Patents by Inventor Kumar Jagdish

Kumar Jagdish 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).

  • Utilizing machine learning models with a centralized repository of log data to predict events and generate alerts and recommendations
    Patent number: 11966820
    Abstract: A device may receive log data from application logs associated with applications, service logs associated with services, and server logs associated with server devices. The device may store the log data. The device may perform natural language processing on the log data to convert the log data into event data identifying events associated with categories. The device may process the event data, with a first machine learning model, to identify patterns in the event data and to generate an alert based on the patterns. The device may process the event data, with a second machine learning model, to generate a correlation matrix for the event data and to predict an event based on the correlation matrix. The device may process the event data, with a third machine learning model, to classify the event data based on the categories and to generate a recommendation based on classifying the event data.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: April 23, 2024
    Assignee: Accenture Global Solutions Limited
    Inventors: Prakash Ghatage, Nirav Jagdish Sampat, Kumar Viswanathan, Naveen Kumar Thangaraj, Sattish Sundarakrishnan, Kaustubh Kurhekar, Richard Stephen Vincent Price
  • Process for production of benzene lean gasoline by recovery of high purity benzene from unprocessed cracked gasoline fraction containing organic peroxides
    Patent number: 8722952
    Abstract: Disclosed is a process for production of benzene lean gasoline by recovery of high purity benzene from a narrow boiling benzene concentrated unprocessed cracked gasoline fraction. The process involves subjecting the feed material to an extractive distillation (ED) operation using an aromatic selective solvent in combination with a co-solvent.
    Type: Grant
    Filed: August 9, 2013
    Date of Patent: May 13, 2014
    Assignees: Council of Scientific & Industrial Research, Reliance Industries Limited
    Inventors: Madhukar Onkarnath Garg, Shrikant Madhusudan Nanoti, Ram Bhagat Nautiyal, Kumar Sunil, Prasenjit Ghosh, Nisha, Pooja Yadav, Kumar Jagdish, Manish Tiwari, Meka Raja Rao, Nagarathinam Shengaga Murthy
  • Process for the preparation of Cu—Cr oxides for selective oxidation reactions
    Patent number: 8697916
    Abstract: The present invention provides a process for the preparation of Cu—Cr oxides by hydrothermal synthesis method using hydrazine as a reducing agent and cetyltrimethylammonium bromide as a surfactant and these oxides are very active for selective oxidation of benzene, toluene and ethylbenzene to produce phenol, benzaldehyde and acetophenone, respectively.
    Type: Grant
    Filed: September 20, 2012
    Date of Patent: April 15, 2014
    Assignee: Council of Scientific & Industrial Research
    Inventors: Rajaram Bal, Bipul Sarkar, Shubhra Acharyya Shankha, Shilpi Ghosh, Chandrashekar Pendem, Kumar Jagdish
  • PROCESS FOR PRODUCTION OF BENZENE LEAN GASOLINE BY RECOVERY OF HIGH PURITY BENZENE FROM UNPROCESSED CRACKED GASOLINE FRACTION CONTAINING ORGANIC PEROXIDES
    Publication number: 20140042059
    Abstract: Disclosed is a process for production of benzene lean gasoline by recovery of high purity benzene from a narrow boiling benzene concentrated unprocessed cracked gasoline fraction. The process involves subjecting the feed material to an extractive distillation (ED) operation using an aromatic selective solvent in combination with a co-solvent.
    Type: Application
    Filed: August 9, 2013
    Publication date: February 13, 2014
    Inventors: Madhukar Onkarnath Garg, Shrikant Madhusudan Nanoti, Ram Bhagat Nautiyal, Kumar Sunil, Prasenjit Ghosh, Nisha, Pooja Yadav, Kumar Jagdish, Manish Tiwari, Meka Raja Rao, Nagarathinam Shengaga Murthy