Technology areas: Biotechnology & Pharmaceuticals • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days
Technische Universiteit Delft is managing 7 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. The prosecution landscape is fragmented, as these 7 actions are spread across 7 distinct examiners. This ratio of 7 actions to 7 examiners suggests that the university must manage seven unique examiner relationships simultaneously.
Furthermore, the university's applications are categorized into 7 distinct art units, indicating a broad technical footprint within the mechanical and transportation sectors. Kenneth W Good is the busiest examiner for the portfolio, though he is responsible for only 1 pending office action. This high level of dispersion across 7 examiners and 7 art units requires a versatile legal strategy to address the varied requirements of multiple USPTO technical divisions. With Kenneth W Good holding 1 pending office action, the university's 7 pending office actions are distributed evenly.
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 + other | 1 (14%) |
| §103 only | 2 (29%) |
| Double-patenting + other | 1 (14%) |
| Multi-statute (no §101) | 3 (43%) |
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 |
|---|---|---|---|
| WINDRICH, MARCUS E | 1 | 79.2% | +7.2% |
| GOOD, KENNETH W | 1 | 73.7% | +18.7% |
| RUSHIN, LESTER III | 1 | 87.9% | +8.0% |
| GONZALEZ, JULIO CESAR | 1 | 74.7% | +14.5% |
| DABKOWSKI, ERINNE R | 1 | 55.8% | +68.7% |
| NGUYEN, PETER | 1 | — | — |
| OSMAN, SOMMER YOUSEF | 1 | 44.7% | +47.4% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18865925 | Recycling of Scrap | RUSHIN, LESTER III | — |
| 18490167 | Compliant Structure | GONZALEZ, JULIO CESAR | — |
| 18259918 | PROTEIN AND PEPTIDE DATABASE-ENABLED RAPID MONITORING AND QUANTIFICATION OF MICROBES AND ASSOCIATED PRODUCTS | NGUYEN, PETER | — |
| 17743190 | Nanopore-Based System for Trapping, Controlled Displacement, and Sequencing of (bio)Macromolecules | OSMAN, SOMMER YOUSEF | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19082618 | RADAR DEVICE HAVING SCANNING-ARRAY ANTENNAS WITH DIELECTRIC LENSING | GOOD, KENNETH W | — |
| 18490167 | Compliant Structure | GONZALEZ, JULIO CESAR | — |
| 18281787 | C-Terminal Peptide Modification | DABKOWSKI, ERINNE R | — |
| 17743190 | Nanopore-Based System for Trapping, Controlled Displacement, and Sequencing of (bio)Macromolecules | OSMAN, SOMMER YOUSEF | — |
| Art Unit | Apps |
|---|---|
| 3646 | 1 |
| 3648 | 1 |
| 3651 | 1 |
| 3616 | 1 |
| 1654 | 1 |
| 1685 | 1 |
| 1794 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19082889 | RADAR HAVING SCANNING ARRAY ANTENNAS WITH DIELECTRIC LENSING | WINDRICH, MARCUS E | 3646 | §103 | Non-Final OA | — | Pending | Mar 18, 2025 |
| 19082618 | RADAR DEVICE HAVING SCANNING-ARRAY ANTENNAS WITH DIELECTRIC LENSING | GOOD, KENNETH W | 3648 | §103 | Non-Final OA | — | Pending | Mar 18, 2025 |
| 18865925 | Recycling of Scrap | RUSHIN, LESTER III | 3651 | §103§112 | Non-Final OA | — | Pending | Nov 14, 2024 |
| 18490167 | Compliant Structure | GONZALEZ, JULIO CESAR | 3616 | §103§112 | Non-Final OA | — | Pending | Oct 19, 2023 |
| 18281787 | C-Terminal Peptide Modification | DABKOWSKI, ERINNE R | 1654 | §103§112DP | Non-Final OA | — | Pending | Sep 13, 2023 |
| 18259918 | PROTEIN AND PEPTIDE DATABASE-ENABLED RAPID MONITORING AND QUANTIFICATION OF MICROBES AND ASSOCIATED PRODUCTS | NGUYEN, PETER | 1685 | §101§103§112 | Non-Final OA | — | Pending | Jun 29, 2023 |
| 17743190 | Nanopore-Based System for Trapping, Controlled Displacement, and Sequencing of (bio)Macromolecules | OSMAN, SOMMER YOUSEF | 1794 | §103§112 | Final Rejection | — | Pending | May 12, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialTechnische Universiteit Delft has 7 pending office actions as of October 2026, spread across 7 art units and 7 examiners.
Marcus E Windrich has the most, with 1 of Technische Universiteit Delft's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
