Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
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 | 5 (100%) |
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 |
|---|---|---|---|
| SAMARA, HUSAM TURKI | 1 | 55.6% | +16.5% |
| ALI, AFAQ | 1 | 90.2% | +12.0% |
| DUNNE, KENNETH MICHAEL | 1 | 76.6% | +10.8% |
| EL-BATHY, IBRAHIM N | 1 | 52.4% | +48.0% |
| GERMICK, JOHNATHAN R | 1 | 45.8% | +27.9% |
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.
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17997590 | GRAPH CONVOLUTIONAL REINFORCEMENT LEARNING WITH HETEROGENEOUS AGENT GROUPS | GERMICK, JOHNATHAN R | 163d overdue |
| 18557967 | HIGH-LEVEL SENSOR FUSION AND MULTI-CRITERIA DECISION MAKING FOR AUTONOMOUS BIN PICKING | EL-BATHY, IBRAHIM N | 70d overdue |
| 18867030 | SOFTWARE TOOL AND METHOD FOR ANALYSIS OF CYBERSECURITY VULNERABILITIES | ALI, AFAQ | 23d overdue |
| 18836967 | SYSTEM AND METHOD FOR CONTROLLING AUTONOMOUS MACHINERY BY PROCESSING RICH CONTEXT SENSOR INPUTS | DUNNE, KENNETH MICHAEL | 9d |
| 19105061 | QUERYABLE ASSET MODEL ASSOCIATED WITH OPC UA AND GRAPH | SAMARA, HUSAM TURKI | 39d |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2434 | 1 |
| 3669 | 1 |
| 3628 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19105061 | QUERYABLE ASSET MODEL ASSOCIATED WITH OPC UA AND GRAPH | SAMARA, HUSAM TURKI | 2161 | §103 | Non-Final OA | 39d | Pending | Feb 20, 2025 |
| 18867030 | SOFTWARE TOOL AND METHOD FOR ANALYSIS OF CYBERSECURITY VULNERABILITIES | ALI, AFAQ | 2434 | §103 | Non-Final OA | 23d overdue | Pending | Nov 19, 2024 |
| 18836967 | SYSTEM AND METHOD FOR CONTROLLING AUTONOMOUS MACHINERY BY PROCESSING RICH CONTEXT SENSOR INPUTS | DUNNE, KENNETH MICHAEL | 3669 | §103 | Non-Final OA | 9d | Pending | Aug 08, 2024 |
| 18557967 | HIGH-LEVEL SENSOR FUSION AND MULTI-CRITERIA DECISION MAKING FOR AUTONOMOUS BIN PICKING | EL-BATHY, IBRAHIM N | 3628 | §103 | Non-Final OA | 70d overdue | Pending | Oct 30, 2023 |
| 17997590 | GRAPH CONVOLUTIONAL REINFORCEMENT LEARNING WITH HETEROGENEOUS AGENT GROUPS | GERMICK, JOHNATHAN R | 2122 | §103 | Non-Final OA | 163d overdue | Pending | Oct 31, 2022 |
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