USPTO Examiner PARK GRACE A - Art Unit 2144

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19186967METHOD, APPARATUS AND DEVICE FOR IMPLEMENTING SEARCHApril 2025September 2025Allow510NoNo
18744393PERSONALIZED RETRIEVAL-AUGMENTED GENERATION SYSTEMJune 2024April 2025Allow1120YesNo
18679035STORING AND QUERYING ALTERNATE SCENARIOS OF DATA IN A DATABASEMay 2024March 2026Allow2110NoNo
18653777MISCONDUCT METRICS REPORTING GENERATION AND RENDERING ENGINE APPARATUSES, METHODS, SYSTEMS AND MEDIAMay 2024May 2025Allow1300NoNo
18644336SERVERLESS DATA LAKE INDEXING SUBSYSTEM AND APPLICATION PROGRAMMING INTERFACEApril 2024November 2025Allow1910YesNo
18435782Selective Presentation of Content Types and Sources in SearchFebruary 2024July 2025Allow1720YesNo
18278850FAST EVALUATION METHOD OF SITE SEISMIC LIQUEFACTION HAZARD BASED ON ARTIFICIAL INTELLIGENCE ALGORITHMFebruary 2024November 2025Allow2710NoNo
18416342OPTIMIZED CONTENT GENERATION METHOD AND SYSTEMJanuary 2024February 2026Allow2510NoNo
18390590MEDIA COMSUMPTION HISTORYDecember 2023May 2025Allow1710NoNo
18510563MIRRORING A DIGITAL TWIN UNIVERSE THROUGH THE DATA FUSION OF STATIC AND DYNAMIC LOCATION, TIME AND EVENT DATANovember 2023April 2025Allow1710NoNo
18383222METHOD, APPARATUS AND DEVICE FOR IMPLEMENTING SEARCHOctober 2023January 2025Allow1530NoNo
18241030Data Center Monitoring and Management Operation Including a Data Tag Management OperationAugust 2023July 2025Allow2320YesNo
18240643MACHINE-LEARNING BASED GENERATION OF DATABASE CONFIGURATIONS FOR DATABASES ASSOCIATED WITH APPLICATIONSAugust 2023March 2025Allow1920YesNo
18458116CASCADED REPLICATIONAugust 2023September 2025Allow2510NoNo
18264867FILE CONNECTION METHOD AND APPARATUS, TERMINAL DEVICE, AND STORAGE MEDIUMAugust 2023October 2025Allow2720NoNo
18260768Intelligent Computer Search Engine Removal Of Search ResultsJuly 2023June 2025Allow2320YesNo
18343775CONTENT CHANGE MONITORINGJune 2023February 2026Abandon3140YesNo
18259407SPATIAL JOIN QUERY METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUMJune 2023April 2025Allow2220NoNo
18338843COMPUTER-READABLE RECORDING MEDIUM STORING DATA MANAGEMENT PROGRAM, DATA MANAGEMENT METHOD, AND DATA MANAGEMENT DEVICEJune 2023February 2025Abandon2010NoNo
18265900DATA STORAGE DEVICE, DATA STORAGE METHOD, AND DATA STORAGE PROGRAMJune 2023April 2025Allow2320YesNo
18254191METHOD AND SYSTEM FOR A SEMANTIC TEXTUAL SIMILARITY SEARCHMay 2023March 2026Allow3420NoYes
18322176SYSTEM AND METHOD FOR CONTENT SYNCHRONIZATIONMay 2023March 2025Allow2120YesNo
18128144DATA PROCESSING METHOD, APPARATUS, AND SYSTEM, COMPUTER DEVICE, READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCTMarch 2023May 2025Allow2530NoNo
18175917METHODS AND SYSTEMS FOR UNDETERMINED QUERY ANALYTICSFebruary 2023January 2025Allow2230YesNo
18161149METHOD AND APPARATUS FOR IDENTIFYING RELATED RECORDSJanuary 2023December 2024Allow2310NoNo
18161879SYSTEM AND METHOD FOR PHARMACOPHORE-CONDITIONED GENERATION OF MOLECULESJanuary 2023September 2025Allow3200NoNo
18101327AUTOMATED METADATA ASSET CREATION USING MACHINE LEARNING MODELSJanuary 2023February 2025Allow2520NoNo
18005941RECOMMENDATION METHOD AND APPARATUS, AND METHOD AND APPARATUS FOR PUBLISHING ONLINE PREDICTION MODELJanuary 2023March 2026Allow3810NoNo
18149682SKETCHED AND CLUSTERED FEDERATED LEARNING WITH AUTOMATIC TUNINGJanuary 2023February 2026Allow3700NoNo
18004006METHOD FOR EFFICIENT RE-RANKING AND CLASSIFICATION OF AMBIGUOUS INPUTS IN DEEP HIERARCHYDecember 2022January 2025Allow2520YesNo
18067684PROBABILISTIC DATA STRUCTURES EMBEDDED IN DATABASE INDEXESDecember 2022September 2025Allow3330NoNo
18000553AN ARTIFICIAL SYNAPSE CIRCUITDecember 2022August 2025Allow3200NoNo
18070461DATA SUBSAMPLING FOR RECOMMENDATION SYSTEMSNovember 2022February 2026Allow3810NoNo
17986173METHODS AND SYSTEMS FOR MANAGING NETWORKED STORAGE SYSTEM RESOURCESNovember 2022January 2025Allow2630YesNo
17966892STORAGE MEDIUM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUSOctober 2022January 2026Allow3910NoNo
17958592SYSTEMS AND METHODS FOR GENERATING NEW RECORD OBJECTS BASED ON ELECTRONIC ACTIVITIESOctober 2022December 2024Allow2620NoNo
17933907DETECTING AND RECTIFYING MODEL DRIFT USING GOVERNANCESeptember 2022November 2025Allow3710YesNo
17946770Method, System, and Computer Program Product for Determining Relationships of Entities Associated with InteractionsSeptember 2022February 2026Allow4110NoNo
17909959UNSUPERVISED INVERTIBLE PHYSICS-BASED VECTOR REPRESENTATION FOR MOLECULESSeptember 2022October 2025Allow3710NoNo
17929758INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAMSeptember 2022May 2025Abandon3340NoNo
17901053TRAINING OF MACHINE LEARNING MODELS WITH HARDWARE-IN-THE-LOOP SIMULATIONSSeptember 2022February 2026Allow4110YesNo
17895665SYSTEM AND METHOD FOR QUERY ACCELERATION FOR USE WITH DATA ANALYTICS ENVIRONMENTSAugust 2022July 2025Allow3530NoNo
17758937HEARTBEAT CLASSIFICATION METHOD AND DEVICE FOR MULTI-TAG ECG SIGNAL LABELINGJuly 2022September 2025Allow3810NoNo
17859410SYSTEMS AND METHODS FOR AUTOMATIC INDEX CREATION IN DATABASE DEPLOYMENTJuly 2022August 2025Allow3740YesNo
17781987PREDICTOR INTERACTIVE LEARNING SYSTEM, PREDICTOR INTERACTIVE LEARNING METHOD, AND PROGRAMJune 2022October 2025Allow4010NoNo
17826433KNOWLEDGE DISTILLATION METHOD BASED ON REGRESSION TASK AND COMPUTING DEVICE FOR EXECUTING THE METHODMay 2022October 2025Allow4110YesNo
17780100STRUCTURE OPTIMIZATION APPARATUS, STRUCTURE OPTIMIZATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUMMay 2022November 2025Abandon4210NoNo
17741612METHOD AND SYSTEM FOR MACHINE LEARNING BASED UNDERSTANDING OF DATA ELEMENTS IN MAINFRAME PROGRAM CODEMay 2022February 2026Allow4500NoNo
17739716SYSTEM AND METHOD FOR EFFICIENT TRANSFORMATION PREDICTION IN A DATA ANALYTICS PREDICTION MODEL PIPELINEMay 2022July 2025Allow3810YesNo
17660735Machine Learning Models In An Artificial Intelligence InfrastructureApril 2022April 2025Allow3550YesNo
17728259DISCRIMINATION LIKELIHOOD ESTIMATE FOR TRAINED MACHINE LEARNING MODELApril 2022August 2025Allow4010YesNo
17726675METHOD AND APPARATUS FOR MACHINE LEARNING BASED INLET DEBRIS MONITORINGApril 2022December 2025Allow4420NoNo
17770049COOPERATIVE TRAINING MIGRATIONApril 2022August 2025Allow4010YesNo
17721873Hybrid and Hierarchical Multi-Trial and OneShot Neural Architecture Search on Datacenter Machine Learning AcceleratorsApril 2022November 2025Allow4320YesNo
17655473Predictive Modeling of Aircraft DynamicsMarch 2022May 2025Allow3820YesNo
17590489AUTOMATIC ANOMALY THRESHOLDING FOR MACHINE LEARNINGFebruary 2022September 2025Allow4310YesNo
17570372SYSTEMS AND METHODS FOR DETECTING AND REPAIRING DATA ERRORS USING ARTIFICIAL INTELLIGENCEJanuary 2022June 2025Allow4140YesNo
17615612RECOMMENDING CONTENT ITEMS TO A USERDecember 2021November 2025Abandon4720NoYes
17453540INCREMENTAL MACHINE LEARNING FOR A PARAMETRIC MACHINE LEARNING MODELNovember 2021September 2025Allow4620YesNo
17452519CAUSAL MULTI-TOUCH ATTRIBUTIONOctober 2021December 2025Allow5040YesNo
17509598BINARY COMPARISON AND REDUCTION OPERATIONS IN NEURAL NETWORK PROCESSOROctober 2021May 2025Allow4310NoNo
17305227PREDICTIVE MODELING FOR FORGED COMPONENTSJuly 2021September 2025Allow5020YesNo
17345037OPTIMIZATION DEVICE, OPTIMIZATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM STORING OPTIMIZATION PROGRAMJune 2021July 2025Abandon4910NoNo
17170539BUILDING MANAGEMENT SYSTEM WITH CONFIGURATION BY BUILDING MODEL AUGMENTATIONFebruary 2021September 2025Allow5650YesNo
16809679AUTOMATED GRAPH EMBEDDING RECOMMENDATIONS BASED ON EXTRACTED GRAPH FEATURESMarch 2020January 2026Allow6060YesYes
16251058Apparatuses, methods and Systems for Automated Online Data SubmissionJanuary 2019January 2025Allow6060NoNo
15706412RELATIONAL DATABASE RECOVERYSeptember 2017November 2017Allow200NoNo
15366712DYNAMIC COMBINATION OF PROCESSES FOR SUB-QUERIESDecember 2016April 2017Allow500YesNo
15366523DYNAMIC COMBINATION OF PROCESSES FOR SUB-QUERIESDecember 2016April 2017Allow500YesNo
15362857RELATIONAL DATABASE RECOVERYNovember 2016June 2017Allow700NoNo
15293704MANAGING FILE CHANGES MADE DURING A REVIEW PROCESSOctober 2016March 2017Allow500NoNo
15265890MANAGING FILE CHANGES MADE DURING A REVIEW PROCESSSeptember 2016March 2017Allow600NoNo
15194935OPTIMIZING RELATIONAL DATABASE QUERIES WITH MULTI-TABLE PREDICATE EXPRESSIONSJune 2016October 2017Allow1520YesNo
15184038RELATIONAL DATABASE RECOVERYJune 2016September 2016Allow300NoNo
15067560DYNAMIC COMBINATION OF PROCESSES FOR SUB-QUERIESMarch 2016October 2016Allow700NoNo
15004967RANGING SCALABLE TIME STAMP DATA SYNCHRONIZATIONJanuary 2016November 2016Allow1010NoNo
14977473DYNAMIC SEMANTIC MODELS HAVING MULTIPLE INDICESDecember 2015October 2016Allow920NoNo
14959292MANAGING FILE CHANGES MADE DURING A REVIEW PROCESSDecember 2015July 2016Allow720YesNo
14732825MANAGING FILE CHANGES MADE DURING A REVIEW PROCESSJune 2015November 2016Allow1810YesNo
14419700METHOD AND SYSTEM FOR STORING A FILE ON A PLURALITY OF SERVERSFebruary 2015May 2018Allow3910NoNo
14553152OPTIMIZING RELATIONAL DATABASE QUERIES WITH MULTI-TABLE PREDICATE EXPRESSIONSNovember 2014October 2016Allow2210NoNo
14551591INFERRED OPERATIONS FOR DATA ANALYSISNovember 2014November 2016Allow2410YesNo
14472296DOCUMENT CLASSIFICATION SYSTEM, DOCUMENT CLASSIFICATION METHOD, AND DOCUMENT CLASSIFICATION PROGRAMAugust 2014September 2016Allow2430NoNo
14270419OPTIMIZING RELATIONAL DATABASE QUERIES WITH MULTI-TABLE PREDICATE EXPRESSIONSMay 2014May 2016Allow2410NoNo
14219100INFERRED OPERATIONS FOR DATA ANALYSISMarch 2014July 2016Allow2820YesNo
13936451Predicting Object Identity Using An Ensemble of PredictorsJuly 2013August 2017Allow5010NoNo
13801510PRESERVING REDUNDANCY IN DATA DEDUPLICATION SYSTEMS BY DESIGNATION OF VIRTUAL ADDRESSMarch 2013October 2015Allow3170YesNo
13801724PRESERVING REDUNDANCY IN DATA DEDUPLICATION SYSTEMS BY DESIGNATION OF VIRTUAL DEVICEMarch 2013July 2018Allow6090NoNo
13816134TREE COMPARISON TO MANAGE PROGRESSIVE DATA STORE SWITCHOVER WITH ASSURED PERFORMANCEFebruary 2013March 2015Allow2610YesNo
13816075Entropy Coding and Decoding Using Polar CodesFebruary 2013June 2016Allow4030NoNo
13737134TEMPORAL PATTERN MATCHING IN LARGE COLLECTIONS OF LOG MESSAGESJanuary 2013March 2015Allow2620NoNo
13568642INCREMENTAL DYNAMIC DOCUMENT INDEX GENERATIONAugust 2012September 2015Allow3740YesNo
13553129MANAGING INFORMATION ASSETS USING FEEDBACK RE-ENFORCED SEARCH AND NAVIGATIONJuly 2012October 2016Allow5140YesYes
13532221ORDERING IMAGE SEARCH RESULTSJune 2012June 2013Allow1110YesNo
13458805GENERATING CANDIDATE ENTITIES USING OVER FREQUENT KEYSApril 2012August 2014Allow2820YesYes
13457093NESTING LEVELApril 2012January 2017Allow5620NoYes
13453270PRESERVING REDUNDANCY IN DATA DEDUPLICATION SYSTEMS BY DESIGNATION OF VIRTUAL DEVICEApril 2012July 2018Allow6090NoNo
13284260METHOD AND SYSTEM FOR IDENTIFYING JOB CANDIDATESOctober 2011August 2013Allow2210NoNo
13278943DYNAMIC SMT IN PARALLEL DATABASE SYSTEMSOctober 2011June 2015Allow4440YesYes
13166394Creating and Managing Reference Elements of Deployable Web Archive FilesJune 2011June 2013Allow2420YesNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner PARK, GRACE A.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
7
Examiner Affirmed
5
(71.4%)
Examiner Reversed
2
(28.6%)
Reversal Percentile
44.5%
Lower than average

What This Means

With a 28.6% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
11
Allowed After Appeal Filing
2
(18.2%)
Not Allowed After Appeal Filing
9
(81.8%)
Filing Benefit Percentile
22.0%
Lower 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, 18.2% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.

Strategic Recommendations

Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.

Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.

Examiner PARK, GRACE A - Prosecution Strategy Guide

Executive Summary

Examiner PARK, GRACE A works in Art Unit 2144 and has examined 60 patent applications in our dataset. With an allowance rate of 96.7%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 39 months.

Allowance Patterns

Examiner PARK, GRACE A's allowance rate of 96.7% places them in the 87% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.

Office Action Patterns

On average, applications examined by PARK, GRACE A receive 3.05 office actions before reaching final disposition. This places the examiner in the 88% 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 PARK, GRACE A is 39 months. This places the examiner in the 26% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +7.7% benefit to allowance rate for applications examined by PARK, GRACE A. This interview benefit is in the 37% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 21.5% of applications are subsequently allowed. This success rate is in the 26% 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 27.5% of cases where such amendments are filed. This entry rate is in the 39% 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, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 6% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 58.8% of appeals filed. This is in the 33% percentile among all examiners. Of these withdrawals, 20.0% 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, 12.5% are granted (fully or in part). This grant rate is in the 8% 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 10% 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 11% 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.

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.