Mohammad Yazdani-Asrami

University of Glasgow

United Kingdom

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do Bangladeshi students reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Academic Page

Research Interests

Condensed Matter Physics

100%

Hardware Engineering

80%

Superconducting Technology

100%

Superconductivity

80%

Electrical Engineering

70%

Semiconductor Physics

50%

Neuromorphic Engineering

50%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Positions1

Mohammad Yazdani-Asrami

University Name

University of Glasgow

1 year ago

Protection models for superconducting fusion magnets

No summary provided for this position.

1 year ago

Articles20

Artificial-Intelligence-Driven Model for Resistive Superconducting Fault Current Limiter in Future Electric Aircraft

Article Link

Year:

2024

Intelligent surrogate model of a high-temperature superconducting cable for reliable energy delivery: short-circuit fault performance

Article Link

Year:

2024

Enhancing the Predictive Modeling of n-Value Surfaces in Various High Temperature Superconducting Materials Using a Feed-Forward Deep Neural Network Technique

Article Link

Year:

2024

Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques

Article Link

Year:

2024

A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes

Article Link

Year:

2024

Machine learning-based model for the intelligent estimation of critical heat flux in nanofluids

Article Link

Year:

2024

Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications

Article Link

Year:

2024

Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations

Article Link

Year:

2024

Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems

Article Link

Year:

2024

Roadmap on Artificial intelligence and big data techniques for superconductivity

Article Link

Year:

2023

The TRV Improvement of Fast Circuit Breakers Using Solid-State Series Superconducting Reactor

Article Link

Year:

2023

AC Loss Analysis in Superconducting Cables Carrying Characteristic and Noncharacteristic Harmonic Currents

Article Link

Year:

2023

Artificial intelligence, machine learning, deep learning, and big data techniques for the advancements of superconducting technology: a road to smarter and intelligent superconductivity

Article Link

Year:

2023

Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications

Article Link

Year:

2023

A Fast Numerical Modeling Approach Based on Boundary Field Method for Calculating AC Losses in Superconducting Motors

Article Link

Year:

2023

Ultra-fast Surrogate Model for Magnetic Field Computation of a Superconducting Magnet Using Multi-layer Artificial Neural Networks

Article Link

Year:

2023

Role of Insulation Materials and Cryogenic Coolants on Fault Performance of MW-Scale Fault-Tolerant Current-Limiting Superconducting Transformers

Article Link

Year:

2023

A New Intelligent Estimation Method Based on the Cascade-Forward Neural Network for the Electric and Magnetic Fields in the Vicinity of the High Voltage Overhead Transmission Lines

Article Link

Year:

2023

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Article Link

Year:

2022

Artificial intelligence-based models for reconstructing the critical current and index-value surfaces of HTS tapes

Article Link

Year:

2022

Collaborators11

Stefano Diciotti

ALMA MATER STUDIORUM UNIVERSITY OF BOLOGNA

ITALY

Amir Heidary

Delft University of Technology

NETHERLANDS

Paolo Bellavista

Full Professor

University of Bologna

ITALY

Maciej Wielgosz

Assistant Professor

AGH University of Science and Technology

POLAND

Dominic Moseley

Victoria University of Wellington

NEW ZEALAND

Andrzej Skoczen

assistant professor

POLAND

Antonio Morandi

University of Bologna

ITALY

Dr Wenjuan Song

Lecturer/Assistant Professor

University of Glasgow

UNITED KINGDOM

Anabela Pronto

Universidade de Aveiro

PORTUGAL

Dimitrios Tzelepis

University Of Strathclyde

UNITED KINGDOM

Yao Wang

Assistant Professor

Clemson University

UNITED STATES

How do Bangladeshi students reach out?

Meet Kite AI