Vahid Samavatian

About Vahid Samavatian

Vahid Samavatian, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Sharif University of Technology, specializes in the field of Machine Learning in Materials Science, Power Electronic, Reliability, Math Engineering.

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

Integrating impulse excitation technique and machine learning to analyze elastic moduli in surface coatings

Estimation of compressive strength of cement mortars using impulse excitation technique and a genetic algorithm

Bayesian machine learning-aided approach bridges between dynamic elasticity and compressive strength in the cement-based mortars

Development of a High-Gain Step-Up DC/DC Power Converter with Magnetic Coupling for Low-Voltage Renewable Energy

Thermomechanical fatigue damage model of a solder joint in electronic devices: an interval arithmetic based approach

A highly reliable low-cost single-switch resonant dc–dc converter with high gain and low component count

Characterization of nanoscale structural heterogeneity in metallic glasses: a machine learning study

Iterative machine learning-aided framework bridges between fatigue and creep damages in solder interconnections

Vahid Samavatian Information

University

Position

___

Citations(all)

812

Citations(since 2020)

721

Cited By

361

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

Sharif University of Technology

Google Scholar

View Google Scholar Profile

Vahid Samavatian Skills & Research Interests

Machine Learning in Materials Science

Power Electronic

Reliability

Math Engineering

Top articles of Vahid Samavatian

Title

Journal

Author(s)

Publication Date

Integrating impulse excitation technique and machine learning to analyze elastic moduli in surface coatings

European Journal of Mechanics-A/Solids

ZhongJie Shen

Majid Samavatian

Vahid Samavatian

2024/5/1

Estimation of compressive strength of cement mortars using impulse excitation technique and a genetic algorithm

Advances in Cement Research

Muftah Mohamed Baroud

Arif Sari

Sherzod Shukhratovich Abdullaev

Majid Samavatian

Vahid Samavatian

2023/8/9

Bayesian machine learning-aided approach bridges between dynamic elasticity and compressive strength in the cement-based mortars

Materials Today Communications

Ning Wang

Majid Samavatian

Vahid Samavatian

Haijun Sun

2023/6/1

Development of a High-Gain Step-Up DC/DC Power Converter with Magnetic Coupling for Low-Voltage Renewable Energy

IEEE Access

Ruihong Du

Vahid Samavatian

Majid Samavatian

Tomas Gono

Michał Jasiński

2023/8/21

Thermomechanical fatigue damage model of a solder joint in electronic devices: an interval arithmetic based approach

Journal of Electronic Materials

Vahid Samavatian

Hossein Iman-Eini

Yvan Avenas

Majid Samavatian

2022/9

A highly reliable low-cost single-switch resonant dc–dc converter with high gain and low component count

IEEE Transactions on Industrial Electronics

Pouyan Pourhadi Abkenar

Mohammad Hamed Samimi

Alinaghi Marzoughi

Vahid Samavatian

Hossein Iman-Eini

...

2022/4/15

Characterization of nanoscale structural heterogeneity in metallic glasses: a machine learning study

Journal of Non-crystalline Solids

Majid Samavatian

Reza Gholamipour

Dmitry Olegovich Bokov

Wanich Suksatan

Vahid Samavatian

...

2022/2/15

Iterative machine learning-aided framework bridges between fatigue and creep damages in solder interconnections

IEEE Transactions on Components, Packaging and Manufacturing Technology

Vahid Samavatian

Mahmud Fotuhi-Firuzabad

Majid Samavatian

Payman Dehghanian

Frede Blaabjerg

2021/12/20

Reliability Modeling of Multistate Degraded Power Electronic Converters with Simultaneous Exposure to Dependent Competing Failure Processes

IEEE Access

Vahid Samavatian

Mahmud Fotuhi-Firuzabad

Payman Dehghanian

Frede Blaabjerg

2021/4/27

Discovery of novel quaternary bulk metallic glasses using a developed correlation-based neural network approach

Computational Materials Science

Majid Samavatian

Reza Gholamipour

Vahid Samavatian

2021

Reliability Assessment of Multistate Degraded Systems: An Application to Power Electronic Systems

IEEE Transactions on Power Electronics

Vahid Samavatian

Hossein Imaneini

Yvan Avenas

2020/4

Energy management for a grid-connected PV-inverter with a novel power loss mitigation functionality in distributed networks

Computers & Electrical Engineering

Jingyan Li

Vahid Samavatian

2020/10/1

Correlation-driven machine learning for accelerated reliability assessment of solder joints in electronics

Scientific reports

Vahid Samavatian

Mahmud Fotuhi-Firuzabad

Majid Samavatian

Payman Dehghanian

Frede Blaabjerg

2020/9/9

Effects of Creep Failure Mechanisms on Thermo-mechanical Reliability of Solder Joints in Power Semiconductors

IEEE Transactions on Power Electronics

Vahid Samavatian

Hossein Iman-Eini

Yvan Avenas

Majid Samavatian

2020/9

Reliability Enhancement of a power semiconductor with optimized solder layer thickness

IEEE Transactions on Power Electronics

R Elakkiya

G Kavithaa

Vahid Samavatian

K Alhaifi

Alireza Kokabi

...

2020/6

Inherent relation between atomic-level stresses and nanoscale heterogeneity in Zr-based bulk metallic glass under a rejuvenation process

Physica B: Condensed Matter

Majid Samavatian

Reza Gholamipour

Ahmad Ali Amadeh

Vahid Samavatian

2020/10/15

Dynamic enhancement of interleaved step-up/step-down DC–DC converters using passive damping networks

Journal of Power Electronics

E Geetha

M Maddah

M Mansouri Khosravi

A Kokabi

V Samavatian

2020/5

Improving the reliability of ball grid arrays under random vibration by optimization of module design

Mechanics of Advanced Materials and Structures

Alireza Kokabi

Majid Samavatian

Reza Hojati-Najafabadi

Lubov K Ilyashenko

Vahid Samavatian

2020/10/15

See List of Professors in Vahid Samavatian University(Sharif University of Technology)

Co-Authors

H-index: 197
Frede Blaabjerg

Frede Blaabjerg

Aalborg Universitet

H-index: 80
Mahmud Fotuhi-Firuzabad, IEEE Fellow

Mahmud Fotuhi-Firuzabad, IEEE Fellow

Sharif University of Technology

H-index: 37
Hossein Iman-Eini

Hossein Iman-Eini

University of Tehran

H-index: 25
Avenas Yvan

Avenas Yvan

Grenoble INP

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