Qingguo Lü | Electrical Engineering  | Research Excellence Award

Dr. Qingguo Lü | Electrical Engineering  | Research Excellence Award

Associate Researcher | Chongqing University | China

Qingguo Lü is an Associate Researcher at Chongqing University specializing in distributed optimization, privacy-preserving machine learning, and smart grid systems. He earned his doctoral degree in computer science and technology with a strong focus on optimization theory and networked systems and subsequently advanced his expertise through postdoctoral research and international academic collaboration.  His scholarly contributions have delivered both theoretical advances and practical engineering solutions, achieving strong international visibility and impact. His academic influence is reflected by 1,174 citations, an h-index of 18, and an i10-index of 26. In recognition of his expertise and service, he holds multiple editorial and guest editorial appointments in international journals, serves on conference program committees, contributes extensively to peer review, holds innovation patents, and maintains professional standing as an IEEE Senior Member, demonstrating sustained excellence in research, leadership, and academic service suitable for a prestigious research award.

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Featured Publications

Distributed projection subgradient algorithm over time-varying general unbalanced directed graphs
H. Li, Q. Liu, T. Huang – IEEE Transactions on Automatic Control · Citations: 115
Accelerated convergence algorithm for distributed constrained optimization under time-varying general directed graphs
H. Li, Q. Lü, X. Liao, T. Huang – IEEE Transactions on Systems, Man, and Cybernetics: Systems · Citations: 104
Achieving acceleration for distributed economic dispatch in smart grids over directed networks
Q. Liu, X. Liao, H. Li, T. Huang – IEEE Transactions on Network Science and Engineering · Citations: 100
Convergence analysis of a distributed optimization algorithm with a general unbalanced directed communication network
H. Li, Q. Liu, T. Huang – IEEE Transactions on Network Science and Engineering · Citations: 96
Privacy masking stochastic subgradient-push algorithm for distributed online optimization
Q. Lü, X. Liao, T. Xiang, H. Li, T. Huang – IEEE Transactions on Cybernetics · Citations: 80

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

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.

Dr. Yan Ke | Cybersecurity in Electrical Systems | Best Researcher Award

Dr. Yan Ke | Cybersecurity in Electrical Systems | Best Researcher Award

Lecturer | Engineering University of PAP and Research Institute of Hi-Tech | China

Dr. Yan Ke, a Lecturer specializing in Data Security and Privacy Protection, is affiliated with a leading Chinese institution where he integrates theoretical innovation with applied cybersecurity research. He holds advanced degrees in computer science, focusing on information security and cryptographic systems. Professionally, Dr. Ke has led multiple high-impact national and provincial projects as Principal Investigator, contributing to military information protection and secure communication systems while guiding a multidisciplinary research team. His research emphasizes encryption redundancy-based reversible embedding, post-quantum cryptography, and secure algorithm design, yielding over forty core journal publications, numerous patents, and authored academic books. Recognized for his outstanding academic and professional achievements, Dr. Ke has received several prestigious honors, including provincial science and technology awards, an outstanding doctoral dissertation prize, and distinctions from the Armed Police Force. His editorial work, scholarly leadership, and membership in professional scientific societies further underscore his commitment to advancing cybersecurity research and innovation. He has a research impact of 481 citations, 36 publications and an h-index of 12.

Profile: Scopus

Featured Publications

Ke Yan*, Two-stage reversible data hiding in encrypted domain with public key embedding mechanism. Signal Processing, 2025, 1–12.

Ke Yan*, Federated Learning with Security Authentication and Traceability of Poisoning by Embedded Message Authentication Code. IEEE Transactions on Dependable and Secure Computing, 2025, 1–10.

Ke Yan*, FACSNet: Forensics aided content selection network for heterogeneous image steganalysis. Scientific Reports, 2024, 14(1), 23567.