Technology areas: Computing & Software • Communications
113 pending office actions • 70 art units • 97 examiners • 0 of 113 (0%) have an AI response strategy ready • 86 patents granted in the last 365 days
NEC Laboratories America Inc. maintains a substantial presence in the Computing & Software technology area with 114 pending office actions. This volume of active prosecution is spread across 99 distinct examiners and 53 distinct art units. The high count of 53 distinct art units reflects a broad technical footprint, requiring the company to manage relationships and strategies across a wide swath of the patent office's organizational structure.
KIM, SEHWAN is the busiest examiner for this portfolio, currently handling 4 pending office actions. While this is the highest concentration for any single examiner, these 4 actions represent a small portion of the 114 total pending office actions. The distribution across 99 distinct examiners suggests that the vast majority of cases are being handled individually, limiting the impact that any single examiner's tendencies might have on the overall portfolio.
The ratio of pending office actions to 53 distinct art units indicates that many units are handling multiple cases for the company. However, with 99 distinct examiners involved, there is significant variety in the individual perspectives reviewing the applications. Practitioners must account for this wide distribution when coordinating prosecution strategies, as the various art units will likely apply different interpretations of software-related patentability standards.
Based on the USPTO statutory response window for each pending office action. 23 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. 23 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 (6%) |
| §101 + other | 49 (43%) |
| §103 only | 23 (20%) |
| §102 only | 2 (2%) |
| §112 only | 2 (2%) |
| Double-patenting only | 3 (3%) |
| Double-patenting + other | 4 (4%) |
| Multi-statute (no §101) | 23 (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 |
|---|---|---|---|
| KIM, SEHWAN | 4 | 60.5% | +66.9% |
| WANG, XI | 3 | 84.5% | +13.9% |
| YI, HYUNGJUN B | 3 | 34.5% | +30.2% |
| LANE, THOMAS BERNARD | 3 | 78.9% | +6.4% |
| JABLON, ASHER H. | 3 | 41.8% | +42.6% |
| PENG, HUAWEN A | 2 | 82.3% | +20.4% |
| HANKS, BENJAMIN L | 2 | 21.4% | +30.3% |
| PHAM, KHANH B | 2 | 72.5% | +15.3% |
| SMITH, EMILIE ALINE | 2 | 49.4% | +35.4% |
| BICKHAM, DAWN MARIE | 2 | 45.0% | +65.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19265078 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19265069 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19223207 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
| 19223218 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
| 19223214 | 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 |
| 19265078 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19265069 | Automated Non-Synchronization Detection and Resolution to Support Decision Making in Complex Systems | PENG, HUAWEN A | — |
| 19223207 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
| 19223218 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | — |
| Art Unit | Apps |
|---|---|
| 2877 | 4 |
| 2146 | 4 |
| 2637 | 3 |
| 2656 | 3 |
| 2121 | 3 |
| 2147 | 3 |
| 1685 | 3 |
| 2142 | 3 |
| 2127 | 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 |
| 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 |
| 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 |
| 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 |
| 19223207 | ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING | WANG, XI | 2637 | DP | Non-Final OA | — | Pending | May 30, 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 |
| 19218660 | HETEROGENEOUS COMPUTATION PLATFORM FOR HIGH DEFINITION DISTRIBUTED ACOUSTIC FIBER SENSING | YIMER, GETENTE A | 2181 | §101 | Non-Final OA | — | Pending | May 27, 2025 |
| 19218637 | ANALOG DUAL-COMB SENSING WITH CONTINUOUS-WAVE LOCAL OSCILLATION | HANSEN, JONATHAN M | 2877 | §102 | Non-Final OA | — | Pending | May 27, 2025 |
| 19219090 | GUIDING MULTIPLE MODELS WITH A LARGE LANGUAGE MODEL | KORSAK, OLEG | 2492 | §102§103DP | Non-Final OA | — | Pending | May 27, 2025 |
| 19218439 | REAL-TIME DATA TRANSFER SCHEME FROM LIMITED POWER EMBEDDED SYSTEMS | VO, TIM T | 2138 | §101§103§112 | Non-Final OA | — | Pending | May 26, 2025 |
| 19206304 | LLM TIME SERIES ANALYSIS FOR MEDICAL DECISION MAKING | HANKS, BENJAMIN L | 3684 | §101§103 | Non-Final OA | — | Pending | May 13, 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 |
| 19204978 | POWER GRID INTELLIGENCE: AI PLATFORM FOR INFRASTRUCTURE INSPECTION AND LOCALIZATION | SHEIKH, ASFAND M | 3626 | §103§112 | Final Rejection | — | Pending | May 12, 2025 |
| 19202181 | ONLINE MULTI-MODALITY ROOT CAUSE ANALYSIS | MANOSKEY, JOSEPH D | 2113 | §101§103 | Non-Final OA | — | Pending | May 08, 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 |
| 19030328 | ENHANCING FIELD OPERATION EFFICIENCY AND NETWORK PERFORMANCE USING FIBER SENSING AND GENERATIVE AI / LLM | SANDHU, AMRITBIR K | 2634 | §103 | Non-Final OA | — | Pending | Jan 17, 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 |
| 18968204 | RETRIEVAL AUGMENTED GENERATION FOR VIDEOS | MHEIR, ZUHEIR | 2198 | §101§102§103 | Final Rejection | 27d | Pending | Dec 04, 2024 |
| 18968277 | EXPANDING TOKEN LENGTHS IN TRANSFORMER ENCODERS | DUFFY, CAROLINE TABANCAY | 2662 | §103 | Non-Final OA | — | 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 |
| 18938834 | 3D GUNSHOT LOCALIZATION, TRACKING, AND AI ENHANCED SYSTEM FOR SUBSTATION SECURITY | EUSTAQUIO, CAL J | 2686 | §103 | Final Rejection | 36d | Pending | Nov 06, 2024 |
| 18938823 | AGENT-BASED CARBON EMISSION REDUCTION SYSTEM | CHEN, WENREN | 3626 | §101§103 | Non-Final OA | 68d | Pending | Nov 06, 2024 |
| 18937628 | OPEN VOCABULARY ACTION DETECTION | HAIDER, SYED | 2633 | §103 | Non-Final OA | — | Pending | Nov 05, 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 |
| 18935513 | INTEGRATED DISTRIBUTED FIBER OPTIC SENSING SYSTEM FOR ENHANCED OFFSHORE WIND TURBINE MONITORING USING PHYSICS-INFORMED MACHINE LEARNING ALGORITHMS | KINGSLAND, KYLE J | 2855 | §101§102§103 | Non-Final OA | — | Pending | Nov 02, 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 |
| 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 |
| 18935489 | INTEGRATED SECURITY SYSTEM FOR SUBSTATION MONITORING AND DETECTION USING DISTRIBUTED ACOUSTIC SENSING, DRONES, AND SECURITY CAMERAS | MA, KAM WAN | 2688 | §103 | 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 |
| 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 |
| 18926709 | LOCALIZATION-AWARE CONFIDENCE CALIBRATION FOR MEDICAL DECISION MAKING | CODRINGTON, SHANE WRENSFORD | 2667 | §101§102§103 | Non-Final OA | — | Pending | Oct 25, 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 |
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Start Free TrialNEC Laboratories America Inc. has 113 pending office actions as of October 2026, spread across 70 art units and 97 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.