Patents by Inventor Jonathan Epperlein
Jonathan Epperlein 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).
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Patent number: 11293766Abstract: A system and method for cognitive journey monitoring are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.Type: GrantFiled: October 23, 2019Date of Patent: April 5, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan Epperlein, Claudio Gambella, Wynita M. Griggs, Yassine Lassoued, Jakub Marecek, Martin Mevissen, Julien Monteil, Rodrigo H. Ordonez-Hurtado, Giovanni Russo, Robert Shorten
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Patent number: 11276176Abstract: Embodiments for implementing intelligent boundary delineation of a region of interest of an organism in two spatial dimensions in a computing environment by a processor. Time series data of a contrast agent in one or more regions of interest captured from multispectral image streams may be collected. One or more regions of interest having one or more perfusion patterns may be identified from the time series data. Boundaries of the one or more regions of interest may be delineated into at least two spatial dimensions, wherein the boundaries of the one or more regions of interest include one or more selected labels.Type: GrantFiled: September 4, 2019Date of Patent: March 15, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Sergiy Zhuk, Jonathan Epperlein, Pol Mac Aonghusa, Rahul Nair
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Patent number: 11145052Abstract: Embodiments for implementing intelligent classification of region of interest in an organism in a computing environment by a processor. Time series data of a contrast agent in one or more regions of interest captured from multispectral image streams may be collected. The one or more regions of interest may be classified into one of a plurality of classes by applying one or more perfusion models, representing spatio-temporal behavior of the contrast agent reflected by the time series data, and by using a machine learning operation.Type: GrantFiled: April 25, 2019Date of Patent: October 12, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan Epperlein, Sergiy Zhuk, Rahul Nair, Pol MacAonghusa
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Publication number: 20210065372Abstract: Embodiments for implementing intelligent boundary delineation of a region of interest of an organism in two spatial dimensions in a computing environment by a processor. Time series data of a contrast agent in one or more regions of interest captured from multi spectral image streams may be collected. One or more regions of interest having one or more perfusion patterns may be identified from the time series data. Boundaries of the one or more regions of interest may be delineated into at least two spatial dimensions, wherein the boundaries of the one or more regions of interest include one or more selected labels.Type: ApplicationFiled: September 4, 2019Publication date: March 4, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Sergiy ZHUK, Jonathan EPPERLEIN, Pol MAC AONGHUSA, Rahul NAIR
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Publication number: 20200342587Abstract: Embodiments for implementing intelligent classification of region of interest in an organism in a computing environment by a processor. Time series data of a contrast agent in one or more regions of interest captured from multispectral image streams may be collected. The one or more regions of interest may be classified into one of a plurality of classes by applying one or more perfusion models, representing spatio-temporal behavior of the contrast agent reflected by the time series data, and by using a machine learning operation.Type: ApplicationFiled: April 25, 2019Publication date: October 29, 2020Applicants: INTERNATIONAL BUSINESS MACHINES CORPORATION, UNIVERSITY COLLEGE DUBLIN SCHOOL OF MEDICINE & MEDICAL SCIENCEInventors: Jonathan EPPERLEIN, Sergiy ZHUK, Rahul NAIR, Pol MAC AONGHUSA
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Patent number: 10768002Abstract: A system and method for learning and predicting personalized risk associated with a journey for a user are presented. Contextual data may be gathered and analyzed from a plurality of data sources relating to a journey of a user. A risk associated with the journey may be learned for the user according to the contextual data. One or more risk models may be generated according to the learned risks. One or more potential risks associated with a subsequent journey may be predicted using the one or more risk models.Type: GrantFiled: October 26, 2017Date of Patent: September 8, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan Epperlein, Yassine Lassoued, Martin Mevissen, Julien Monteil, Giovanni Russo, Robert Shorten
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Publication number: 20200056898Abstract: A system and method for cognitive journey monitoring are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.Type: ApplicationFiled: October 23, 2019Publication date: February 20, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan EPPERLEIN, Claudio GAMBELLA, Wynita M. GRIGGS, Yassine LASSOUED, Jakub MARECEK, Martin MEVISSEN, Julien MONTEIL, Rodrigo H. ORDONEZ-HURTADO, Giovanni RUSSO, Robert SHORTEN
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Patent number: 10527437Abstract: A system and method for cognitive risk mitigation are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.Type: GrantFiled: March 27, 2017Date of Patent: January 7, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan Epperlein, Claudio Gambella, Wynita M. Griggs, Yassine Lassoued, Jakub Marecek, Martin Mevissen, Julien Monteil, Rodrigo H. Ordonez-Hurtado, Giovanni Russo, Robert Shorten
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Publication number: 20190128686Abstract: A system and method for learning and predicting personalized risk associated with a journey for a user are presented. Contextual data may be gathered and analyzed from a plurality of data sources relating to a journey of a user. A risk associated with the journey may be learned for the user according to the contextual data. One or more risk models may be generated according to the learned risks. One or more potential risks associated with a subsequent journey may be predicted using the one or more risk models.Type: ApplicationFiled: October 26, 2017Publication date: May 2, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan EPPERLEIN, Yassine LASSOUED, Martin MEVISSEN, Julien MONTEIL, Giovanni RUSSO, Robert SHORTEN
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Publication number: 20180315307Abstract: Techniques for autonomously optimizing traffic flow amongst one or more traffic junctions are provided. In one example, a computer-implemented method can comprise generating, by a system operatively coupled to a processor, a piece-wise sinusoidal representation of traffic arrival at a first traffic junction.Type: ApplicationFiled: December 14, 2017Publication date: November 1, 2018Inventors: Jonathan Epperlein, Jakub Marecek, Rahul Nair
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Patent number: 10115304Abstract: Techniques for autonomously optimizing traffic flow amongst one or more traffic junctions are provided. In one example, a computer-implemented method can comprise generating, by a system operatively coupled to a processor, a piece-wise sinusoidal representation of traffic arrival at a first traffic junction. The computer-implemented method can also comprise determining, by the system, an offset a parameter of one or more traffic junctions based on the piece-wise sinusoidal representation and a polynomial objective.Type: GrantFiled: December 14, 2017Date of Patent: October 30, 2018Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan Epperlein, Jakub Marecek, Rahul Nair
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Publication number: 20180274927Abstract: A system and method for cognitive risk mitigation are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.Type: ApplicationFiled: March 27, 2017Publication date: September 27, 2018Applicants: INTERNATIONAL BUSINESS MACHINES CORPORATION, UNIVERSITY COLLEGE DUBLINInventors: Jonathan EPPERLEIN, Claudio GAMBELLA, Wynita M. GRIGGS, Yassine LASSOUED, Jakub MARECEK, Martin MEVISSEN, Julien MONTEIL, Rodrigo H. ORDONEZ-HURTADO, Giovanni RUSSO, Robert SHORTEN
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Patent number: 10078962Abstract: Techniques for autonomously optimizing traffic flow amongst one or more traffic junctions are provided. In one example, a computer-implemented method can comprise generating, by a system operatively coupled to a processor, a piece-wise sinusoidal representation of traffic arrival at a first traffic junction. The computer-implemented method can also comprise determining, by the system, an offset a parameter of one or more traffic junctions based on the piece-wise sinusoidal representation and a polynomial objective.Type: GrantFiled: April 28, 2017Date of Patent: September 18, 2018Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan Epperlein, Jakub Marecek, Rahul Nair