Fadi Aloul

Fadi Aloul

American University of Sharjah

H-index: 38

Asia-United Arab Emirates

About Fadi Aloul

Fadi Aloul, With an exceptional h-index of 38 and a recent h-index of 25 (since 2020), a distinguished researcher at American University of Sharjah, specializes in the field of Cyber Security, Internet of Things, Mobile Applications, Innovative Education, Boolean Satisfiability and Optimization.

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

Uncertainty-aware classification of tuberculosis subtypes with machine learning techniques and probabilistic calibration

HOLISTIC APPROACH TO IOT SECURITY: TACKLING CHALLENGES AND ENSURING PROTECTION

Evaluating multimodal wearable sensors for quantifying affective states and depression with neural networks

Security Analysis of a Digital Twin Framework Using Probabilistic Model Checking

Explainable Machine Learning for Vitamin A Deficiency Classification in Schoolchildren

Investigating the feasibility of assessing depression severity and valence-arousal with wearable sensors using discrete wavelet transforms and machine learning

Detecting Replay Attack on Voice-Controlled Systems using Small Neural Networks

A Survey of Machine Learning Approaches for Detecting Depression Using Smartphone Data

Fadi Aloul Information

University

Position

Professor of Computer Engineering UAE

Citations(all)

6725

Citations(since 2020)

3043

Cited By

4840

hIndex(all)

38

hIndex(since 2020)

25

i10Index(all)

78

i10Index(since 2020)

44

Email

University Profile Page

American University of Sharjah

Google Scholar

View Google Scholar Profile

Fadi Aloul Skills & Research Interests

Cyber Security

Internet of Things

Mobile Applications

Innovative Education

Boolean Satisfiability and Optimization

Top articles of Fadi Aloul

Title

Journal

Author(s)

Publication Date

Uncertainty-aware classification of tuberculosis subtypes with machine learning techniques and probabilistic calibration

AIP Conference Proceedings

Jayroop Ramesh

Zahra Solatidehkordi

Donthi Sankalpa

Amar Khamis

Assim Sagahyroon

...

2024/3/5

HOLISTIC APPROACH TO IOT SECURITY: TACKLING CHALLENGES AND ENSURING PROTECTION

Interdisciplinary Journal of Engineering and Environmental Sciences

R Mahmoud

T Yousuf

F Aloul

I Zualkernan

2023/8/22

Evaluating multimodal wearable sensors for quantifying affective states and depression with neural networks

IEEE Sensors Journal

Abdullah Ahmed

Jayroop Ramesh

Sandipan Ganguly

Raafat Aburukba

Assim Sagahyroon

...

2023/8/11

Security Analysis of a Digital Twin Framework Using Probabilistic Model Checking

IEEE Access

Eman Shaikh

Abdul-Rahman Al-Ali

Shahabuddin Muhammad

Nazeeruddin Mohammad

F Aloul

2023/3/14

Explainable Machine Learning for Vitamin A Deficiency Classification in Schoolchildren

Jayroop Ramesh

Donthi Sankalpa

Amar Khamis

Assim Sagahyroon

Fadi Aloul

2022/9/27

Investigating the feasibility of assessing depression severity and valence-arousal with wearable sensors using discrete wavelet transforms and machine learning

Information

Abdullah Ahmed

Jayroop Ramesh

Sandipan Ganguly

Raafat Aburukba

Assim Sagahyroon

...

2022/8/27

Detecting Replay Attack on Voice-Controlled Systems using Small Neural Networks

Nadeen Ahmed

Jowaria Khan

Nouran Sheta

Rahma Tarek

Imran Zualkernan

...

2022/8/24

A Survey of Machine Learning Approaches for Detecting Depression Using Smartphone Data

Zahra Solatidehkordi

Jayroop Ramesh

Michel Pasquier

Assim Sagahyroon

Fadi Aloul

2022/7/28

Intrusion Detection for CAN Using Deep Learning Techniques

Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021

Fadi Aloul

2022/2/1

FPGA realizations of chaotic epidemic and disease models including Covid-19

IEEE Access

M Elnawawy

F Aloul

A Sagahyroon

AS Elwakil

Wafaa S Sayed

...

2021/1/28

A machine learning approach to predicting diabetes complications

Healthcare

Yazan Jian

Michel Pasquier

Assim Sagahyroon

Fadi Aloul

2021/12/9

Predicting hospital no-shows using machine learning

Tasneem Batool

Mostafa Abuelnoor

Omar El Boutari

Fadi Aloul

Assim Sagahyroon

2021/1/27

Using Machine Learning to Predict Diabetes Complications

Yazan Jian

Michel Pasquier

Assim Sagahyroon

Fadi Aloul

2021/12/8

Optimization of Energy Consumption in Cloud Computing Datacenters

International Journal of Electrical & Computer Engineering (2088-8708)

Ahmed Osman

Assim Sagahyroon

Raafat Aburukba

Fadi Aloul

2021/2/1

Smart Monitoring System for Stroke Rehabilitation

Mais Al Atallah

Zainab Jamil

Hania Khafagy

Mehnaz Ummar

Fadi Aloul

...

2021/11/23

Towards validating the effectiveness of obstructive sleep apnea classification from electronic health records using machine learning

Healthcare

Jayroop Ramesh

Niha Keeran

Assim Sagahyroon

Fadi Aloul

2021/10/27

Network intrusion detection on the IoT edge using adversarial autoencoders

Fadi Aloul

Imran Zualkernan

Nada Abdalgawad

Lana Hussain

Dara Sakhnini

2021/7/14

Generative deep learning to detect cyberattacks for the IoT-23 dataset

IEEE Access

Nada Abdalgawad

A Sajun

Y Kaddoura

Imran A Zualkernan

F Aloul

2021/12/31

A monitoring and control gateway for iot edge devices in smart home

Fadi Aloul

Imran Zualkernan

Shams Shapsough

Mohammed Towheed

2020/1/7

Little genius: An experiment in internet of tangible learning things

Imran A Zualkernan

Fadi Aloul

Eilaf Algebail

Mohamed El Refaay

Abdulkarim Ali

...

2020/7/6

See List of Professors in Fadi Aloul University(American University of Sharjah)

Co-Authors

H-index: 89
Nasir Memon

Nasir Memon

New York University

H-index: 59
Rob A. Rutenbar

Rob A. Rutenbar

University of Pittsburgh

H-index: 52
Ahmed S. Elwakil

Ahmed S. Elwakil

University of Sharjah

H-index: 33
"A. R. Al-Ali"

"A. R. Al-Ali"

American University of Sharjah

H-index: 32
Wassim El-Hajj

Wassim El-Hajj

American University of Beirut

H-index: 29
Nagarajan Kandasamy

Nagarajan Kandasamy

Drexel University

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