loadpatents
name:-0.02722692489624
name:-0.025521039962769
name:-0.023858070373535
Sohrabi Araghi; Shirin Patent Filings

Sohrabi Araghi; Shirin

Patent Applications and Registrations

Patent applications and USPTO patent grants for Sohrabi Araghi; Shirin.The latest application filed is for "method and system for automating scenario planning".

Company Profile
20.20.28
  • Sohrabi Araghi; Shirin - Briarcliff Manor NY
  • Sohrabi Araghi; Shirin - Port Chester NY
  • Sohrabi Araghi; Shirin - White Plains NY
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Method and System for Automating Scenario Planning
App 20220300852 - Udrea; Octavian ;   et al.
2022-09-22
Machine Learning Pipeline Generation
App 20220188691 - Katz; Michael ;   et al.
2022-06-16
Learning personalized actionable domain models
Grant 11,295,230 - Manikonda , et al. April 5, 2
2022-04-05
Multi-agent plan recognition
Grant 11,237,933 - Riabov , et al. February 1, 2
2022-02-01
Translation of artificial intelligence representations
Grant 11,107,182 - Riabov , et al. August 31, 2
2021-08-31
Scenario planning and management
Grant 11,030,561 - Chang , et al. June 8, 2
2021-06-08
Scenario planning and risk management
Grant 11,023,840 - Chang , et al. June 1, 2
2021-06-01
Methods And Systems For Diverse Instance Generation In Artificial Intelligence Planning
App 20210142197 - KATZ; Michael ;   et al.
2021-05-13
Providing Useful Sets Of Top-k Quality Plans
App 20210004741 - KATZ; Michael ;   et al.
2021-01-07
Plan recognition with unreliable observations
Grant 10,885,449 - Riabov , et al. January 5, 2
2021-01-05
Intelligent Causal Knowledge Extraction From Data Sources
App 20200401910 - HASSANZADEH; Oktie ;   et al.
2020-12-24
Multi-agent plan recognition
Grant 10,831,629 - Riabov , et al. November 10, 2
2020-11-10
Goal-driven composition with preferences method and system
Grant 10,783,441 - Riabov , et al. Sept
2020-09-22
Autonomous learning of actionable models from unstrutured data
Grant 10,699,199 - Manikonda , et al.
2020-06-30
Autonomous learning of actionable models from unstructured data
Grant 10,699,200 - Manikonda , et al.
2020-06-30
Guided Plan Recognition
App 20200175382 - Sohrabi Araghi; Shirin ;   et al.
2020-06-04
Translation Of Artificial Intelligence Representations
App 20200160483 - Riabov; Anton V. ;   et al.
2020-05-21
Generating Diverse Plans
App 20200074315 - Katz; Michael ;   et al.
2020-03-05
Plan Recognition With Unreliable Observations
App 20200065687 - RIABOV; Anton Viktorovich ;   et al.
2020-02-27
Translation of artificial intelligence representations
Grant 10,572,968 - Riabov , et al. Feb
2020-02-25
Translation of artificial intelligence representations
Grant 10,559,058 - Riabov , et al. Feb
2020-02-11
Plan recognition with unreliable observations
Grant 10,552,749 - Riabov , et al. Fe
2020-02-04
Translation Of Artificial Intelligence Representations
App 20200027191 - Riabov; Anton V. ;   et al.
2020-01-23
Iterative Generation Of Top Quality Plans In Automated Plan Generation For Artificial Intelligence Applications And The Like
App 20190340525 - KATZ; Michael ;   et al.
2019-11-07
Translation Of Artificial Intelligence Representations
App 20190206021 - Riabov; Anton V. ;   et al.
2019-07-04
Translation of artificial intelligence representations
Grant 10,242,425 - Riabov , et al.
2019-03-26
Translation of artificial intelligence representations
Grant 10,235,734 - Riabov , et al.
2019-03-19
Learning Personalized Actionable Domain Models
App 20180285770 - MANIKONDA; Lydia ;   et al.
2018-10-04
Scenario Planning And Risk Management
App 20180218299 - Chang; Yuan-Chi ;   et al.
2018-08-02
Translation Of Artificial Intelligence Representations
App 20180218472 - Riabov; Anton V. ;   et al.
2018-08-02
Autonomous Learning Of Actionable Models From Unstrutured Data
App 20180218272 - Manikonda; Lydia ;   et al.
2018-08-02
Multi-agent Plan Recognition
App 20180217909 - Riabov; Anton V. ;   et al.
2018-08-02
Translation Of Artificial Intelligence Representations
App 20180218475 - Riabov; Anton V. ;   et al.
2018-08-02
Multi-agent Plan Recognition
App 20180217908 - Riabov; Anton V. ;   et al.
2018-08-02
Autonomous Learning Of Actionable Models From Unstrutured Data
App 20180218270 - Manikonda; Lydia ;   et al.
2018-08-02
Scenario Planning And Risk Management
App 20180218300 - Chang; Yuan-Chi ;   et al.
2018-08-02
Predictive hypothesis exploration using planning
Grant 9,785,755 - Riabov , et al. October 10, 2
2017-10-10
Producing clustered top-k plans
Grant 9,747,550 - Hassanzadeh , et al. August 29, 2
2017-08-29
Producing clustered top-k plans
Grant 9,740,978 - Hassanzadeh , et al. August 22, 2
2017-08-22
Goal-Driven Composition with Preferences Method and System
App 20170220941 - Riabov; Anton V. ;   et al.
2017-08-03
Goal-driven composition with preferences method and system
Grant 9,697,467 - Riabov , et al. July 4, 2
2017-07-04
Plan Recognition With Unreliable Observations
App 20170147923 - RIABOV; Anton Viktorovich ;   et al.
2017-05-25
Producing Clustered Top-K Plans
App 20160321544 - Hassanzadeh; Oktie ;   et al.
2016-11-03
Producing Clustered Top-K Plans
App 20160117602 - Hassanzadeh; Oktie ;   et al.
2016-04-28
Automated software composition
Grant 9,286,032 - Feblowitz , et al. March 15, 2
2016-03-15
Goal-Driven Composition with Preferences Method and System
App 20150339582 - Riabov; Anton V. ;   et al.
2015-11-26
Predictive Hypothesis Exploration Using Planning
App 20150339580 - Riabov; Anton V. ;   et al.
2015-11-26
Automated Software Composition
App 20140282359 - Feblowitz; Mark D. ;   et al.
2014-09-18

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed