Technology areas: Biotechnology & Pharmaceuticals • Computing & Software • Networking & Security
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Istanbul Medipol Universitesi Teknoloji Transfer Ofisi Anonim Sirketi manages a company patent portfolio in the Networking & Security technology area. There are 3 pending office actions currently in progress. These 3 pending office actions are distributed across 3 distinct examiners, ensuring that each pending matter is being reviewed by a different individual. This arrangement requires the company to manage 3 separate prosecution timelines and adapt to the different examination styles of 3 distinct examiners.
The portfolio's prosecution is spread across 3 distinct art units. O CONNOR, BRIAN T is the busiest examiner, with 1 busiest examiner pending office action. The 3 pending office actions are handled by 3 distinct examiners in 3 distinct art units, showing a high degree of diversification in the company's current patent office engagements. This distribution across 3 distinct art units suggests that the company's Networking & Security innovations cover a broad range of technical sub-fields. With 3 distinct examiners involved, the company must address the specific examination trends prevalent in each of the 3 distinct art units. This variety in 3 distinct art units and 3 distinct examiners provides a broad base of feedback for the company's intellectual property strategy across the Networking & Security sector.
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 |
|---|---|
| §103 only | 1 (33%) |
| §112 only | 1 (33%) |
| Multi-statute (no §101) | 1 (33%) |
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 |
|---|---|---|---|
| O CONNOR, BRIAN T | 1 | 85.6% | +8.1% |
| GEMBEH, SHIRLEY V | 1 | 63.2% | +34.0% |
| ALSHAHARI, SADIK AHMED | 1 | 37.0% | +39.0% |
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 |
|---|---|---|---|
| 18718370 | EAVESDROPPING PREVENTION USING CHANNEL-BASED PHASE PRE-EQUALIZATION | O CONNOR, BRIAN T | — |
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 |
|---|---|---|---|
| 18259406 | A METHOD FOR THE MODEL-INDEPENDENT SOLUTION OF INVERSE PROBLEMS WITH DEEP LEARNING IN IMAGE/VIDEO PROCESSING | ALSHAHARI, SADIK AHMED | 6d |
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 |
|---|---|---|---|
| 18259406 | A METHOD FOR THE MODEL-INDEPENDENT SOLUTION OF INVERSE PROBLEMS WITH DEEP LEARNING IN IMAGE/VIDEO PROCESSING | ALSHAHARI, SADIK AHMED | 6d |
| 18260089 | NANOCONE CLUSTERS SUITABLE FOR USE AS HISTOTRIPSY AGENT | GEMBEH, SHIRLEY V | 21d |
| Art Unit | Apps |
|---|---|
| 2465 | 1 |
| 1615 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18718370 | EAVESDROPPING PREVENTION USING CHANNEL-BASED PHASE PRE-EQUALIZATION | O CONNOR, BRIAN T | 2465 | §112 | Non-Final OA | — | Pending | Jun 10, 2024 |
| 18260089 | NANOCONE CLUSTERS SUITABLE FOR USE AS HISTOTRIPSY AGENT | GEMBEH, SHIRLEY V | 1615 | §103 | Final Rejection | 21d | Pending | Jun 30, 2023 |
| 18259406 | A METHOD FOR THE MODEL-INDEPENDENT SOLUTION OF INVERSE PROBLEMS WITH DEEP LEARNING IN IMAGE/VIDEO PROCESSING | ALSHAHARI, SADIK AHMED | 2121 | §103§112 | Non-Final OA | 6d | Pending | Jun 27, 2023 |
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