Hongxia Liu | Wide Bandgap Semiconductors | Research Excellence Award

Published on by Electrical Engineering

Prof. Hongxia Liu | Wide Bandgap Semiconductors | Research Excellence Award

Supervisor | Xidian unniversity | China

Hongxia Liu is a Professor of Microelectronics at Xidian University, specializing in advanced semiconductor device engineering. She holds bachelor’s, master’s, and doctoral degrees in microelectronics from North West University, Xi’an Jiaotong University, and Xidian University, respectively. Her professional career encompasses academic leadership, supervision of competitive research projects, and mentorship of graduate researchers in microelectronics and integrated circuit technologies. Her research focuses on advanced CMOS device design, device physics, and the reliability of wide bandgap semiconductor materials, with contributions published extensively in leading international journals. Professor Liu’s work has significantly advanced semiconductor device performance and reliability, and her standing is further demonstrated through academic recognitions, editorial and peer-review service, and active membership in the global microelectronics research community. Her scholarly impact is reflected in 2,912 citations across 431 publications, with an h-index of 23.

Citation Metrics (Scopus)

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2912

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431

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23

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h-index

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Featured Publications

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Associate Professor | Mazandaran University of Science and Technology | Iran

Dr. Ehsan Akbari is an Associate Professor in the Department of Electrical Engineering at the Mazandaran University of Science and Technology, renowned for his expertise in electrical power engineering, power electronics, and modern energy systems. He holds comprehensive academic qualifications spanning bachelor’s, master’s, and doctoral degrees in Electrical Power Engineering with focused specialization in power quality enhancement, converter control, smart grids, and renewable energy integration. His professional career includes extensive teaching, research leadership, and contributions to major projects involving flexible AC transmission systems, multilevel converters, grid-connected converter control, micro-grid stability, reactive power management, and harmonics mitigation using advanced hybrid filtering techniques. A highly productive scholar, he has authored numerous books along with hundreds of peer-reviewed publications and has secured multiple patents that reflect his commitment to advancing power system reliability and intelligent energy technologies. His academic service includes organizing and contributing to program committees of various scientific conferences, mentoring emerging researchers, and participating in collaborative initiatives that translate theoretical advancements into practical engineering solutions. Dr. Akbari has earned several scientific and technological achievement awards, complemented by professional memberships, editorial engagements, and recognized contributions to the global power engineering community. Citations 1,206 by 962 documents, 58 documents, h-index 20.

Profile: Scopus

Featured Publications

Akbari, E.*, Stationary-frame power regulation for controlling grid-connected three-phase modular multilevel converter with low harmonic under unbalanced voltage. Scientific Reports, 2025.

Akbari, E.*, Flexibility regulation-based economic energy scheduling in multi-microgrids with renewable/non-renewable resource and stationary storage systems considering sustainable computing by hybrid metaheuristic algorithm. Sustainable Computing: Informatics and Systems, 2025.

Akbari, E.*, Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units. Scientific Reports, 2025.

Akbari, E.*, An optimized ANFIS framework for online voltage stability margin estimation in power systems using the novel Solifugae-inspired optimization algorithm and partial least squares-based dimensionality reduction. Measurement, 2025.