Listed by the USPTO as MAUNI, HUMAIRA ZAHIN
Tech Center 2100 • Art Units: 2100 2141
This examiner grants 47% of resolved cases
MAUNI, HUMAIRA ZAHIN works in Tech Center 2100 and Art Unit 2100. The record includes 30 resolved cases, a 46.7% allowance rate, and a 1512-day median to allowance. The 38.1% interview lift is substantial in the reported record, indicating that interviews may materially improve outcomes in suitable cases.
Recurring applicants include Google LLC, Canon Inc., and Sony Group Corporation. The listed firms are Hanley, Flight and Zimmerman, LLC, Jenkins, Taylor & Hunt, P.A., and Keller Preece PLLC. Because the resolved-case base is limited, practitioners should treat the figures as directional and pair interview planning with detailed application-specific analysis.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17858475 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM | Final Rejection | CANON KABUSHIKI KAISHA |
| 18764501 | Knowledge Graphs for Dynamically Generating Content Using a Machine-Learned Content Generation Model | Non-Final OA | Google LLC |
| 18313291 | TRAINING NEURAL NETWORKS USING SIGN AND MOMENTUM BASED OPTIMIZERS | Final Rejection | Google LLC |
| 17666400 | SPARSE ATTENTION NEURAL NETWORKS | Final Rejection | Google LLC |
| 17761072 | INFORMATION PROCESSING DEVICE FOR RE-LEARNING A MODEL BASED ON LEARNING DATA FROM A NEW ENVIRONMENT | Final Rejection | Sony Group Corporation |
| 18095302 | SYSTEM FOR IMPLEMENTING PREDICTIVE CONFIGURATION CHANGES BASED ON TRACKING APPLICATION USAGE PATTERNS | Final Rejection | BANK OF AMERICA CORPORATION |
| 18013759 | MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM | Final Rejection | NEC, Corporation |
| 18074166 | METHOD FOR TRAINING AN ARTIFICIAL NEURAL NETWORK COMPRISING QUANTIZED PARAMETERS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17497736 | DEEP NEURAL NETWORK MODEL DESIGN ENHANCED BY REAL-TIME PROXY EVALUATION FEEDBACK | Non-Final OA | Intel Corporation |
| 18672778 | Graph Neural Network Hardware Accelerator | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17782551 | GENERATING SYNTHETIC PATIENT HEALTH DATA | Final Rejection | The Regents of the University of California |
| 18663526 | WAVEFORM GENERATION IDENTIFYING METHOD AND COMPUTER-READABLE MEDIUM | Non-Final OA | RICOH COMPANY, LTD. |
| 17740935 | Geospatial Clustering of Regions Using Neural Networks for Autonomous Systems and Applications | Non-Final OA | NVIDIA Corporation |
| 18769443 | Auto-regressive system and Auto-regressive Method for a Large Language Model | Non-Final OA | MediaTek Singapore Pte. Ltd. |
| 18112763 | METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR MACHINE LEARNING OF MULTIPLE TASKS | Non-Final OA | The Trustees of the University of Pennsylvania |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy46.7% of resolved applications examined by Humaira Zahin Mauni were allowed (30 resolved cases), compared with 38.8% across Art Unit 2100 over the last five years.
This examiner's interview lift is +38.1 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Humaira Zahin Mauni took 1,512 days on average from filing to allowance.
Humaira Zahin Mauni examines applications in Art Unit 2100 in Tech Center 2100 (Computing & Software).
