Troy, OH, United States of America

Fadi Mohammad Alsaleem

This inventor holds 22 USPTO granted patents, plus 2 CIPO patents and 7 EPO patents, primarily in HVAC Diagnostics. Top assignees: Emerson Climate Technologies Gmbh, Emerson Electric Company, The Board of Regents of the University of Nebraska. Active years: 2016-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fadi Mohammad Alsaleem. Retrieved from https://idiyas.com/inventor/fadi-mohammad-alsaleem

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


% Patents Active = 95.5

 

 

Average Co-Inventor Count = 1.5

ph-index = 7

Forward Citations = 171(Granted Patents)


Location History:

  • Troy, OH (US) (2016 - 2020)
  • Omaha, NE (US) (2019 - 2021)
  • Andover, KS (US) (2019 - 2022)
  • Lincoln, NE (US) (2022 - 2023)

Company Filing History:


Years Active: 2016-2025

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Areas of Expertise:
Artificial Intelligence
Analog Sensors
Wearable Devices
Neuromorphic Computing
Electrostatic MEMS
HVAC Monitoring
Heat Pump Systems
Air Conditioning
Charge Detection
Diagnostics
Remote Testing
Compressor Control
22 patents (USPTO):Explore Patents

Title: Fadi Mohammad Alsaleem: A Pioneer in Neuromorphic Computing and Climate Control Technologies

Introduction

Fadi Mohammad Alsaleem, based in Troy, Ohio, is a prolific inventor with an impressive portfolio of 21 patents. His innovations primarily focus on advancing neuromorphic computing and improving climate control systems. Fadi's work merges cutting-edge technology with practical applications, showcasing his dedication to enhancing both computational efficiency and user experience.

Latest Patents

Among Fadi's latest patents is a groundbreaking development in neuromorphic computing using electrostatic MEMS devices. This invention describes a continuous-time recurrent neural network (CTRNN) that utilizes the nonlinear dynamics of micro-electro-mechanical system (MEMS) devices to effectively model neuron behavior based on the neuron rate model foundational to dynamic field theory. The MEMS devices in the CTRNN are configured to simulate neuron populations, taking advantage of bi-stability and hysteresis present in certain MEMS structures. The design includes microbeam or cantilevered microbeam devices, excited with alternating current (AC) voltage at resonant frequencies.

Another significant patent involves methodologies for remotely testing climate control system controllers, like thermostats, to ensure correct configuration. This invention provides a mobile device capable of wirelessly connecting to a thermostat, sending commands that prompt the thermostat to execute climate control functions in predefined sequences. The mobile device assesses whether the thermostat accurately performs the tasks in accordance with the initial signals, ultimately determining if the thermostat is correctly configured.

Career Highlights

Fadi has gained invaluable experience working with prominent companies in the field, including Emerson Climate Technologies and Emerson Electric Company. His roles in these organizations have played a critical part in his development as an inventor and have enabled him to contribute effectively to the realm of technology and innovation.

Collaborations

Throughout his career, Fadi has collaborated with talented professionals such as Gregg M. Hemmelgarn and Priotomo Abiprojo. These partnerships have fostered an environment of creativity and collaboration, driving further advancements in their respective fields.

Conclusion

Fadi Mohammad Alsaleem stands out as a leading innovator in neuromorphic computing and climate control technologies. Through his numerous patents and impactful contributions, he continues to shape the landscape of technological advancements, underscoring the significant role of inventors in creating practical solutions for modern challenges.

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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