Patents by Inventor John Colonna-Romano

John Colonna-Romano 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: 20210232729
    Abstract: Systems and methods to define a scenario of conditions comprising the steps of defining at least one condition for at least one educational objective, the at least one condition being represented by a constraint and scheduling the conditions into a scenario of conditions. In some embodiments, the scheduling is performed by analyzing the constraints using constraint programming. In some embodiments, the constraints comprise mathematical or computational constraints representing a range of variables. Also disclosed are systems and methods to monitor a scenario of conditions.
    Type: Application
    Filed: December 23, 2020
    Publication date: July 29, 2021
    Applicant: Aptima, Inc.
    Inventors: E. Webb Stacy, John Colonna-Romano
  • Patent number: 10891408
    Abstract: Systems and methods to define a scenario of conditions comprising the steps of defining at least one condition for at least one educational objective, the at least one condition being represented by a constraint and scheduling the conditions into a scenario of conditions. In some embodiments, the scheduling is performed by analyzing the constraints using constraint programming. In some embodiments, the constraints comprise mathematical or computational constraints representing a range of variables. Also disclosed are systems and methods to monitor a scenario of conditions.
    Type: Grant
    Filed: November 4, 2010
    Date of Patent: January 12, 2021
    Assignee: Aptima, Inc.
    Inventors: E. Webb Stacy, John Colonna-Romano
  • Patent number: 9165254
    Abstract: The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.
    Type: Grant
    Filed: January 13, 2009
    Date of Patent: October 20, 2015
    Assignee: Aptima, Inc.
    Inventors: Andrew P. Duchon, Robert McCormack, William J. Salter, Paul David Allopenna, Shawn Weil, John Colonna-Romano, David Kramer
  • Publication number: 20120208152
    Abstract: Systems and methods to define a scenario of conditions comprising the steps of defining at least one condition for at least one educational objective, the at least one condition being represented by a constraint and scheduling the conditions into a scenario of conditions. In some embodiments, the scheduling is performed by analyzing the constraints using constraint programming. In some embodiments, the constraints comprise mathematical or computational constraints representing a range of variables. Also disclosed are systems and methods to monitor a scenario of conditions.
    Type: Application
    Filed: November 4, 2010
    Publication date: August 16, 2012
    Applicant: APTIMA, INC.
    Inventors: E. Webb Stacy, John Colonna-Romano
  • Publication number: 20100280985
    Abstract: The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.
    Type: Application
    Filed: January 13, 2009
    Publication date: November 4, 2010
    Applicant: Aptima, Inc.
    Inventors: Andrew E. Duchon, Robert McCormack, William J. Salter, Paul David Allopenna, Shawn Weil, John Colonna-Romano, David Kramer