Prosecution Insights
Last updated: October 02, 2026

Examiner: AFSHAR, KAMRAN

Tech Center 2600 • Art Units: 2100 2123 2125 2165 2617 2646

This examiner grants 67% of resolved cases

Analysis

Kamran Afshar is assigned to Art Unit 2100 in Tech Center 2600. The examiner has 291 resolved cases, resulting in an allowance rate of 67.4%. The median days to allowance for these cases is 1156. This record of 291 cases provides a clear baseline for prosecution strategy.

The interview lift of 14.5% indicates that interviews are a useful tool for practitioners. This lift represents an increase in the probability of allowance compared to the 67.4% baseline rate. Given the 1156-day median pendency, an interview may help to resolve issues and advance the case toward allowance.

In Art Unit 2100, the 14.5% interview lift is a factor to consider during prosecution. The 67.4% allowance rate and 1156-day median timeline are the primary metrics for setting expectations. These data points from 291 cases help practitioners plan their approach in Tech Center 2600.

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

Performance Statistics

67.4%
Allow Rate
+5.4% vs TC avg
299
Total Applications
+14.5%
Interview Lift
1156
Avg Prosecution Days
Based on 291 resolved cases, 2023–2026

Rejection Statute Breakdown

15.7%
§101 Eligibility
25.1%
§102 Novelty
35.8%
§103 Obviousness
11.3%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18861097 OPERATION METHOD OF UE RELATED TO RLF IN MULTI-PATH RELAY IN WIRELESS COMMUNICATION SYSTEM Non-Final OA LG ELECTRONICS INC.
17622924 DETERMINATION DEVICE, DETERMINATION METHOD, AND RECORDING MEDIUM Final Rejection NEC Corporation
18903177 NULL DATA PHYSICAL LAYER PROTOCOL DATA UNIT TRANSMITTING METHOD AND APPARATUS Non-Final OA HUAWEI TECHNOLOGIES CO., LTD.
18309378 COMMUNICATION METHOD AND APPARATUS FOR CONFIGURING COMMUNICATION MODE Non-Final OA HUAWEI TECHNOLOGIES CO., LTD.
18859247 USER EQUIPMENT (UE) Non-Final OA SHARP KABUSHIKI KAISHA
18036954 System and Method for Transforming a Trained Artificial Intelligence Model Into a Trustworthy Artificial Intelligence Model Non-Final OA Siemens Aktiengesellschaft

Facing This Examiner?

IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.

Build Your Strategy

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month