Prosecution Insights
Last updated: October 02, 2026

Examiner: MEMON, OWAIS IQBAL

Tech Center 2600 • Art Units: 2663

This examiner grants 78% of resolved cases

Analysis

Owais Iqbal Memon is a patent examiner in Tech Center 2600, working within Art Unit 2663. The examiner has 125 resolved cases and an allowance rate of 77.6 percent. This 77.6 percent rate reflects the proportion of applications that reach a grant. For the 125 cases handled, this data provides a basis for understanding the probability of success during the examination process. The volume of resolved cases reflects the examiner's experience within Tech Center 2600.

The median days to allowance for this examiner is 1060. This 1060-day timeline represents the duration for an application to move from filing to a grant. Applicants should consider this period when planning their patent strategy and resource allocation. The volume of 125 resolved cases suggests that this duration is a consistent aspect of the examiner's workflow in Art Unit 2663. This median provides a specific metric for evaluating the expected length of prosecution.

The data shows an interview lift of 14.7 percent. This 14.7 percent lift represents the change in the likelihood of allowance when an interview is conducted. It suggests that direct communication is a method for addressing the probability of a grant. For practitioners, utilizing an interview is an option to navigate the prosecution process and achieve a positive outcome. Practitioners can use this lift to evaluate the potential benefits of direct engagement.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

77.6%
Allow Rate
+15.6% vs TC avg
137
Total Applications
+14.7%
Interview Lift
1060
Avg Prosecution Days
Based on 125 resolved cases, 2023–2026

Rejection Statute Breakdown

4.6%
§101 Eligibility
31.3%
§102 Novelty
54.3%
§103 Obviousness
9.0%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18933479 CONTROLLED DEFECT AUGMENTATION VIA TEXT AND IMAGE GUIDED DIFFUSION MODEL Non-Final OA Robert Bosch GmbH
18952395 METHOD FOR EVALUATING THE EXPLOITABILITY OF 4D-TOMOGRAPHIC IMAGE DATA, COMPUTER PROGRAM PRODUCT AND SCANNER DEVICE Non-Final OA Siemens Healthineers AG
18869923 OBJECT DETECTION DEVICE AND OBJECT DETECTION METHOD Non-Final OA NTT, Inc.
18868738 OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND OBJECT DETECTION PROGRAM Non-Final OA NTT, Inc.
17900018 PROCESSING-IN-MEMORY SYSTEM WITH DEEP LEARNING ACCELERATOR FOR ARTIFICIAL INTELLIGENCE Final Rejection Micron Technology, Inc.
18870924 SYSTEMS AND METHODS FOR FOUR-DIMENSIONAL FLOW MRI DATASETS Non-Final OA Purdue Research Foundation
18927484 SYSTEMS AND METHODS FOR FEATURE ALIGNMENT WITH UNCERTAINTY-GUIDED REGIONAL ATTENTION FOR MULTIMODAL FUSION IN AN AUTONOMOUS VEHICLE Non-Final OA Torc Robotics, Inc.
18614287 SAFETY DECOMPOSITION USING REDUNDANT FIELD OF VIEW OF MULTIPLE SENSORS Non-Final OA Torc Robotics, Inc.

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