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 has 2 pending office actions in Computing & Software. These matters are assigned to 2 distinct examiners and 2 distinct art units, indicating that the portfolio has separate examination paths within its software-related prosecution. A coordinated docket should preserve the distinction between those assignments rather than treating the pending activity as a single examination record.
SIDDIQUEE, MEHNAZ JAREEN is the busiest examiner, with 1 pending matter. The examiner figure is below the portfolio total, so the identified activity is not concentrated with a single examiner. Counsel should compare the separate actions for recurring claim issues while tailoring each response to its assigned art unit and examiner.
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 |
|---|---|---|---|
| SIDDIQUEE, MEHNAZ JAREEN | 1 | — | — |
| HAFIZ, HAMID TARIQ | 1 | 0.0% | +0.0% |
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 |
|---|---|
| 2186 | 1 |
| 3715 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 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 |
| 18055060 | GEO-ANALYSIS MODELS COMPONENTIZED PRESENTER | HAFIZ, HAMID TARIQ | 3715 | §102§103 | Final Rejection | 34d | Pending | Nov 14, 2022 |
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Start Free TrialNanjing Normal University has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Mehnaz Jareen Siddiquee has the most, with 1 of Nanjing Normal University's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
