Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Computing & Software
6 pending office actions • 2 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Zhejiang Normal University is actively prosecuting 6 pending office actions within the Computing & Software technology area. These actions are distributed across 6 distinct examiners, which indicates that every pending matter is being reviewed by a different individual, requiring a versatile approach to examiner interviews and responses. Despite the variety of examiners, the workload is contained within 2 distinct art units, suggesting that the university's research is concentrated in specific technical niches within the broader software field.
ALEXANDER STEPHAN NOGUEROLA is the busiest examiner for the university, though he is responsible for only 1 pending office action. This structure suggests that while the technical focus is narrow across 2 distinct art units, the university must manage a high volume of individual examiner relationships. With 6 pending office actions and multiple examiners, the university cannot rely on a single relationship to advance its portfolio, but must instead provide consistent technical evidence across all active matters to achieve its goals in Computing & Software.
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 only | 1 (17%) |
| §101 + other | 1 (17%) |
| §112 only | 3 (50%) |
| Multi-statute (no §101) | 1 (17%) |
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 |
|---|---|---|---|
| NOGUEROLA, ALEXANDER STEPHAN | 1 | 82.7% | +3.0% |
| TRAN, BINH X | 1 | 81.7% | +12.0% |
| KIRKLAND III, FREDDIE | 1 | 84.4% | +10.4% |
| STANLEY, JEREMY L | 1 | 49.3% | +40.0% |
| ANYIKIRE, CHIKAODILI E | 1 | 74.9% | +11.1% |
| LU, FRANK WEI MIN | 1 | 62.7% | +67.7% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19001050 | METHOD FOR DESIGNING AND FABRICATING DIELECTROPHORETIC MICROELECTRODE ACTUATOR WITH IMPEDANCE SENSOR CHIP | NOGUEROLA, ALEXANDER STEPHAN | — |
| 18818121 | DRIVING DEVICE FOR DETECTING MECHANICAL CHARACTERISTICS AND ELECTRICAL CHARACTERISTICS OF CELLS | KIRKLAND III, FREDDIE | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18990730 | LATERAL AND VERTICAL DIELECTROPHORESIS METHOD FOR MICRO/NANO-SCALE BIOLOGICAL AND METABOLIC SENSORS AND ACTUATORS USING TWO HIGH-INTENSITY ELECTRIC FIELDS | TRAN, BINH X | — |
| 18276047 | CONSENSUS GRAPH LEARNING-BASED MULTI-VIEW CLUSTERING METHOD | STANLEY, JEREMY L | — |
| 18275417 | UNSUPERVISED FEATURE SELECTION METHOD BASED ON LATENT SPACE LEARNING AND MANIFOLD CONSTRAINTS | ANYIKIRE, CHIKAODILI E | — |
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 |
|---|---|---|---|
| 18342759 | MOLECULAR MARKERS LINKED TO MAIN QTL FOR REGULATING RESISTANCE OF RICE TO WHITEBACKED PLANTHOPPER AND APPLICATION THEREOF | LU, FRANK WEI MIN | 62d |
| 18990730 | LATERAL AND VERTICAL DIELECTROPHORESIS METHOD FOR MICRO/NANO-SCALE BIOLOGICAL AND METABOLIC SENSORS AND ACTUATORS USING TWO HIGH-INTENSITY ELECTRIC FIELDS | TRAN, BINH X | — |
| 18818121 | DRIVING DEVICE FOR DETECTING MECHANICAL CHARACTERISTICS AND ELECTRICAL CHARACTERISTICS OF CELLS | KIRKLAND III, FREDDIE | — |
| 18276047 | CONSENSUS GRAPH LEARNING-BASED MULTI-VIEW CLUSTERING METHOD | STANLEY, JEREMY L | — |
| 18275417 | UNSUPERVISED FEATURE SELECTION METHOD BASED ON LATENT SPACE LEARNING AND MANIFOLD CONSTRAINTS | ANYIKIRE, CHIKAODILI E | — |
| Art Unit | Apps |
|---|---|
| 2127 | 1 |
| 1683 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19001050 | METHOD FOR DESIGNING AND FABRICATING DIELECTROPHORETIC MICROELECTRODE ACTUATOR WITH IMPEDANCE SENSOR CHIP | NOGUEROLA, ALEXANDER STEPHAN | — | §112 | Non-Final OA | — | Pending | Dec 24, 2024 |
| 18990730 | LATERAL AND VERTICAL DIELECTROPHORESIS METHOD FOR MICRO/NANO-SCALE BIOLOGICAL AND METABOLIC SENSORS AND ACTUATORS USING TWO HIGH-INTENSITY ELECTRIC FIELDS | TRAN, BINH X | — | §102§112 | Non-Final OA | — | Pending | Dec 20, 2024 |
| 18818121 | DRIVING DEVICE FOR DETECTING MECHANICAL CHARACTERISTICS AND ELECTRICAL CHARACTERISTICS OF CELLS | KIRKLAND III, FREDDIE | — | §112 | Non-Final OA | — | Pending | Aug 28, 2024 |
| 18276047 | CONSENSUS GRAPH LEARNING-BASED MULTI-VIEW CLUSTERING METHOD | STANLEY, JEREMY L | 2127 | §101 | Non-Final OA | — | Pending | Aug 07, 2023 |
| 18275417 | UNSUPERVISED FEATURE SELECTION METHOD BASED ON LATENT SPACE LEARNING AND MANIFOLD CONSTRAINTS | ANYIKIRE, CHIKAODILI E | — | §101§102 | Non-Final OA | — | Pending | Aug 02, 2023 |
| 18342759 | MOLECULAR MARKERS LINKED TO MAIN QTL FOR REGULATING RESISTANCE OF RICE TO WHITEBACKED PLANTHOPPER AND APPLICATION THEREOF | LU, FRANK WEI MIN | 1683 | §112 | Non-Final OA | 62d | Pending | Jun 28, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial