Technology area: Computing & Software
6 pending office actions • 5 art units • 5 examiners • 0 of 6 (0%) have an AI response strategy ready • 47 patents granted in the last 365 days
EMC IP Holding Company LLC has 6 pending office actions in Computing & Software. The portfolio spans 5 distinct examiners and 5 distinct art units, showing that prosecution is distributed across multiple examination assignments rather than centered in one unit.
KAPOOR, DEVAN is the busiest examiner, with 2 pending actions. The remaining pending work is assigned elsewhere, so counsel should combine portfolio-level tracking with examiner-specific response preparation. The spread across art units also supports reviewing claim strategy in the context of each assignment, while the Kapoor matters may offer the clearest opportunity for coordinated docket management.
Based on the USPTO statutory response window for each pending office action. 4 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 4 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 1 (17%) |
| §101 + other | 3 (50%) |
| §103 only | 1 (17%) |
| Multi-statute (no §101) | 1 (17%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| KAPOOR, DEVAN | 2 | 6.7% | +10.0% |
| HOANG, AMY P | 1 | 72.0% | +65.3% |
| PHAM, JESSICA THUY | 1 | 18.2% | +90.0% |
| SMITH, KEVIN LEE | 1 | 36.8% | +18.5% |
| PHUNG, STEVEN HUYNH | 1 | 74.5% | +29.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17507649 | Identifying Test Dependencies Using Binary Neural Networks | KAPOOR, DEVAN | 53d overdue |
| 17404011 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SAMPLE MANAGEMENT | PHUNG, STEVEN HUYNH | 15d |
| 18230029 | EDGE DATA GATHERING USING REINFORCEMENT LEARNING AND DISTRIBUTION CLIQUES | HOANG, AMY P | 20d |
| 17487489 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING DISK | SMITH, KEVIN LEE | 34d |
| 17451793 | ADVERSARIAL IMAGE GENERATOR TO IMPROVE DNN IMAGE SEGMENTATION MODEL ROBUSTNESS FOR AUTONOMOUS VEHICLE | PHAM, JESSICA THUY | — |
| 17382584 | K-QUANT GRADIENT COMPRESSOR FOR FEDERATED LEARNING | KAPOOR, DEVAN | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17507649 | Identifying Test Dependencies Using Binary Neural Networks | KAPOOR, DEVAN | 53d overdue |
| 17404011 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SAMPLE MANAGEMENT | PHUNG, STEVEN HUYNH | 15d |
| 18230029 | EDGE DATA GATHERING USING REINFORCEMENT LEARNING AND DISTRIBUTION CLIQUES | HOANG, AMY P | 20d |
| 17487489 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING DISK | SMITH, KEVIN LEE | 34d |
| 17451793 | ADVERSARIAL IMAGE GENERATOR TO IMPROVE DNN IMAGE SEGMENTATION MODEL ROBUSTNESS FOR AUTONOMOUS VEHICLE | PHAM, JESSICA THUY | — |
| 17382584 | K-QUANT GRADIENT COMPRESSOR FOR FEDERATED LEARNING | KAPOOR, DEVAN | — |
| Art Unit | Apps |
|---|---|
| 2126 | 2 |
| 2143 | 1 |
| 2121 | 1 |
| 2122 | 1 |
| 2125 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18230029 | EDGE DATA GATHERING USING REINFORCEMENT LEARNING AND DISTRIBUTION CLIQUES | HOANG, AMY P | 2143 | §101§103 | Final Rejection | 20d | Pending | Aug 03, 2023 |
| 17507649 | Identifying Test Dependencies Using Binary Neural Networks | KAPOOR, DEVAN | 2126 | §101§103 | Non-Final OA | 53d overdue | Pending | Oct 21, 2021 |
| 17451793 | ADVERSARIAL IMAGE GENERATOR TO IMPROVE DNN IMAGE SEGMENTATION MODEL ROBUSTNESS FOR AUTONOMOUS VEHICLE | PHAM, JESSICA THUY | 2121 | §103§112 | Final Rejection | — | Pending | Oct 21, 2021 |
| 17487489 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING DISK | SMITH, KEVIN LEE | 2122 | §101§103 | Non-Final OA | 34d | Pending | Sep 28, 2021 |
| 17404011 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SAMPLE MANAGEMENT | PHUNG, STEVEN HUYNH | 2125 | §101 | Final Rejection | 15d | Pending | Aug 17, 2021 |
| 17382584 | K-QUANT GRADIENT COMPRESSOR FOR FEDERATED LEARNING | KAPOOR, DEVAN | 2126 | §103 | Final Rejection | — | Pending | Jul 22, 2021 |
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Start Free TrialEMC IP Holding Company LLC has 6 pending office actions as of October 2026, spread across 5 art units and 5 examiners.
Devan Kapoor has the most, with 2 of EMC IP Holding Company LLC's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
