USPTO Examiner KHAN SHAHID K - Art Unit 2146

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18729101PAGE DISPLAY SPEED IMPROVEMENT PROCESSING SYSTEMJuly 2024April 2025Allow920YesNo
18760419UTILIZING DYNAMIC INTERFACE ELEMENTS TO IMPROVE USER INTERFACESJuly 2024May 2025Allow1000NoNo
18675206System and Method for Organizing and Designing CommentMay 2024November 2025Allow1810NoNo
18593836METHOD AND APPARATUS FOR DISPLAYING ONLINE DOCUMENT, AND STORAGE MEDIUMMarch 2024August 2024Allow610NoNo
18444041USER INTERFACE AND SYSTEMS FOR DOCUMENT CREATIONFebruary 2024February 2025Allow1210NoNo
18525525SYSTEMS AND METHODS FOR RENDERING INTERACTIVE WEB PAGESNovember 2023October 2025Allow2210YesNo
18513687SYSTEM INTEGRATING A MOBILE DEVICE APPLICATION CREATION, EDITING AND DISTRIBUTION SYSTEM WITH A WEBSITE DESIGN SYSTEMNovember 2023January 2025Allow1410YesNo
18375704WEB SITE GENERATION BASED ON STREAMS OF DATA RECORDSOctober 2023September 2025Allow2340YesNo
18263279Display Method and Electronic DeviceJuly 2023October 2025Allow2710NoNo
18226240SCREEN-OFF DISPLAY METHOD AND APPARATUSJuly 2023April 2025Allow2110NoNo
18225078DATA ISOLATION METHOD AND ELECTRONIC DEVICEJuly 2023April 2025Allow2110NoNo
18348227Methods and Systems for Dynamically Generating Contextual User Interface ElementsJuly 2023September 2025Abandon2630YesNo
18217616SIMULTANEOUS GESTURE AND TOUCH CONTROL ON A DISPLAYJuly 2023January 2026Abandon3120YesNo
18344654Multi-Layer Redaction Policies in Documents Stored Across a Plurality of RepositoriesJune 2023August 2024Allow1420YesNo
18214361Immersive Audio ToursJune 2023October 2025Abandon2820YesNo
18155443QUANTUM COMPUTING ASSISTED REDUCTION OF CARBON FOOTPRINTJanuary 2023July 2025Allow3010NoNo
18063636VISUAL SCRIPTING PROGRAM WITH SELECTABLE REROUTE NODE ICONDecember 2022February 2025Allow2610NoNo
17961768Systems, Methods, and Devices for a Form ConverterOctober 2022April 2025Allow3050YesNo
17961041Highly Scalable Quantum ControlOctober 2022February 2026Allow4010NoNo
17935555CHAINED FEATURE SYNTHESIS AND DIMENSIONAL REDUCTIONSeptember 2022March 2026Allow4110NoNo
17823326METAVERSE CONTEXTUAL COLLABORATION SPACESAugust 2022February 2026Allow4230YesNo
17821070PORTAL AND INTERFACE SYSTEM AND METHODAugust 2022August 2024Allow2420NoNo
17818852Interactive Graphical User Interfaces for Deployment and Application of Neural Network Models using Cross-Device Node-Graph PipelinesAugust 2022April 2025Allow3210NoNo
17760388SELECTING BIOLOGICAL SEQUENCES FOR SCREENING TO IDENTIFY SEQUENCES THAT PERFORM A DESIRED FUNCTIONAugust 2022December 2025Abandon4110NoNo
17759006CONTROLLING COUPLINGS BETWEEN QUANTUM DOTS IN A QUANTUM DOT ARRAYJuly 2022March 2026Abandon4410NoNo
17807290DEEP LEARNING ACCELERATION WITH MIXED PRECISIONJune 2022December 2025Allow4210YesNo
17833465CONVERTING A PORTABLE DOCUMENT FORMAT TO A LATEX FORMATJune 2022August 2024Allow2630YesNo
17752675WEB SITE PREVIEW GENERATION BASED ON WEB SITE TYPEMay 2022January 2025Abandon3240YesNo
17775039PREDICTION APPARATUS AND METHOD FOR N VALUE USING ARTIFICIAL INTELLIGENCE AND DATA AUGMENTATIONMay 2022October 2025Allow4210NoNo
17714275PREDICTING SERVICE-SPECIFIC ATTRITION EVENTS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSESApril 2022February 2026Allow4610YesNo
17762059ELECTROCARDIOGRAM MAPPING METHOD AND SYSTEMMarch 2022September 2025Allow4210NoNo
17653538GUIDING AND VALIDATING DOCUMENT SUBMISSIONSMarch 2022August 2025Allow4170YesNo
17675445SELECTION METHOD OF LEARNING DATA AND COMPUTER SYSTEMFebruary 2022September 2025Allow4310NoNo
17589370MULTIMODAL MULTITASK MACHINE LEARNING SYSTEM FOR DOCUMENT INTELLIGENCE TASKSJanuary 2022November 2025Allow4520YesNo
17648753DYNAMIC ACCESS CONTROL USING MACHINE LEARNINGJanuary 2022September 2025Allow4410NoNo
17643904SYSTEMS AND METHODS FOR TRAINING AND EXECUTING A MACHINE LEARNING MODEL FOR ANALYZING AN ELECTRONIC DATABASEDecember 2021November 2024Allow3500NoNo
17518457Communication System and MethodNovember 2021March 2025Abandon4160YesNo
17492294MACHINE LEARNING OUTPUTS WITH HIGH CONFIDENCE EXPLANATIONSOctober 2021January 2026Allow5120NoNo
17477148IMPROVING QUANTUM GATE INFIDELITY IN TRAPPED ION QUANTUM COMPUTERSSeptember 2021July 2025Allow4610NoNo
17462592ROOT CAUSE ANALYSIS FOR DETERMINISTIC MACHINE LEARNING MODELAugust 2021June 2025Allow4620YesNo
17411410ARTIFICIAL INTELLIGENCE (AI) BASED DATA MATCHING AND ALIGNMENTAugust 2021August 2025Allow4720YesNo
17432021NON-HOMOGENEOUS MACHINE LEARNING ARCHITECTURE FOR APPROXIMATING AN OVERALL FUNCTION AND TRAINING METHOD THEREOFAugust 2021March 2025Abandon4310NoNo
17430644METHOD AND SYSTEM OF DNN MODULARIZATION FOR OPTIMAL LOADINGAugust 2021December 2024Allow4010YesNo
17390784RECIPIENT NOTIFICATION RECOMMENDATION IN A DOCUMENT MANAGEMENT SYSTEMJuly 2021February 2025Allow4310YesNo
17348294ANOMALY DETECTION USING MACHINE LEARNING MODELS AND SIMILARITY REGULARIZATIONJune 2021February 2025Allow4410NoNo
17333766NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, LEARNING DEVICE, AND LEARNING METHODMay 2021February 2025Abandon4410NoNo
17323244REPLAYING USER ACTIVITY BY CAPTURING CONTENT AND REBUILDING THE WEBPAGE AT EACH WEB EVENTMay 2021July 2025Allow50100YesNo
17321617MARKOV PROCESSES USING ANALOG CROSSBAR ARRAYSMay 2021October 2024Allow4110YesNo
17245339NEURAL NETWORK ARCHITECTURE WITH HIGH BANDWIDTH MEMORY (HBM)April 2021February 2025Allow4620YesNo
17245144METHOD AND APPARATUS WITH NEURAL NETWORK OPERATIONApril 2021April 2025Allow4820YesNo
17245173METHOD OF TRAINING DEEP LEARNING MODEL FOR PREDICTING PATTERN CHARACTERISTICS AND METHOD OF MANUFACTURING SEMICONDUCTOR DEVICEApril 2021September 2024Allow4110YesNo
17273762DATA ANALYZERMarch 2021May 2025Abandon5040NoNo
17181085SYSTEMS AND METHODS FOR IMPLEMENTING DATA TRANSFORMATIONS IN MULTIPLE EXECUTION CONTEXTSFebruary 2021March 2026Allow6050YesNo
17270359AUTOMATIC QUERY CONSTRUCTION FOR KNOWLEDGE DISCOVERYFebruary 2021January 2025Abandon4710NoNo
17169161SECURE STORAGE AND PROCESSING OF DATA FOR GENERATING TRAINING DATAFebruary 2021August 2024Allow4310YesNo
17158969METHOD, APPARATUS, AND SYSTEM FOR REPRESENTING INTERNET OF VEHICLES KNOWLEDGE BASEJanuary 2021January 2025Allow4720NoNo
17261874METHOD FOR ESTIMATING THE CAPACITY OF LITHIUM BATTERY BASED ON CONVOLUTION LONG-SHORT-TERM MEMORY NEURAL NETWORKJanuary 2021April 2025Abandon5020NoNo
17152059LEARNING APPARATUS, IMAGE RECOGNITION APPARATUS, CONTROL METHOD FOR LEARNING APPARATUS, CONTROL METHOD FOR IMAGE RECOGNITION APPARATUS, AND STORAGE MEDIA STORING PROGRAMS CAUSING A COMPUTER TO EXECUTE THESE CONTROL METHODSJanuary 2021December 2025Abandon5940YesNo
17139408FORM EXTRACTORDecember 2020July 2024Allow4370NoNo
17134476MACHINE LEARNING OF INSIGHT COMMUNICATION SELECTION TO PROACTIVELY INCREASE USER ENGAGEMENTDecember 2020March 2026Allow6030NoNo
17133285PATTERN DISCOVERY, PREDICTION AND CAUSAL EFFECT ESTIMATION IN TREATMENT DISCONTINUATIONDecember 2020January 2025Allow4820NoNo
17124331SYSTEM, METHOD, AND COMPUTER PROGRAM FOR IDENTIFYING A HIDDEN CLASSDecember 2020June 2025Allow5330NoNo
17115489LEARNING ROBUST PREDICTORS USING GAME THEORYDecember 2020January 2025Allow4920NoNo
17113252MTJ-BASED HARDWARE SYNAPSE IMPLEMENTATION FOR BINARY AND TERNARY DEEP NEURAL NETWORKSDecember 2020August 2024Allow4510NoNo
17112699Deep Compositional Robotic Planners That Follow Natural Language CommandsDecember 2020February 2025Allow5131YesNo
17062753METHODS AND SYSTEMS FOR SLOT LINKING THROUGH MACHINE LEARNINGOctober 2020February 2026Allow6050YesNo
17029164INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUMSeptember 2020February 2025Abandon5330NoNo
17009977SYSTEM AND METHOD FOR MODEL-AGNOSTIC META-LEARNER FOR NOISY DATA WITH LABEL ERRORSSeptember 2020May 2024Allow4510NoNo
15693507DYNAMIC COGNITIVE OPTIMIZATION OF WEB APPLICATIONSSeptember 2017September 2019Allow2540NoNo
15291258MASKING AN OBJECT IN HYPERTEXT MARKUP LANGUAGEOctober 2016March 2018Allow1720NoNo
14980125Flexible Analytics-Driven Webpage Design and OptimizationDecember 2015May 2016Allow410YesNo
14849844MASKING AN OBJECT IN HYPERTEXT MARKUP LANGUAGESeptember 2015November 2017Allow2610YesNo
14755836VISUALLY SHOWING HOW RECENTLY A CHANGE WAS MADE TO A DOCUMENT BY USING COLOR INTENSITY AND/OR TYPEFACE AND/OR FONT AND/OR EMPHASISJune 2015September 2019Allow5160YesNo
14725707INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHODMay 2015November 2017Allow3010NoNo
14607208PREVIEWING INLINE AUTHORING OF WEB CONTENTJanuary 2015November 2017Allow3420NoNo
14445192PREVIEWING INLINE AUTHORING OF WEB CONTENTJuly 2014November 2017Allow4030YesNo
14314962ATTRIBUTE FILL USING TEXT EXTRACTIONJune 2014June 2018Allow4750YesNo
14113766MOBILE TERMINAL DEVICE, STORAGE MEDIUM, AND DISPLAY CONTROL METHODOctober 2013May 2017Allow4330YesNo
13721750PREVIEWING PROMINENT FEATURES OF REMOTE DOCUMENTSDecember 2012August 2015Allow3210YesNo
13671472SYSTEM FOR DETECTING AND CORRECTING BROKEN WORDSNovember 2012October 2015Allow3510YesNo
13558699TECHNIQUES FOR ANALYZING WEB PAGES TO DETERMINE FONT SUBSETSJuly 2012October 2015Allow3930NoNo
13247155NETWORK CONTACT MANAGEMENTSeptember 2011September 2015Allow4810NoNo

Appeals Overview

No appeal data available for this record. This may indicate that no appeals have been filed or decided for applications in this dataset.

Examiner KHAN, SHAHID K - Prosecution Strategy Guide

Executive Summary

Examiner KHAN, SHAHID K works in Art Unit 2146 and has examined 47 patent applications in our dataset. With an allowance rate of 83.0%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 45 months.

Allowance Patterns

Examiner KHAN, SHAHID K's allowance rate of 83.0% places them in the 56% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.

Office Action Patterns

On average, applications examined by KHAN, SHAHID K receive 2.49 office actions before reaching final disposition. This places the examiner in the 72% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by KHAN, SHAHID K is 45 months. This places the examiner in the 12% 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 +16.3% benefit to allowance rate for applications examined by KHAN, SHAHID K. This interview benefit is in the 57% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.

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 29% 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 37.5% of cases where such amendments are filed. This entry rate is in the 56% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.

Petition Practice

When applicants file petitions regarding this examiner's actions, 28.6% are granted (fully or in part). This grant rate is in the 16% 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 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:

  • 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.