2022
    Assignee: Eugenie Technologies Private Limited
    Inventors: Shivam Bharadwaj, Nitish Pant, Abhishek Raj, Soudip Roy Chowdhury
  • Patent number: 10956808
    Abstract: Some embodiments are associated with a system and method for deep learning unsupervised anomaly detection in Internet of Things (IoT) sensor networks or manufacturing execution systems. The system and method use an ensemble of a plurality of generative adversarial networks for anomaly detection.
    Type: Grant
    Filed: March 12, 2020
    Date of Patent: March 23, 2021
    Assignee: Fractal Analytics Private Limited
    Inventors: Shivam Bhardwaj, Nitish Pant, Nikhil Fernandes, Soudip Roy Chowdhury