Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Published on by Electrical Engineering

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, Professor in the School of Instrumentation Science and Engineering at Harbin Institute of Technology, is a leading specialist in control science and precision motion systems whose work advances high-end manufacturing and inspection technologies. With a Ph.D. in Control Science and Engineering and research expertise spanning motion generation, performance control, learning control, and system accuracy retentivity, he has built a distinguished academic and professional record through roles as researcher, lecturer, associate professor, and project leader on numerous advanced engineering projects. He has authored more than forty peer-reviewed publications, contributed a research monograph, and secured an extensive portfolio of patents and software copyrights, reflecting strong innovation and impact in precision motion control. His scholarly influence is further demonstrated by 432 citations across 367 documents, 45 indexed publications, and an h-index of 9. Dr. Song has been recognized with major honors, including high-level national and provincial awards for technological invention, innovation, and academic contribution, and he maintains active professional service as guest editor, editorial board member, conference session chair, peer reviewer for leading journals, and expert evaluator for national research programs. His contributions exhibit a blend of scientific rigor, technological advancement, and leadership, positioning him as an exemplary candidate for award recognition.

Profiles: Scopus | ORCID

Featured Publications

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

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

Fazhi Song, Identification for precision mechatronics: An auxiliary model-based hierarchical refined instrumental variable algorithm. Int. J. Robust Nonlinear Control, 2025.*

Fazhi Song, 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. Qie Sun | Power System Stability & Control | Research Excellence Award

Published on by Electrical Engineering

Prof. Qie Sun | Power System Stability & Control | Research Excellence Award

Director | Shandong University | China

Prof. Qie Sun, Professor and doctoral supervisor at Shandong University and Deputy Dean of the Institute for Advanced Technology, is a leading expert in sustainable energy systems, thermal science, and integrated energy system optimization. He holds a doctorate in Industrial Ecology from the Royal Institute of Technology and bachelor’s and master’s degrees in management from Ocean University of China. His professional experience encompasses academic leadership roles, major interdisciplinary collaborations, and the management of high-impact projects in multi-energy systems, CO₂ capture and utilization, thermal management technologies, and energy storage solutions. He has led and contributed to numerous national and provincial research initiatives and played a key role in the thermal control research of the Alpha Magnetic Spectrometer. His research focuses on integrated energy systems, system flexibility under uncertainty, multi-energy coupling modeling, thermal management for electronics and wearable devices, urban energy systems, and industrial ecology, supported by extensive scholarly output that includes over 140 documents, 5,302 citations, and an h-index of 33. Prof. Sun has received multiple honors, including global top scientist recognitions, best paper awards, outstanding reviewer awards, and teaching excellence distinctions. He serves as Assistant Editor of Advances in Applied Energy, Associate Editor for several prominent journals, reviewer for numerous high-impact publications, and an active member of professional bodies such as IEEE and the Chinese Society of Engineering Thermophysics. Through his editorial leadership, scientific committee roles, and contributions to international conferences, Prof. Sun continues to advance innovation and global scholarship in sustainable energy research.

Profile: Scopus

Featured Publications

Sun, Q.*, The flexibility of a molten salt thermal energy storage (TES)-integrated coal-fired power plant. Applied Energy, 2025.

Sun, Q.*, Dynamically tunable silica hydrogel windows enabled by hydration state control for enhanced building energy efficiency. Applied Thermal Engineering, 2025.

Sun, Q.*, Impact of dust composition on parabolic trough concentrator performance across diverse regions. Solar Energy, 2025.

Sun, Q.*, The review of key furnaces in CaC₂ smelting process under the background of carbon neutrality. Review, 2025.

Sun, Q.*, A thin and lightweight miniature loop heat pipe for cooling mobile electronic devices. Device, 2025.

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Published on by Electrical Engineering

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Student | The School of Computer Science, Guangdong University of Technology | China

Siqin Liao is a Ph.D. candidate at the School of Computer Science, Guangdong University of Technology, specializing in control theory and intelligent systems. He holds a Master of Engineering in Control Engineering from Guangdong University of Technology and a Bachelor of Engineering in Electrical Engineering and Automation from Xinyu University, and has completed a visiting research program at the University of Adelaide, Australia. His research focuses on asynchronous control of Markov jump systems, cooperative control of multi-agent systems, and network security control. Liao has published seven SCI-indexed papers in leading journals such as IEEE Transactions on Cybernetics and Systems & Control Letters, contributing novel control methodologies for stochastic and networked systems under uncertainty and cyberattacks. He has participated in provincial-level projects funded by the Guangdong Basic and Applied Basic Research Foundation and collaborates internationally on control design research. His scholarly impact includes over 100 citations, with recognition for his first-author and corresponding-author publications. As a student member of IEEE, he upholds academic excellence and innovation in control system theory. His achievements have earned him awards such as the First Prize in the Siemens Cup China Intelligent Manufacturing Challenge and the Third Prize in the China Robowork Competition, highlighting both his technical expertise and leadership in engineering research. His research record includes 80 citations across 7 publications with an h-index of 2, reflecting his growing academic influence.

Profile: Scopus

Featured Publications

Siqin Liao*, Zheng-Guang Wu, Yuanqing Wu. Constrained quadratic control for Markov jump systems with multiplicative noise. Syst. Control Lett., 2025, 203:06–27.

Siqin Liao*, Yuanqing Wu, Zheng-Guang Wu, Peng Shi. Design on dynamic event and self-triggered control for systems with Markov jumps and denial-of-service attacks. J. Franklin Inst., 2025, doi:10.1016/j.jfranklin.2025.108006.

Siqin Liao, Zheng-Guang Wu, Yuanqing Wu*. Control for Markov jump systems with partially unknown transition probabilities under denial-of-service attacks. Int. J. Robust Nonlinear Control., 2025, doi:10.1002/rnc.70142.