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.*

Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award

Associate Professor | Hebei University of Technology | China

Guanlong Jia, Lecturer at Hebei University of Technology and a Member of IEEE, is a researcher specializing in high-power electronics with expertise in circuit breakers, multilevel converters, control algorithms, and pulse-width modulation techniques. He holds a Ph.D. in electrical engineering from Zhejiang University, where he focused on advanced power electronic systems and their reliability. In his professional capacity, he contributes to teaching and research in power conversion technologies, participating in institutional and collaborative projects that enhance innovation in electrical engineering. His research centers on the design, analysis, and optimization of high-power electronic devices, and his contributions are reflected in his scholarly publications and technical advancements in power electronics. He is recognized for his academic engagement and his role in supporting the wider research community through professional membership and ongoing contributions to the field. At the end of his academic profile: 295 citations, 42 documents, and an h-index of 7.

Profile: Scopus

Featured Publications

Jia, Guanlong*, Transient stability enhancement method for virtual synchronous generators using power-angle deviation with a modified reactive-power control loop. Electronics (Switzerland), Accepted.

Jia, Guanlong*, Multi-objective optimization design of fast vacuum switch operating mechanisms for hydrogen-storage power systems. AIP Advances, Accepted.

Jia, Guanlong, Dynamics simulation and fault-characteristic analysis of permanent-magnet repulsion mechanisms for vacuum circuit breakers integrating advanced high-power switching technologies. AIP Advances, Accepted.

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.

Dr. Muhammad Tariq | Animal Reproduction | Research Excellence Award

Published on by Electrical Engineering

Dr. Muhammad Tariq | Animal Reproduction | Research Excellence Award

Ph.D Scholar | College of Animal Science and Technology | China

Muhammad Tariq, a dedicated researcher and Ph.D. candidate at the College of Animal Science and Technology, Nanjing Agricultural University, specializes in animal science with core expertise in animal genetics, molecular parasitology, and molecular biology. He holds an MPhil in Zoology from Cholistan University of Veterinary and Animal Sciences with specialization in advanced biological techniques and aquatic toxicology, and a BS in Zoology from Bahauddin Zakariya University, where he gained a strong foundation in genetics, microbiology, physiology, and environmental sciences. His professional experience includes extensive laboratory and research work involving DNA and RNA extraction, PCR amplification, gel electrophoresis, microscopy, protein analysis, immunohistochemistry, immunofluorescence, and animal handling, contributing to multidisciplinary projects focused on parasitic diseases, reproductive physiology, livestock health, and sustainable aquaculture. He has authored numerous peer-reviewed publications addressing heat stress, reproductive biology, parasitic prevalence, molecular diagnostics, aquatic toxicology, and nanoparticle applications, and has contributed several book chapters on veterinary vaccines, mRNA technologies, livestock genetics, and CRISPR-based improvement. His academic achievements are further strengthened by active participation in international research collaborations, scholarly contributions to reputable journals, and commitment to advancing scientific knowledge. At the end of his profile, his research metrics reflect growing global impact, with 53 citations, an h-index of 4, and an i10-index of 3.

Profile: Google Scholar

Featured Publications

Tariq M*, Heat Stress and Its Impact on Corpus Luteum (CL) Function and Reproductive Efficiency in Mammals: A Critical Review. Reproductive Sciences, Accepted.

Tariq M*, Prevalence of trypanosomiasis caused by Trypanosoma evansi in domestic ruminants from Southern Punjab, Pakistan. [Journal], Accepted.

Tariq M*, Assessment of Babesia spp. prevalence in various domestic animals across Southern Punjab, Pakistan. Brazilian Journal of Biology, 2024, 84, e277636.

Tariq M*, Melatonin Modulates Necroptosis and Enhances Antioxidant Defense during PGF-Induced Luteal Regression in Heat-Exposed Rats. Pakistan Veterinary Journal, 2025, 45(1).

Tariq M*, Phytoestrogens Modulate Bovine GPCRs and Regulate Reproductive Functions in Animals. Reproduction in Domestic Animals, 2025, 60(3), e70033.

Tariq M*, FOXM1 Inhibits SUV39H1 to Regulate the CSE/H₂S Pathway in Promoting Ferroptosis of Gastric Cancer Cells. Pakistan Veterinary Journal, 2025, 45(1).

Tariq M*, Cryptosporidium Infection in Goats: Prevalence, Risk Factors, and Diagnostic Techniques. Frontiers in Veterinary Science, 2024, 11, 1498682.

Tariq M*, Growth performance and antioxidant status of freshwater carp under brackish water rearing. Aquaculture, 2025, 596, 741691.

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.