Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
20 pending office actions • 17 art units • 20 examiners • 0 of 20 (0%) have an AI response strategy ready • 34 patents granted in the last 365 days
NEC Laboratories Europe GmbH has 20 pending office actions in Computing & Software. The matters involve 20 distinct examiners across 17 distinct art units, indicating complete examiner dispersion and broad technical placement. This structure favors systematic portfolio controls alongside application-specific response work.
BARTLEY, KENNETH is the busiest examiner, with 1 pending matter. Counsel should maintain consistent software and computing terminology across the docket, while tailoring claim interpretation and prior-art analysis to each art unit and examiner because no repeated examiner assignment appears in the data.
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 (5%) |
| §101 + other | 8 (40%) |
| §103 only | 4 (20%) |
| §102 only | 2 (10%) |
| §112 only | 1 (5%) |
| Multi-statute (no §101) | 4 (20%) |
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 |
|---|---|---|---|
| BARTLEY, KENNETH | 1 | 36.1% | +28.4% |
| CASANOVA, JORGE A | 1 | 84.9% | +19.8% |
| HEIN, DEVIN C | 1 | 46.0% | +29.7% |
| SAMPAT, RUSHIL PARIMAL | 1 | 89.1% | +2.4% |
| CHOE, YONG J | 1 | 92.2% | +4.6% |
| LANE, THOMAS BERNARD | 1 | 75.0% | +11.9% |
| GOODARZI, NASSER MOAZZAMI | 1 | 40.9% | +9.7% |
| KASSIM, HAFIZ A | 1 | 45.0% | +54.1% |
| WONG, WILLIAM | 1 | 31.7% | +26.9% |
| ALDERSON, ANNE-MARIE K | 1 | 33.1% | +41.9% |
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 |
|---|---|---|---|
| 19298228 | OFFLINE MACHINE LEARNING FOR AUTOMATIC ACTION DETERMINATION OR DECISION MAKING SUPPORT | CASANOVA, JORGE A | — |
| 18815926 | ALLOCATION SYSTEM IN HOSPITAL BY USING GRAPH DATA OF DOCTOR AND PATIENT | CHOE, YONG J | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19161373 | TRANSPARENT PATIENT SYMPTOM-MITIGATION CLUSTERING FROM TEXTUAL DATA | BARTLEY, KENNETH | — |
| 19104242 | IMPROVING EXPLAINABILITY OF PATIENT REPRESENTATIONS IN HEALTHCARE AND HOSPITAL MANAGEMENT SYSTEMS | HEIN, DEVIN C | — |
| 18856631 | NON-REAL TIME CLOUDRIC: ENERGY-EFFICIENT CONTROL OF VRAN RESOURCES IN SHARED O-RAN CLOUDS | SAMPAT, RUSHIL PARIMAL | — |
| 18712715 | ACTIVE LEARNING SYSTEM USING GENERATIVE WEAK SUPERVISION FOR KNOWLEDGE EXTRACTION | LANE, THOMAS BERNARD | — |
| 18293813 | METHOD AND SYSTEM FOR SUPPORTING MULTI-AGENT COMMUNICATION | KASSIM, HAFIZ A | — |
| 18292372 | ENTITY MATCHING WITH JOINT LEARNING OF BLOCKING AND MATCHING | WONG, WILLIAM | — |
| 18275623 | METHOD AND SYSTEM FOR CLASSIFYING VEHICLES BY MEANS OF A DATA PROCESSING SYSTEM | KIM, SEHWAN | — |
| 18275073 | RECOMMENDER SYSTEM FOR TIME-DEPENDENT ACTIONS BASED ON TEMPORAL KNOWLEDGE GRAPHS | SANKS, SCHYLER S | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19161373 | TRANSPARENT PATIENT SYMPTOM-MITIGATION CLUSTERING FROM TEXTUAL DATA | BARTLEY, KENNETH | — |
| 19298228 | OFFLINE MACHINE LEARNING FOR AUTOMATIC ACTION DETERMINATION OR DECISION MAKING SUPPORT | CASANOVA, JORGE A | — |
| 19104242 | IMPROVING EXPLAINABILITY OF PATIENT REPRESENTATIONS IN HEALTHCARE AND HOSPITAL MANAGEMENT SYSTEMS | HEIN, DEVIN C | — |
| 18712715 | ACTIVE LEARNING SYSTEM USING GENERATIVE WEAK SUPERVISION FOR KNOWLEDGE EXTRACTION | LANE, THOMAS BERNARD | — |
| 18293813 | METHOD AND SYSTEM FOR SUPPORTING MULTI-AGENT COMMUNICATION | KASSIM, HAFIZ A | — |
| 18292372 | ENTITY MATCHING WITH JOINT LEARNING OF BLOCKING AND MATCHING | WONG, WILLIAM | — |
| 18398328 | METHOD TO GENERATE SAFE NATURAL LANGUAGE MEDICAL REPORTS FOR DISEASE CLASSIFICATION | ALDERSON, ANNE-MARIE K | — |
| Art Unit | Apps |
|---|---|
| 3686 | 2 |
| 2129 | 2 |
| 1685 | 2 |
| 3684 | 1 |
| 2165 | 1 |
| 2469 | 1 |
| 2135 | 1 |
| 2142 | 1 |
| 2426 | 1 |
| 3623 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19161373 | TRANSPARENT PATIENT SYMPTOM-MITIGATION CLUSTERING FROM TEXTUAL DATA | BARTLEY, KENNETH | 3684 | §101§103 | Non-Final OA | — | Pending | Sep 02, 2025 |
| 19298228 | OFFLINE MACHINE LEARNING FOR AUTOMATIC ACTION DETERMINATION OR DECISION MAKING SUPPORT | CASANOVA, JORGE A | 2165 | §112Other | Non-Final OA | — | Pending | Aug 13, 2025 |
| 19104242 | IMPROVING EXPLAINABILITY OF PATIENT REPRESENTATIONS IN HEALTHCARE AND HOSPITAL MANAGEMENT SYSTEMS | HEIN, DEVIN C | 3686 | §101§103§112 | Non-Final OA | — | Pending | Feb 17, 2025 |
| 18856631 | NON-REAL TIME CLOUDRIC: ENERGY-EFFICIENT CONTROL OF VRAN RESOURCES IN SHARED O-RAN CLOUDS | SAMPAT, RUSHIL PARIMAL | 2469 | §103§112 | Non-Final OA | — | Pending | Oct 15, 2024 |
| 18815926 | ALLOCATION SYSTEM IN HOSPITAL BY USING GRAPH DATA OF DOCTOR AND PATIENT | CHOE, YONG J | 2135 | §102 | Final Rejection | — | Pending | Aug 27, 2024 |
| 18712715 | ACTIVE LEARNING SYSTEM USING GENERATIVE WEAK SUPERVISION FOR KNOWLEDGE EXTRACTION | LANE, THOMAS BERNARD | 2142 | §102§103 | Non-Final OA | — | Pending | May 23, 2024 |
| 18704945 | SYSTEM AND METHOD FOR INDUCTIVE LEARNING ON GRAPHS WITH KNOWLEDGE FROM LANGUAGE MODELS | GOODARZI, NASSER MOAZZAMI | 2426 | §102 | Non-Final OA | — | Pending | Apr 26, 2024 |
| 18293813 | METHOD AND SYSTEM FOR SUPPORTING MULTI-AGENT COMMUNICATION | KASSIM, HAFIZ A | 3623 | §101§103§112 | Final Rejection | — | Pending | Jan 31, 2024 |
| 18292372 | ENTITY MATCHING WITH JOINT LEARNING OF BLOCKING AND MATCHING | WONG, WILLIAM | 2144 | §103§112 | Non-Final OA | — | Pending | Jan 26, 2024 |
| 18398328 | METHOD TO GENERATE SAFE NATURAL LANGUAGE MEDICAL REPORTS FOR DISEASE CLASSIFICATION | ALDERSON, ANNE-MARIE K | 3682 | §103 | Non-Final OA | — | Pending | Dec 28, 2023 |
| 18288828 | METHOD AND SYSTEM FOR MONITORING OF A PHYSICAL ENVIRONMENT'S PRONENESS TO INFECTIOUS DISEASE TRANSMISSION | ILAGAN, VINCENT CAESAR | 3686 | §103 | Non-Final OA | — | Pending | Oct 30, 2023 |
| 18283040 | METHOD FOR OPERATING A MACHINE LEARNING SYSTEM AND A CORRESPONDING DATA PROCESSING SYSTEM | GERGISO, TECHANE | 2408 | §103 | Final Rejection | — | Pending | Sep 20, 2023 |
| 18275623 | METHOD AND SYSTEM FOR CLASSIFYING VEHICLES BY MEANS OF A DATA PROCESSING SYSTEM | KIM, SEHWAN | 2129 | §101§103§112 | Final Rejection | — | Pending | Aug 03, 2023 |
| 18275073 | RECOMMENDER SYSTEM FOR TIME-DEPENDENT ACTIONS BASED ON TEMPORAL KNOWLEDGE GRAPHS | SANKS, SCHYLER S | 2129 | §102§103§112 | Non-Final OA | — | Pending | Jul 31, 2023 |
| 18324199 | ACCELERATING PARTICLE SIMULATIONS USING MACHINE LEARNING AND MOLECULAR DYNAMIC SIMULATIONS | BEVERIDGE, CONNOR HAMMOND | 1687 | §101§102§103 | Non-Final OA | — | Pending | May 26, 2023 |
| 18253044 | METHOD AND SYSTEM FOR QUANTIFYING CELLULAR ACTIVITY FROM HIGH THROUGHPUT SEQUENCING DATA | HILL, GRACELYN MARKHAM | 1685 | §101§103 | Non-Final OA | — | Pending | May 16, 2023 |
| 18248529 | MULTIPLE INSTANCE LEARNING FOR PEPTIDE-MHC PRESENTATION PREDICTION | MINCHELLA, KAITLYN L | 1685 | §101§103§112 | Non-Final OA | — | Pending | Apr 11, 2023 |
| 18000693 | DATA PROGRAMMING METHOD FOR SUPPORTING ARTIFICIAL INTELLIGENCE AND CORRESPONDING SYSTEM | GARNER, CASEY R | 2123 | §101 | Final Rejection | — | Pending | Dec 05, 2022 |
| 17909446 | METHOD AND SYSTEM FOR LEARNING NOVEL RELATIONSHIPS AMONG VARIOUS BIOLOGICAL ENTITIES | LY, CHEYNE D | 2152 | §101§103 | Final Rejection | — | Pending | Sep 06, 2022 |
| 17734129 | KEYWORD BASED OPEN INFORMATION EXTRACTION FOR FACT-RELEVANT KNOWLEDGE GRAPH CREATION AND LINK PREDICTION | HOOVER, BRENT JOHNSTON | 2100 | §103 | Final Rejection | 13d | Pending | May 02, 2022 |
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Start Free TrialNEC Laboratories Europe GmbH has 20 pending office actions as of October 2026, spread across 17 art units and 20 examiners.
Kenneth Bartley has the most, with 1 of NEC Laboratories Europe GmbH's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
