Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Intelligent Fusion Technology Inc. has 4 pending office actions in Computing & Software. The matters are assigned to 4 distinct examiners and 4 distinct art units, so each action occupies a separate examination channel within the reported docket.
AMIN, MUSTAFA A is the busiest examiner, with 1 pending matter. No examiner is identified as carrying a larger share, making coordinated docket tracking and separate response preparation important for prosecution management.
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 (25%) |
| §101 + other | 1 (25%) |
| Multi-statute (no §101) | 2 (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 |
|---|---|---|---|
| AMIN, MUSTAFA A | 1 | 64.2% | +30.0% |
| RIFKIN, BEN M | 1 | 44.2% | +17.1% |
| ZHU, NOAH YI MIN | 1 | 79.0% | +13.9% |
| RUTTEN, JAMES D | 1 | 63.4% | +37.7% |
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 |
|---|---|---|---|
| 18324986 | Method, System and Storage Medium for Remaining Useful Life Prediction of Aircraft Engine Based on Gaussian Process Regression Integrated Deep Learning | RUTTEN, JAMES D | 49d |
| 18806392 | METHOD, SYSTEM, AND STORAGE MEDIUM OF MACHINE-LEARNINGBASED REAL-TIME TASK SCHEDULING FOR APACHE STORM CLUSTER | AMIN, MUSTAFA A | — |
| 18428822 | MAINTENANCE SCHEDULING USING EXPLAINABLE REINFORCEMENT LEARNING | RIFKIN, BEN M | — |
| 18461825 | SYSTEMS AND METHODS FOR LINEAR FREQUENCY-MODULATED CONTINUOUS-WAVE (LFMCW) RADAR | ZHU, NOAH YI MIN | — |
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 |
|---|---|---|---|
| 18324986 | Method, System and Storage Medium for Remaining Useful Life Prediction of Aircraft Engine Based on Gaussian Process Regression Integrated Deep Learning | RUTTEN, JAMES D | 49d |
| 18806392 | METHOD, SYSTEM, AND STORAGE MEDIUM OF MACHINE-LEARNINGBASED REAL-TIME TASK SCHEDULING FOR APACHE STORM CLUSTER | AMIN, MUSTAFA A | — |
| 18428822 | MAINTENANCE SCHEDULING USING EXPLAINABLE REINFORCEMENT LEARNING | RIFKIN, BEN M | — |
| 18461825 | SYSTEMS AND METHODS FOR LINEAR FREQUENCY-MODULATED CONTINUOUS-WAVE (LFMCW) RADAR | ZHU, NOAH YI MIN | — |
| Art Unit | Apps |
|---|---|
| 2194 | 1 |
| 2123 | 1 |
| 3648 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18806392 | METHOD, SYSTEM, AND STORAGE MEDIUM OF MACHINE-LEARNINGBASED REAL-TIME TASK SCHEDULING FOR APACHE STORM CLUSTER | AMIN, MUSTAFA A | 2194 | §101 | Non-Final OA | — | Pending | Aug 15, 2024 |
| 18428822 | MAINTENANCE SCHEDULING USING EXPLAINABLE REINFORCEMENT LEARNING | RIFKIN, BEN M | 2123 | §101§103 | Non-Final OA | — | Pending | Jan 31, 2024 |
| 18461825 | SYSTEMS AND METHODS FOR LINEAR FREQUENCY-MODULATED CONTINUOUS-WAVE (LFMCW) RADAR | ZHU, NOAH YI MIN | 3648 | §103§112 | Non-Final OA | — | Pending | Sep 06, 2023 |
| 18324986 | Method, System and Storage Medium for Remaining Useful Life Prediction of Aircraft Engine Based on Gaussian Process Regression Integrated Deep Learning | RUTTEN, JAMES D | 2121 | §103§112 | Final Rejection | 49d | Pending | May 28, 2023 |
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Start Free TrialIntelligent Fusion Technology Inc. has 4 pending office actions as of October 2026, spread across 4 art units and 4 examiners.
Mustafa A Amin has the most, with 1 of Intelligent Fusion Technology Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
