Dr Mohammad Yazdani-Asrami

Lecturer in in Electrically Powered Aircraft and Operations (Autonomous Systems & Connectivity)

email: Mohammad.Yazdani-Asrami@glasgow.ac.uk
pronouns: He/him/his

Office 607A, Level 6, James Watt South Building, University of Glasgow, Glasgow City, Scotland, United Kingdom, G12 8QQ

Biography

Dr. Mohammad Yazdani-Asrami is a "Lecturer in Electrically Powered Aircraft and Operation" at the Autonomous Systems & Connectivity (ASC) division, James Watt School of Engineering, University of Glasgow. He is with "Aerodynamics, Propulsion and Electrification" group.

He is also currently the Adviser of Studies (Aerospace) within the School for 3rd year students.

He holds a PhD in Electrical Power Engineering. He spent last decade on research and development projects related to electrical engineering including conventional and superconducting components research in different countries, including Italy, New Zealand, and the UK.

A central theme of his work is cryo-electrification: using superconducting technologies and cryogenic systems to support electrification, particularly in hydrogen-powered aircraft. His research addresses interactions between superconducting propulsion, electrical protection, cooling requirements and system performance. His wider interests include fusion magnet protection, space propulsion, photovoltaic systems, resilient inverters, cybersecurity, fuel cells, electrolysers and battery technologies. Across these applications, he investigates degradation, ageing, fatigue, lifetime prediction, fault detection and prognostic health management.

Artificial intelligence is an integral part of this programme. He develops and applies machine learning, deep learning, physics-informed methods and surrogate models to support materials characterisation, design optimisation and condition monitoring. His research includes intelligent quench detection, prediction of superconducting losses, modelling of hydrogen technologies and assessment of cable health. The aim is to combine engineering knowledge with data to accelerate analysis and support dependable decisions throughout the life of electrical components and systems.

He authored/co-authored more than 200 papers for workshops, conferences, and research journals.

https://scholar.google.com/citations?hl=en&user=DZRbdRwAAAAJ&view_op=list_works&sortby=pubdate

His contributions to the international community include leading the 2023 roadmap on artificial intelligence and big data techniques for superconductivity. Bringing together 40 researchers from 25 institutions, the initiative examined opportunities spanning materials, manufacturing, modelling, protection and operation. He also contributes to collaborative reviews and research roadmaps and delivered a plenary presentation on artificial intelligence for superconducting magnets at MT29 in 2025. He also contributed to the 2026 roadmap on electrification of transportation systems enabled by superconducting technology with more than 50 authors across the world to outline how next 10 years look like in terms of implementation and commercialisation of superconducting technology for transportation electrification.

In 2021, he endorsed by the UK Royal Academy of Engineering as Global Talent.

In 2023, he has been selected as Young Professional of the Year by Cryogenic Society of America.

He is a member of the Royal Academy of Engineering review team, EPSRC Peer Review College, Senior member of IEEE (SMIEEE), member of IET (MIET), member of CIGRE, member of British Cryogenic Council (MBCC), and member of Cryogenic Society of America (MCSA).

He is an editor at Superconductor Science and Technology (IOP Publishing), World Journal of Engineering (Emerald Publishing), Aerospace Systems (Springer), International Journal of Aeronautical and Space Sciences (Springer), Superconductivity (Elsevier), Cryo (MDPI) and Transformers Magazine (TM). He also served as guest editor for several special issues in "IEEE Transactions on Applied Superconductivity" and "Superconductor Science and Technology" journals.

For more updated info about his research, please check the LinkedIn profile here:

https://www.linkedin.com/in/mohammad-yazdani-asrami-b91928100/

For knowing more about cryo-electrification follow my Twitter, @YazdaniAsrami: https://twitter.com/YazdaniAsrami

Research interests

My research brings together applied superconductivity, hydrogen technology, cryogenic engineering, electrical engineering and artificial intelligence to develop efficient, lightweight and reliable technologies for SUSTAINABLE aerospace, energy and power system. I combine experimental characterisation, Multiphysics modelling and data-driven methods to connect materials behaviour with component design and system performance.

My expertise and research interests include but not limited to:

Electrification and cryo-electrification of power and energy systems, and transportation system, including hydrogen-powered aircraft, wind renewable energy, fusion magnets.
Design development and fabrication of conventional and superconducting components for future transportation applications especially aviation, including electric machines, cables, and fault current limiters.
Use of artificial intelligence, machine learning, deep learning, and big data techniques for engineering applications, physics, and applied superconductivity.
Hydrogen electrolysis and production, transportation, storage, consumption in aerospace and energy network.
Renewable energy systems, including Photovoltaic (PV) systems, solar energy, wind turbines and energy, and electric devices and converters related to them
AI/ML/DL for cyber-security in electrical and energy systems
Life cycle assessment and analysis of different engineering components and systems

My work combines finite element analysis, equivalent circuit modelling, numerical optimisation, electrical measurements and cryogenic experimentation with AI-assisted engineering. Across these areas, I am interested in how technologies can be designed for reliable operation throughout their service life, considering performance, protection, maintainability and environmental impact.

I welcome collaboration with academic researchers, industry partners and prospective doctoral students on superconductivity, sustainable aviation, fusion, hydrogen, renewable energy and intelligent electrical systems. I am particularly interested in projects that connect materials and device research with experimental validation and practical engineering applications.

My research interests and expertise span the following interconnected areas:

Superconducting technologies and cryogenic engineering

Design, modelling, optimisation and testing of high-temperature superconducting (HTS) and MgB₂ devices, including electric motors, generators, transformers, power cables, fault current limiters, magnets and flux pumps.
Critical current characterisation, AC losses, electromagnetic–thermal behaviour, cryogenic heat transfer, cooling requirements and electrical insulation.
Performance and reliability of superconducting components under realistic operating conditions and electrical faults.

Electric and hydrogen-powered aviation and sustainable space propulsion

Electrification and cryo-electrification of aircraft, combining superconducting power systems with hydrogen technologies.
Superconducting propulsion motors, power distribution, fault protection and thermal management for aircraft electrical powertrains.
Component and system-level modelling to investigate efficiency, power density, weight, safety and reliability.
Digital twins and intelligent monitoring for future aviation systems.
Superconducting technologies, flux pumps and magnet modelling for applied-field magnetoplasmadynamic thrusters and electric space propulsion.
AI-based intelligent modelling of applied-field magnetoplasmadynamic and hall thrusters

Artificial intelligence for materials and engineering

Machine learning, deep learning, physics-informed AI and explainable models for superconducting materials, electrical components and energy systems.
Fast surrogate models for computationally intensive electromagnetic, thermal and Multiphysics simulations.
Materials characterisation, critical current prediction, design optimisation and experimental data analysis.
Integration of physical knowledge and data-driven methods to improve model reliability and support engineering decisions.

Diagnostics, prognostics and lifetime assessment

Quench detection, electrical fault diagnosis and protection of superconducting coils, cables, magnets and machines.
Condition monitoring, predictive maintenance and prognostic health management of electrical and energy assets.
Degradation, ageing, damage accumulation and remaining useful life estimation.
Digital twins and intelligent monitoring methods for assessing component health and supporting maintenance planning.

Hydrogen technologies and energy systems

Modelling and performance assessment of hydrogen electrolysers and fuel cells.
AI-assisted diagnosis, degradation analysis and lifetime prediction for hydrogen production and conversion technologies.
Liquid-hydrogen storage, heat transfer and thermal management, including its use as a fuel and cryogenic coolant.
Integration of hydrogen technologies with aviation and renewable energy systems.

Fusion energy

Superconducting magnet technologies for fusion applications, with particular interests in quench detection, protection and reliable operation.
Radio-frequency sensing and machine learning approaches for monitoring superconducting fusion magnets.
Superconducting technologies, flux pumps and superconducting switch for magnet charging.

Renewable energy, power electronics and resilient electrical systems

Photovoltaic systems, power electronic converters, inverter technologies and electrical drives.
Resilient and circular inverter design, intelligent control, fault diagnosis and cybersecurity for electrical energy systems.
Superconducting cables and transformers for power networks and offshore renewable energy applications.
Battery technologies, charging systems and their integration with electrical infrastructure.

For more information about his research interests, please check the following webpage:

"Aerodynamics, Propulsion and Electrification"

Publications

List by: Type | Date

Jump to: 2026 | 2025 | 2024 | 2023 | 2022 | 2021 | 2020

Number of items: 97.

2026

Bai, Yuechen, Jiang, Zhenan, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2026) Improved equivalent circuit model of HTS dynamo based on integrating a feature on frequency dependency of critical current. IEEE Transactions on Applied Superconductivity, 36(7), (doi: 10.1109/TASC.2026.3667720)

Smith, Kerr ORCID: https://orcid.org/0009-0009-6995-4164, Sadeghi, Alireza, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, McGookin, Euan ORCID: https://orcid.org/0000-0002-1262-190X and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2026) Machine learning-based estimation of ripple losses in high temperature superconductors for cryo-electric aviation applications. IEEE Transactions on Applied Superconductivity, 36(7), pp. 1-12. (doi: 10.1109/TASC.2026.3665130)

Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Wu, Yahao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Grilli, Francesco (2026) Explainable machine learning for surrogate modelling towards the optimization of multi-pulse field magnetization in HTS bulks. IEEE Transactions on Applied Superconductivity, (doi: 10.1109/TASC.2026.3735227) (Early Online Publication)

Saha, S., Bonab, S. A. ORCID: https://orcid.org/0009-0002-8316-4336, Kermansaravi, A., Song, W. ORCID: https://orcid.org/0000-0001-8003-7038, Vahedi, H. and Yazdani-Asrami, M. ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Characteristic-aware invertible neural networks for explainable estimation of operational parameters for proton exchange membrane fuel cells. IEEE Open Journal of the Industrial Electronics Society, (doi: 10.1109/OJIES.2026.3732516) (Early Online Publication)

Wu, Yahao, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Fang, Lurui and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Large language models for applied superconductivity: towards physics-aware reasoning and integrated multi-modal generative AI. Superconductor Science and Technology, 39(9), 091001. (doi: 10.1088/1361-6668/ae9df9)

Lei, Yu, Khodakaramzadeh, Shadi, Kermansaravi, Azadeh, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Vahedi, Hani (2026) Control Penalty Design for Reinforcement Learning Based Control of Single-Phase Full-Bridge Inverter. In: 52nd Annual Conference of the IEEE Industrial Electronics Society (IECON 2026), Doha, Qatar, 18-21 Oct 2026, (Accepted for Publication)

Ardestani, Masoud, Murta‑Pina, João, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and de Oliveira, Roberto A.H. (2026) Multiobjective Optimization of Air-Core HTS Pancake Coils Using Machine-Learning Surrogate and Sobol Assisted-PSO for Air-Core HTS Coil Design. IEEE Transactions on Applied Superconductivity, 36(5), (doi: 10.1109/TASC.2026.3689848)

Bai, Yuechen, Russo, Giacomo, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Rosa Morales, Miguel ORCID: https://orcid.org/0009-0001-6336-6363, Fabbri, Massimo, Marzocchi, Tommaso, Minucci, Simone, Morandi, Antonio and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Intelligent design optimisation of an HTS Flux pump for a superconducting magnet in applied field-magnetoplasmadynamic thruster. IEEE Transactions on Applied Superconductivity, 36(5), 3601807. (doi: 10.1109/TASC.2026.3702604)

Encarnação-Gregório, Fábio, Murta-Pina, João, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Pires, Vitor Fernão, Álvarez-García, Alfredo, Rivera, Belén, Velaz, José-Ángel, Oliveira Santos, Bárbara Maria and dos Santos, Gabriel (2026) Characterization and testing of a multiphase superconducting axial machine for electric aircraft. IEEE Transactions on Applied Superconductivity, 36(5), pp. 1-6. (doi: 10.1109/TASC.2026.3666495)

Spina, T. et al. (2026) CABLEGNOSIS project: ageing studies on insulating materials and superconducting wires for cable applications. IEEE Transactions on Applied Superconductivity, 36(5), pp. 1-5. (doi: 10.1109/TASC.2026.3660644)

Ward Taylor, Regan Solomon, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Black box and interpretable artificial intelligence models for hydrogen uptake across various metal-organic frameworks. Algorithms, 19(8), 640. (doi: 10.3390/a19080640)

Wu, Yahao, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Machine learning prediction for experimental quench voltage of HTS coils using a combined framework with time-series generative adversarial network and long short-term memory techniques. IEEE Transactions on Applied Superconductivity, 36(5), 4701105. (doi: 10.1109/TASC.2025.3646171)

Song, W. et al. (2026) Roadmap to electrification of transportation systems enabled by superconducting technology. Superconductor Science and Technology, (doi: 10.1088/1361-6668/ae8b31) (In Press)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Abdolahi, Mohsen, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Flynn, David ORCID: https://orcid.org/0000-0002-1024-3618 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Intelligent Safety Monitoring of Self-Pressurised Liquid Hydrogen Tanks for Future Cryo-Electric Aircraft Concept. European Safety and Reliability Conference (ESREL 2026), Braga, Portugal, 14-19 June 2026.

Abdolahi, Mohsen, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Flynn, David ORCID: https://orcid.org/0000-0002-1024-3618 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Reliability and Ageing Assessment of XLPE Power Cables Using Bayesian Neural Network. In: European Safety and Reliability Conference (ESREL 2026), Braga, Portugal, 14-19 June 2026, pp. 3344-3351. ISBN 978-981-94-6718-1

Waite, Thomas, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Abdolahi, Mohsen, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Flynn, David ORCID: https://orcid.org/0000-0002-1024-3618 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Theory-Guided Data-Driven Prediction of PEMEC Degradation and Durability for Reliable Green Hydrogen Production. In: European Safety and Reliability Conference (ESREL 2026), Braga, Portugal, 14-19 June 2026, pp. 3729-3736. ISBN 978-981-94-6718-1

Ross, Robert, Graaf, Aart-Jan de, Zuijderduin, Roy, Bruzek, Christian-Eric, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Spina, Tiziana and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2026) Requirements for Feasibility of Superconducting Cables as studied in the CableGnosis Project. In: CIGRE Paris Session 2026, Paris, France, 23-28 Aug 2026, (Accepted for Publication)

Huang, Yizhao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2026) A fast and adaptive LSTM-based surrogate model for predicting limitation performance of SFCLs in electric aircraft systems. IEEE Transactions on Applied Superconductivity, (doi: 10.1109/TASC.2026.3673790) (Early Online Publication)

Abdolahi, Mohsen, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Intelligent condition monitoring of power cables using advanced machine learning models. Results in Engineering, 29, 108371. (doi: 10.1016/j.rineng.2025.108371)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Waite, Thomas and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Artificially intelligent framework for multi-output performance prediction in diverse solid oxide electrolyzer cells for green hydrogen production plants. Journal of Physics: Energy, 8(1), 015006. (doi: 10.1088/2515-7655/ae1e2a)

Rosa-Morales, Miguel ORCID: https://orcid.org/0009-0001-6336-6363, Ravichandran, Matthew, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Physically interpretable and AI-powered applied-field thrust modelling for magnetoplasmadynamic space thrusters using symbolic regression: towards more explainable predictions. Aerospace, 13(3), 245. (doi: 10.3390/aerospace13030245)

Saha, Souparna, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Estimation of the performance parameters for a direct methanol fuel cell with Fe–N–C cathodes using gradient boost models. Journal of Physics: Energy, 8(1), 015012. (doi: 10.1088/2515-7655/ae1e29)

Wu, Yahao, Fang, Lurui, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Wu, Yue, Jiang, Zhenan and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) First artificial intelligence-based non-invasive framework for data-driven kink defect detection in HTS coils for power applications. Superconductivity, 17, 100242. (doi: 10.1016/j.supcon.2026.100242)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Berg, Frederick, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Colle, Alexander and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) AC loss prediction of HTS propulsion motors using convolutional neural network-based surrogate model for system-level modelling of electric aircraft. IEEE Transactions on Applied Superconductivity, (doi: 10.1109/TASC.2026.3665169)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2026) Artificial neural networks for explainable thrust prediction in applied-field magnetoplasmadynamic thrusters. CEAS Space Journal, (doi: 10.1007/s12567-026-00705-3) (Early Online Publication)

2025

Wu, Yahao, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Physics-guided quench detection framework for HTS coils based on augmentation of artificial quench data: a comprehensive benchmarking investigation on 75 different machine learning and dimensionality reduction techniques. Superconductor Science and Technology, 38(12), 125023. (doi: 10.1088/1361-6668/ae26d7)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Jiang, Zhenan and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Physics-constrained deep learning framework for accurate AC loss prediction of high-temperature superconductors: Impact of data scarcity and extrapolation beyond the range of experimental measurements. Superconductor Science and Technology, 38(12), 12LT01. (doi: 10.1088/1361-6668/ae2162)

Ford, Oliver, Bonab, Shahin Alipour and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Artificial intelligence-aided liquid hydrogen tank modelling for sustainable aviation. Energy Reports, 14, pp. 4609-4623. (doi: 10.1016/j.egyr.2025.11.054)

Abdolahi, Mohsen, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) ML-Assisted Ageing Classification of XLPE Power Cables Using an Adaptive Neuro-Fuzzy Inference System. In: 2025 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Manchester, United Kingdom, 14-17 September 2025, pp. 888-891. ISBN 9798331589028 (doi: 10.1109/CEIDP61707.2025.11218561)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Wu, Yahao, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Intelligent estimation of critical current density of ReBCO superconductors exposed to irradiations for fusion energy applications: first machine learning study. Superconductor Science and Technology, 38, 09LT01. (doi: 10.1088/1361-6668/ae011e)

Huang, Yizhao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2025) A deep learning-based ultra-fast surrogate model for AC loss estimation in superconductors using COMSOL. IEEE Access, (doi: 10.1109/ACCESS.2025.3603953) (Early Online Publication)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Physics-informed neural network model for transient thermal analysis of superconductors. Superconductor Science and Technology, 38, 08LT01. (doi: 10.1088/1361-6668/adf3eb)

Waite, Thomas and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Degradation modeling of polymer electrolyte membrane water electrolyzers for hydrogen production: motivation, status, and strategies. Journal of Physics: Energy, 7(4), 042002. (doi: 10.1088/2515-7655/ade9f0)

Yan, Dedao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2025) Fast-recovery superconducting fault current limiter based on a novel skeleton topology for future cryo-electric aircraft: reclosing and repetitive fault cases. IEEE Transactions on Applied Superconductivity, (doi: 10.1109/tasc.2025.3587754) (Early Online Publication)

Waite, Thomas and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Degradation modelling of polymer electrolyte membrane water electrolyzers for hydrogen production: motivation, status, and strategies. Journal of Physics: Energy, 7, 042002. (doi: 10.1088/2515-7655/ade9f0)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Artificial Intelligence for Superconducting Magnets: Towards Smarter Magnet Technology. 29th International Conference on Magnet Technology (MT29), Boston, MA, USA, 01-06 Jul 2025.

Ardestani, Masoud, Murta-Pina, João, Sparacio, Simone, de Oliveira, Roberto A.H. and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Investigation of the Impact of Geometrical and Operational Parameters on AC Transport Losses in HTS Pancake Coils Using Extensive FEM Simulations and Regression Analysis: Insights into Design Acceleration. In: 16th IFIP WG 5.5 / SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS 2025), Caparica, Portugal, 02-04 Jul 2025, pp. 364-378. ISBN 9783031970504 (doi: 10.1007/978-3-031-97051-1_26)

Encarnação-Gregório, Fábio, Murta-Pina, João, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Fernão Pires, Vitor (2025) Control of a Multiphase Superconducting Axial Machine Drive for Electric Aircraft. In: 16th IFIP WG 5.5 / SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS 2025), Caparica, Portugal, 02-04 Jul 2025, pp. 352-363. ISBN 9783031970504 (doi: 10.1007/978-3-031-97051-1_25)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models. Machine Learning: Science and Technology, 6(2), 025050. (doi: 10.1088/2632-2153/addb06)

Wu, Yahao, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Advanced intelligent quench diagnostics for high temperature superconducting coils based on principal component analysis of voltage harmonic ratios and Support Vector Machine. Superconductivity, 14, 100173. (doi: 10.1016/j.supcon.2025.100173)

Waite, Thomas, Sadeghi, Alireza and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Artificial intelligence models for predicting the performance of proton exchange membrane water electrolyzers under steady and dynamic power. Journal of Physics: Energy, 7(3), 035013. (doi: 10.1088/2515-7655/add95e)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Xing, Yiteng, Bernstein, Pierre, Noudem, Jacques and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Intelligent predictor model for critical current density of MgB2 Superconducting Bulks. Superconductor Science and Technology, 38(5), 055009. (doi: 10.1088/1361-6668/adc8de)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Enhancing Thrust Prediction for AF-MPDTs using XGBoost Machine Learning Technique. 21st PEGASUS Student Conference, Prague, Czech Republic, 23-25 Apr 2025.

Gregório-Encarnação, Fábio, Murta-Pina, João, Vilhena, Nuno, Santos, Guilherme, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Oliveira, Roberto, Fernão Pires, Vitor and Granados, Xavier (2025) Preliminary assessment of a highly flexible HTS drive for electric aircraft. IEEE Transactions on Applied Superconductivity, (doi: 10.1109/TASC.2025.3548617) (Early Online Publication)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Berg, Frederick, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Colle, Alexandre and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Advanced deep-learning model for temporal-dependent prediction of dynamic behavior of AC losses in superconducting propulsion motors for hydrogen-powered cryo-electric aircraft. Communications Engineering, 4(1), 221. (doi: 10.1038/s44172-025-00554-8) (PMID:41407868) (PMCID:PMC12738581)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Sadeghi, Alireza and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Artificial Intelligence-based surrogate model for computation of the electric field of high voltage transmission line ceramic insulator with Corona ring. World Journal of Engineering, 22(3), pp. 458-471. (doi: 10.1108/WJE-11-2023-0478)

2024

Russo, Giacomo, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Fabbri, Massimo and Morandi, Antonio (2024) Intelligent and application-oriented optimal design of travelling field flux pumps. IEEE Transactions on Applied Superconductivity, 35(5), (doi: 10.1109/TASC.2024.3509405)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Waite, Thomas, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Flynn, David ORCID: https://orcid.org/0000-0002-1024-3618 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry. Energy Reports, 12, pp. 2270-2282. (doi: 10.1016/j.egyr.2024.08.028)

Yan, Dedao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2024) Comparative study on the impact of different E-J relations on the performance of resistive superconducting fault current limiters under high and low impedance faults in cryo-electric aircraft. Physica C: Superconductivity and its Applications, 625, 1354576. (doi: 10.1016/j.physc.2024.1354576)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Artificial intelligence-based model to predict the heat transfer coefficient in flow boiling of liquid hydrogen as fuel and cryogenic coolant in future hydrogen-powered cryo-electric aviation. Fuel, 381(A), 133323. (doi: 10.1016/j.fuel.2024.133323)

Yan, Dedao, Sadeghi, Alireza, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2024) Artificial Intelligence-driven model for resistive superconducting fault current limiter in future electric aircraft. IEEE Transactions on Applied Superconductivity, 34(7), 5601616. (doi: 10.1109/TASC.2024.3421903)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique. International Journal of Hydrogen Energy, 84, pp. 468-479. (doi: 10.1016/j.ijhydene.2024.08.257)

Sadeghi, Alireza, Morandi, Antonio and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Electromagnetic, cooling, and strain-based multi-objective optimization of superconducting magnetic energy storage unit for power grid applications. Journal of Energy Storage, 97(B), 112917. (doi: 10.1016/j.est.2024.112917)

Sadeghi, Alireza, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Intelligent Diagnostics of Internal Faults in High Temperature Superconducting Cables. Applied Superconductivity Conference 2024 (ACS 2024), Salt Lake City, Utah, USA, 02-06 Sep 2024.

Sadeghi, Alireza, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Intelligent surrogate model of a high temperature superconducting cable for reliable energy delivery: short circuit fault performance. Superconductor Science and Technology, 37(8), 085025. (doi: 10.1088/1361-6668/ad59d0)

Sadeghi, Alireza, Bellavista, Paolo, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Digital twins for condition and fleet monitoring of aircraft: toward more-intelligent electrified aviation systems. IEEE Access, 12, 99806 -99832. (doi: 10.1109/ACCESS.2024.3371902)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Enhancing the predictive modeling of n-value surfaces in various high temperature superconducting materials using a feed-forward deep neural network technique. Crystals, 14(7), 619. (doi: 10.3390/cryst14070619)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Xing, Yiteng, Russo, Giacomo, Fabbri, Massimo, Morandi, Antonio, Bernstein, Pierre, Noudem, Jacques and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques. Superconductor Science and Technology, 37(7), 075008. (doi: 10.1088/1361-6668/ad4e77)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Russo, Giacomo, Morandi, Antonio and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes. Machine Learning: Science and Technology, 5(2), 025040. (doi: 10.1088/2632-2153/ad45b1)

Sadeghi, Alireza, Morandi, Antonio and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Feasibility of high temperature superconducting cables for energy harvesting in large space-based solar power satellite applications: electromagnetic, thermal and cost considerations. Energy Reports, 11, pp. 4523-4536. (doi: 10.1016/j.egyr.2024.04.023)

Alipour Bonab, Shahin and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Machine learning-based model for the intelligent estimation of critical heat flux in nanofluids. Nano Express, 5, 025012. (doi: 10.1088/2632-959X/ad461d)

Sadeghi, Alireza, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Superconducting transformers for power, energy, and transportation applications: an introduction to superconducting technology for transformer engineer. Transformers Magazine, 11(SE), pp. 10-22.

Sadeghi, Alireza, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications. Materials Today Physics, 42, 101365. (doi: 10.1016/j.mtphys.2024.101365)

Sadeghi, Alireza, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations. Superconductivity, 9, 100085. (doi: 10.1016/j.supcon.2024.100085)

Yan, Dedao, Sadeghi, Alireza, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2024) AI-Driven Surrogate Model for Superconducting Fault Current Limiter in Electricfied Aircraft Systems. Applied Superconductivity Conference 2024, Salt Lake City, Utah, USA, 2-6 September 2024.

2023

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (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. Applied Sciences, 13(20), 11180. (doi: 10.3390/app132011180)

Yazdani-Asrami, M. et al. (2023) Roadmap on Artificial Intelligence and Machine/Deep Learning Techniques for Applied Superconductivity. 16th European Conference on Applied Superconductivity (EUCAS 2023), Bologna, Italy, 03-07 Sep 2023.

Sadeghi, Alireza, Seyyedbarzegar, Seyyedmeysam and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2023) AC loss analysis in superconducting cables carrying characteristic and non-characteristic harmonic currents. IEEE Transactions on Applied Superconductivity, 33(6), 5401510. (doi: 10.1109/tasc.2023.3263930)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2023) Artificial intelligence, machine learning, deep learning, and big data techniques for the advancements of superconducting technology: a road to smarter and intelligent superconductivity. Superconductor Science and Technology, 36(8), 084001. (doi: 10.1088/1361-6668/ace385)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Fang, Lurui, Pei, Xiaoze and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2023) Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications. Superconductor Science and Technology, 36(8), 085021. (doi: 10.1088/1361-6668/ace3fb)

Heidary, Amir, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Hesami, Morteza and Sood, Vijay (2023) The TRV improvement of fast circuit breakers using solid-state series superconducting reactor. IEEE Transactions on Power Delivery, 38(2), pp. 1259-1266. (doi: 10.1109/TPWRD.2022.3211778)

Wang, Yuan, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Fang, Jin (2023) A fast numerical modelling approach based on boundary field method for calculating AC losses in superconducting motors. IEEE Transactions on Applied Superconductivity, 33(3), 5200906. (doi: 10.1109/TASC.2023.3245039)

Yazdani-Asrami, M. et al. (2023) Roadmap on artificial intelligence and big data techniques for superconductivity. Superconductor Science and Technology, 36(4), 043501. (doi: 10.1088/1361-6668/acbb34)

Suresh, Nitish Varma Ulchi, Sadeghi, Alireza and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2023) Critical current parameterization of high temperature superconducting tapes: a novel approach based on fuzzy logic. Superconductivity, 5, 100036. (doi: 10.1016/j.supcon.2023.100036)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Sadeghi, Alireza and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2023) Ultra-fast surrogate model for magnetic field computation of a superconducting magnet using multi-layer artificial neural networks. Journal of Superconductivity and Novel Magnetism, 36(2), pp. 575-586. (doi: 10.1007/s10948-022-06479-z)

Sadeghi, Alireza, Xu, Zhihui, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2023) Intelligent probability estimation of quenches caused by weak points in high-temperature superconducting tapes. Energies, 16(1), 193. (doi: 10.3390/en16010193)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Sadeghi, Alireza, Seyyedbarzegar, Seyyedmeysam and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2023) Role of insulation materials and cryogenic coolants on fault performance of MW-scale fault-tolerant current-limiting superconducting transformers. IEEE Transactions on Applied Superconductivity, 33(1), 5500215. (doi: 10.1109/TASC.2022.3217967)

2022

Sadeghi, Alireza and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2022) Multi-objective optimization for improving weight and fault characteristic of a DC HTS cable in cryo-electric aircraft. Aerospace, 9(12), 753. (doi: 10.3390/aerospace9120753)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Sadeghi, Alireza, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Madureira, Ana, Murta-Pina, João, Morandi, Antonio and Parizh, Michael (2022) Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring. Superconductor Science and Technology, 35(12), 123001. (doi: 10.1088/1361-6668/ac80d8)

Sadeghi, Alireza, Seyyedbarzegar, Seyyedmeysam and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2022) Investigation on the electrothermal performance of a high temperature superconducting cable in an offshore wind farm integrated power system: fault and islanding conditions. IEEE Transactions on Applied Superconductivity, 32(8), 5401011. (doi: 10.1109/TASC.2022.3196770)

Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Pei, Xiaoze, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Xi, Jiawen (2022) Modelling and Simulation of Superconducting Fault Current Limiter for Electric Aircraft. Applied Superconductivity Conference 2022 (ACS 2022), Honolulu, USA, 23-28 Oct 2022.

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Sadeghi, Alireza, Seyyedbarzegar, Seyyedmeysam and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2022) DC electro-magneto-mechanical characterisation of 2G HTS tapes for superconducting cable in magnet system using artificial neural networks. IEEE Transactions on Applied Superconductivity, 32(7), 4605810. (doi: 10.1109/TASC.2022.3193782)

Mahamed, Mahdi, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Behjat, Vahid, Yazdani, Akbar and Sharifzadeh, Mojtaba (2022) Impact of perlator on the cooling liquid flow and hottest point temperature of superconducting windings in HTS transformer. Superconductivity, 3, 100021. (doi: 10.1016/j.supcon.2022.100021)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Sadeghi, Alireza and Atrey, Milind D. (2022) Selecting a cryogenic cooling system for superconducting machines: general considerations for electric machine designers and engineers. International Journal of Refrigeration, 140, pp. 70-81. (doi: 10.1016/j.ijrefrig.2022.05.003)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Seyyedbarzegar, Seyyed Meysam, Sadeghi, Alireza, Batista de Sousa, Wescley Tiago and Kottonau, Dustin (2022) High temperature superconducting cables and their performance against short circuit faults: current development, challenges, solutions, and future trends. Superconductor Science and Technology, 35(8), 083002. (doi: 10.1088/1361-6668/ac7ae2)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Sadeghi, Alireza, Seyyedbarzegar, Seyyed Meysam and Saadat, Amirhossein (2022) Advanced experimental-based data-driven model for the electromechanical behavior of twisted YBCO tapes considering thermomagnetic constraints. Superconductor Science and Technology, 35, 054004. (doi: 10.1088/1361-6668/ac57be)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Seyyedbarzegar, Seyyed Meysam, Zhang, Min and Yuan, Weijia (2022) Insulation materials and systems for superconducting powertrain devices in future cryo-electrified aircraft: Part I—material challenges and specifications, and device-level application. IEEE Electrical Insulation Magazine, 38(2), pp. 23-36. (doi: 10.1109/MEI.2022.9716211)

Tamaskani, Rohollah, Khodsuz, Masume and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2022) Optimal design of C-type filter in harmonics polluted distribution systems. Energies, 15(4), 1587. (doi: 10.3390/en15041587)

Sadeghi, A., Seyyed Barzegar, S. M. and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2022) A simple and fast computation equivalent circuit model to investigate effect of tape twisting on AC loss of HTS cables. Engineering, Technology and Applied Science Research, 12(1), pp. 8168-8174. (doi: 10.48084/etasr.4382)

Russo, Giacomo, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Scheda, Riccardo, Morandi, Antonio and Diciotti, Stefano (2022) Artificial intelligence-based models for reconstructing the critical current and index-value surfaces of HTS tapes. Superconductor Science and Technology, 35(12), 124002. (doi: 10.1088/1361-6668/ac95d6)

Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Jiang, Zhenan, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Staines, Mike, Badcock, Rodney and Fang, Jin (2022) Role of flux diverters in reducing AC loss in a single-phase 6.5 MVA HTS traction transformer for Chinese high-speed train carrying high-order harmonic currents. IEEE Access, 10, pp. 69650-69658. (doi: 10.1109/ACCESS.2022.3186858)

2021

Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Pei, Xiaoze, Alafnan, Hamoud, Xi, Jiawen, Zeng, Xianwu, Yazdani Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Xiang, Bin and Liu, Zhiyuan (2021) Experimental and simulation study for resistive helical HTS fault current limiter: quench and recovery characteristics. IEEE Transactions on Applied Superconductivity, 31(5), 5601106. (doi: 10.1109/TASC.2021.3061958)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Zhang, Min, Yuan, Weijia and Pei, Xiaoze (2021) AC transport loss in superconductors carrying harmonic current with different phase angles for large scale power components. IEEE Transactions on Applied Superconductivity, 31(1), 5900205. (doi: 10.1109/TASC.2020.3020025)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Zhang, Min, Yuan, Weijia and Pei, Xiaoze (2021) Magnetization loss in HTS coated conductor exposed to harmonic external magnetic fields for superconducting rotating machines. IEEE Access, 9, pp. 77930-77937. (doi: 10.1109/ACCESS.2021.3062278)

2020

Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Pei, Xiaoze, Zeng, Xianwu, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Fang, Xinyu, Fang, Jin and Jiang, Zhenan (2020) AC losses in noninductive SFCL solenoidal coils wound by parallel conductors. IEEE Transactions on Applied Superconductivity, 30(8), 5602509. (doi: 10.1109/TASC.2020.3021339)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Pei, Xiaoze, Zhang, Min and Yuan, Weijia (2020) AC loss characterization of HTS pancake and solenoid coils carrying nonsinusoidal currents. IEEE Transactions on Applied Superconductivity, 30(5), 5900709. (doi: 10.1109/TASC.2020.2971840)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Taghipour-Gorjikolaie, Mehran, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Zhang, Min and Yuan, Weijia (2020) Prediction of nonsinusoidal AC loss of superconducting tapes using artificial intelligence-based models. IEEE Access, 8, pp. 207287-207297. (doi: 10.1109/ACCESS.2020.3037685)

This list was generated on Thu Oct 1 19:52:54 2026 BST.

Jump to: Articles | Conference or Workshop Item | Conference Proceedings

Number of items: 97.

Articles

Song, W. et al. (2026) Roadmap to electrification of transportation systems enabled by superconducting technology. Superconductor Science and Technology, (doi: 10.1088/1361-6668/ae8b31) (In Press)

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models. Machine Learning: Science and Technology, 6(2), 025050. (doi: 10.1088/2632-2153/addb06)

Sadeghi, Alireza, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Intelligent surrogate model of a high temperature superconducting cable for reliable energy delivery: short circuit fault performance. Superconductor Science and Technology, 37(8), 085025. (doi: 10.1088/1361-6668/ad59d0)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Enhancing the predictive modeling of n-value surfaces in various high temperature superconducting materials using a feed-forward deep neural network technique. Crystals, 14(7), 619. (doi: 10.3390/cryst14070619)

Sadeghi, Alireza, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2024) Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations. Superconductivity, 9, 100085. (doi: 10.1016/j.supcon.2024.100085)

Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (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. Applied Sciences, 13(20), 11180. (doi: 10.3390/app132011180)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Sadeghi, Alireza, Seyyedbarzegar, Seyyedmeysam and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2022) DC electro-magneto-mechanical characterisation of 2G HTS tapes for superconducting cable in magnet system using artificial neural networks. IEEE Transactions on Applied Superconductivity, 32(7), 4605810. (doi: 10.1109/TASC.2022.3193782)

Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485, Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038, Zhang, Min, Yuan, Weijia and Pei, Xiaoze (2021) Magnetization loss in HTS coated conductor exposed to harmonic external magnetic fields for superconducting rotating machines. IEEE Access, 9, pp. 77930-77937. (doi: 10.1109/ACCESS.2021.3062278)

Conference or Workshop Item

Pinaffo Almeida, Tarik, Alipour Bonab, Shahin ORCID: https://orcid.org/0009-0002-8316-4336 and Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 (2025) Enhancing Thrust Prediction for AF-MPDTs using XGBoost Machine Learning Technique. 21st PEGASUS Student Conference, Prague, Czech Republic, 23-25 Apr 2025.

Yan, Dedao, Sadeghi, Alireza, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038 (2024) AI-Driven Surrogate Model for Superconducting Fault Current Limiter in Electricfied Aircraft Systems. Applied Superconductivity Conference 2024, Salt Lake City, Utah, USA, 2-6 September 2024.

Conference Proceedings

This list was generated on Thu Oct 1 19:52:54 2026 BST.

Grants

Prototyping Critical Safety Component for the Electrification of Aircraft, EPSRC IAA (in collaboration with Airbus UpNext), 45.1k GBP, 2023-2025. (Co-I)

AI-Cryoloss, EPSRC IAA (in collaboration with Airbus SAS, and Airbus UpNext), 50k GBP, 2024-2025. (PI)
Enabling protective superconducting device for hydrogen-powered electrified aircraft powertrain, EPSRC IAA (in collaboration with Airbus UpNext), 33.5k GBP, 2026-2026. (Co-I)

CABLEGNOSIS, EU Horizon, 6m Euro, 2024-2027. (PI)

PhD studentship in collaboration with UKAEA, 75k GBP, 2025-2029. (PI)

PiVot, EU Horizon, 6m Euro, 2026-2029. (PI)

LHyME, Innovate UK (via UK ATI), 45m GBP, 2026-2028. (PI)

Hy-DETAILS, EU MSCA Doctoral Network, 4.5m Euro, 2027-2030. (PI)

Supervision

Open for highly motivated PhD candidates (UK/international): contact me if you think you are one.

Research environment and supervision

I supervise my PGR/PhD students based on values, principles, responsibilities, and standards of conduct set by University of Glasgow. For my PGR supervision, I provide research ideas, expert academic guidance, meet them regularly, and give timely, constructive, expert feedback to support steady progress and on-time completion. Depending on the project, research may involve numerical simulation, AI development, electrical measurements, cryogenic testing and collaboration with academic or industrial partners.

I foster a respectful, inclusive, and professional research environment while being supportive of their wellbeing. I responsibly monitor research milestones, ensure research integrity, and ethics, to guarantee high quality of research outcomes and outputs. I carefully and consistently support the student’s wider development, including skills training, career planning, and engagement with the research community. I not only supervise my students' research but also mentor them toward developing professional mindset.

Applicant background

I welcome enquiries from prospective PhD students and postgraduate researchers (including those interested in MSc by Research) interested in superconductivity, cryogenic engineering, artificial intelligence and sustainable electrical technologies. I am particularly interested in research that combines physical understanding, computational modelling and experimental validation to address challenges in aerospace, energy and power sectors.

Applicants may come from electrical or electronic engineering, aerospace engineering, mechanical engineering, physics, materials science, applied mathematics or computer science. Relevant experience in programming, numerical modelling, machine learning or experimental research is welcome. Applicants are not expected to have expertise in every area; however, a strong academic foundation, curiosity and willingness to develop new skills are important. I want candidates who are committed to go beyond their comfort zone.

Potential research topics

Projects can be developed around the following themes, with the scope tailored to the applicant’s background, research interests and available funding:

Superconducting technologies for fully electric, more-electric, and hydrogen-powered aviation
Power electronics, energy storage, and power back up for AI data centres
Protection of superconducting fusion magnets
Superconductivity for renewable energy and power networks
Digital twins, diagnostics and lifetime prediction
Fuel cells, electrolysers, and hydrogen technologies for sustainable energy
Resilient power electronics for photovoltaic and wind energy systems
AI for superconducting materials and devices
Superconducting technologies for space propulsion
Battery technologies and charging systems

I also welcome original research proposals that connect these themes or introduce complementary approaches.

The topics above indicate potential research directions rather than a list of funded vacancies. Project availability depends on supervisory capacity, facilities and funding. I welcome enquiries about advertised studentships, external scholarships, sponsored research and self-funded study.
My current PhD students are listed below:

Abdolahi, Mohsen
Predictive maintenance, ageing and lifetime monitoring of superconducting cables in modern power network
Alipour Bonab, Shahin
Design optimisation and loss analysis of superconducting rotating machines using data-driven techniques
BAI, Yuechen
Modelling and Optimization of Superconducting Flux Pumps
Hoseini Berneti, Seyed Amirhosein
Resilient and Circular Power Electronic Inverters for Photovoltaic Systems in Modern Smart Grids
Huang, Yizhao
Digital twin for superconducting fault current limiter
Khan, Asheak Arman
Superconducting Transformers for Offshore Renewable Energy Systems
Pinaffo Almeida, Tarik
Protection of high-temperature superconducting fusion magnets using RF technology and machine learning techniques
Rosa Morales, Miguel
Superconductivity in Applied Field Magnetoplasmadynamic Thrusters for Aerospace Propulsion Applications
Sadeghi, Alireza
Fault Tolerant Current Limiting Superconducting Cable for Cryo-Electrified Systems
Smith, Kerr
Loss Management for Superconducting Motors in Cryo-Electric Aircraft Propulsion using Artificial Intelligence Techniques
Umeed, Areeb
Characterisation and Modelling of Microelectromechanical Systems (MEMS) Sensor for Reliable Operation of High Temperature Superconducting Components
Wu, Yahao
Intelligent quench detection of superconducting systems
Yan, Dedao
Protection Solutions of Electrified Aircraft System by Superconducting Fault Current Limiter

External PGR/PhD Supervision:

1. Mr. Fábio Gregório (Universidade NOVA de Lisboa, Portugal): A Highly Flexible Superconducting Electromechanical Drive to Enable Aircraft Electrification - 2024-2027. (co-supervisor)

2. Mr. Seyed Masoud Ardestani (Universidade NOVA de Lisboa, Portugal): A Data-Drive Approach for the Calculation of AC Losses in Superconducting Devices - 2024-2027. (co-supervisor)

Visiting PGR/PhD student:

1. Mr. Giacomo Russo (University of Bologna, Italy): Critical current surface reconstruction for High Temperature Superconducting tapes using Artificial Intelligence techniques - 2022

2. Mr. Giacomo Russo (University of Bologna, Italy): Artificial Intelligence techniques for intelligent designs of flux pumps - 2023

3. Mr. Fábio Gregório (Universidade NOVA de Lisboa, Portugal): A Highly Flexible Superconducting Electromechanical Drive to Enable Aircraft Electrification - 2024

Accepting PhD and PGR students:

I welcome enquiries from prospective PhD and MRes applicants. My group works across applied superconductivity, cryogenic power electronics, electrified aviation, energy systems and AI-enabled diagnostics. Students with a background in engineering, physics, applied mathematics, material science, or computational science are welcomed. Good Coding ability and familiarity with AI techniques are highly preferred.

To discuss a potential project, please email Mohammad.Yazdani-Asrami@glasgow.ac.uk with:

Your CV, including relevant technical skills, research experience and publications, where applicable.
A brief description of your research interests or proposed topic.
Your academic background and qualifications.
Your intended start date and funding position, including any scholarship you plan to pursue.

A fully developed proposal is not required for an initial enquiry, but please explain how your interests connect with my research. If you hold or are applying for an external scholarship, please mention its requirements and deadlines.

Accepting Marie Skłodowska-Curie Actions Postdoctoral Fellowships

Please send your full CV (including latest publications) as well as an outline for your proposed topic to my email.

Accepting visiting researchers for the period of 6 months to 1 year

Please send your full CV (including latest publications) as well as an intention letter to outline your proposed visit plan to my email.

Funding opportunities for PhD students:

Scholarship from School of Engineering, University of Glasgow and and EPSRC funds:
https://www.gla.ac.uk/schools/engineering/phdopportunities/
CSC scholarship for Chinese students:
https://www.gla.ac.uk/scholarships/thechinascholarshipcouncil/
Mary Gibb Dunlop Scholarships:
https://www.gla.ac.uk/schools/engineering/phdopportunities/

Fellowships for Postdocs/Visiting Researchers:

EPSRC Fellowships
Marie Skłodowska-Curie actions - Research Fellowship
CSC postgraduate scholarship
The Leverhulme Trust Early Career Fellowships
Royal Academy of Engineering Fellowships
British Academy Postdoctoral Fellowships
Newton International Fellowships

Teaching

My teaching connects electrical engineering principles with applications in power electronics, energy storage and sustainable aviation.

I am committed to develop students’ technical understanding, analytical thinking and confidence in solving engineering problems. My teaching connects physical principles with modelling, experimental evidence and practical applications, encouraging students to examine assumptions and evaluate engineering trade-offs.

Where appropriate, I bring current research and industrial perspectives into teaching through examples from electric aircraft, electrical machines, power conversion and battery systems. Guest contributions from industry help students understand how their learning relates to professional practice and emerging technologies.

As Head of Power Lab, I contribute to the safe and effective operation of electrical and power engineering laboratories, working with academic and technical colleagues to support practical learning and good experimental practice.

As Advisor of Studies for Aeronautical Engineering students, I provide guidance on academic progress and course choices, offer pastoral support and help students access specialist University services when needed.

Advisor of Studies:

4th Year Aero students (2026-2027)
3rd Year Aero students (2025-2026)
2nd Year Aero students (2024-2025)

Undergraduate courses:

ENG4187: Power Electronics & Drives 4 (Course coordinator and sole lecturer)

https://www.gla.ac.uk/coursecatalogue/course/?code=ENG4187

ENG4205: Introduction to Battery Technology 4 (Course coordinator and lecturer)

https://www.gla.ac.uk/coursecatalogue/course/?code=ENG4205

ENG5341: Aircraft Development 5 (Course lecturer support)

https://www.gla.ac.uk/coursecatalogue/course/?code=ENG5341

MSc course:

ENG5292: Power Electronics & Drives M (Course coordinator and sole lecturer)

https://www.gla.ac.uk/coursecatalogue/course/?code=ENG5292

Previous (before Glasgow University) teaching and educational contributions

My earlier teaching experience includes electrical machines, transformers, induction and synchronous machines, special electrical machines, industrial electronics, power electronics and optimisation methods. I have also taught practical electrical machine laboratories and introductory electrical engineering for mechanical engineering students.

In the past, I contributed to the development of specialist training materials on superconductivity, hydrogen technologies, cryo-electrification and electrical machines for future aircraft. Across these activities, my aim is to help students build a strong engineering foundation and develop the skills needed for further study, research and professional practice.

Additional information

1. Professional & learned societies:

Senior Member (SMIEEE), Institute of Electrical and Electronics Engineers (IEEE) - It is the world's largest technical professional organisation.
Member (MIET), Institution of Engineering and Technology (IET)
Member (MInstP), Institute of Physics (IOP)
Member, Cryogenic Society of America (CSA)

2. Conference Organisation, Technical Programme Committee Membership and Session Chairs:

The 18th European Conference on Applied Superconductivity (EUCAS) 2027. (TPC committee, session chair)
The 12th European Conference for AeroSpace Sciences (EUCASS) 2027, Glasgow, Scotland, UK. (Organising Committee, TPC committee, session chair)
The International Conference on Transport Electrification and Energy Storage (ICTEES) 2026, Cardiff, UK. (Organising Committee, Publication chair)
The CEAS–AIDAA 2025 Joint Conference (the 28th AIDAA International Congress and 10th CEAS Aerospace Europe Conference) 2025, Turin, Italy. (Organising committee)
The 17th European Conference on Applied Superconductivity (EUCAS) 2025, Porto, Portugal. (TPC committee, session chair)
The 26th Applied Superconductivity Conference (ASC) 2024, Salt Lake City, USA. (TPC committee)
The 32nd IEEE International Symposium on Industrial Electronics (ISIE) 2023, Helsinki, Finland. (TPC committee)
The 16th European Conference on Applied Superconductivity (EUCAS) 2023, Bologna, Italy. (TPC committee, session chair)
The UK Fluids Conference 2023, Glasgow, Scotland, UK. (organisation committee, session chair)
The IEEE International Power Engineering and Optimization Conference (PEOCO) 2012, Malacca, Malaysia. (TPC committee)

3. University Service:

Member of Engineering Student Recruitment Committee/Working Group (2023-present)
Aero Open Day Coordinator (2023-present)
Advisor of Studies (2024-present)
Aero Academic Liaison with Royal Aeronautical Society (RAeS), Prestwick Branch (2023-present)

4. Honors and Awards:

Shortlisted for "Best Research Supervisor" in "Student Teaching Awards" of University of Glasgow Students’ Representative Council, 2026.
Shortlisted for "Best Research Supervisor" in "Student Teaching Awards" of University of Glasgow Students’ Representative Council, 2025.
Selected/recognition as "Young Professional of the Year” of Cryogenic Society of America, 2023.
Global Talent endorsement by "Royal Academy of Engineering", 2021.
"IOP trusted reviewer status" award by Institute of Physics (IOP), 2021.

5. Professional Activities

Member of management team/board:
- Member of Board of Directors in Jet Perfect Ltd, USA
- Consulting Centre on Superconductivity Applications Coordinator (COST Action)
Editorial board of journals and magazines:
- Superconductor Science and Technology journal, IOP publishing
- Superconductivity journal, Elsevier
- Cryo journal, MDPI
- International Journal of Aeronautical and Space Sciences journal, Springer
- Aerospace Systems journal, Springer
- World Journal of Engineering, Emerald Publishing
- Advanced Superconductivity (AS)
- International Journal of Power Electronics and Drive Systems (IJPEDS)
- Engineering, Technology and Applied Science Research Journal (ETASR)
- Frontier Energy System and Power Engineering (FESPE)
- Transformer Magazines (TM)
Member of guest editorial board of special issues and sessions in journals and conferences:
- "Machine Learning and Data-driven Methods for Superconductors". July 2024 – January 2025
- "Artificial Intelligence for Superconductivity" special session in 16th European Conference on Applied Superconductivity (EUCAS2023), Italy. March 2023 – Dec 2023
- "Superconductivity for Cryo-Electrification of Aviation and Other Transportation Applications" special focus issue in journal of "Superconductor Science and Technology". July 2022 – June 2023
- "Artificial Intelligence for Large Scale Power Applications" special session in Applied Superconductivity Conference (ASC2022), USA. March 2022 – Dec 2022
- "MT27" special issue in IEEE Transaction of Applied Superconductivity. Nov 2021 – May 2022
- "Artificial intelligence and big data for superconductivity" special focus issue in journal of "Superconductor Science and Technology". March 2021 – March 2022
- "ASC2020" special issue in IEEE Transaction of Applied Superconductivity. Nov 2020 – May 2021
- "Superconductivity" special issue in Transformer Magazine. Nov 2020 – May 2021
- "Power Substation" special issue in Transformer Magazine. Jan 2019 – May 2019
Member of scientific programme or organisation committees in conferences:
- Conference Scientific Committee member for ASC2024, EUCAS2025, EUCAS 2027
- Session Chair in top international conferences, EUCAS 2023, EUCAS 2025
- Organising committee member, UK Fluid Conference, UKFC2023, 09.2022-10.2023
- Panelist speaker for many events, including “Enabling the transition to Net Zero”, co-organsed by IOP in 2024.
- Being an invited guest judge for Manchester Energy and Electrical Power System Symposium 2021: Power Systems in a Post-Pandemic Era (MEEPS 2021)

6. Selected presentations and talks

"Artificial Intelligence for Superconducting Magnets: Towards Smarter Magnet Technology" Plenary talk in “29th Magnet Technology” Boston, USA- July 2025

"Fast Artificial Intelligence-based Model for Applied Superconductivity in Cryo-Electric Aircraft Systems" Invited talk in “EFATS2023: 3rd Workshop Emissions Free Air Transport thru Superconductivity” Bristol, UK - October 2023

"Artificial intelligence and machine/deep learning techniques for applied superconductivity" Invited talk in “European Applied Superconductivity 2023” Bologna, Italy - September 2023

"New opportunities that Hydrogen unlocks for green electric aviation" Invited talk in “Hydrogen and the Sustainable Aviation Ecosystem” event by ADS Scotland - August 2022

"Artificial Intelligence techniques for superconductivity" Invited talk in Victoria University of Wellington, New Zealand - June 2021

"Artificial Intelligence opportunities for applied superconductivity" Joint Seminar of the UK Applied Superconductivity Seminar Series and European Society of Applied Superconductivity - February 2021

"Large scale applied superconductivity for electric aircraft applications" National School of Superconductivity and its applications (NSAS2021) - February 2021

"Harmonic impacts for AC loss on HTS transformers and machines" UK Applied Superconductivity Seminar Series - July 2020

7. Peer-Review Activities

I am an active reviewer in the field of electrical engineering and applied superconductivity for more than 40 international journals, including IEEE Transactions, IET journals, IOP, and Elsevier journals.

8. PhD viva review/referee

Polytechnic University of Milan, Italy External reviewer PhD viva October 2026
Polytechnic University of Turin, Italy External reviewer PhD viva September 2024
University of Bologna, Italy External reviewer PhD viva June 2024
University of Edinburgh, UK External reviewer PhD viva April 2023
University of Glasgow, UK Internal reviewer PhD viva December 2022

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James Watt School of Engineering