"Mohamed A. Mohandes"

About "Mohamed A. Mohandes"

"Mohamed A. Mohandes", With an exceptional h-index of 36 and a recent h-index of 25 (since 2020), a distinguished researcher at King Fahd University of Petroleum and Minerals, specializes in the field of Machine learning applications on:Renewable energy data analysis, Arabic sign language recognition, Siesmic data compression, Sma.

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

Offshore Windy Potential Sites Prioritization in the Gulf of South Suez

Vertical wind speed extrapolation using statistical approaches

Bagging and Voting Deep Learning Ensemble Methods for Binary Classifications of Solar Panel Cells Defects

Offshore Wind Power Resource Assessment in the Gulf of North Suez

GARM: A stochastic evolution based genetic algorithm with rewarding mechanism for wind farm layout optimization

Automatic First Arrival Picking for Seismic Data using Kalman Filter

Improving Performance of Recurrent Neural Networks Using Simulated Annealing for Vertical Wind Speed Estimation

Performance evaluation of grid-connected photovoltaic system for Kuttiady village in Kerala, India

"Mohamed A. Mohandes" Information

University

Position

Professor of Electrical Engineering

Citations(all)

5935

Citations(since 2020)

2566

Cited By

4352

hIndex(all)

36

hIndex(since 2020)

25

i10Index(all)

77

i10Index(since 2020)

60

Email

University Profile Page

King Fahd University of Petroleum and Minerals

Google Scholar

View Google Scholar Profile

"Mohamed A. Mohandes" Skills & Research Interests

Machine learning applications on:Renewable energy data analysis

Arabic sign language recognition

Siesmic data compression

Sma

Top articles of "Mohamed A. Mohandes"

Title

Journal

Author(s)

Publication Date

Offshore Windy Potential Sites Prioritization in the Gulf of South Suez

Arabian Journal for Science and Engineering

Ali Al-Shaikhi

Shafiqur Rehman

Kashif Irshad

Nasiru I Ibrahim

Mohamed A Mohandes

2024/3/9

Vertical wind speed extrapolation using statistical approaches

FME Transactions

Hilal H Nuha

Adil Balghonaim

Rizka Reza Pahlevi

S Rehman

M Mohandes

2024

Bagging and Voting Deep Learning Ensemble Methods for Binary Classifications of Solar Panel Cells Defects

H Tella

M Mohandes

A Al-Shaikhi

B Liu

S Rehman

...

2023/2/20

Offshore Wind Power Resource Assessment in the Gulf of North Suez

Sustainability

Shafiqur Rehman

Kashif Irshad

Nasiru I Ibrahim

Ali AlShaikhi

Mohamed A Mohandes

2023/10/25

GARM: A stochastic evolution based genetic algorithm with rewarding mechanism for wind farm layout optimization

FME Transactions

Mohamed Mohandes

Salman A Khan

Shafiqur Rehman

Shaikhi Ali Al

Bo Liu

...

2023

Automatic First Arrival Picking for Seismic Data using Kalman Filter

Muhammad Esmat

Bo Liu

Ali Al-Shaikhi

Sherif Hanafy

Mohamed Mohandes

...

2023/10/23

Improving Performance of Recurrent Neural Networks Using Simulated Annealing for Vertical Wind Speed Estimation

Energy Engineering

Shafiqur Rehman

Hilal H Nuha

Ali Al Shaikhi

Satria Akbar

Mohamed Mohandes

2023

Performance evaluation of grid-connected photovoltaic system for Kuttiady village in Kerala, India

Environmental Science and Pollution Research

Shafiqur Rehman

Narayanan Natarajan

Mangottiri Vasudevan

Abdul Baseer Mohammed

Mohammed A Mohandes

...

2023/9

Performance Evaluation of a Floating Photovoltaic System in Saudi Arabia

Shafiqur Rehman

Ahmad Al Muhanna

Luai M Alhems

Mohammed A Mohandes

Ali A Alshaikhi

2023/8/1

Vertical Wind Profile Estimation Using Hybrid Convolutional Neural Networks and Bidirectional Long Short-Term Memory

Arabian Journal for Science and Engineering

Ali Al-Shaikhi

Hilal H Nuha

Abdulmajid Lawal

Shafiqur Rehman

Mohamed Mohandes

2023/5

Vertical wind speed extrapolation using regularized extreme learning machine

FME Transactions

H Nuha

M Mohandes

S Rehman

2022

Vertical wind speed extrapolation model using long short‐term memory and particle swarm optimization

Energy Science & Engineering

Ali Al‐Shaikhi

Hilal Nuha

Mohamed Mohandes

Shafiqur Rehman

Monterico Adrian

2022/12

Wind speed prediction based on longshort term memory using nonlinear autoregressive neural networks

FME Transactions

Shafiqur Rehman

Umar T Salman

Mohammed A Mohandes

Sulaiman Fahad A Al

Sunday Adetona

...

2022

Wind and wind power characteristics of the eastern and southern coastal and northern inland regions, South Africa

Environmental Science and Pollution Research

Shafiqur Rehman

Narayanan Natarajan

Mohamed A Mohandes

Joshua P Meyer

Md Mahbub Alam

...

2022/12

Cleaning of photovoltaic panels utilizing the downward thrust of a drone

Energies

S Rehman

MA Mohandes

AE Hussein

LM Alhems

A Al-Shaikhi

2022/11/1

Deep learning system for defect classification of solar panel cells

H Tella

M Mohandes

B Liu

S Rehman

A Al-Shaikhi

2022/12/4

System, method and computer program product for compression of seismic data

2022/8/23

Mining and Predicting Users Clickstream Patterns from Noisy Interleaving Clicks

Abdulrahman Alamoudi

Faramarz Fekri

M Mohandes

Bo Liu

2022/12/4

Kirigami-enabled wearable health and crowd monitoring system

Arabian Journal for Science and Engineering

JP Rojas

MU Rehman

A Hussein

A E’mar

Y AlRaei

...

2022/3

Vertical Wind Speed Estimation Using Generalized Additive Model (GAM) for Regression

Hilal H Nuha

Rizka Reza Pahlevi

Mohamed Mohandes

S Rehman

A Al-Shaikhi

...

2022/12/4

See List of Professors in "Mohamed A. Mohandes" University(King Fahd University of Petroleum and Minerals)

Co-Authors

H-index: 59
Dr. Shafiqur Rehman

Dr. Shafiqur Rehman

King Fahd University of Petroleum and Minerals

H-index: 38
Faramarz Fekri

Faramarz Fekri

Georgia Institute of Technology

H-index: 24
Syed Masiur Rahman

Syed Masiur Rahman

King Fahd University of Petroleum and Minerals

H-index: 17
Bo Liu

Bo Liu

King Fahd University of Petroleum and Minerals

H-index: 12
Hilal H. Nuha

Hilal H. Nuha

Universitas Telkom

H-index: 8
Ali Al-Shaikhi

Ali Al-Shaikhi

King Fahd University of Petroleum and Minerals

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