Listed by the USPTO as HADDAD, MAJD MAHER
Tech Center 4100 • Art Units: 2122 2125 2126 2128 2147 4100
This examiner grants 83% of resolved cases
HADDAD, MAJD MAHER is a USPTO patent examiner in tech center 4100 and art unit 2122. The profile contains 6 resolved cases, with an 83.3% allowance rate and a median of 1231 days to allowance. The interview lift is also 83.3%, although the small resolved-case base makes the profile a limited indicator for prosecution planning.
The leading companies are International Business Machines Corporation, Microsoft Technology Licensing, LLC, and Halliburton Energy Services Inc. The listed firms are Harrity & Harrity, LLP, Astute IP Law Group, and CHIP LAW GROUP. These names identify the principal applicant and counsel experience represented in the available record.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18104002 | METHOD OF AGGREGATING MODELS | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18398545 | FIT-FOR-BASIN CONTINUOUS MACHINE LEARNING FOR WELL INTEGRITY | Final Rejection | Schlumberger Technology Corporation |
| 18386469 | GENERATIVE MACHINE LEARNING BASED PETROPHYSICS INTERPRETATION | Final Rejection | Halliburton Energy Services, Inc. |
| 18133047 | AUTOMATIC SIGNAL CLUSTERING WITH AMBIENT SIGNALS FOR ML ANOMALY DETECTION | Final Rejection | ORACLE INTERNATIONAL CORPORATION |
| 18253859 | Machine-Learned Models for Multimodal Searching and Retrieval of Images | Non-Final OA | Google LLC |
| 18280385 | LOGICAL EXPRESSION PROCESSING DEVICE, LOGICAL EXPRESSION PROCESSING METHOD, AND LOGICAL EXPRESSION PROCESSING PROGRAM | Non-Final OA | NEC Corporation |
| 18428601 | METHOD AND DEVICE FOR FAIR FEW-SHOT CIL | Non-Final OA | Korea Advanced Institute of Science and Technology |
| 18388078 | METHOD, APPARATUS, DEVICE AND MEDIUM FOR GENERATING NEGATIVE SAMPLE PAIR FOR CONTRASTIVE LEARNING MODEL | Final Rejection | Beijing Youzhuju Network Technology Co., Ltd. |
| 17731908 | DRIFT DETECTION USING AN AUTOENCODER WITH WEIGHTED LOSS | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17517378 | GROUNDED MULTIMODAL AGENT INTERACTIONS | Final Rejection | Microsoft Technology Licensing, LLC |
| 18646009 | MACHINE LEARNING PIPELINE FOR DEPLOYING SCALABLE DISTRIBUTED SYSTEMS USING A LARGE LANGUAGE MODEL | Non-Final OA | Nokia Solutions and Networks Oy |
| 18446149 | POST-MODELING VISUALIZATION | Final Rejection | International Business Machines Corporation |
| 18194603 | DEFENSE FROM MEMBERSHIP INFERENCE ATTACKS IN TRANSFER LEARNING | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18127952 | POLYMER DISCOVERY VIA REINFORCEMENT LEARNING WITH EXPERT-DEFINED LOGICAL ACTIONS | Non-Final OA | International Business Machines Corporation |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy83.3% of resolved applications examined by Majd Maher Haddad were allowed (6 resolved cases), compared with 31.6% across Art Unit 2122 over the last five years.
This examiner's interview lift is +83.3 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Majd Maher Haddad took 1,231 days on average from filing to allowance.
Majd Maher Haddad examines applications in Art Unit 2122 in Tech Center 4100.
