Patents by Inventor Sittal George

Sittal George 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).

  • Publication number: 20250068794
    Abstract: A method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting a process model based on the category; accessing historic data related to past process runs for manufacturing the sample; accessing current data obtained from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data.
    Type: Application
    Filed: November 14, 2024
    Publication date: February 27, 2025
    Inventors: Krishna Kumar Swaminathan, Sridhar Dasaratha, Sittal George, Vinay Bhaskar Jammu, Alok Singh Chauhan, Nagaraju Konduru, Neelima Boddapati, Ankita Bhatia, Mithilesh Mohanty, Harsha Aeron, Andreas Castan
  • Patent number: 12182482
    Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.
    Type: Grant
    Filed: June 18, 2018
    Date of Patent: December 31, 2024
    Assignee: Cytiva Sweden AB
    Inventors: Krishna Kumar Swaminathan, Sridhar Dasaratha, Sittal George, Vinay Bhaskar Jammu, Alok Singh Chauhan, Nagaraju Konduru, Neelima Boddapati, Ankita Bhatia, Mithilesh Mohanty, Harsha Aeron, Andreas Castan
  • Publication number: 20200202051
    Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.
    Type: Application
    Filed: June 18, 2018
    Publication date: June 25, 2020
    Inventors: Krishna Kumar Swaminathan, Sridhar Dasaratha, Sittal George, Vinay Bhaskar Jammu, Alok Singh Chauhan, Nagaraju Konduru, Neelima Boddapati, Ankita Bhatia, Mithilesh Mohanty, Harsha Aeron, Andreas Castan