Technology areas: Computing & Software • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Dalian University is currently prosecuting 3 pending office actions within the Networking & Security technology area. The portfolio is characterized by dispersion, with distinct art units and distinct examiners each handling 1 of the 3 pending office actions. This structure indicates that the university's networking research spans several different technical niches, each subject to the scrutiny of a different specialized group at the patent office.
TON, DANG T is the busiest examiner for the university, currently overseeing 1 pending office action. Since each examiner is responsible for a case, the university does not face a concentration of risk with any individual. However, this also means that the university cannot leverage experience with an examiner to predict outcomes for the other pending office actions. Practitioners should be prepared for separate prosecution tracks within the Networking & Security field, as the art units may have varying internal policies and timelines.
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 (50%) |
| §103 only | 1 (50%) |
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 |
|---|---|---|---|
| MARU, MATIYAS T | 1 | 60.7% | +2.5% |
| STARKS, WILBERT L | 1 | 74.7% | +3.3% |
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 |
|---|---|---|---|
| 18697677 | FEDERATED UNLEARNING METHOD BASED ON MALICIOUS TERMINAL INTERVENTION TRAINING | STARKS, WILBERT L | — |
| Art Unit | Apps |
|---|---|
| 3791 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18719628 | Method for Recognizing Motor Imagery Electroencephalography (MI-EEG) Signal Based on Capsule Network (CAPSNET) | MARU, MATIYAS T | 3791 | §103 | Non-Final OA | — | Pending | Jun 13, 2024 |
| 18697677 | FEDERATED UNLEARNING METHOD BASED ON MALICIOUS TERMINAL INTERVENTION TRAINING | STARKS, WILBERT L | 2122 | §101 | Non-Final OA | — | Pending | Apr 01, 2024 |
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Start Free TrialDalian University has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Matiyas T Maru has the most, with 1 of Dalian University's pending office actions.
Mostly Medical Devices & Mechanical Engineering (USPTO Tech Center 3700), based on where its pending office actions are examined.
