Listed by the USPTO as PHUNG, STEVEN HUYNH
Tech Center 2100 • Art Units: 2123 2125 2145
This examiner grants 74% of resolved cases
PHUNG, STEVEN HUYNH is assigned to technology center 2100 and art unit 2123. The profile records 47 resolved cases and an allowance rate of 74.5%. The sample is narrower than a high-volume examiner record, but the allowance rate indicates that a majority of resolved matters reached allowance.
The median time to allowance is 1617 days. Interview lift is 29.5%, showing a meaningful positive association between interviews and allowance in the measured cases. That relationship makes interview timing and preparation relevant considerations for prosecution planning.
The recurring companies are Royal Bank of Canada, Google LLC, and Qualcomm Incorporated. The listed firms are Harrity & Harrity, LLP, Harrity & Harrity, LLP \ Qualcomm, and KHMRG (NVIDIA). Counsel can use this profile to anticipate a relatively extended path to allowance while preserving interviews as a potentially useful intervention.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17508734 | TECHNIQUES FOR TRAINED MODEL BIAS ASSESSMENT | Non-Final OA | Oracle International Corporation |
| 18485457 | Scalable Self-Supervised Graph Clustering | Non-Final OA | Google LLC |
| 18427666 | RE-ENGINEERING DATA TO ENABLE AI TO EXCEED ITS CURRENT LIMITS BY UTILIZING QUANTUM ENGINEERING | Non-Final OA | Bank of America Corporation |
| 17448298 | QUANTIZED FEEDBACK IN FEDERATED LEARNING WITH RANDOMIZATION | Non-Final OA | QUALCOMM Incorporated |
| 17729330 | MACHINE LEARNING BASED MONITORING FOCUS ENGINE | Final Rejection | Microsoft Technology Licensing, LLC |
| 17362684 | NEURAL NETWORKS WITH ANALOG AND DIGITAL MODULES | Non-Final OA | International Business Machines Corporation |
| 17519532 | NEURAL NETWORKS TRAINED USING EVENT OCCURRENCES | Final Rejection | NVIDIA Corporation |
| 18653714 | SYSTEMS AND METHODS TO STACK MACHINE LEARNING MODELS TO CAPTURE DETERMINISTIC RELATIONS | Non-Final OA | SAP SE |
| 18436313 | SYSTEMS AND METHODS FOR STRESS DETECTION USING KINEMATIC DATA | Non-Final OA | Board of Regents, The University of Texas System |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy74.5% of resolved applications examined by Steven Huynh Phung were allowed (47 resolved cases), compared with 38.8% across Art Unit 2123 over the last five years.
This examiner's interview lift is +29.5 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Steven Huynh Phung took 1,617 days on average from filing to allowance.
Steven Huynh Phung examines applications in Art Unit 2123 in Tech Center 2100 (Computing & Software).
