Fadi Alsaleem

Fadi Alsaleem

University of Nebraska-Lincoln

H-index: 21

North America-United States

About Fadi Alsaleem

Fadi Alsaleem, With an exceptional h-index of 21 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Nebraska-Lincoln, specializes in the field of MEMS, neuromorphic, IoT, HVAC, Smart Building.

His recent articles reflect a diverse array of research interests and contributions to the field:

Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation

Neuromorphic computing using electrostatic MEMS devices

Energy efficient integrated MEMS neural network for simultaneous sensing and computing

A Threshold Helium Leakage Detection Switch with Ultra Low Power Operation

Theoretical and Experimental Investigation of Using Multi-Degree of Freedom Electrostatically Actuated Micro-Structures in Performing Classification Problems

Sensors as Neural Computing Units

Quan tifying changes in bicycle volumes using crowdsourced dat a

Machine learning-based peripheral artery disease identification using laboratory-based gait data

Fadi Alsaleem Information

University

Position

___

Citations(all)

2053

Citations(since 2020)

1095

Cited By

1460

hIndex(all)

21

hIndex(since 2020)

18

i10Index(all)

32

i10Index(since 2020)

26

Email

University Profile Page

University of Nebraska-Lincoln

Google Scholar

View Google Scholar Profile

Fadi Alsaleem Skills & Research Interests

MEMS

neuromorphic

IoT

HVAC

Smart Building

Top articles of Fadi Alsaleem

Title

Journal

Author(s)

Publication Date

Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation

Scientific reports

Mohammad Ali Takallou

Farahnaz Fallahtafti

Mahdi Hassan

Ali Al-Ramini

Basheer Qolomany

...

2024/1/11

Neuromorphic computing using electrostatic MEMS devices

2023/7/11

Energy efficient integrated MEMS neural network for simultaneous sensing and computing

Communications Engineering

Hamed Nikfarjam

Mohammad Megdadi

Mohammad Okour

Siavash Pourkamali

Fadi Alsaleem

2023/4/29

A Threshold Helium Leakage Detection Switch with Ultra Low Power Operation

Sensors

Sulaiman Mohaidat

Fadi Alsaleem

2023/4/15

Theoretical and Experimental Investigation of Using Multi-Degree of Freedom Electrostatically Actuated Micro-Structures in Performing Classification Problems

IEEE Sensors Journal

Hamed Nikfarjam

Mohammad Megdadi

Mohammad Okour

Siavash Pourkamali

Fadi Alsaleem

2023/4/13

Sensors as Neural Computing Units

Fadi Alsaleem

Mahammad H Hasan

Hamed Nikfarjam

Siavash Pourkamali

2023/1/1

Quan tifying changes in bicycle volumes using crowdsourced dat a

Environment and Planning B: Urban Analytics and City Science

Ali Al-Ramini

Mohammad A Takallou

Daniel P Piatkowski

Fadi Alsaleem

2022/7

Machine learning-based peripheral artery disease identification using laboratory-based gait data

Sensors

Ali Al-Ramini

Mahdi Hassan

Farahnaz Fallahtafti

Mohammad Ali Takallou

Hafizur Rahman

...

2022/9

Remotely testing whether a climate control system controller is correctly installed

2022/6/21

Near Zero Power Smart Material that Senses, Computes, and Actuates

Fadi Alsaleem

Hamed Nikfarjam

Mohammad Megdadi

Mohammad Okour

Siavash Pourkamali

2022/9/16

Artificial intelligence-based analog sensors and wearable devices incorporating the same

2022/2/10

A Small MEMS Neural Network to Classify Human Sitting and Standing Activities

Mohammad Okour

Mohammad Megdadi

Hamed Nikfarjam

Siavash Pourkamali

Fadi Alsaleem

2022/8/14

A Three Degree of Freedom Model Approach to Enable a MEMS-Based Neural Computing Unit

Mohammad Megdadi

Hamed Nikfarjam

Mohammad Okour

Siavash Pourkamali

Fadi Alsaleem

2022/8/14

Novel MEMS Capacitive Sensor Excited at Electrical Resonance for Detecting Helium Based on Changes in Air Electrical Properties

Sulaiman Mohaidat

Fadi Alsaleem

2022/8/14

A Threshold Helium Leakage Detection Switch for Dry Cask Nuclear Storage System Applications

Available at SSRN 4281679

Sulaiman Mohaidat

Fadi Alsaleem

2022/11/19

Low charge detection system for cooling systems

2021/8/10

Exploiting pull-in/pull-out hysteresis in electrostatic MEMS sensor networks to realize a novel sensing continuous-time recurrent neural network

Micromachines

Mohammad H Hasan

Amin Abbasalipour

Hamed Nikfarjam

Siavash Pourkamali

Muhammad Emad-Ud-Din

...

2021/3/5

Superheat prediction & fault diagnostics of HVAC from simple temperature measurements using big data approach

Mehari Tesfay

Fadi Alsaleem

Kevin Sinkar

Parthiban Arunasalam

2021

Signal classification using a mechanically coupled MEMS neural network

Hamed Nikfarjam

Amin Abbasalipour

Mehari K Tesfay

Mohammad H Hasan

Siavash Pourkamali

...

2021

Simulation for a mems-based CTRNN ultra-low power implementation of human activity recognition

Frontiers in Digital Health

Muhammad Emad-Ud-Din

Mohammad H Hasan

Roozbeh Jafari

Siavash Pourkamali

Fadi Alsaleem

2021/9/22

See List of Professors in Fadi Alsaleem University(University of Nebraska-Lincoln)

Co-Authors

H-index: 27
Hassen M. OUAKAD

Hassen M. OUAKAD

Sultan Qaboos University

H-index: 9
Mohammad H Hasan

Mohammad H Hasan

Columbus State University

H-index: 6
Mostafa Rafaie

Mostafa Rafaie

University of Nebraska-Lincoln

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