Sheoran; Nikhil

Patent Applications and Registrations

Patent applications and USPTO patent grants for Sheoran; Nikhil.The latest application filed is for "query-oriented approximate query processing based on machine learning techniques".

Company Profile

9.4.10

Sheoran; Nikhil - Chandigarh IN

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Query-oriented Approximate Query Processing Based On Machine Learning Techniques App 20220164346 - Mitra; Subrata ; et al.	2022-05-26
Workload Equivalence Class Identification For Resource Usage Prediction App 20220129316 - Sheoran; Nikhil ; et al.	2022-04-28
Machine-learning Models Applied To Interaction Data For Determining Interaction Goals And Facilitating Experience-based Modifications To Interface Elements In Online Environments App 20210311751 - Sheoran; Nikhil ; et al.	2021-10-07
Machine-learning Models Applied To Interaction Data For Facilitating Experience-based Modifications To Interface Elements In Online Environments App 20210241158 - Sinha; Atanu R. ; et al.	2021-08-05
Machine-learning models applied to interaction data for determining interaction goals and facilitating experience-based modifications to interface elements in online environments Grant 11,068,285 - Sheoran , et al. July 20, 2	2021-07-20
Machine-learning models applied to interaction data for facilitating experience-based modifications to interface elements in online environments Grant 11,023,819 - Sinha , et al. June 1, 2	2021-06-01
Machine-learning Models Applied To Interaction Data For Determining Interaction Goals And Facilitating Experience-based Modifications To Interface Elements In Online Environments App 20210089331 - Sheoran; Nikhil ; et al.	2021-03-25
Predictive analysis of target behaviors utilizing RNN-based user embeddings Grant 10,783,361 - Kim , et al. Sept	2020-09-22
Self-learning Scheduler For Application Orchestration On Shared Compute Cluster App 20200257968 - A1	2020-08-13
Predictive Analysis Of Target Behaviors Utilizing Rnn-based User Embeddings App 20200134300 - KIM; SUNGCHUL ; et al.	2020-04-30
Characterizing and Modifying User Experience of Computing Environments Based on Behavior Logs App 20200118145 - Jain; Deepali ; et al.	2020-04-16
Predictive analysis of target behaviors utilizing RNN-based user embeddings Grant 10,558,852 - Kim , et al. Feb	2020-02-11
Machine-learning Models Applied To Interaction Data For Facilitating Experience-based Modifications To Interface Elements In Onl App 20190311279 - Sinha; Atanu R. ; et al.	2019-10-10
Predictive Analysis Of Target Behaviors Utilizing Rnn-based User Embeddings App 20190147231 - KIM; SUNGCHUL ; et al.	2019-05-16

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.