Moline, IL, United States of America

Abram Haich

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Deere & Company. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abram Haich. Retrieved from https://idiyas.com/inventor/abram-haich

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Abram Haich: Innovator in Motor Control Systems

Introduction

Abram Haich is a notable inventor based in Moline, IL (US). He has made significant contributions to the field of motor control systems, particularly through his innovative patent related to deep learning models.

Latest Patents

Haich holds a patent for a system designed to estimate and control the temperature of electric motor windings. The patent describes a motor control system that includes a motor with multiple windings, sensors to monitor operating parameters, and memory hardware to store a machine learning model. This model is trained to generate winding temperature estimations based on the inputs from the sensors. The system utilizes processor hardware to execute instructions that control the motor based on the estimated winding temperature, ensuring optimal performance.

Career Highlights

Abram Haich is currently employed at Deere & Company, where he applies his expertise in motor control systems. His work focuses on integrating advanced technologies to enhance the efficiency and reliability of electric motors.

Collaborations

Haich collaborates with talented colleagues, including Lav Thyagarajan and Yujiang Wu, who contribute to the development of innovative solutions in motor control technology.

Conclusion

Abram Haich's contributions to the field of motor control systems exemplify the impact of innovation in technology. His patent on deep learning models for electric motor winding temperature estimation showcases his commitment to advancing engineering solutions.

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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