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

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-7691-3485

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:

"Aerodynamics, Propulsion and Electrification"

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020
Number of items: 47.

2024

Alipour Bonab, S. , Waite, T., Song, W. , Flynn, D. and Yazdani-Asrami, M. (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, D., Yazdani-Asrami, M. and Song, W. (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, S. and Yazdani-Asrami, M. (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, D., Sadeghi, A., Yazdani-Asrami, M. and Song, W. (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, S. and Yazdani-Asrami, M. (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, A., Morandi, A. and Yazdani-Asrami, M. (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, A., Song, W. and Yazdani-Asrami, M. (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, S. , Song, W. and Yazdani-Asrami, M. (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, A., Morandi, A. and Yazdani-Asrami, M. (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, S. , Xing, Y., Russo, G., Fabbri, M., Morandi, A., Bernstein, P., Noudem, J. and Yazdani-Asrami, M. (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, S. and Yazdani-Asrami, M. (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, A., Song, W. and Yazdani-Asrami, M. (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, S. , Russo, G., Morandi, A. and Yazdani-Asrami, M. (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, S. , Sadeghi, A. and Yazdani-Asrami, M. (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, A., Bellavista, P., Song, W. and Yazdani-Asrami, M. (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, A., Alipour Bonab, S. , Song, W. and Yazdani-Asrami, M. (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, A., Alipour Bonab, S. , Song, W. and Yazdani-Asrami, M. (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)

2023

Alipour Bonab, S. , Song, W. and Yazdani-Asrami, M. (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, A., Seyyedbarzegar, S. and Yazdani-Asrami, M. (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, M. (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, M. , Fang, L., Pei, X. and Song, W. (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, A., Yazdani-Asrami, M. , Hesami, M. and Sood, V. (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, Y., Song, W. , Yazdani-Asrami, M. and Fang, J. (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, N. V. U., Sadeghi, A. and Yazdani-Asrami, M. (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, M. , Sadeghi, A. and Song, W. (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, A., Xu, Z., Song, W. and Yazdani-Asrami, M. (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, M. , Sadeghi, A., Seyyedbarzegar, S. and Song, W. (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, A. and Yazdani-Asrami, M. (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, M. , Sadeghi, A., Song, W. , Madureira, A., Murta-Pina, J., Morandi, A. and Parizh, M. (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, A., Seyyedbarzegar, S. and Yazdani-Asrami, M. (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, M. , Sadeghi, A., Seyyedbarzegar, S. and Song, W. (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, M., Yazdani-Asrami, M. , Behjat, V., Yazdani, A. and Sharifzadeh, M. (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, M. , Sadeghi, A. and Atrey, M. 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, M. , Seyyedbarzegar, S. M., Sadeghi, A., Batista de Sousa, W. T. and Kottonau, D. (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, M. , Sadeghi, A., Seyyedbarzegar, S. M. and Saadat, A. (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, M. , Seyyedbarzegar, S. M., Zhang, M. and Yuan, W. (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, R., Khodsuz, M. and Yazdani-Asrami, M. (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, M. (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, G., Yazdani-Asrami, M. , Scheda, R., Morandi, A. and Diciotti, S. (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, W. , Jiang, Z., Yazdani-Asrami, M. , Staines, M., Badcock, R. and Fang, J. (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, W. , Pei, X., Alafnan, H., Xi, J., Zeng, X., Yazdani Asrami, M. , Xiang, B. and Liu, Z. (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, M. , Song, W. , Zhang, M., Yuan, W. and Pei, X. (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, M. , Song, W. , Zhang, M., Yuan, W. and Pei, X. (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, W. , Pei, X., Zeng, X., Yazdani-Asrami, M. , Fang, X., Fang, J. and Jiang, Z. (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, M. , Song, W. , Pei, X., Zhang, M. and Yuan, W. (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, M. , Taghipour-Gorjikolaie, M., Song, W. , Zhang, M. and Yuan, W. (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 Wed Nov 20 21:56:49 2024 GMT.
Jump to: Articles
Number of items: 47.

Articles

Alipour Bonab, S. , Waite, T., Song, W. , Flynn, D. and Yazdani-Asrami, M. (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, D., Yazdani-Asrami, M. and Song, W. (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, S. and Yazdani-Asrami, M. (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, D., Sadeghi, A., Yazdani-Asrami, M. and Song, W. (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, S. and Yazdani-Asrami, M. (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, A., Morandi, A. and Yazdani-Asrami, M. (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, A., Song, W. and Yazdani-Asrami, M. (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, S. , Song, W. and Yazdani-Asrami, M. (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, A., Morandi, A. and Yazdani-Asrami, M. (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, S. , Xing, Y., Russo, G., Fabbri, M., Morandi, A., Bernstein, P., Noudem, J. and Yazdani-Asrami, M. (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, S. and Yazdani-Asrami, M. (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, A., Song, W. and Yazdani-Asrami, M. (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, S. , Russo, G., Morandi, A. and Yazdani-Asrami, M. (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, S. , Sadeghi, A. and Yazdani-Asrami, M. (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, A., Bellavista, P., Song, W. and Yazdani-Asrami, M. (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, A., Alipour Bonab, S. , Song, W. and Yazdani-Asrami, M. (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, A., Alipour Bonab, S. , Song, W. and Yazdani-Asrami, M. (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, S. , Song, W. and Yazdani-Asrami, M. (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, A., Seyyedbarzegar, S. and Yazdani-Asrami, M. (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, M. (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, M. , Fang, L., Pei, X. and Song, W. (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, A., Yazdani-Asrami, M. , Hesami, M. and Sood, V. (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, Y., Song, W. , Yazdani-Asrami, M. and Fang, J. (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, N. V. U., Sadeghi, A. and Yazdani-Asrami, M. (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, M. , Sadeghi, A. and Song, W. (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, A., Xu, Z., Song, W. and Yazdani-Asrami, M. (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, M. , Sadeghi, A., Seyyedbarzegar, S. and Song, W. (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, A. and Yazdani-Asrami, M. (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, M. , Sadeghi, A., Song, W. , Madureira, A., Murta-Pina, J., Morandi, A. and Parizh, M. (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, A., Seyyedbarzegar, S. and Yazdani-Asrami, M. (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, M. , Sadeghi, A., Seyyedbarzegar, S. and Song, W. (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, M., Yazdani-Asrami, M. , Behjat, V., Yazdani, A. and Sharifzadeh, M. (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, M. , Sadeghi, A. and Atrey, M. 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, M. , Seyyedbarzegar, S. M., Sadeghi, A., Batista de Sousa, W. T. and Kottonau, D. (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, M. , Sadeghi, A., Seyyedbarzegar, S. M. and Saadat, A. (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, M. , Seyyedbarzegar, S. M., Zhang, M. and Yuan, W. (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, R., Khodsuz, M. and Yazdani-Asrami, M. (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, M. (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, G., Yazdani-Asrami, M. , Scheda, R., Morandi, A. and Diciotti, S. (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, W. , Jiang, Z., Yazdani-Asrami, M. , Staines, M., Badcock, R. and Fang, J. (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, W. , Pei, X., Alafnan, H., Xi, J., Zeng, X., Yazdani Asrami, M. , Xiang, B. and Liu, Z. (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, M. , Song, W. , Zhang, M., Yuan, W. and Pei, X. (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, M. , Song, W. , Zhang, M., Yuan, W. and Pei, X. (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, W. , Pei, X., Zeng, X., Yazdani-Asrami, M. , Fang, X., Fang, J. and Jiang, Z. (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, M. , Song, W. , Pei, X., Zhang, M. and Yuan, W. (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, M. , Taghipour-Gorjikolaie, M., Song, W. , Zhang, M. and Yuan, W. (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 Wed Nov 20 21:56:49 2024 GMT.

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:

 

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.

 


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