Ehsan Eftekhari-Zadeh

Ehsan Eftekhari-Zadeh

Friedrich-Schiller-Universität Jena

H-index: 12

Europe-Germany

About Ehsan Eftekhari-Zadeh

Ehsan Eftekhari-Zadeh, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Friedrich-Schiller-Universität Jena, specializes in the field of Physics, Photonics.

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

Sub-0.3 volt amorphous metal WNx based NEMS switch with 8 trillion cycles

Application of MLP neural network to predict X-ray spectrum from tube voltage, filter material, and filter thickness used in medical imaging systems

An experimental and simulation study for comparison of the sensitivity of different non-destructive capacitive sensors in a stratified two-phase flow regime

Intelligent measuring of the volume fraction considering temperature changes and independent pressure variations for a two-phase homogeneous fluid using an 8-electrode sensor …

Improved artificial neural network with high precision for predicting burnout among managers and employees of start-ups during COVID-19 pandemic

Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type

A novel smart optimized capacitance-based sensor for annular two-phase flow metering with high sensitivity

Introducing the effective features using the particle swarm optimization algorithm to increase accuracy in determining the volume percentages of three-phase flows

Ehsan Eftekhari-Zadeh Information

University

Position

Institute of Optics and Quantum Electronics

Citations(all)

630

Citations(since 2020)

561

Cited By

128

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Friedrich-Schiller-Universität Jena

Google Scholar

View Google Scholar Profile

Ehsan Eftekhari-Zadeh Skills & Research Interests

Physics

Photonics

Top articles of Ehsan Eftekhari-Zadeh

Title

Journal

Author(s)

Publication Date

Sub-0.3 volt amorphous metal WNx based NEMS switch with 8 trillion cycles

Frontiers in Materials

Abdulilah Mohammad Mayet

Mohammed Abdul Muqeet

Hala H Alhashim

Fadi Kurdahi

Ehsan Eftekhari-Zadeh

2024/1/12

Application of MLP neural network to predict X-ray spectrum from tube voltage, filter material, and filter thickness used in medical imaging systems

Plos one

Jie He

Cai Zhanjian

Jiadi Zheng

Mao Shentong

Mohammad Sh Daoud

...

2023/12/7

An experimental and simulation study for comparison of the sensitivity of different non-destructive capacitive sensors in a stratified two-phase flow regime

Electronics

Mohammad Hossein Shahsavari

Aryan Veisi

Gholam Hossein Roshani

Ehsan Eftekhari-Zadeh

Ehsan Nazemi

2023/3/8

Intelligent measuring of the volume fraction considering temperature changes and independent pressure variations for a two-phase homogeneous fluid using an 8-electrode sensor …

Sensors

Ramy Mohammed Aiesh Qaisi

Farhad Fouladinia

Abdulilah Mohammad Mayet

John William Grimaldo Guerrero

Hassen Loukil

...

2023/8/5

Improved artificial neural network with high precision for predicting burnout among managers and employees of start-ups during COVID-19 pandemic

Sutrisno Sutrisno

Nurul Khairina

Rahmad BY Syah

Ehsan Eftekhari-Zadeh

Saba Amiri

2023/2/23

Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type

IEEE Access

Mustafa Al-Fayoumi

Hani Almimi

Aryan Veisi

Hussain Al-Aqrabi

Mohammad Sh Daoud

...

2023/12/5

A novel smart optimized capacitance-based sensor for annular two-phase flow metering with high sensitivity

IEEE Access

Rahmad BY Syah

Aryan Veisi

Zainal Arifin Hasibuan

Mustafa Al-Fayoumi

Mohammad Sh Daoud

...

2023/5/31

Introducing the effective features using the particle swarm optimization algorithm to increase accuracy in determining the volume percentages of three-phase flows

Processes

Tzu-Chia Chen

Seyed Mehdi Alizadeh

Marwan Ali Albahar

Mohammed Thanoon

Abdullah Alammari

...

2023/1/11

Combination of a Nondestructive Testing Method with Artificial Neural Network for Determining Thickness of Aluminum Sheets Regardless of Alloy’s Type

Electronics

Abdulilah Mohammad Mayet

Muhammad Umer Hameed Shah

Robert Hanus

Hassen Loukil

Muneer Parayangat

...

2023/11/2

Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control System

Processes

Abdulilah Mohammad Mayet

VP Thafasal Ijyas

Javed Khan Bhutto

John William Grimaldo Guerrero

Neeraj Kumar Shukla

...

2023/5/26

Experimental study of void fraction measurement using a capacitance-based sensor and ANN in two-phase annular regimes for different fluids

Axioms

Aryan Veisi

Mohammad Hossein Shahsavari

Gholam Hossein Roshani

Ehsan Eftekhari-Zadeh

Ehsan Nazemi

2023/1/7

Complex diagnostic and numerical study of x-ray and particle emissions under relativistic ultra-short laser-solid interaction

Physica Scripta

Ehsan Eftekhari-Zadeh

Robert Loetzsch

Lorenzo Manganelli

Manuel Sebastian Blümcke

Anna Tauschwitz

...

2023/10/19

An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions

Symmetry

Abdulilah Mohammad Mayet

Seyed Mehdi Alizadeh

VP Thafasal Ijyas

John William Grimaldo Guerrero

Neeraj Kumar Shukla

...

2023/5/23

The use of artificial intelligence and time characteristics in the optimization of the structure of the volumetric percentage detection system independent of the scale value …

Applied Artificial Intelligence

Tzu-Chia Chen

Abdullah M Iliyasu

Seyed Mehdi Alizadeh

Ahmed S Salama

Ehsan Eftekhari-Zadeh

...

2023/12/31

Using ANN and combined capacitive sensors to predict the void fraction for a two-phase homogeneous fluid independent of the liquid phase type

Processes

Tzu-Chia Chen

Seyed Mehdi Alizadeh

Abdullah K Alanazi

John William Grimaldo Guerrero

Hala M Abo-Dief

...

2023/3/20

Application of the Fourier Transform to Improve the Accuracy of Gamma-Based Volume Percentage Detection System Independent of Scale Thickness

Separations

Abdulilah Mohammad Mayet

John William Grimaldo Guerrero

Thafasal Ijyas

Javed Khan Bhutto

Neeraj Kumar Shukla

...

2023/10/7

Laser energy absorption and x-ray generation in nanowire arrays irradiated by relativistically intense ultra-high contrast femtosecond laser pulses

Physics of Plasmas

E Eftekhari-Zadeh

MS Blümcke

Z Samsonova

R Loetzsch

I Uschmann

...

2022/1/1

Nanosecond Living Hot and Dense Plasma and High Energy Particles from Relativistic Laser-Nanowire Interaction

Ehsan Eftekhari-Zadeh

Mikhail Gyrdymov

Parysatis Tavana

Robert Loetzsch

Ingo Uschmann

...

2022/3/21

Application of Wavelet Characteristics and GMDH Neural Networks for Precise Estimation of Oil Product Types and Volume Fractions

Symmetry

Abdulilah Mohammad Mayet

Seyed Mehdi Alizadeh

Karwan Mohammad Hamakarim

Ali Awadh Al-Qahtani

Abdullah K Alanazi

...

2022/8/30

Increasing the Accuracy and Optimizing the Structure of the Scale Thickness Detection System by Extracting the Optimal Characteristics Using Wavelet Transform

Separations

Abdulilah Mohammad Mayet

Tzu-Chia Chen

Seyed Mehdi Alizadeh

Ali Awadh Al-Qahtani

Ramy Mohammed Aiesh Qaisi

...

2022/10/5

See List of Professors in Ehsan Eftekhari-Zadeh University(Friedrich-Schiller-Universität Jena)

Co-Authors

H-index: 30
Gholam Hossein Roshani

Gholam Hossein Roshani

Kermanshah University of Technology

H-index: 29
Seyed Amir Hossein Feghhi

Seyed Amir Hossein Feghhi

Shahid Beheshti University

H-index: 27
Ehsan Nazemi

Ehsan Nazemi

Universiteit Antwerpen

H-index: 9
El Mostafa Kalmoun

El Mostafa Kalmoun

Qatar University

H-index: 8
Peshawa Jamal Muhmmad Ali

Peshawa Jamal Muhmmad Ali

Koya University

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