Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security
5 pending office actions • 2 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 15 patents granted in the last 365 days
(Beijing University Of Posts And Telecommunications) manages 1 pending office action in the Networking & Security technology area. This action is assigned to 1 distinct examiner, WIDHALM DE RODRIG, ANGELA MARIE, within 1 distinct art unit. The focus on a single art unit indicates a specific technological scope for the current pending matter.
WIDHALM DE RODRIG, ANGELA MARIE is identified as the busiest examiner for the company, managing 1 busiest examiner pending action. Because there is only 1 pending office action in total, this examiner is responsible for the entire active portfolio. Practitioners should note the direct relationship between the company and this specific examiner within the identified technology area.
The presence of 1 pending office action in the Networking & Security sector suggests a highly targeted prosecution effort. With only 1 distinct examiner and 1 distinct art unit involved, the company can focus its resources on this single interaction to advance its patent goals.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (20%) |
| §101 + other | 1 (20%) |
| §103 only | 1 (20%) |
| §112 only | 1 (20%) |
| Multi-statute (no §101) | 1 (20%) |
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 |
|---|---|---|---|
| LOUIS-FILS, NICOLE M | 1 | 72.5% | +34.8% |
| SCHLACK, SCOTT A | 1 | 50.0% | +29.5% |
| CHOWDHURY, MAHBUBUL BAR | 1 | 83.5% | +15.1% |
| LU, HWEI-MIN | 1 | 63.3% | +40.2% |
| RAHMAN, IBRAHIM | 1 | 11.1% | +5.2% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18541472 | DATA TRANSMISSION METHOD AND SYSTEM FOR INTERNET OF THINGS DEVICES | CHOWDHURY, MAHBUBUL BAR | 26d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18325041 | MULTI-TASK LEARNING METHOD AND RELATED DEVICE | RAHMAN, IBRAHIM | 33d |
| 18726071 | HYBRID AUTOMATIC REPEAT REQUEST FEEDBACK METHOD AND APPARATUS | SCHLACK, SCOTT A | — |
| 18566626 | MODEL TRAINING METHOD AND DEVICE | LU, HWEI-MIN | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18541472 | DATA TRANSMISSION METHOD AND SYSTEM FOR INTERNET OF THINGS DEVICES | CHOWDHURY, MAHBUBUL BAR | 26d |
| 18824150 | TRAFFIC PREDICTION METHOD FOR METROPOLITAN OPTICAL NETWORK AND RELATED DEVICE | LOUIS-FILS, NICOLE M | — |
| 18726071 | HYBRID AUTOMATIC REPEAT REQUEST FEEDBACK METHOD AND APPARATUS | SCHLACK, SCOTT A | — |
| 18566626 | MODEL TRAINING METHOD AND DEVICE | LU, HWEI-MIN | — |
| Art Unit | Apps |
|---|---|
| 2475 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18824150 | TRAFFIC PREDICTION METHOD FOR METROPOLITAN OPTICAL NETWORK AND RELATED DEVICE | LOUIS-FILS, NICOLE M | — | §103 | Non-Final OA | — | Pending | Sep 04, 2024 |
| 18726071 | HYBRID AUTOMATIC REPEAT REQUEST FEEDBACK METHOD AND APPARATUS | SCHLACK, SCOTT A | — | §102§103 | Non-Final OA | — | Pending | Jul 01, 2024 |
| 18541472 | DATA TRANSMISSION METHOD AND SYSTEM FOR INTERNET OF THINGS DEVICES | CHOWDHURY, MAHBUBUL BAR | 2475 | §112 | Final Rejection | 26d | Pending | Dec 15, 2023 |
| 18566626 | MODEL TRAINING METHOD AND DEVICE | LU, HWEI-MIN | — | §101§103§112 | Non-Final OA | — | Pending | Dec 01, 2023 |
| 18325041 | MULTI-TASK LEARNING METHOD AND RELATED DEVICE | RAHMAN, IBRAHIM | 2122 | §101 | Final Rejection | 33d | Pending | May 29, 2023 |
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