Prof. Dr. Zhi-Hua Yang | Wearable Electronics | Research Excellence Award

Published on by Electrical Engineering

Prof. Dr. Zhi-Hua Yang | Wearable Electronics | Research Excellence Award

Professor | Harbin institute of technology | China

Professor Zhihua Yang, a leading scholar at the Harbin Institute of Technology, is recognized for his expertise in advanced ceramics and composite materials within the School of Materials Science and Engineering, where he contributes to both foundational research and high-impact industrial innovation. With advanced degrees in materials science and specialization in ceramic and composite systems, he has developed a strong professional portfolio encompassing major research projects on structural-functional integrated ceramics, additive manufacturing, and ceramic–metal integration technologies for semiconductor packaging and electronic circuits. His experience includes directing significant research initiatives, providing specialized consulting for semiconductor equipment component development, and fostering academic collaborations with prominent institutions. Professor Yang has authored influential monographs, contributed to national-level publications, published more than 250 peer-reviewed papers, and secured 70 authorized national invention patents, demonstrating his leadership in translating materials research into technological applications. His professional recognitions are strengthened by his service as Associate Editor of the Journal of Applied Ceramic Technology, Editorial Board Member of the Journal of Advanced Ceramics, and council member in key committees of the Chinese Ceramic Society and the Chinese Mechanical Engineering Society, reflecting his commitment to advancing the field through scholarly excellence, professional service, and sustained research contributions.

Profile: ORCID

Featured Publications

Zhihua*, Review activity for ACS Applied Electronic Materials. ACS Appl. Electron. Mater., Review, American Chemical Society.

Zhihua*, Review activity for ACS Applied Electronic Materials. ACS Appl. Electron. Mater., Review, American Chemical Society.

Zhihua*, Review activity for Tribology International. Tribol. Int., Review, Elsevier Editorial.

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.