Technology areas: Computing & Software • Communications
99 pending office actions • 60 art units • 84 examiners • 0 of 99 (0%) have an AI response strategy ready • 87 patents granted in the last 365 days
NEC Laboratories America Inc. has 104 pending office actions in Computing & Software. The matters involve 88 distinct examiners and 62 distinct art units, demonstrating a widely distributed portfolio with significant technical and examination diversity.
KIM, SEHWAN is the busiest examiner, with 4 pending matters. The cluster is meaningful for focused monitoring, but most pending activity lies with other examiners. A practical prosecution program should combine centralized oversight of recurring computing issues with matter-level analysis of examiner preferences, art-unit treatment, and claim scope.
Based on the USPTO statutory response window for each pending office action. 22 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 22 of the docket's apps have a known mailing date.
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 | 7 (7%) |
| §101 + other | 42 (42%) |
| §103 only | 21 (21%) |
| §102 only | 1 (1%) |
| §112 only | 1 (1%) |
| Double-patenting only | 3 (3%) |
| Double-patenting + other | 3 (3%) |
| Multi-statute (no §101) | 21 (21%) |
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 |
|---|---|---|---|
| KIM, SEHWAN | 4 | 60.1% | +66.4% |
| WANG, XI | 3 | 84.6% | +13.8% |
| YI, HYUNGJUN B | 3 | 34.5% | +30.2% |
| LANE, THOMAS BERNARD | 3 | 75.0% | +11.9% |
| JABLON, ASHER H. | 3 | 41.8% | +42.6% |
| PENG, HUAWEN A | 2 | 82.3% | +20.4% |
| HANKS, BENJAMIN L | 2 | 21.4% | +30.3% |
| SMITH, EMILIE ALINE | 2 | 49.4% | +35.4% |
| BICKHAM, DAWN MARIE | 2 | 43.9% | +65.7% |
| LU, KUEN S | 1 | 85.2% | +15.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19379133 | GUIDING PRIVATE ARTIFICIAL INTELLIGENCE MODELS WITH PUBLIC SOLUTIONS | LU, KUEN S | — |
| 19265069 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19265078 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19223218 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
| 19223214 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
| 19223207 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
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 |
|---|---|---|---|
| 18493331 | NEURAL POINT PROCESS-BASED EVENT PREDICTION FOR MEDICAL DECISION MAKING | COLE, BRANDON S | 56d overdue |
| 18485240 | UTILITY POLE LOCALIZATION FROM AMBIENT DATA | HAGOS, EYOB | 26d overdue |
| 18935505 | Resource Allocation for Power, Communication, and Transportation Infrastructure Restoration usingDistributed Fiber Optic Sensing | DELICH, STEPHANIE ZAGARELLA | 16d overdue |
| 18316199 | UTILITY POLE INTEGRITY ASSESSMENT BY DAS AND MACHINE LEARNING USING ENVIRONMENTAL NOISE | KIDWELL, KAITLYN ELIZABETH | 8d |
| 17888819 | INTERDEPENDENT CAUSAL NETWORKS FOR ROOT CAUSE LOCALIZATION | ROHD, BENJAMIN MATTHEW | 9d |
| 18505732 | MACHINE LEARNING MODEL FOR MULTI-CAMERA MULTI-PERSON TRACKING | LIN, JESSICA YIFANG | 12d |
| 17510882 | PEPTIDE-BASED VACCINE GENERATION | BICKHAM, DAWN MARIE | 12d |
| 18479326 | INTERPRETING CONVOLUTIONAL SEQUENCE MODEL BY LEARNING LOCAL AND RESOLUTION-CONTROLLABLE PROTOTYPES | YI, HYUNGJUN B | 26d |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17510882 | PEPTIDE-BASED VACCINE GENERATION | BICKHAM, DAWN MARIE | 12d |
| 18479326 | INTERPRETING CONVOLUTIONAL SEQUENCE MODEL BY LEARNING LOCAL AND RESOLUTION-CONTROLLABLE PROTOTYPES | YI, HYUNGJUN B | 26d |
| 18479372 | INTERPRETING CONVOLUTIONAL SEQUENCE MODEL BY LEARNING LOCAL AND RESOLUTION-CONTROLLABLE PROTOTYPES | YI, HYUNGJUN B | 34d |
| 18152238 | SEMI-SUPERVISED FRAMEWORK FOR EFFICIENT TIME-SERIES ORDINAL CLASSIFICATION | KIM, SEHWAN | 57d |
| 19379133 | GUIDING PRIVATE ARTIFICIAL INTELLIGENCE MODELS WITH PUBLIC SOLUTIONS | LU, KUEN S | — |
| 19265069 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19265078 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19223218 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
| Art Unit | Apps |
|---|---|
| 2146 | 4 |
| 2877 | 3 |
| 2637 | 3 |
| 2656 | 3 |
| 2147 | 3 |
| 1685 | 3 |
| 2142 | 3 |
| 2127 | 3 |
| 2144 | 3 |
| 2159 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19379133 | GUIDING PRIVATE ARTIFICIAL INTELLIGENCE MODELS WITH PUBLIC SOLUTIONS | LU, KUEN S | 2165 | §103 | Non-Final OA | — | Pending | Nov 04, 2025 |
| 19324451 | DOMAIN-SPECIFIC QUESTION ANSWERING WITH CONTEXT REDUCTION FOR DECISION MAKING | MAMILLAPALLI, PAVAN | 2159 | §101Other | Non-Final OA | — | Pending | Sep 10, 2025 |
| 19319030 | EVALUATING MULTIMODAL RETRIEVAL AUGMENTED GENERATION PERFORMANCE | NGUYEN, KIM T | 2153 | §102 | Non-Final OA | — | Pending | Sep 04, 2025 |
| 19296145 | RAG-ENHANCED PROBLEM SOLVING FOR MEDICAL DECISION MAKING | CHNG, JOY POH AI | 3686 | §101§102§103§112 | Non-Final OA | — | Pending | Aug 11, 2025 |
| 19265069 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | 2169 | §103Other | Non-Final OA | — | Pending | Jul 10, 2025 |
| 19265078 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | 2169 | DP | Non-Final OA | — | Pending | Jul 10, 2025 |
| 19247235 | ELASTIC FIBER OPTIC, TIME-OF-FLIGHT SENSOR FOR LONG DISTANCE LANDSLIDE MONITORING WITH SUB-MM PRECISION | REVERMAN, CHAD ANDREW | 2877 | §102§103 | Non-Final OA | — | Pending | Jun 24, 2025 |
| 19223218 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | 2637 | DP | Non-Final OA | — | Pending | May 30, 2025 |
| 19223214 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | 2637 | DPOther | Non-Final OA | — | Pending | May 30, 2025 |
| 19223207 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | 2637 | DP | Non-Final OA | — | Pending | May 30, 2025 |
| 19218660 | HETEROGENEOUS COMPUTATION PLATFORM FOR HIGH DEFINITION DISTRIBUTED ACOUSTIC FIBER SENSING | YIMER, GETENTE A | 2181 | §101 | Non-Final OA | — | Pending | May 27, 2025 |
| 19206304 | LLM TIME SERIES ANALYSIS FOR MEDICAL DECISION MAKING | HANKS, BENJAMIN L | 3684 | §101§103 | Non-Final OA | — | Pending | May 13, 2025 |
| 19204978 | POWER GRID INTELLIGENCE: AI PLATFORM FOR INFRASTRUCTURE INSPECTION AND LOCALIZATION | SHEIKH, ASFAND M | 3626 | §103§112 | Final Rejection | — | Pending | May 12, 2025 |
| 19205380 | LLM SKILL LEARNING FOR MEDICAL DECISION MAKING THROUGH SELF-PLAY | NG, JONATHAN K | 3619 | §101§103 | Non-Final OA | — | Pending | May 12, 2025 |
| 19199922 | GENERATING CATEGORICAL DATA FOR MISSING VALUES IN ANOMALY DETECTION SYSTEMS | ALMANI, MOHSEN | 2159 | §103 | Final Rejection | — | Pending | May 06, 2025 |
| 19183184 | 3D DRIVING SCENE GENERATION WITH OUTPAINTING AND INTERPOLATION | MINKO, DENIS VASILIY | 2612 | §103 | Non-Final OA | — | Pending | Apr 18, 2025 |
| 19097273 | SENSOR-AGNOSTIC INDOOR LOCALIZATION FRAMEWORK | JHA, ABDHESH K | 4100 | §102§103 | Non-Final OA | — | Pending | Apr 01, 2025 |
| 19052465 | LARGE-SCALE ACOUSTIC RECOGNITION SYSTEM | RAHMAN, MD M | 2877 | §103 | Non-Final OA | — | Pending | Feb 13, 2025 |
| 19051847 | ROUTER-GUIDED KNOWLEDGE INFUSION | BLANKENAGEL, BRYAN S | 2658 | §101§102§103 | Non-Final OA | — | Pending | Feb 12, 2025 |
| 19039107 | DETECTING ARTIFICIAL INTELLIGENCE GENERATED TEXT IN LARGE DOCUMENT CORPORA | AZAD, ABUL K | 2656 | §102§103 | Non-Final OA | — | Pending | Jan 28, 2025 |
| 19015018 | LARGE LANGUAGE MODEL AUGMENTATION WITH DEFINITE FINITE AUTOMATON | SUBRAMANI, NANDINI | 2656 | §103 | Non-Final OA | — | Pending | Jan 09, 2025 |
| 19012201 | FAIRNESS-AWARE DOMAIN GENERALIZATION FOR MEDICAL DECISION MAKING | HEIN, DEVIN C | 3686 | §102§103 | Final Rejection | 55d | Pending | Jan 07, 2025 |
| 18968277 | EXPANDING TOKEN LENGTHS IN TRANSFORMER ENCODERS | DUFFY, CAROLINE TABANCAY | 2662 | §103 | Non-Final OA | — | Pending | Dec 04, 2024 |
| 18968204 | RETRIEVAL AUGMENTED GENERATION FOR VIDEOS | MHEIR, ZUHEIR | 2198 | §101§102§103 | Final Rejection | 27d | Pending | Dec 04, 2024 |
| 18944762 | KNOWLEDGE-ENHANCED PROCEDURE PLANNING OF INSTRUCTIONAL VIDEOS USING KNOWLEDGE GRAPH AND LARGE LANGUAGE MODELS | HULL, JAMES B | 3715 | §101 | Non-Final OA | — | Pending | Nov 12, 2024 |
| 18938823 | AGENT-BASED CARBON EMISSION REDUCTION SYSTEM | CHEN, WENREN | 3626 | §101§103 | Non-Final OA | 68d | Pending | Nov 06, 2024 |
| 18938281 | TRANSFORMER STATUS MONITORING USING FIBER SENSING | TANG, MICHAEL XUEFEI | — | §103 | Non-Final OA | — | Pending | Nov 06, 2024 |
| 18938834 | 3D GUNSHOT LOCALIZATION, TRACKING, AND AI ENHANCED SYSTEM FOR SUBSTATION SECURITY | EUSTAQUIO, CAL J | 2686 | §103 | Final Rejection | 36d | Pending | Nov 06, 2024 |
| 18937680 | RISK MITIGATION SYSTEM FOR ELECTRICAL POWER GRIDS | TRAN, VI N | 2117 | §103 | Non-Final OA | — | Pending | Nov 05, 2024 |
| 18936290 | PHOTOREALISTIC TRAINING DATA AUGMENTATION | HSU, JONI | 2611 | §103 | Final Rejection | — | Pending | Nov 04, 2024 |
| 18935512 | Deep Learning and Language Model Enhanced System for Wind Turbine Monitoring Using DistributedFiber Optic Sensing (DL-LM-DFOS) | WASAFF, JOHN S. | 3629 | §101§103§112 | Final Rejection | — | Pending | Nov 02, 2024 |
| 18935505 | Resource Allocation for Power, Communication, and Transportation Infrastructure Restoration usingDistributed Fiber Optic Sensing | DELICH, STEPHANIE ZAGARELLA | 3623 | §101§103 | Final Rejection | 16d overdue | Pending | Nov 02, 2024 |
| 18935515 | DISPLACEMENT SENSORS CONSTRUCTED USING LOW COST ToF SENSORS AND OPTICAL FIBERS WITH LARGE ELONGATION CAPABILITIES | PATEL, SANJIV D | 2625 | §102§103 | Non-Final OA | — | Pending | Nov 02, 2024 |
| 18935499 | INTERACTIVE SOLUTIONS FOR CABLE MAPPING OVER DEPLOYED OPTICAL FIBER NETWORKS | NGUYEN, QUANG X.L. | 2853 | §102§103 | Non-Final OA | — | Pending | Nov 02, 2024 |
| 18934714 | DYNAMIC COMPRESSION OF DISTRIBUTED SENSING DATA | SINHA, TARUN | 2855 | §103 | Non-Final OA | — | Pending | Nov 01, 2024 |
| 18931681 | SELF-IMPROVING DATA ENGINE FOR AUTONOMOUS VEHICLES | GARCIA, PAULO ANDRES | 2669 | §103 | Non-Final OA | — | Pending | Oct 30, 2024 |
| 18930454 | LINEAR ACOUSTIC SENSING WITH A FLEXIBLE ARRAY | ZHONG, XIN Y | 2855 | §102§103 | Non-Final OA | — | Pending | Oct 29, 2024 |
| 18924340 | CABLE NETWORK INSPECTION USING OPTICAL FIBER SENSING | PHAM, TOAN NGOC | 2685 | §101§102§103 | Non-Final OA | — | Pending | Oct 23, 2024 |
| 18922837 | ADVERSARIAL IMITATION LEARNING ENGINE FOR KPI OPTIMIZATION | GO, JOHN PHILIP | 3681 | §101§103 | Final Rejection | 77d | Pending | Oct 22, 2024 |
| 18904571 | LANGUAGE-BASED OBJECT DETECTION AND DATA AUGMENTATION | TSAI, TSUNG YIN | 2656 | §102§103 | Non-Final OA | — | Pending | Oct 02, 2024 |
| 18903348 | VIEW SYNTHESIS FOR SELF-DRIVING | SUN, JIANGENG | 2671 | §103 | Non-Final OA | — | Pending | Oct 01, 2024 |
| 18903411 | HIERARCHICAL SCENE MODELING FOR SELF-DRIVING VEHICLES | PROTAZI, BRIGITER DIVULALE | 2612 | §103§112 | Final Rejection | — | Pending | Oct 01, 2024 |
| 18901647 | ENHANCING AMI EVENT CLASSIFICATION WITH GRAPH NEURAL NETWORKS (GNNs) | JARRETT, SCOTT L | 3625 | §101 | Final Rejection | — | Pending | Sep 30, 2024 |
| 18901760 | INDOOR MIMO ACOUSTIC DETECTION AND LOCALIZATION USING TONE SIGNALS | BREIER, KRYSTINE E | 3645 | §103§112 | Non-Final OA | 83d | Pending | Sep 30, 2024 |
| 18891625 | AUTOMATIC ISSUE DETECTION IN MODELS | ALAVI, AMIR | 2668 | §101 | Non-Final OA | — | Pending | Sep 20, 2024 |
| 18891590 | AUTOMATIC DATA SYSTEMS FOR NOVEL OBJECT DETECTION | DESIRE, GREGORY M | 2676 | §101§102§103 | Non-Final OA | — | Pending | Sep 20, 2024 |
| 18816444 | MACHINE LEARNING MODEL FOR VIDEO WITH REAL-TIME RATE CONTROL | HUANG, FRANK F | 2485 | §103 | Final Rejection | — | Pending | Aug 27, 2024 |
| 18749887 | PROMPT-BASED MODULAR NETWORK FOR TIME SERIES FEW SHOT TRANSFER | SMITH, KEVIN LEE | 2122 | §101§102§103§112 | Non-Final OA | — | Pending | Jun 21, 2024 |
| 18678121 | RULE-BASED EDGE CLOUD OPTIMIZATION FOR REAL-TIME VIDEO ANALYTICS | MUDRICK, TIMOTHY A | — | §103 | Non-Final OA | — | Pending | May 30, 2024 |
| 18670275 | WEIGHT ATTENTION FOR TRANSFORMERS IN MEDICAL DECISION MAKING MODELS | PHAM, KHANH B | 2166 | §103 | Non-Final OA | — | Pending | May 21, 2024 |
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Start Free TrialNEC Laboratories America Inc. has 99 pending office actions as of October 2026, spread across 60 art units and 84 examiners.
Sehwan Kim has the most, with 4 of NEC Laboratories America Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
