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 holds a PhD in Electrical Power Engineering. He spent last 12 years 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.
His expertise lies in electrification and cryo-electrification of future transportation system including hydrogen and electric aircraft, by using large scale applied superconductivity and cryogenic technology.
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), 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 knowing more about cryo-electrification follow my Twitter, @YazdaniAsrami: https://twitter.com/YazdaniAsrami
Research interests
His expertise and research interests include but not limited to:
- Electrification and cryo-electrification of power and energy systems, and transportation system.
- 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, consumption in aerospace and power network.
For more information about his research interests, please check the following webpage:
Publications
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)
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)
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,
(Accepted for Publication)
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)
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,
(doi: 10.1109/TASC.2024.3509405)
(Early Online Publication)
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)
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, 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 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,
(doi: 10.1088/1361-6668/ad4e77)
(Early Online Publication)
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.
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,
(doi: 10.1088/2632-2153/ad45b1)
(Early Online Publication)
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
(2024)
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,
(doi: 10.1108/WJE-11-2023-0478)
(Early Online Publication)
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: towards more-intelligent electrified aviation systems.
IEEE Access,
(doi: 10.1109/ACCESS.2024.3371902)
(Early Online Publication)
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)
Articles
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)
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,
(Accepted for Publication)
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)
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)
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,
(doi: 10.1109/TASC.2024.3509405)
(Early Online Publication)
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 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, 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 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,
(doi: 10.1088/1361-6668/ad4e77)
(Early Online Publication)
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.
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,
(doi: 10.1088/2632-2153/ad45b1)
(Early Online Publication)
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
(2024)
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,
(doi: 10.1108/WJE-11-2023-0478)
(Early Online Publication)
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: towards more-intelligent electrified aviation systems.
IEEE Access,
(doi: 10.1109/ACCESS.2024.3371902)
(Early Online Publication)
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)
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)
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)
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)
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)
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)
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)
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.
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.
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.
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.
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.
Supervision
Open for highly motivated PhD candidates (UK/international): contact me if you think you are the one.
- Sadeghi, Alireza
Fault Tolerant Current Limiting Superconducting Cable for Cryo-Electrified Systems - Smith, Kerr
Fault Detection and Protection Management of Superconducting Machine in Cryo-Electric Aircraft using Artificial Intelligence Techniques - Yan, Dedao
Protection Solutions of Electrified Aircraft System by Superconducting Fault Current Limiter
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
Funding opportunities for PhD students:
- Scholarship from School of Engineering, University of Glasgow and and EPSRC funds (2022/23):
https://www.gla.ac.uk/schools/engineering/phdopportunities/ - CSC scholarship:
https://www.gla.ac.uk/scholarships/thechinascholarshipcouncil/ - Mary Gibb Dunlop Scholarships:
https://www.gla.ac.uk/schools/engineering/phdopportunities/ - Any other opportunities...
Fellowships for Postdocs/Visiting Researchers:
- EPSRC Fellowships
- The Leverhulme Trust Early Career Fellowships
- Royal Academy of Engineering Fellowships
- British Academy Postdoctoral Fellowships
- Newton International Fellowships
- Marie Skłodowska-Curie actions - Research Fellowship
- CSC postgraduate scholarship
Teaching
Undergratuate course:
ENG4187: Power Electronics & Drives 4
MSc course:
ENG5292: Power Electronics & Drives M
Additional information
- Accepting PhD and PGR students:
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.
If you would like to discuss about PhD opportunities, please send your full CV (including skills and latest publications) to my email.
- Accepting visiting researchers
Please send your full CV (including latest publications) as well as an intention letter to my email.