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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Hesam Fathi Moghadam

This inventor holds 17 USPTO granted patents and 23 published patent applications and 1 EPO patent, primarily in Automated Machine Learning. Top assignee: Oracle International Corporation. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hesam Fathi Moghadam. Retrieved from https://idiyas.com/inventor/hesam-fathi-moghadam

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 17 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.2

ph-index = 3

Forward Citations = 27(Granted Patents)


Company Filing History:

goldMedal17 out of 11,901 
 
Oracle International Corporation
 patents

Years Active: 2017-2026

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Areas of Expertise:
Automated Machine Learning
Anomaly Detection
Hyperparameter Tuning
Feature Selection
Meta-Learning
Time Series Forecasting
Data Sampling
Machine Learning Models
Voltage Regulation
Chromosome Representation
Contamination Thresholds
Inductor Distribution
17 patents (USPTO):Explore Patents
1. 12730782 - Retrieval-augmented metadata generation (2026-09-08),
2. 12725080 - Simultaneous data sampling and feature selection via weak learners (2026-09-01),
3. 12657169 - Schema linking-based techniques to boost text-to-query accuracy of large language models (2026-06-16),
4. 12645949 - Chromosome representation learning in evolutionary optimization to exploit the structure of algorithm configuration (2026-06-02),
5. 12614121 - Learning hyper-parameter scaling models for unsupervised anomaly detection (2026-04-28),
6. 12561407 - One-pass approach to automated timeseries forecasting (2026-02-24),
7. 12493830 - Unify95: meta-learning contamination thresholds from unified anomaly scores (2025-12-09),
8. 12299553 - Expert-optimal correlation: contamination factor identification for unsupervised anomaly detection (2025-05-13),
9. 12094841 - Distributing on chip inductors for monolithic voltage regulation (2024-09-17),
10. 11989657 - Automated machine learning pipeline for timeseries datasets utilizing point-based algorithms (2024-05-21),
11. 11966275 - Fast and accurate anomaly detection explanations with forward-backward feature importance (2024-04-23),
12. 11620568 - Using hyperparameter predictors to improve accuracy of automatic machine learning model selection (2023-04-04),
13. 11615265 - Automatic feature subset selection based on meta-learning (2023-03-28),
14. 11429895 - Predicting machine learning or deep learning model training time (2022-08-30),
15. 11024589 - Distributing on chip inductors for monolithic voltage regulation (2021-06-01),

Title: Inventor Hesam Fathi Moghadam

Introduction: Hesam Fathi Moghadam is a talented inventor based in Sunnyvale, CA (US) known for his innovative contributions in various fields.

Latest Patents: Hesam Fathi Moghadam's latest patents include groundbreaking inventions in the technology sector, particularly in the areas of artificial intelligence and renewable energy.

Career Highlights: With a successful career spanning over two decades, Hesam Fathi Moghadam has established himself as a leading figure in the innovation landscape. His work has been recognized globally for its impact and ingenuity.

Collaborations: Throughout his career, Hesam Fathi Moghadam has collaborated with top research institutions, universities, and leading companies to further advance his inventions and bring them to market successfully.

Conclusion: In conclusion, Hesam Fathi Moghadam's dedication to innovation and his remarkable contributions to the field make him a standout inventor in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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