Technology areas: Computing & Software • Semiconductors, Circuits & Optics • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 32 patents granted in the last 365 days
The patent portfolio for Hong Kong Applied Science and Technology Research Institute Company Limited shows 4 pending office actions. These actions are situated within the Computing & Software technology area. The prosecution is notably decentralized, as there are 4 distinct examiners assigned to the 4 pending office actions. This variety suggests that the company is engaging with a broad range of examiner perspectives across its current applications.
Further evidence of this diversification is found in the 4 distinct art units involved in the process. With 4 distinct examiners spread across 4 distinct art units, the applicant faces a wide array of procedural environments. The busiest examiner, ZERON CERRATO, JOSEPH NATANAEL, is currently handling 1 busiest examiner pending action. This indicates that no single examiner is overwhelmed by the portfolio, as the 4 pending office actions are distributed across the 4 distinct examiners.
For the practitioner, this Computing & Software portfolio requires managing multiple examiner perspectives. Because the 4 distinct art units may have different internal norms, the 4 distinct examiners will likely produce varied rejections. The presence of ZERON CERRATO, JOSEPH NATANAEL with only 1 busiest examiner pending action confirms that the workload is not concentrated. This distribution allows for a broader assessment of how the office views the company's Computing & Software innovations.
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 |
|---|---|
| §103 only | 3 (75%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| ZERON CERRATO, JOSEPH NATANAEL | 1 | — | — |
| AGRAWAL, SHISHIR | 1 | 8.3% | +15.4% |
| PELTON, NATHANIEL R | 1 | 74.5% | +19.0% |
| RICHTER, KARA MARIE | 1 | 54.5% | +32.9% |
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 |
|---|---|---|---|
| 18179398 | METHOD FOR OPTIMIZING WORKFLOW-BASED NEURAL NETWORK INCLUDING ATTENTION LAYER | AGRAWAL, SHISHIR | 72d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18179398 | METHOD FOR OPTIMIZING WORKFLOW-BASED NEURAL NETWORK INCLUDING ATTENTION LAYER | AGRAWAL, SHISHIR | 72d |
| 18089878 | SYSTEM AND METHOD FOR ON-SITE DETERMINATION OF CHARGING CURRENT FOR A BATTERY | PELTON, NATHANIEL R | — |
| 17898956 | Systems and Methods for Time of Flight Measurement Implementing Threshold-Based Sampling for Waveform Digitizing | RICHTER, KARA MARIE | — |
| Art Unit | Apps |
|---|---|
| 4100 | 1 |
| 2123 | 1 |
| 2859 | 1 |
| 3645 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18518621 | LIDAR APPARATUS | ZERON CERRATO, JOSEPH NATANAEL | 4100 | §103 | Non-Final OA | — | Pending | Nov 24, 2023 |
| 18179398 | METHOD FOR OPTIMIZING WORKFLOW-BASED NEURAL NETWORK INCLUDING ATTENTION LAYER | AGRAWAL, SHISHIR | 2123 | §103§112 | Final Rejection | 72d | Pending | Mar 07, 2023 |
| 18089878 | SYSTEM AND METHOD FOR ON-SITE DETERMINATION OF CHARGING CURRENT FOR A BATTERY | PELTON, NATHANIEL R | 2859 | §103 | Final Rejection | — | Pending | Dec 28, 2022 |
| 17898956 | Systems and Methods for Time of Flight Measurement Implementing Threshold-Based Sampling for Waveform Digitizing | RICHTER, KARA MARIE | 3645 | §103 | Final Rejection | — | Pending | Aug 30, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial