USPTO Examiner DASGUPTA SHOURJO - Art Unit 2144

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18662972SCALABLE AND COMPRESSIVE NEURAL NETWORK DATA STORAGE SYSTEMMay 2024October 2025Allow1720NoNo
18440079TECHNIQUES FOR DISTRIBUTED INTERFACE COMPONENT GENERATIONFebruary 2024April 2025Allow1520YesNo
18410957BROWSING HIERARCHICAL DATASETSJanuary 2024September 2025Allow2130YesNo
18371391HYBRID SEARCH SYSTEM FOR CUSTOMIZABLE MEDIASeptember 2023January 2025Allow1610YesNo
18234613USER INTERFACES FOR AUDIO MEDIA CONTROLAugust 2023October 2024Allow1410YesNo
18217054Method and Apparatus for Vehicle Damage MappingJune 2023September 2024Allow1510YesNo
18197662INFORMATION OUTPUT SYSTEM AND METHODMay 2023July 2024Allow1530YesNo
18314704COMBINING FIRST USER INTERFACE CONTENT INTO SECOND USER INTERFACEMay 2023November 2024Allow1830YesNo
18193315MACHINE LEARNING INTEGRATION IN LOW-CODE NO-CODE APPLICATION DEVELOPMENTMarch 2023December 2025Allow3320YesNo
18190865GENERATING AND PROVIDING SYNTHESIZED TASKS PRESENTED IN A CONSOLIDATED GRAPHICAL USER INTERFACEMarch 2023October 2024Allow1920YesNo
18123540METHODS FOR FACILITATING ACCESS AND CUSTOMIZABLE INTERACTION WITH DATA VIA A CUSTOMIZED GRAPHICAL USER INTERFACE AND DEVICES THEREOFMarch 2023November 2025Allow3240NoNo
18184266EMPLOYEE WORKFLOW NAVIGATION SYSTEMMarch 2023October 2025Allow3140YesNo
18157162MULTI-SESSION AUTOMATION WINDOWS FOR ROBOTIC PROCESS AUTOMATION USING SAME CREDENTIALSJanuary 2023September 2025Abandon3220NoNo
18076240VISUALIZATION OF APPLICATION CAPABILITIESDecember 2022November 2025Allow3630YesNo
17984076ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOFNovember 2022July 2024Allow2130YesNo
17918263MONITORING AN ELECTRICAL-ENERGY TRANSMISSION SYSTEMOctober 2022October 2024Allow2530YesNo
17956515METHOD AND SYSTEM FOR FACILITATING WORKFLOWS VIA VOICE COMMUNICATIONSeptember 2022March 2026Abandon4160YesYes
17870848CIGARETTE DEVICE MANAGEMENT SYSTEM AND METHODJuly 2022November 2025Allow4010YesNo
17868148Method for Gas Detection Based on Multiple Quantum Neural NetworksJuly 2022December 2025Abandon4110NoNo
17741268TRANSITIONING APPLICATION WINDOWS BETWEEN LOCAL AND REMOTE DESKTOPSMay 2022June 2025Allow3750YesNo
17773093SYSTEM AND METHOD FOR OPERATING AN EVENT-DRIVEN ARCHITECTUREApril 2022September 2025Allow4110YesNo
17699263FEDERATED LEARNING METHOD USING SYNONYMMarch 2022August 2025Allow4110NoNo
17697104FEDERATED LEARNING SYSTEM USING SYNONYMMarch 2022August 2025Allow4110NoNo
17592345Congruent Quantum Computation Theory (CQCT)February 2022March 2026Abandon4910NoNo
17649576CONTROLLED PROPAGATION OF INPUT VALUES IN QUANTUM COMPUTINGFebruary 2022September 2025Allow4310NoNo
17578416COMPUTING CIRCUIT AND DATA PROCESSING METHOD BASED ON CONVOLUTIONAL NEURAL NETWORK AND COMPUTER READABLE STORAGE MEDIUMJanuary 2022September 2025Allow4410NoNo
17623665Human-Machine Multi-Turn Conversation Method and System for Human-Machine Interaction, and Intelligent ApparatusDecember 2021June 2025Allow4210NoNo
17562124METHOD OF DRIVING A QUANTUM COMPUTER TO FIND ONE OR MORE STATES OF INTEREST OF A NETWORKDecember 2021February 2026Allow4910NoNo
17604670METHOD AND APPARATUS FOR ADAPTING DEEP LEARNING MODEL, AND ELECTRONIC DEVICEOctober 2021July 2025Allow4510YesNo
17497193ELECTRONIC DEVICE AND CONTROL METHOD THEREOFOctober 2021August 2025Allow4620NoNo
17496934INFORMATION PROCESSING DEVICE, METHOD FOR SETTING HIDDEN NODES, AND METHOD FOR MANUFACTURING INFORMATION PROCESSING DEVICEOctober 2021September 2025Abandon4810NoNo
17491240GENERATING ESTIMATES BY COMBINING UNSUPERVISED AND SUPERVISED MACHINE LEARNINGSeptember 2021February 2026Allow5220NoNo
17489090PHASE INTERFEROMETRY DIRECTION FINDING VIA DEEP LEARNING TECHNIQUESSeptember 2021September 2025Abandon4810NoNo
17479547AUTOMATED DIGITAL TEXT OPTIMIZATION AND MODIFICATIONSeptember 2021January 2026Allow5120YesNo
17477713LEARNING BASED MODELING OF EMERGENT BEHAVIOUR OF COMPLEX SYSTEMSeptember 2021August 2025Allow4720YesNo
17478486SYSTEM AND METHOD TO GENERATE INSIGHT TEMPLATES FOR RISK PROBABILITY ANALYSISSeptember 2021August 2025Allow4720YesNo
17446020MULTI-MODAL FEW-SHOT LEARNING DEVICE FOR USER IDENTIFICATION USING WALKING PATTERN BASED ON DEEP LEARNING ENSEMBLEAugust 2021October 2025Abandon5020NoNo
17406431DYNAMIC VEHICLE OPERATIONAugust 2021November 2025Abandon5120YesNo
17344254TRAINING PERSPECTIVE COMPUTER VISION MODELS USING VIEW SYNTHESISJune 2021April 2025Allow4710YesNo
17342719SENSOR DATA PROCESSINGJune 2021November 2025Allow5420NoNo
17341511MULTI-USER CAMERA SWITCH ICON DURING VIDEO CALLJune 2021October 2025Allow5260YesYes
17328661Operational Analysis For Machine Learning ModelMay 2021July 2025Allow5020YesNo
17321709Supporting Database Constraints in Synthetic Data Generation Based on Generative Adversarial NetworksMay 2021May 2025Allow4810YesNo
17239320ENERGY BASED PROCESSES FOR EXCHANGEABLE DATAApril 2021April 2025Abandon4810NoNo
17235183MULTI-DOMAIN DETECTOR BASED ON ARTIFICIAL NEURAL NETWORKApril 2021April 2025Allow4810YesNo
17283254DATA CLASSIFICATION DEVICE, DATA CLASSIFICATION METHOD, AND DATA CLASSIFICATION PROGRAMApril 2021July 2025Allow5120YesNo
17276949AI MODEL DEVELOPMENT METHOD AND APPARATUSMarch 2021June 2025Abandon5120NoNo
17277016METHOD FOR DECODING, COMPUTER PROGRAM PRODUCT, AND DEVICEMarch 2021October 2025Abandon5520NoNo
17277259LEARNING DEVICE, ESTIMATION DEVICE, LEARNING METHOD, ESTIMATION METHOD, AND PROGRAMMarch 2021October 2025Abandon5520NoNo
17273428SELECTING DEVICE AND SELECTING METHODMarch 2021June 2025Abandon5120NoNo
17270853ARCHITECTURE OF A COMPUTER FOR CALCULATING A CONVOLUTION LAYER IN A CONVOLUTIONAL NEURAL NETWORKFebruary 2021January 2026Allow5940YesNo
17169718SORTING ATTENTION NEURAL NETWORKSFebruary 2021March 2025Allow4920YesNo
17127778SYSTEM AND METHOD FOR PERFORMING TREE-BASED MULTIMODAL REGRESSIONDecember 2020January 2026Abandon6040YesNo
17127904METHOD FOR STATIC SCHEDULING OF ARTIFICIAL NEURAL NETWORKS FOR A PROCESSORDecember 2020March 2025Allow5110YesNo
17091499Knowledge-Driven and Self-Supervised System for Question-AnsweringNovember 2020November 2025Allow6030NoNo
17090553SYSTEMS AND METHODS FOR A K-NEAREST NEIGHBOR BASED MECHANISM OF NATURAL LANGUAGE PROCESSING MODELSNovember 2020November 2024Allow4920YesNo
17049065ARITHMETIC DEVICEOctober 2020August 2024Allow4620YesNo
17070456WORKBOOKS FOR ONLINE TOOLSOctober 2020November 2024Abandon4960YesNo
17037525ORCHESTRATION FOR BUILDING AND EXECUTING MACHINE LEARNING PIPELINES ON GRAPH DATASeptember 2020April 2025Allow5430YesNo
16845451CREATING AN APP METHOD AND SYSTEMApril 2020May 2025Abandon6060YesYes
16571315INTELLIGENT ENCLOSURE SYSTEMS AND COMPUTING METHODSSeptember 2019September 2025Abandon6060YesYes
16291399EXPERT-DRIVEN, TECHNOLOGY-FACILITATED INTERVENTION SYSTEM FOR IMPROVING INTERPERSONAL RELATIONSHIPSMarch 2019October 2025Abandon6030NoYes
16254128Methods for Detecting Events in Sports using a Convolutional Neural NetworkJanuary 2019August 2024Allow6060YesNo
15414960INFORMATION PROCESSING APPARATUS AND REGISTRATION METHODJanuary 2017September 2019Allow3210YesNo
15205979INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM, AND DISTRIBUTION DEVICEJuly 2016April 2019Allow3320NoNo
15186824IMAGE PROCESSING APPARATUS, METHOD FOR CONTROLLING OPERATION OF IMAGE PROCESSING APPARATUS, AND RECORDING MEDIUMJune 2016April 2019Allow3420NoNo
14515646Providing Enhanced Application InteroperabilityOctober 2014February 2019Allow5240YesNo
14341326METHOD FOR CONTROLLING A VIRTUAL KEYBOARD FROM A TOUCHPAD OF A COMPUTERIZED DEVICEJuly 2014October 2017Allow3820YesNo
14059360TEXT ENTRY BASED ON PERSISTING ACTIONSOctober 2013May 2018Allow5550YesNo
14009095APPLICATION EQUIVALENCE MAP FOR SYNCHRONIZED POSITIONING OF APPLICATION ICONS ACROSS DEVICE PLATFORMSSeptember 2013April 2017Allow4340YesNo
13485814GENERATING NOTIFICATIONS BASED ON FORMATION OF MEMBERSHIPSMay 2012September 2017Allow6060YesNo
13343265WEB VIDEO OCCLUSION: A METHOD FOR RENDERING THE VIDEOS WATCHED OVER MULTIPLE WINDOWSJanuary 2012February 2015Allow3830YesNo
13160938GRAPHICAL USER INTERFACE DEVICEJune 2011July 2015Allow4950YesNo
13155536VIRTUAL MEETING VIDEO SHARINGJune 2011August 2013Allow2720YesNo
13155760LETTER INPUT METHOD AND APPARATUS OF PORTABLE TERMINALJune 2011April 2014Allow3530YesNo
13077010METHOD AND APPARATUS FOR PROVIDING COLLABORATION BETWEEN REMOTE AND ON-SITE USERS OF INDIRECT AUGMENTED REALITYMarch 2011February 2015Allow4720YesNo
11582314IMAGE REPRODUCTION APPARATUS AND IMAGE REPRODUCTION PROGRAMOctober 2006January 2014Allow6050NoNo
10346351System and method for mouseless navigation of web applicationsJanuary 2003May 2017Allow6060NoYes

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner DASGUPTA, SHOURJO.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
5
Examiner Affirmed
4
(80.0%)
Examiner Reversed
1
(20.0%)
Reversal Percentile
31.7%
Lower than average

What This Means

With a 20.0% 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
7
Allowed After Appeal Filing
1
(14.3%)
Not Allowed After Appeal Filing
6
(85.7%)
Filing Benefit Percentile
17.0%
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, 14.3% 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 DASGUPTA, SHOURJO - Prosecution Strategy Guide

Executive Summary

Examiner DASGUPTA, SHOURJO works in Art Unit 2144 and has examined 52 patent applications in our dataset. With an allowance rate of 73.1%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 50 months.

Allowance Patterns

Examiner DASGUPTA, SHOURJO's allowance rate of 73.1% places them in the 37% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.

Office Action Patterns

On average, applications examined by DASGUPTA, SHOURJO receive 2.75 office actions before reaching final disposition. This places the examiner in the 80% 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 DASGUPTA, SHOURJO is 50 months. This places the examiner in the 5% 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 +32.2% benefit to allowance rate for applications examined by DASGUPTA, SHOURJO. This interview benefit is in the 80% 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, 18.5% of applications are subsequently allowed. This success rate is in the 18% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 41.0% of cases where such amendments are filed. This entry rate is in the 63% 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.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 100.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 71% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 37.5% of appeals filed. This is in the 6% percentile among all examiners. Of these withdrawals, 33.3% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.

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.
  • 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.