USPTO Examiner DORAISWAMY RANJIT P - Art Unit 2166

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
17100338METHODS OF PROVIDING NETWORK GRAPHICAL REPRESENTATION OF DATABASE RECORDSNovember 2020May 2025Abandon5380NoNo
17093885Diversity and Explainability Parameters for Recommendation Accuracy in Machine Learning Recommendation SystemsNovember 2020January 2025Allow5050YesYes
17084840DATABASE QUERY OPTIMIZATION METHODS, APPARATUSES, AND COMPUTER DEVICESOctober 2020November 2021Allow1220YesNo
17079149Building of Tries Over Sorted KeysOctober 2020March 2023Allow2820YesNo
17076735CONDITIONAL FILTERS WITH APPLICATIONS TO JOIN PROCESSINGOctober 2020May 2023Allow3130YesNo
17073358Computerized Methods and Systems for Selecting a View of Query ResultsOctober 2020February 2023Abandon2810NoNo
17072935PRIMITIVE-BASED QUERY GENERATION FROM NATURAL LANGUAGE QUERIESOctober 2020June 2023Allow3230YesNo
17066439PRE-CONSTRUCTED QUERY RECOMMENDATIONS FOR DATA ANALYTICSOctober 2020September 2022Allow2320YesNo
17037637DATA RETRIEVAL SYSTEMS AND METHODSSeptember 2020January 2022Allow1510YesNo
17034190ENTITY SEARCH SYSTEMSeptember 2020June 2023Allow3330NoNo
16987755Automated Persona Feature SelectionAugust 2020August 2022Allow2420YesNo
16913936Systems, Methods, and Apparatus for Natural Language Queries and Data VisualizationsJune 2020April 2023Allow3420YesNo
16856700Object ScriptabilityApril 2020August 2022Allow2810NoNo
16820055SYSTEM AND METHOD FOR AUTOMATED SOURCE CODE GENERATION FOR DATABASE CONVERSIONMarch 2020April 2022Abandon2510NoNo
16815895DATA PROCESSING METHOD, APPARATUS, AND DEVICEMarch 2020December 2021Allow2230YesYes
16812735TECHNIQUES FOR SELECTIVE COPYING OF FILE DATA OF A DATA SOURCEMarch 2020May 2023Allow3830YesNo
16727327APPEARANCE SEARCH FOR INCIDENT RESPONSEDecember 2019October 2023Abandon4520YesYes
16724949INDUCTIVE MATRIX COMPLETION AND GRAPH PROXIMITY FOR CONTENT ITEM RECOMMENDATIONDecember 2019October 2021Allow2230YesNo
16706080SYSTEM AND METHOD FOR FILTERING AND CREATING POINTS-OF-INTERESTDecember 2019October 2024Allow5960YesNo
16671857TECHNIQUES FOR MANAGING FUNCTIONALITY CHANGES OF AN ON-DEMAND DATABASE SYSTEMNovember 2019November 2022Allow3740YesNo
16549052DOMAIN-SPECIFIC LABELED QUESTION GENERATION FOR TRAINING SYNTACTIC PARSERSAugust 2019January 2023Allow4120YesNo
16505591SYSTEMS AND METHODS FOR COPYING AND PASTING SUGGESTION METADATAJuly 2019September 2021Allow2720YesNo
16505521Predicting Labels Using a Deep-Learning ModelJuly 2019October 2022Allow4010YesNo
16459851SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR QUERY CLARIFICATIONJuly 2019February 2024Abandon5540NoNo
16457973SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIA FOR GENERATING SYNONYMS OF A SEARCH QUERYJune 2019July 2023Allow4840YesNo
16421329DATA ISOLATION IN A BLOCKCHAIN NETWORKMay 2019January 2021Allow2030YesNo
16378578INFORMATION PROCESSING APPARATUS, AND NON-TRANSITORY COMPUTER READABLE MEDIUMApril 2019June 2023Abandon5030NoNo
16357131Managing Consistency Models in a Distributed DatabaseMarch 2019October 2021Allow3110YesNo
16146685A/B TESTING OF SERVICE-LEVEL METRICSSeptember 2018August 2022Allow4630YesNo
16146698Framework for Analyzing Table Data by Question Answering SystemsSeptember 2018February 2023Allow5240YesNo
16006775MULTI-VENDOR SYNCHRONIZATION PLATFORM SUPPORTING MULTIPLE FORMATSJune 2018March 2023Abandon5740YesNo
16006546OPTIMIZED DATA STRUCTUREJune 2018December 2021Allow4220YesNo
16006796SYSTEMS AND METHODS FOR FAST AND EFFECTIVE GROUPING OF STREAM OF INFORMATION INTO CLOUD STORAGE FILESJune 2018October 2021Allow4050YesNo
16006562SYSTEM AND METHOD FOR PERSISTENCE AND REPLICATION OF CHANGES TO A DATA STOREJune 2018October 2022Allow5240YesNo
15997436REMOTE DATA OBJECT PUBLISHING/SUBSCRIBING SYSTEM HAVING A MULTICAST KEY-VALUE PROTOCOLJune 2018July 2022Allow4940YesNo
15936694STORAGE SYSTEM WITH FAST RECOVERY AND RESUMPTION OF PREVIOUSLY-TERMINATED SYNCHRONOUS REPLICATIONMarch 2018February 2022Allow4740YesNo
15937218VEHICLE INCIDENT DOCUMENTATION FOR BLOCKCHAINMarch 2018October 2022Allow5480YesNo
15913885Trait-Based Related Persons Systems and MethodsMarch 2018January 2025Allow6080YesNo
15908666QUERY TOPIC MAPFebruary 2018October 2020Abandon3220YesNo
15908671CONTENT CHANNEL CURATIONFebruary 2018November 2022Abandon5760YesNo
15880279TECHNIQUES FOR INTEGRATING VALIDATION RESULTS IN DATA PROFILING AND RELATED SYSTEMS AND METHODSJanuary 2018March 2021Allow3820YesNo
15740218FRAMEWORKS AND METHODOLOGIES FOR ENABLING SEARCHING AND/OR CATEGORISATION OF DIGITISED INFORMATION, INCLUDING CLINICAL REPORT DATADecember 2017February 2023Allow6050YesNo
15855220UPDATING SQLITE DATABASEDecember 2017November 2020Abandon3420NoNo
15825733FEATURE VECTOR PROFILE GENERATION FOR INTERVIEWSNovember 2017March 2021Allow4030YesNo
15825887PREDICTING STORAGE REQUIREMENTS OF A DATABASE MANAGEMENT SYSTEM BASED ON APPLICATION BEHAVIOR AND BEHAVIOR OF DATABASE QUERIESNovember 2017August 2022Allow5720YesYes
15824651MAINTAINING REFERENCES TO RELATED OBJECTS IN A DISTRIBUTED STORAGE NETWORKNovember 2017March 2021Abandon3910NoNo
15802911FEATURE MANAGEMENT FOR WEB MAP TILE SERVICESNovember 2017March 2021Allow4020YesYes
15785249GUIDING USERS IN INFORMATION EXTRACTION USING QUERY SUGGESTIONSOctober 2017November 2020Abandon3730NoNo
15672800COMPUTING APPARATUSES AND METHODS OF PROCESSING OPERATIONS THEREOFAugust 2017December 2020Allow4020NoNo
15673148SYSTEMS AND METHODS FOR TRACING SOFTWARE APPLICATION ACTIVITYAugust 2017March 2024Allow60110YesNo
15545491HASH INDEXJuly 2017January 2021Allow4230NoNo
15545425FOSTER TWIN DATA STRUCTUREJuly 2017March 2022Abandon5540NoNo
15545438MANAGEMENT SYSTEM, AND MANAGEMENT METHODJuly 2017September 2020Abandon3820NoNo
15646810Apparatus and Method for Creating User Defined Variable Size Tags on Records in RDBMSJuly 2017July 2021Abandon4820NoNo
15646818System and Method to Optimize Queries on a ViewJuly 2017July 2021Abandon4820NoNo
15646107METHOD FOR PERFORMING REPLICATION CONTROL IN A STORAGE SYSTEM WITH AID OF CHARACTERISTIC INFORMATION OF SNAPSHOT, AND ASSOCIATED APPARATUSJuly 2017June 2020Abandon3610NoNo
15456637DATA PROCESSING METHOD AND DEVICEMarch 2017June 2021Allow5120YesNo
15450975METHODS AND SYSTEMS FOR SOCIAL MATCHINGMarch 2017April 2022Abandon6030YesNo
15444654ANONYMIZATION SYSTEMFebruary 2017January 2021Allow4620NoNo
15431551QUERY CONDITIONS-BASED SECURITYFebruary 2017June 2018Allow1620YesNo
15430024Invariants Modeling and Detection for Heterogeneous LogsFebruary 2017November 2020Abandon4520YesNo
15405782METHOD AND SYSTEM OF STORING DATA FILESJanuary 2017October 2021Allow5740YesNo
15396060Selective Downloading of Shared Content Items in a Constrained Synchronization SystemDecember 2016June 2020Allow4220YesNo
15375197INCREASING STORAGE SPACE FOR PROCESSES IMPACTING DATA STORAGE SYSTEMSDecember 2016May 2018Abandon1720NoNo
15353651METHOD OF SUGGESTION OF CONTENT RETRIEVED FROM A SET OF INFORMATION SOURCESNovember 2016December 2019Abandon3710NoNo
15352431Reducing Reliance on Content Management System Resources in a Content Management SystemNovember 2016September 2022Allow6060YesNo
15352332STANDARDIZING VALUES OF A DATASETNovember 2016June 2020Allow4320YesNo
15283847QUALITY SCORING SYSTEM FOR ADVERTISEMENTS AND CONTENT IN AN ONLINE SYSTEMOctober 2016January 2019Abandon2730NoNo
15201566System and method for retrieving a signature on a secondary device using a device requestJuly 2016October 2019Abandon3910NoNo
15201229Automated Persona Feature SelectionJuly 2016April 2020Allow4520YesNo
15033163ABSTRACTION LAYER BETWEEN A DATABASE QUERY ENGINE AND A DISTRIBUTED FILE SYSTEMApril 2016January 2021Abandon5740YesNo
15086839Method and System for I/O Parallel Distributed Garbage Collection of a Deduplicated DatasetsMarch 2016December 2020Allow5740YesNo
15077096PREDICTIVE MODEL SEARCH BY COMMUNICATING COMPARATIVE STRENGTHMarch 2016June 2019Allow3950NoNo
15075177QUERY HINT LEARNING IN A DATABASE MANAGEMENT SYSTEMMarch 2016August 2018Allow2820YesNo
15065605AUTOMOTIVE SEARCH PLATFORMMarch 2016September 2019Abandon4210NoNo
15060637DATA INGESTION PROCESSMarch 2016December 2019Allow4660YesNo
14984548ALIGNING VISUAL CONTENT TO SEARCH TERM QUERIESDecember 2015January 2020Allow4940NoNo
14984619SELF-LEARNING WEBPAGE LAYOUT BASED ON HISTORY DATADecember 2015January 2022Allow6070YesYes
14977206CONTENT AGGREGATION AND AUTOMATED ASSESSMENT OF NETWORK-BASED PLATFORMSDecember 2015August 2020Allow5630YesNo
14977281METHODS OF SEARCHING THROUGH INDIRECT CLUSTER CONNECTIONSDecember 2015June 2019Allow4220YesNo
14946393COMPUTER-GUIDED CORPORATE RELATIONSHIP MANAGEMENTNovember 2015June 2022Allow6050YesNo
14864218QUERY DISAMBIGUATION IN A QUESTION-ANSWERING ENVIRONMENTSeptember 2015September 2018Allow3540YesNo
14779702SYSTEM AND METHOD FOR TOPICS EXTRACTION AND FILTERINGSeptember 2015December 2018Abandon3810NoNo
14863664METHOD AND SYSTEM FOR AGGREGATING OPINIONSSeptember 2015April 2018Abandon3010NoNo
14863425QUERY HINT LEARNING IN A DATABASE MANAGEMENT SYSTEMSeptember 2015August 2018Allow3420YesNo
14863389INTEREST-BASED SEARCH OPTIMIZATIONSeptember 2015January 2019Abandon3920YesNo
14856194SECURE SOCIAL CONNECTION VIA REAL-TIME BIOMETRICS AND COGNITIVE STATE COMPARISONSeptember 2015October 2020Allow6060YesNo
14856132METHODS AND APPARATUS FOR MANAGING A LARGE-SCALE ENVIRONMENT OF COPY DATA MANAGEMENT APPLIANCESSeptember 2015March 2019Allow4220YesNo
14856139QUERY TRANSFORMATION FOR NATURAL LANGUAGE QUERIESSeptember 2015January 2020Abandon5240YesNo
14827402HIGH-PERFORMANCE BLOOM FILTER ARRAYAugust 2015July 2019Allow4730YesNo
14796978PROCESSING SEARCH QUERIES FOR OPEN EDUCATION RESOURCESJuly 2015November 2019Abandon5240YesNo
14796379INCREASING STORAGE SPACE FOR PROCESSES IMPACTING DATA STORAGE SYSTEMSJuly 2015June 2018Allow3620YesNo
14719224PROCESSING UNKNOWN OR UNEXPECTED PROPERTIES ENCOUNTERED DURING MIGRATION OR ARCHIVING OPERATIONSMay 2015December 2019Allow5560YesNo
14697697SYSTEM AND METHOD FOR SEARCHING FOR, COLLECTING AND GENERATING MOLD SPORE DATA FOR MOLD REPORTS USING CLIMATE CODESApril 2015March 2019Allow4730YesNo
14686494ACCELERATION PROPERTY FOR PROCESSING DATA STREAMApril 2015November 2019Abandon5540YesNo
14686468BLOCK CHANGES FRAMEWORK FOR DELTA FILE INCREMENTAL BACKUPApril 2015August 2018Allow4020NoNo
14682603INDUCTIVE MATRIX COMPLETION AND GRAPH PROXIMITY FOR CONTENT ITEM RECOMMENDATIONApril 2015July 2019Allow5240YesNo
14682234DATA INGESTION PROCESSApril 2015January 2020Allow5760YesNo
14665289ELECTRONIC DEVICE AND CONTACT DISPLAY METHOD THEREFORMarch 2015August 2019Abandon5350YesNo
14665742SINGLE-TENANT RECOVERY WITH A MULTI-TENANT ARCHIVEMarch 2015January 2020Allow5850YesNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner DORAISWAMY, RANJIT P.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
4
Examiner Affirmed
2
(50.0%)
Examiner Reversed
2
(50.0%)
Reversal Percentile
71.9%
Higher than average

What This Means

With a 50.0% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
8
Allowed After Appeal Filing
5
(62.5%)
Not Allowed After Appeal Filing
3
(37.5%)
Filing Benefit Percentile
89.6%
Higher than average

Understanding Appeal Filing Strategy

Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.

In this dataset, 62.5% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Strategic Recommendations

Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.

Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Examiner DORAISWAMY, RANJIT P - Prosecution Strategy Guide

Executive Summary

Examiner DORAISWAMY, RANJIT P works in Art Unit 2166 and has examined 125 patent applications in our dataset. With an allowance rate of 68.0%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 45 months.

Allowance Patterns

Examiner DORAISWAMY, RANJIT P's allowance rate of 68.0% places them in the 31% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.

Office Action Patterns

On average, applications examined by DORAISWAMY, RANJIT P receive 3.30 office actions before reaching final disposition. This places the examiner in the 89% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by DORAISWAMY, RANJIT P is 45 months. This places the examiner in the 13% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.

Interview Effectiveness

Conducting an examiner interview provides a +48.7% benefit to allowance rate for applications examined by DORAISWAMY, RANJIT P. This interview benefit is in the 91% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 22.6% of applications are subsequently allowed. This success rate is in the 32% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 22.9% of cases where such amendments are filed. This entry rate is in the 32% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 40.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 37% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 63.6% of appeals filed. This is in the 43% percentile among all examiners. Of these withdrawals, 28.6% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.

Petition Practice

When applicants file petitions regarding this examiner's actions, 34.8% are granted (fully or in part). This grant rate is in the 21% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.

Examiner Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 11% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.

Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 13% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.

Prosecution Strategy Recommendations

Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:

  • Expect multiple rounds of prosecution: This examiner issues more office actions than average. Address potential issues proactively in your initial response and consider requesting an interview early in prosecution.
  • Prioritize examiner interviews: Interviews are highly effective with this examiner. Request an interview after the first office action to clarify issues and potentially expedite allowance.
  • Plan for extended prosecution: Applications take longer than average with this examiner. Factor this into your continuation strategy and client communications.

Relevant MPEP Sections for Prosecution Strategy

  • MPEP § 713.10: Examiner interviews - available before Notice of Allowance or transfer to PTAB
  • MPEP § 714.12: After-final amendments - may be entered "under justifiable circumstances"
  • MPEP § 1002.02(c): Petitionable matters to Technology Center Director
  • MPEP § 1004: Actions requiring primary examiner signature (allowances, final rejections, examiner's answers)
  • MPEP § 1207.01: Appeal conferences - mandatory for all appeals
  • MPEP § 1214.07: Reopening prosecution after appeal

Important Disclaimer

Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.

No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.

Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.

Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.