Listed by the USPTO as HAN, JOSEP
Tech Center 2100 • Art Units: 2122 2128
This examiner grants 48% of resolved cases
HAN, JOSEP has resolved 27 cases in Tech Center 2100 and Art Unit 2122. The allowance rate is 48.1%, and the median time to allowance is 1549 days. The limited record requires caution in applying the outcome broadly, while the median timing supports planning for a long prosecution horizon.
The interview lift is 11.0%, indicating a modest measured association with allowance. Practitioners may use interviews selectively, with written claim analysis remaining central to responses. The listed companies are Microsoft Technology Licensing, LLC, Samsung Electronics Co., Ltd., and Robert Bosch GmbH. The leading firms are CHIP LAW GROUP, CROWELL & MORING LLP, and HAYES SOLOWAY P.C.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18066281 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM | Final Rejection | FUJIFILM Corporation |
| 17824075 | METHOD AND SYSTEM FOR TASK MANAGEMENT IN AN INTERNET OF THINGS (IoT) EDGE NETWORK | Final Rejection | SAMSUNG ELECTRONICS CO., LTD. |
| 18507042 | VEHICLE REPOSITIONING DETERMINATION FOR VEHICLE POOL | Final Rejection | The Regents of the University of Michigan |
| 18621781 | TABULAR DATA ENCODER FOR CONTINUOUS VARIABLES | Non-Final OA | Robert Bosch GmbH |
| 18600843 | QUANTUM MIRROR MODE FOR ARTIFICIAL INTELLIGENCE (AI) MODELS | Non-Final OA | Bank of America Corporation |
| 17780751 | INFORMATION LEARNING SYSTEM, INFORMATION LEARNING METHOD, INFORMATION LEARNING PROGRAM, AND INFORMATION LEARNING APPARATUS | Final Rejection | NEC Corporation |
| 18437975 | DOMAIN-SPECIFIC WORD EMBEDDING MODEL | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17578326 | CHECKPOINT STATE STORAGE FOR MACHINE-LEARNING MODEL TRAINING | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17327869 | ALGORITHMIC METHOD IN MEMORY TRANSFER EFFICIENCY FOR IMPROVED PERFORMANCE OF NEURAL NETWORKS | Non-Final OA | Texas Instruments Incorporated |
| 18665805 | LLM REWARD GENERATION FOR ML RISK PREDICTION | Non-Final OA | Ebay Inc. |
| 17557015 | Order-Sensitive Automated Modeling, Learning and Reasoning in Multivariate Temporal Event Streams to Enable Alerts, Detection, Prediction and Control | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17748710 | Training Recognition Device | Final Rejection | Hitachi, Ltd. |
| 18636690 | METHOD AND SYSTEM FOR QUALITY CONTROL OF ANSWERS AUTOMATICALLY GENERATED VIA GENERATIVE AI | Non-Final OA | Verizon Patent and Licensing Inc. |
| 17684635 | ARTIFICIAL INTELLIGENCE WITH EXPLAINABILITY INSIGHTS | Final Rejection | Cisco Technology, Inc. |
| 18306578 | FEATURE SELECTION FOR REAL-TIME INFERENCE WITH MULTIPLE UNRELIABLE SENSORS AT THE EDGE | Non-Final OA | Dell Products L.P. |
| 17525376 | REMOVING LESS INFORMATIVE SAMPLES IN SEQUENTIAL DATA | Final Rejection | dSPACE digital signal processing and control engineering GmbH |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy48.1% of resolved applications examined by Josep Han were allowed (27 resolved cases), compared with 31.6% across Art Unit 2122 over the last five years.
This examiner's interview lift is +11.0 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Josep Han took 1,549 days on average from filing to allowance.
Josep Han examines applications in Art Unit 2122 in Tech Center 2100 (Computing & Software).
