USPTO Examiner ALSIP MICHAEL - Art Unit 2136

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18822209CODEBOOK MANAGEMENT BASED ON DATA SOURCE GROUPINGSeptember 2024June 2025Allow910NoNo
18822208SYSTEM AND METHOD FOR RANDOM-ACCESS MANIPULATION OF COMPACTED DATA FILESSeptember 2024November 2024Allow310NoNo
18770652SYSTEM AND METHOD FOR DYADIC DISTRIBUTION-BASED COMPRESSION AND ENCRYPTIONJuly 2024February 2025Allow700NoNo
18737474SYSTEM AND METHOD FOR DATA COMPACTION AND ENCRYPTION OF ANONYMIZED DATA RECORDSJune 2024June 2025Allow1210NoNo
18663060DATA COMPACTION UTILIZING DELTA ENCODINGMay 2024June 2025Allow1310NoNo
18653482PERSONAL HEALTH MONITOR DATA COMPACTION USING MULTIPLE ENCODING ALGORITHMSMay 2024June 2025Allow1310NoNo
18593931SYSTEM AND METHOD FOR CODEBOOK MANAGEMENT BASED ON DATA SOURCE GROUPINGMarch 2024July 2024Allow410NoNo
18434756MEDICAL IMAGING DATA COMPRESSION UTILIZING CODEBOOKSFebruary 2024July 2024Allow620NoNo
18418825ENHANCED k-SAT SOLVER USING ANALOG CONTENT ADDRESSABLE MEMORYJanuary 2024March 2025Allow1410NoNo
18415230MEMORY DEVICE, MEMORY SYSTEM, AND METHOD FOR DATA CALCULATION WITH THE MEMORY DEVICEJanuary 2024May 2025Allow1610YesNo
18412439SYSTEM AND METHOD FOR RANDOM-ACCESS MANIPULATION OF COMPACTED DATA FILESJanuary 2024May 2024Allow410NoNo
18401582DATA COMPRESSION UTILIZING MISMATCH PROBABILITY ESTIMATIONDecember 2023March 2025Allow1510NoNo
18396508SYSTEM AND METHOD FOR PERSONAL HEALTH MONITOR DATA COMPACTION USING MULTIPLE ENCODING ALGORITHMSDecember 2023March 2024Allow200NoNo
18545540SYSTEM AND METHOD FOR CODEBOOK-BASED DATA ENCODINGDecember 2023March 2025Allow1530NoNo
18530147SYSTEM AND METHOD FOR DISTRIBUTED NODE-BASED DATA COMPACTIONDecember 2023March 2025Allow1610NoNo
18520473SYSTEM AND METHOD FOR DATA COMPACTION WITH CODEBOOK STATISTICAL ESTIMATESNovember 2023March 2025Allow1610NoNo
18515272SYSTEM AND METHOD FOR ENCRYPTED DATA COMPACTIONNovember 2023August 2024Allow910NoNo
18516924SYSTEM AND METHOD FOR MANIPULATION OF COMPACTED DATA FILESNovember 2023May 2025Allow1810NoNo
18503135SYSTEM AND METHOD FOR ENCRYPTED DATA COMPRESSIONNovember 2023December 2024Allow1310NoNo
18499232SYSTEM AND METHOD FOR DATA COMPACTION UTILIZING MISMATCH PROBABILITY ESTIMATIONNovember 2023January 2025Allow1520NoNo
18491754SYSTEM AND METHOD FOR DATA COMPRESSION AND ENCRYPTION USING ASYMMETRIC CODEBOOKSOctober 2023May 2025Allow1920NoNo
18490417SYSTEM AND METHOD FOR DATA COMPACTION UTILIZING DISTRIBUTED CODEBOOK ENCODINGOctober 2023December 2024Allow1410NoNo
18480497SYSTEM AND METHOD FOR SECURING HIGH-SPEED INTRACHIP COMMUNICATIONSOctober 2023August 2024Allow1110NoNo
18479638ZONE BLOCK STAGING COMPONENT FOR A MEMORY SUB-SYSTEM WITH ZONED NAMESPACEOctober 2023January 2025Allow1610NoNo
18479024SYSTEM AND METHOD FOR COMPACTION OF FLOATING-POINT NUMBERS WITHIN A DATASETSeptember 2023March 2025Allow1810NoNo
18478479INTELLIGENT SUBSEGMENT FORMATION IN A HETEROGENEOUS STORAGE SYSTEMSeptember 2023April 2025Allow1800NoNo
18373483ZONED NAMESPACE WITH ZONE GROUPINGSeptember 2023May 2024Allow800NoNo
18469520SYSTEM AND METHOD FOR DATA COMPACTION AND ENCRYPTION OF ANONYMIZED DATA RECORDSSeptember 2023April 2024Allow700NoNo
18460676SYSTEM AND METHOD FOR ERROR-RESILIENT DATA COMPRESSION USING CODEBOOKSSeptember 2023April 2024Allow810NoNo
18453335SYSTEM AND METHOD FOR MULTIPLE PASS DATA COMPACTION UTILIZING DELTA ENCODINGAugust 2023March 2024Allow700NoNo
18449706SYSTEM AND METHODS FOR BANDWIDTH-EFFICIENT DATA ENCODINGAugust 2023August 2024Allow1220NoNo
18449617SYSTEM AND METHOD FOR FILE TYPE IDENTIFICATION USING MACHINE LEARNINGAugust 2023June 2025Allow2250NoNo
18318847MANAGING DEDUPLICATION OPERATIONS BASED ON A LIKELIHOOD OF DUPLICABILITYMay 2023March 2024Allow1010NoNo
18317836SEEK SCHEDULING IN A SPLIT ACTUATOR DRIVEMay 2023November 2023Allow600NoNo
18295238SYSTEM AND METHOD FOR DATA COMPACTION UTILIZING MISMATCH PROBABILITY ESTIMATIONApril 2023October 2023Allow710NoNo
18295143LOCAL INTERNAL DISCOVERY AND CONFIGURATION OF INDIVIDUALLY SELECTED AND JOINTLY SELECTED DEVICESApril 2023February 2024Allow1010NoNo
18120827STORAGE SYSTEMMarch 2023August 2024Allow1820NoNo
18178556SYSTEM AND METHOD FOR DATA COMPACTION AND ENCRYPTION OF ANONYMIZED DATASETSMarch 2023May 2023Allow200NoNo
18147707SYSTEM AND METHOD FOR DATA COMPACTION AND SECURITY USING MULTIPLE ENCODING ALGORITHMSDecember 2022August 2023Allow710NoNo
18083437SYSTEM AND METHOD FOR LOW-DISTORTION COMPACTION OF FLOATING-POINT NUMBERSDecember 2022May 2023Allow510NoNo
18078698SYSTEMS AND METHODS FOR MULTI-TIERED DATA STORAGE ABSTRACTION LAYERDecember 2022July 2024Allow1920YesYes
18078909SYSTEM AND METHOD FOR RANDOM-ACCESS MANIPULATION OF COMPACTED DATA FILESDecember 2022August 2023Allow910NoNo
18078911SYSTEM AND METHOD FOR MULTIPLE PASS DATA COMPACTION UTILIZING DELTA ENCODINGDecember 2022April 2023Allow410NoNo
18078907SYSTEM AND METHOD FOR ERROR-RESILIENT DATA REDUCTIONDecember 2022April 2023Allow410NoNo
18061850ADJUSTABLE MEMORY OPERATION SETTINGS BASED ON MEMORY SUB-SYSTEM OPERATING REQUIREMENTSDecember 2022April 2023Allow400NoNo
18071052MEMORY MANAGEMENT METHOD AND SEMICONDUCTOR DEVICE ADJUSTING SIZE OF CONTIGUOUS MEMORY ALLOCATION AREANovember 2022April 2025Allow2830YesNo
17994359SYSTEM AND METHOD FOR COMPUTER DATA TYPE IDENTIFICATIONNovember 2022April 2023Allow410NoNo
17979587Dynamic Adjustment of Input/Output (I/O) Stack of a Distributed Storage SystemNovember 2022November 2024Abandon2420YesNo
17974230SYSTEM AND METHOD FOR DATA COMPACTION UTILIZING MISMATCH PROBABILITY ESTIMATIONOctober 2022February 2023Allow400NoNo
18048556ENSEMBLE MACHINE LEARNING FRAMEWORK FOR PREDICTIVE OPERATIONAL LOAD BALANCINGOctober 2022June 2023Allow810NoNo
17961972STORAGE DEVICE AND A VEHICLE INCLUDING THE STORAGE DEVICEOctober 2022March 2025Allow2940YesNo
17951450MULTI-PATH LAYER CONFIGURED WITH ENHANCED AWARENESS OF LINK PERFORMANCE ISSUE RESOLUTIONSeptember 2022August 2024Allow2320NoNo
17947075Exception Handling Using Security Subsystem in Storage DeviceSeptember 2022September 2024Allow2420YesNo
17944270WEAR-BALANCING ACROSS STORAGE DEVICES BASED ON ENDURANCE MEASUREMENTSeptember 2022November 2024Allow2650YesNo
17900276Compaction of a Logical-to-Physical Table for Zoned Namespace Nonvolatile MemoryAugust 2022February 2025Allow2910NoNo
17898522SYSTEMS AND METHODS FOR EXTENDING USEFUL LIFE OF SOLID STATE DRIVESAugust 2022July 2024Abandon2330NoNo
17885265WRITE COALESCING VIA HMB TO OPTIMIZE WRITE PERFORMANCEAugust 2022March 2025Allow3140YesNo
17881294LOW-POWER BOOT-UP FOR MEMORY SYSTEMSAugust 2022March 2025Allow3120NoNo
17870992METADATA-BASED DATA COPYINGJuly 2022November 2024Allow2820YesNo
17864609MULTI-STAGE DATA COMPACTION IN NANDJuly 2022November 2024Allow2810YesNo
17863634EVIDENCE COLLECTION GUIDANCE METHOD AND APPARATUS FOR FILE SELECTION AND COMPUTER-READABLE STORAGE MEDIUMJuly 2022February 2025Allow3120NoNo
17849957Peer RAID Control Among Peer Data Storage DevicesJune 2022February 2024Allow2020YesNo
17849287MEMORY SYSTEM, MEMORY CONTROLLER AND OPERATING METHOD OF THE MEMORY SYSTEM FOR CONTROLLING GARBAGE COLLECTIONJune 2022September 2024Allow2720YesNo
17829850APPARATUSES AND METHODS FOR SIMULTANEOUS IN DATA PATH COMPUTE OPERATIONSJune 2022February 2023Allow910YesNo
17736020OFFLOADED DATA MIGRATION BETWEEN STORAGE DEVICESMay 2022September 2023Allow1730YesNo
17734052SYSTEM AND METHOD FOR RANDOM-ACCESS MANIPULATION OF COMPACTED DATA FILESApril 2022November 2022Allow610NoNo
17661464AUTOMATED DOWNSCALING OF DATA STORESApril 2022May 2024Allow2420YesNo
17730837FLEXIBLE RAID SCHEME ALLOWING FAST REBUILDApril 2022April 2024Allow2420YesNo
17727919SYSTEM AND METHOD FOR COMPUTER DATA TYPE IDENTIFICATIONApril 2022November 2022Allow610NoNo
17727913SYSTEM AND METHOD FOR DATA COMPACTION AND SECURITY USING MULTIPLE ENCODING ALGORITHMSApril 2022November 2022Allow710NoNo
17719733ELECTRONIC DEVICE AND OPERATION METHOD THEREOFApril 2022May 2024Allow2530YesNo
17717267STORAGE SYSTEM AND DATA MANAGEMENT METHODApril 2022November 2023Allow2030YesNo
17717762COPY COMMAND FOR A MEMORY SYSTEMApril 2022December 2024Allow3330YesNo
17706077STORAGE METHOD, STORAGE DEVICE AND STORAGE SYSTEMMarch 2022December 2024Allow3330YesNo
17694912COMPUTER SYSTEM, COMPUTE NODE, AND DATA MANAGEMENT METHODMarch 2022February 2023Allow1100NoNo
17691642ENHANCED k-SAT SOLVER USING ANALOG CONTENT ADDRESSABLE MEMORYMarch 2022October 2023Allow1900NoNo
17688385MEMORY SYSTEM WITH MEMORY AND CONTROLLERMarch 2022April 2024Allow2520NoNo
17651535MEMORY SYSTEM AND OPERATING METHOD OF MEMORY SYSTEMFebruary 2022May 2024Allow2730YesNo
17592842MEMORY SYSTEM AND OPERATING METHOD OF MEMORY SYSTEMFebruary 2022May 2023Allow1610YesNo
17587588HOST DEVICE PHYSICAL ADDRESS ENCODINGJanuary 2022May 2023Allow1510NoNo
17630453VALIDITY MAPPING TECHNIQUESJanuary 2022June 2024Allow2820NoNo
17585410Storage Biasing for Solid State Drive AcceleratorsJanuary 2022January 2024Allow2410YesNo
17630113MEMORY MANAGEMENT PROCEDURES FOR WRITE BOOST MODEJanuary 2022November 2024Allow3430YesNo
17584077DATA RELOCATION SCHEME SELECTION FOR A MEMORY SYSTEMJanuary 2022March 2024Allow2620YesNo
17579671TIME-SERIES DATA DEDUPLICATION (DEDUP) CACHINGJanuary 2022September 2023Allow2010NoNo
17578476SYSTEM AND METHODS FOR SECURE STORAGE FOR DATA DEDUPLICATIONJanuary 2022April 2023Allow1510NoNo
17579264BLOCK DEVICE INTERFACE USING NON-VOLATILE PINNED MEMORYJanuary 2022July 2024Allow3030NoNo
17576033MEDIA MANAGEMENTJanuary 2022October 2023Allow2110YesNo
17571252AUTOMATIC MOVEMENT OF DEDUPED DATA TO ARCHIVAL TIERS OF CLOUD STORAGE BASED ON ACCESS PATTERNSJanuary 2022May 2024Allow2920YesNo
17569500SYSTEM AND METHODS FOR BANDWIDTH-EFFICIENT ENCODING OF GENOMIC DATAJanuary 2022April 2023Allow1510NoNo
17559011MEMORY STORAGE DEVICE, METHOD FOR OPERATING THE STORAGE DEVICE AND METHOD FOR OPERATING A HOST DEVICEDecember 2021September 2023Allow2120YesNo
17540858SYSTEMS AND METHODS FOR CENTRALLY MANAGED HOST AND NETWORK FIREWALL SERVICESDecember 2021August 2023Allow2120NoNo
17540158SYSTEM AND METHODS FOR BANDWIDTH-EFFICIENT CRYPTOGRAPHIC DATA TRANSFERDecember 2021October 2022Allow1110NoNo
17534125LOCAL INTERNAL DISCOVERY AND CONFIGURATION OF INDIVIDUALLY SELECTED AND JOINTLY SELECTED DEVICESNovember 2021January 2023Allow1410NoNo
17519868MEMORY SYSTEM AND OPERATING METHOD THEREOFNovember 2021June 2023Allow1910NoNo
17518831Multi-Device Synchronization Systems and MethodsNovember 2021April 2024Allow2930YesNo
17516280MEMORY SYSTEM WHICH STORES A PLURALITY OF WRITE DATA GROUPED INTO A TRANSACTIONNovember 2021July 2023Allow2030NoNo
17515021LOSSLESS NAMESPACE METADATA MANAGEMENT SYSTEMOctober 2021September 2023Allow2310NoNo
17511107METHOD AND SYSTEM FOR IMPROVING PERFORMANCE DURING DEDUPLICATIONOctober 2021March 2024Allow2820NoNo
17501872SYSTEM AND METHOD FOR COMPUTER DATA TYPE IDENTIFICATIONOctober 2021March 2022Allow500NoNo

Appeals Overview

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

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
23
Examiner Affirmed
16
(69.6%)
Examiner Reversed
7
(30.4%)
Reversal Percentile
46.4%
Lower than average

What This Means

With a 30.4% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage 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
37
Allowed After Appeal Filing
12
(32.4%)
Not Allowed After Appeal Filing
25
(67.6%)
Filing Benefit Percentile
47.2%
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, 32.4% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.

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 ALSIP, MICHAEL - Prosecution Strategy Guide

Executive Summary

Examiner ALSIP, MICHAEL works in Art Unit 2136 and has examined 494 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 25 months.

Allowance Patterns

Examiner ALSIP, MICHAEL's allowance rate of 83.0% places them in the 50% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.

Office Action Patterns

On average, applications examined by ALSIP, MICHAEL receive 2.44 office actions before reaching final disposition. This places the examiner in the 83% 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 ALSIP, MICHAEL is 25 months. This places the examiner in the 65% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +2.2% benefit to allowance rate for applications examined by ALSIP, MICHAEL. This interview benefit is in the 19% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 24.9% of applications are subsequently allowed. This success rate is in the 28% 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 15.8% of cases where such amendments are filed. This entry rate is in the 11% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 17.4% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 24% 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 52.1% of appeals filed. This is in the 18% percentile among all examiners. Of these withdrawals, 16.0% 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.

Petition Practice

When applicants file petitions regarding this examiner's actions, 25.6% are granted (fully or in part). This grant rate is in the 17% 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 9% 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 9% 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.
  • Plan for RCE after final rejection: This examiner rarely enters after-final amendments. Budget for an RCE in your prosecution strategy if you receive a final rejection.

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.