Patents by Inventor Mudita Singhal
Mudita Singhal 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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Publication number: 20240062277Abstract: In one embodiment, a computer-implemented method for generating personalized photobooks for multiple entities with varying degrees of personalization at different levels of granularity is disclosed. The method includes generating a base template based on a content corpus. The base template may be transformed into a first dynamic template. Using at least the first dynamic template, the first personalized photobook may be generated for a first entity at a first level of granularity. The first dynamic template may be transformed into a second dynamic template. Using at least the first personalized photobook generated for the first entity at the first level of granularity and the second dynamic template, a second personalized photobook may be generated for a second entity at a second level of granularity. The second personalized photobook at the second level may be relatively more personalized than the first personalized photobook at the first level.Type: ApplicationFiled: August 18, 2023Publication date: February 22, 2024Inventors: Mudita Singhal, Anuj Ramesh Shah
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Patent number: 11157860Abstract: A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: October 26, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Patent number: 11151494Abstract: A system and method for visualizing parking enforcement officer movement in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: October 19, 2021Assignee: Palo Alto Research Center IncorporatedInventors: Mudita Singhal, Mark J. Stefik, Sureyya Tarkan, Eric A. Bier, Robert T. Krivacic
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Patent number: 11144855Abstract: A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: October 12, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic
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Patent number: 11126942Abstract: A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: September 21, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Sureyya Tarkan
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Patent number: 11120375Abstract: A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: September 14, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Patent number: 11068813Abstract: A system and method for providing conditional autonomous messaging to parking enforcement officers with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: July 20, 2021Assignee: Palo Alto Research Center IncorporatedInventors: Mark J. Stefik, Mudita Singhal, Daniel G. Bobrow
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Patent number: 11062241Abstract: A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: July 13, 2021Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Patent number: 10817814Abstract: A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: GrantFiled: August 26, 2016Date of Patent: October 27, 2020Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Patent number: 10699069Abstract: A spreadsheet population method, system, and computer program product include associating text with a spreadsheet, the text including candidate data items for populating the spreadsheet, building a multi-dimensional analogy model where each dimension comprises a unique pair of data items where the data items co-occur within a same context window, accepting example data items in the spreadsheet where the data items form tuples in a same implicit relationship according to a spatial configuration, and performing an assistance operation on the spreadsheet using the data item tuples retrieved using the analogy model from the example data items.Type: GrantFiled: October 11, 2018Date of Patent: June 30, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Alfio Massimiliano Gliozzo, Aaron Chavez, Robert G. Farrell, Gaetano Rossiello, Nicolas Rodolfo Fauceglia, Mudita Singhal
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Publication number: 20200117708Abstract: A spreadsheet population method, system, and computer program product include associating text with a spreadsheet, the text including candidate data items for populating the spreadsheet, building a multi-dimensional analogy model where each dimension comprises a unique pair of data items where the data items co-occur within a same context window, accepting example data items in the spreadsheet where the data items form tuples in a same implicit relationship according to a spatial configuration, and performing an assistance operation on the spreadsheet using the data item tuples retrieved using the analogy model from the example data items.Type: ApplicationFiled: October 11, 2018Publication date: April 16, 2020Inventors: Alfio Massimiliano Gliozzo, Aaron Chavez, Robert G. Farrell, Gaetano Rossiello, Nicolas Rodolfo Fauceglia, Mudita Singhal
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Publication number: 20180060789Abstract: A system and method for providing conditional autonomous messaging to parking enforcement officers with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Daniel G. Bobrow
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Publication number: 20180060795Abstract: A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Sureyya Tarkan
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Publication number: 20180060797Abstract: A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic
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Publication number: 20180060783Abstract: A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Publication number: 20180060790Abstract: A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
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Publication number: 20180060775Abstract: A system and method for visualizing parking enforcement officer movement in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mudita Singhal, Mark J. Stefik, Sureyya Tarkan, Eric A. Bier, Robert T. Krivacic
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Publication number: 20180060796Abstract: A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Publication number: 20180060798Abstract: A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.Type: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
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Patent number: 9690831Abstract: A computer-implemented system and method for visual search construction, document triage, and coverage tracking is provided. One or more search topics are received from a user. The search topics are positioned along a graph to generate a query. A search for resulting topics that are related to one or more of the search topics is conducted using the query. The topic results are displayed in the graph in relation to the placed search topics of the query.Type: GrantFiled: April 19, 2013Date of Patent: June 27, 2017Assignee: Palo Alto Research Center IncorporatedInventors: Ellen Isaacs, Mudita Singhal, Ignacio Solis