Tech Center 2100 • Art Units: 2122 2124 2148
This examiner grants 70% of resolved cases
Kevin W. Figueroa is a patent examiner in Tech Center 2100 and Art Unit 2122. He has reached a resolution in 376 cases. The data shows an allowance rate of 70.2 percent for these cases. This percentage reflects the proportion of applications that result in a patent grant rather than an abandonment. Practitioners can use this 70.2 percent figure to assess the general likelihood of success when an application is assigned to this examiner.
The prosecution strategy may be influenced by the interview lift of 20.7 percent. This metric measures the change in the allowance rate when an interview is part of the process. An interview lift of 20.7 percent suggests that direct communication with the examiner is associated with a higher probability of allowance. This information is valuable for determining whether to dedicate resources to an examiner interview during the prosecution of a patent application.
The median days to allowance for applications handled by this examiner is 1426. This number represents the middle value of the time taken from filing to the issuance of a patent. A median of 1426 days provides a specific timeline for applicants to consider when planning their patent portfolio strategy. The 376 resolved cases provide the basis for these metrics, offering a data-grounded view of the examiner's historical patterns.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18672874 | CONTEXT OPTIMIZATION FOR CONTEXT-BASED TABULAR CLASSIFICATION | Non-Final OA | THE TORONTO-DOMINION BANK |
| 18286386 | ABDUCTIVE REASONING APPARATUS, ABDUCTIVE REASONING METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 17828615 | INFORMATION PROCESSING METHOD, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING DEVICE | Final Rejection | Panasonic Intellectual Property Corporation of America |
| 18386023 | SYSTEMS, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR DETECTING AND ANALYZING DATA CLONES IN TABULAR DATASETS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18074915 | SYSTEM AND METHOD FOR UNSUPERVISED MULTI-MODEL JOINT REASONING | Final Rejection | Huawei Cloud Computing Technologies Co., Ltd. |
| 18189716 | System and Technique for Constructing and Utilizing Pattern Knowledge Graphs | Non-Final OA | Robert Bosch GmbH |
| 17482176 | SHAPED CONVOLUTION KERNELS | Non-Final OA | QUALCOMM Incorporated |
| 18258523 | IMPROVED DISTRIBUTED TRAINING OF GRAPH-EMBEDDING NEURAL NETWORKS | Final Rejection | Orange |
| 18443429 | TRAINING DEEP BELIEF NETWORKS | Non-Final OA | Fujitsu Limited |
| 18294785 | METHOD AND DATA PROCESSING SYSTEM FOR LOSSY IMAGE OR VIDEO ENCODING, TRANSMISSION AND DECODING | Non-Final OA | InterDigital VC Holdings, Inc. |
| 18418016 | DETERMINING HIERARCHICAL INFORMATION FROM AN INTERNET PROTOCOL ADDRESS TO PREDICT AN ENTITY ATTRIBUTE | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18328733 | COMPUTATION-EFFICIENT FEDERATED LEARNING FOR SYSTEMS WITH RESOURCE HETEROGENEITY | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18326204 | FEDERATED LEARNING PARTICIPANT SELECTION THROUGH LABEL DISTRIBUTION CLUSTERING | Non-Final OA | International Business Machines Corporation |
| 17545573 | FEDERATED MACHINE LEARNING BASED ON PARTIALLY SECURED SPATIO-TEMPORAL DATA | Non-Final OA | International Business Machines Corporation |
| 17537168 | GENERATING ANSWERS TO MULTI-HOP CONSTRAINT-BASED QUESTIONS FROM KNOWLEDGE GRAPHS | Final Rejection | Accenture Global Solutions Limited |
| 18391479 | KNOWLEDGE GRAPH DATA FUSION | Non-Final OA | Alipay (Hangzhou) Information Technology Co., Ltd. |
| 18116974 | MONITORING AND CONTROL SYSTEM FOR CONNECTED BUILDING EQUIPMENT WITH FAULT PREDICTION AND PREDICTIVE MAINTENANCE | Non-Final OA | Johnson Controls Tyco IP Holdings LLP |
| 18285519 | LEARNING DIVERSE SKILLS FOR TASKS USING SEQUENTIAL LATENT VARIABLES FOR ENVIRONMENT DYNAMICS | Non-Final OA | DeepMind Technologies Limited |
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