Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Chemistry & Materials • Computing & Software • Semiconductors, Circuits & Optics
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Industrial Cooperation Foundation Jeonbuk National University is currently dealing with 5 pending office actions in the Semiconductors, Circuits & Optics technology area. These actions involve 5 distinct examiners and 4 distinct art units. This distribution indicates that each pending matter is being reviewed by a different examiner. The 4 distinct art units show that the foundation's semiconductor research is being evaluated across several specialized groups.
The busiest examiner for the portfolio is TRA, ANH QUAN, who is responsible for 1 pending office action. Because there are 5 examiners for 5 actions, the workload is evenly distributed among the various individuals. Practitioners must manage these matters by addressing the specific requirements of the different examiners. The concentration within 4 art units suggests a focused technical scope, yet the variety of reviewers requires an adaptable prosecution strategy for each of the 5 pending office actions.
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 |
|---|---|
| §101 only | 1 (20%) |
| Multi-statute (no §101) | 4 (80%) |
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 |
|---|---|---|---|
| TRA, ANH QUAN | 1 | 72.9% | +5.3% |
| LAMPRECHT, JOEL | 1 | 81.4% | +16.8% |
| O'CONNOR-EMANUEL, LAWRENCE SCOTT | 1 | — | — |
| DAVIS, BRIAN J | 1 | 84.8% | -4.0% |
| CARLSON, KOURTNEY SALZMAN | 1 | 44.6% | +40.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18153896 | BI-1 ANTAGONISTS AND THEIR USES | DAVIS, BRIAN J | 31d overdue |
| 18001228 | PHOTOVOLTAIC-ELECTROCHROMIC-BATTERY ALL-IN-ONE DEVICE | CARLSON, KOURTNEY SALZMAN | 28d |
| 18874276 | IMPEDANCE ADJUSTMENT CIRCUIT | TRA, ANH QUAN | — |
| 18883168 | VIRTUAL REALITY-BASED PAIN DIAGNOSIS SYSTEM FOR NEUROPATHIC PAIN | LAMPRECHT, JOEL | — |
| 18609088 | TIMELY SOFTWARE DEFECT PREDICTION METHOD AND SYSTEM BASED ON DEEP LEARNING | O'CONNOR-EMANUEL, LAWRENCE SCOTT | — |
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 |
|---|---|---|---|
| 18001228 | PHOTOVOLTAIC-ELECTROCHROMIC-BATTERY ALL-IN-ONE DEVICE | CARLSON, KOURTNEY SALZMAN | 28d |
| 18883168 | VIRTUAL REALITY-BASED PAIN DIAGNOSIS SYSTEM FOR NEUROPATHIC PAIN | LAMPRECHT, JOEL | — |
| Art Unit | Apps |
|---|---|
| 2843 | 1 |
| 2193 | 1 |
| 1614 | 1 |
| 1721 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18874276 | IMPEDANCE ADJUSTMENT CIRCUIT | TRA, ANH QUAN | 2843 | §102§103 | Non-Final OA | — | Pending | Dec 12, 2024 |
| 18883168 | VIRTUAL REALITY-BASED PAIN DIAGNOSIS SYSTEM FOR NEUROPATHIC PAIN | LAMPRECHT, JOEL | — | §103§112 | Non-Final OA | — | Pending | Sep 12, 2024 |
| 18609088 | TIMELY SOFTWARE DEFECT PREDICTION METHOD AND SYSTEM BASED ON DEEP LEARNING | O'CONNOR-EMANUEL, LAWRENCE SCOTT | 2193 | §101 | Final Rejection | — | Pending | Mar 19, 2024 |
| 18153896 | BI-1 ANTAGONISTS AND THEIR USES | DAVIS, BRIAN J | 1614 | §103§112 | Final Rejection | 31d overdue | Pending | Jan 12, 2023 |
| 18001228 | PHOTOVOLTAIC-ELECTROCHROMIC-BATTERY ALL-IN-ONE DEVICE | CARLSON, KOURTNEY SALZMAN | 1721 | §103§112 | Final Rejection | 28d | Pending | Dec 08, 2022 |
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