Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Orta Dogu Teknik Universitesi manages 2 pending office actions in the Communications technology area. These actions are split between 2 distinct examiners and the reported art units. Miya J Cato is the busiest examiner, responsible for 1 pending action.
This distribution shows that the portfolio's current prosecution is diversified across different administrative units and examiners. Practitioners must manage separate tracks of communication across the distinct art units involved, as no single examiner handles more than 1 matter.
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%) |
| §103 only | 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 |
|---|---|---|---|
| CATO, MIYA J | 1 | 76.7% | +12.7% |
| OCHOA, JUAN CARLOS | 1 | 67.3% | +22.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17767949 | MODAL SUPERPOSITION METHOD USING RESPONSE DEPENDENT NON-LINEAR MODES FOR THE PERIODIC VIBRATION ANALYSIS OF LARGE NON-LINEAR STRUCTURES | OCHOA, JUAN CARLOS | 22d |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17767949 | MODAL SUPERPOSITION METHOD USING RESPONSE DEPENDENT NON-LINEAR MODES FOR THE PERIODIC VIBRATION ANALYSIS OF LARGE NON-LINEAR STRUCTURES | OCHOA, JUAN CARLOS | 22d |
| 18725867 | HIGH-PERFORMANCE OBJECT DETECTION SYSTEM USING HDR IMAGES OBTAINED FROM LDR CAMERAS IN AUTONOMOUS VEHICLES | CATO, MIYA J | — |
| Art Unit | Apps |
|---|---|
| 2681 | 1 |
| 2186 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18725867 | HIGH-PERFORMANCE OBJECT DETECTION SYSTEM USING HDR IMAGES OBTAINED FROM LDR CAMERAS IN AUTONOMOUS VEHICLES | CATO, MIYA J | 2681 | §103 | Final Rejection | — | Pending | Jul 01, 2024 |
| 17767949 | MODAL SUPERPOSITION METHOD USING RESPONSE DEPENDENT NON-LINEAR MODES FOR THE PERIODIC VIBRATION ANALYSIS OF LARGE NON-LINEAR STRUCTURES | OCHOA, JUAN CARLOS | 2186 | §101§112 | Final Rejection | 22d | Pending | Apr 11, 2022 |
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