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.

Jian Yang | Nonlinear & Adaptive Control | Best Researcher Award

Published on by Electrical Engineering

Prof. Jian Yang | Nonlinear & Adaptive Control | Best Researcher Award

Professor | Anhui University | China

Dr. Jian Yang is a Professor at the School of Electrical Engineering and Automation, Anhui University, specializing in vibration control, structural control, smart materials, and magnetorheological technology. She earned her Ph.D. in Mechanical, Materials, Mechatronic, and Biomedical Engineering from the University of Wollongong, Australia, following her master’s and bachelor’s degrees in Control Science and Engineering from the China University of Petroleum (East). Dr. Yang has held research and leadership roles at Tohoku University, Japan, and the University of Wollongong, Australia, contributing extensively to interdisciplinary projects on advanced vibration mitigation systems and intelligent materials. Her research focuses on the design and development of magnetorheological and smart material-based systems for vibration isolation, adaptive damping, and intelligent structural applications. She has authored and co-authored numerous high-impact journal papers in Smart Materials and Structures, Mechanical Systems and Signal Processing, and IEEE Transactions on Mechatronics, among others, and contributed book chapters on seismic protection technologies. Dr. Yang has been recognized with several prestigious awards, including Best Poster and Best Presentation Awards at international conferences, and her works have been featured as highlighted and most-cited articles. She serves as a reviewer for leading journals and as a committee member in international technical societies. Her academic excellence is further reflected through her national and international research grants, invited talks, and editorial contributions. Scopus Metrics indicate her significant research influence, with 1,880 citations across 25 publications and an h-index of 25.

Profile: Scopus

Featured Publications

Jian Yang*, Nonmotorized Hand Exoskeleton for Rescue and Beyond: Substantially Elevating Grip Endurance and Strength. IEEE Trans. Robot., 2025, 41, 4761–4775.

Jian Yang*, A New Fail-Safe Active Seat Suspension System Using Magnetorheological Technology for Enhanced Comfort and Safety. Mech. Syst. Signal Process., 2025, 241, 113488.

Jian Yang*, Investigation of a Semi-Active Suspension System for High-Speed Trains Based on Magnetorheological Isolator with Negative Stiffness Characteristics. Mech. Syst. Signal Process., 2024, 208, 111085.

Jian Yang*, Investigation of a Magnetorheological Elastomer Metamaterial Sandwich Beam with Tunable Graded Stiffness for Broadband Vibration Attenuation. Smart Mater. Struct., 2023, 32, 065022.

Jian Yang*, Investigation of a New Magnetorheological Elastomer Metamaterial Plate with Continuous Programmable Properties for Vibration Manipulation. J. Sound Vib., 2023, 118215.