Dr. Angel Sapena Bano | Modelling Machines for Optimization | Research Excellence Award

Published on by Electrical Engineering

Dr. Angel Sapena Bano | Modelling Machines for Optimization | Research Excellence Award

Associate Professor | Universitat Politecnica de Valencia | Spain

Ángel Sapena Bañó, Profesor Titular at the Universitat Politècnica de València, is a specialist in electrical engineering with expertise in electrical machines, diagnostic methods, numerical modelling, and condition monitoring. He holds degrees in Industrial Engineering, Energy Technology for Sustainable Development, and Secondary Education, complemented by a doctorate in Industrial Engineering focused on advanced diagnostic techniques for electrical machines. His professional trajectory includes roles as Lecturer, Researcher, and Technical Specialist, contributing to major academic initiatives, laboratory modernization, and collaborative research activities. He has participated in multiple competitive and industrial R&D projects, developed fault-diagnosis tools for induction machines and wind-energy systems, and strengthened international cooperation through research stays and Erasmus teaching engagements. His research spans analytical and hybrid modelling, finite-element methods, machine-learning-based diagnostics, and real-time simulation, reflected in numerous high-impact journal articles, conference contributions, book chapters, and patented inventions. He has led and co-led research outputs as first and corresponding author, supervised a wide range of graduate projects, and contributed to organizing scientific conferences and special issues. His distinctions include recognized research merits, invited reviewer roles in indexed journals, participation in prominent research groups, and involvement in impactful national and international scientific initiatives. His scholarly record includes 1,035 citations, 60 documents, and an h-index of 17.

Profiles: Scopus | ORCID

Featured Publications

Ángel Sapena Bañó*, Model-based diagnostic techniques for induction machines under transient operational conditions. Int. J. Electr. Power Energy Syst., Accepted.

Ángel Sapena Bañó*, Hybrid FEM–analytical modelling framework for efficient fault detection in eccentric induction motors. Sensors, 2025, 25, 1–28.

Ángel Sapena Bañó, Deep learning–enhanced condition monitoring strategies for electrical machines operating in variable regimes. Mathematics and Computers in Simulation, 2025, 1–28.

Prof. Dong Jiang | Energy Storage Systems | Best Researcher Award

Published on by Electrical Engineering

Prof. Dong Jiang | Energy Storage Systems | Best Researcher Award

Professor | Huazhong University of Science and Technology | China

Professor Dong Jiang, a leading scholar at Huazhong University of Science and Technology, is renowned for his expertise in power electronics, advanced motor drives, and electromagnetic interference mitigation. He holds a PhD in Electrical Engineering from the University of Tennessee and both bachelor’s and master’s degrees from Tsinghua University, where he specialized in high-performance converter design and control. His professional background includes service as a Senior Research Scientist and Engineer at the United Technologies Research Center, along with extensive leadership in major national and international research projects focused on multi-functional inverters, magnetic bearing systems, and high-reliability motor controllers. His research contributions span PWM converter optimization, EMI suppression, active magnetic bearings, and modern motor drive technologies, supported by an extensive publication record that includes numerous IEEE journal articles, conference papers, books, and a substantial portfolio of granted patents. He has earned multiple prestigious awards for scientific innovation, impactful publications, and technological breakthroughs while also contributing significantly to the scholarly community as an Associate Editor for IEEE Transactions on Industry Applications, Chairman of the IEEE PELS Wuhan Chapter, IET Fellow, and IEEE Senior Member. With more than 6450 citations, an h-index of 43, and an i10-index of 135, he stands as a highly influential figure in the global power electronics research community.

Profile: Google Scholar

Featured Publications

D. Jiang*, F. Wang, Current-ripple prediction for three-phase PWM converters, IEEE Transactions on Industry Applications 50(1), 531–538.

D. Jiang*, Z. Shen, F. Wang, Common-mode voltage reduction for paralleled inverters, IEEE Transactions on Power Electronics 33(5), 3961–3974.

D. Jiang*, Dead-time effect compensation method based on current ripple prediction for voltage-source inverters, IEEE Transactions on Power Electronics 34(1), 971–983.

D. Jiang*, R. Burgos, F. Wang, D. Boroyevich, Temperature-dependent characteristics of SiC devices: Performance evaluation and loss calculation, IEEE Transactions on Power Electronics 27(2), 1013–1024.