Prof. Fazhi Song | Control Systems | Research Excellence Award

Published on by Electrical Engineering

Prof. Fazhi Song | Control Systems | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, a Professor at the Harbin Institute of Technology specializing in control science, motion control, and precision engineering, is an accomplished researcher whose work advances high-end manufacturing and ultra-precision motion systems. He holds advanced degrees culminating in a Ph.D. in Control Science and Engineering, with academic training focused on system identification, learning control, and precision motion technologies. Throughout his professional career, he has led major research initiatives in motion generation, performance control, and accuracy retentivity for advanced manufacturing equipment, contributing to national and provincial projects and collaborating with leading industrial partners on precision motion systems. His research centers on high-precision mechanical servo systems, uncertainty-robust learning control, multi-DOF motion coordination, and advanced control strategies for lithography-level equipment, supported by a strong record of publications, patents, and technical innovations. He has authored numerous peer-reviewed articles, contributed to an academic monograph, and advanced methodologies widely cited in the fields of precision engineering and automation, reflected through 45 citations, 9 documents, and an h-index of the candidate. His achievements include significant awards from national academic societies recognizing technological innovation, along with contributions as a guest editor for respected journals, session chair for international conferences, and active membership in IEEE and major professional automation and instrumentation societies. Dr. Song’s leadership in research, editorial service, and professional engagement underscores his commitment to advancing ultra-precision control technologies and cultivating scientific excellence in the global engineering community.

Profiles: Scopus | ORCID

Featured Publications

Song, Fazhi, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Song, Fazhi, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Song, Fazhi, Identification for Precision Mechatronics: An Auxiliary Model-Based Hierarchical Refined Instrumental Variable Algorithm. Int. J. Robust Nonlinear Control., 2025.*

Song, Fazhi, Beyond Performance of Learning Control Subject to Uncertainties and Noise: A Frequency-Domain Approach Applied to Wafer Stages. IEEE/CAA J. Autom. Sinica., 2025, 5 citations.*

 

Prof. Xubin Liu | Smart Grids and Microgrids | Editorial Board Member

Published on by Electrical Engineering

Prof. Xubin Liu | Smart Grids and Microgrids | Editorial Board Member

Professor | Central South University | China

Dr. Xubin Liu is a postdoctoral researcher in Electrical Engineering at the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, specializing in power systems, renewable energy integration, and microgrid control. He holds a Ph.D. in Electrical Engineering from Hunan University with joint doctoral training at Tsinghua University, preceded by a bachelor’s degree in Electrical Engineering from Northwest University for Nationalities. His professional experience includes leading and contributing to advanced research projects on intelligent distribution networks, multi-energy systems, frequency–voltage coordination, fault current management, energy storage control, and real-time simulation platforms for active distribution networks. Dr. Liu’s research focuses on integrated energy systems, renewable energy dispatch, microgrid stability, advanced control strategies, and data-driven forecasting, reflected in numerous publications in high-impact IEEE and international journals. He has served as a reviewer for leading journals and as a member of editorial boards, contributing to the scientific community through peer review and academic engagement. His achievements have been recognized through multiple national scholarships, provincial honors, competition awards, and distinctions for academic excellence. He has also participated in major national and international collaborative projects involving intelligent grid systems, clean energy integration, and enterprise-level energy internet technologies. Dr. Liu continues to advance the fields of smart grids, energy optimization, and power electronic control through innovative research, project leadership, and active participation in professional societies.

Profile: ORCID

Featured Publications

Xubin Liu*, Frequency-Voltage synergy support method based on grid strength for VSC-MTDC integrated distributed offshore wind farms. IEEE Trans. Power Syst., 2025, 40(4), 3543–3562.

Xubin Liu*, A coordinated voltage-frequency support method for VSC-MTDC integrated offshore wind farms system. IEEE Trans. Power Syst., 2024, 39(1), 1485–1502.

Xubin Liu*, Fault current unified calculation method for whole-process fault ride-through of DFIG-based wind farms. IEEE Trans. Smart Grid, 2024, 15(1), 485–503.

Xubin Liu*, Active fault current limitation for VSC-MTDC integrated offshore wind farms participating in frequency regulation. IEEE Trans. Sustain. Energy, 2024, 15(2), 773–788.

Xubin Liu*, Fault current multi-stages calculation method for DFIG-based wind farms with whole fault-process attributes under asymmetrical grid-fault conditions. IEEE Trans. Sustain. Energy, 2024, 15(4), 2361–2379.

Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Published on by Electrical Engineering

Mr. Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Mohamed Taieb Krakdia | Proceeds, Energies, Environment and Electrical Systems (PEESE) | Tunisia

Mr. Mohamed Taieb Krakdia is a Distinguished Senior Professor at the Ministry of Education, Tunisia, specializing in electrical engineering and renewable energy systems. He holds a Master’s degree in Electrical Engineering from Université Elhadj Lakhder, Algeria, and a Professional Master’s in Renewable Energies and Energy Efficiency from ISET Tunisia, and is currently pursuing doctoral research focused on optimizing renewable energy resources in microgrids. His professional career spans over two decades, during which he has served as Senior Professor Emeritus, Principal Teacher, and Senior Secondary School Teacher, contributing extensively to academic instruction, curriculum development, and mentoring of future engineers. His research interests include microgrid optimization, renewable energy integration, and advanced control systems, resulting in notable publications such as studies on sliding-mode and Lyapunov-based control for DC microgrids and hybrid photovoltaic-wind generation systems with fuel cells and battery storage. Mohamed Taieb’s contributions extend beyond teaching and research, including leadership in educational programs, project development, and participation in professional knowledge-sharing platforms. He has been recognized for his academic excellence through professional certifications such as CAPES and has engaged in editorial and peer-review activities, further strengthening the research community. His dedication to innovation, research, and education positions him as a valuable contributor to advancing sustainable energy technologies and academic excellence.

Profile: ORCID

Featured Publications

Krakdia, M.T.*, Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell and Battery Storage. In: Advances in Renewable Energy Systems, Springer, 2024, DOI:10.1007/978-981-97-6148-7_16.

Krakdia, M.T.*, Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer) and Three-Phase Four-Leg Inverter (4L4W). Clean Technol., 2025, 7(3), 79

Krakdia, M.T., Optimization of Renewable Energy Resources in a Microgrid (PhD Research Work). ENIG, Tunisia, 2020.

Krakdia, M.T., Renewable Energies and Energy Efficiency: Professional Master’s Thesis, ISET Sidi Bouzid, Tunisia, 2019.

Krakdia, M.T., Electrical Engineering Engineer’s Thesis. Université Elhadj Lakhder Batna, Algeria, 2008.