Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Nanjing Normal University currently manages 1 pending office action within the Computing & Software technology area. This prosecution activity is concentrated under 1 distinct examiner and 1 distinct art unit, indicating a highly focused effort for the current pending matter. Practitioners should note that the involvement of 1 distinct art unit simplifies the administrative tracking of the application. This concentration allows for a more direct communication strategy with the patent office personnel involved in the review.
The busiest examiner for this portfolio is SIDDIQUEE, MEHNAZ JAREEN, who is responsible for 1 busiest examiner pending office action. Because the total pending office actions and the busiest examiner pending count are both 1, this examiner handles the university's entire active workload in this sector. This alignment indicates that the outcome of the portfolio is currently dependent on this individual's specific review. The data reflects a prosecution profile where the 1 busiest examiner pending office action represents the full scope of the university's active legal requirements. Any progress made with this specific examiner will directly impact the status of the university's active filings.
Based on the USPTO statutory response window for each pending office action. 1 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 + other | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| HAFIZ, HAMID TARIQ | 1 | 0.0% | +0.0% |
| SIDDIQUEE, MEHNAZ JAREEN | 1 | — | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18055060 | GEO-ANALYSIS MODELS COMPONENTIZED PRESENTER | HAFIZ, HAMID TARIQ | 34d |
| 18055083 | DEVICES, SYSTEMS, AND METHODS FOR PREDICTING THE GROWTH OF URBAN LANDSCAPE TREES | SIDDIQUEE, MEHNAZ JAREEN | — |
| Art Unit | Apps |
|---|---|
| 3715 | 1 |
| 2186 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18055060 | GEO-ANALYSIS MODELS COMPONENTIZED PRESENTER | HAFIZ, HAMID TARIQ | 3715 | §102§103 | Final Rejection | 34d | Pending | Nov 14, 2022 |
| 18055083 | DEVICES, SYSTEMS, AND METHODS FOR PREDICTING THE GROWTH OF URBAN LANDSCAPE TREES | SIDDIQUEE, MEHNAZ JAREEN | 2186 | §101§103§112 | Non-Final OA | — | Pending | Nov 14, 2022 |
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