Patents by Inventor Padmashri Suresh

Padmashri Suresh 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: 11574272
    Abstract: Systems and methods of utilizing employee recognition programs to maximize employee return on investment. To maximize the employee return on investment effect of the available recognition products at a desired cost to the employer, systems and methods rank recognition categories and/or products, prescribing the top category and/or product or the top categories and/or products that will be beneficial in optimizing employee return on investment of an organization. The systems and methods for prescribing the category and/or product or categories and/or products can provide an estimate of how employee return on investment will be impacted by the prescribed recognition.
    Type: Grant
    Filed: April 11, 2019
    Date of Patent: February 7, 2023
    Inventor: Padmashri Suresh
  • Publication number: 20200327475
    Abstract: Systems and methods of utilizing employee recognition programs to maximize employee return on investment. To maximize the employee return on investment effect of the available recognition products at a desired cost to the employer, systems and methods rank recognition categories and/or products, prescribing the top category and/or product or the top categories and/or products that will be beneficial in optimizing employee return on investment of an organization. The systems and methods for prescribing the category and/or product or categories and/or products can provide an estimate of how employee return on investment will be impacted by the prescribed recognition.
    Type: Application
    Filed: April 11, 2019
    Publication date: October 15, 2020
    Inventor: Padmashri Suresh
  • Publication number: 20100030609
    Abstract: A method, service, and product for changing project length based on fuzzy logic techniques where a subject matter expert assigns a pre-determined risk rating to each of a set of tasks. A fuzzy engine assigns a human grammar to each of the pre-determined risk ratings for each of the set of tasks, the human grammar being defined by a numeric range and assigned to the risk rating for each value falling within the numeric range. The fuzzy engine determines which rules from a set of rules apply to the task with the assigned human grammar, the set of rules being preprogrammed into the fuzzy engine, which then evaluates the tasks with the assigned human grammar using the determined rules. The fuzzy engine thereafter creates an adjusted-time allocation for each task and creates an adjusted-task-length for the set of tasks based from all of the created adjusted time allocations.
    Type: Application
    Filed: July 31, 2008
    Publication date: February 4, 2010
    Applicant: International Business Machines Corporation
    Inventors: Sri Ramanathan, Padmashri Suresh, Matthew B. Trevathan, Balaji Venkatraman