Decheng Li | Research Excellence | Best Researcher Award

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Mr. Decheng Li | Research Excellence | Best Researcher Award

Mr. Decheng Li | Lanzhou University of Technology | China

Dr. Decheng Li, a distinguished scholar at the School of Automation and Electrical Engineering, Lanzhou University of Technology, has made substantial contributions to intelligent control systems, robotics, optimization algorithms, and renewable energy integration. His research consistently bridges theoretical innovation with real-world engineering needs, and his recent work on high-precision optical measurement systems exemplifies this commitment to impactful technological advancement. In the 2025 journal article “Robust hybrid decentralized controller design for Voice Coil Actuator–Fast Steering Mirror (VCA–FSM) system in high-precision optical measurements”, co-authored by Jiabin Liu and Hui Chen and published in Measurement, Dr. Li presents a novel control solution for improving accuracy and stability in fast optical beam steering applications. VCA–FSM systems are critical components in laser communication, adaptive optics, precision imaging, and spaceborne measurement instruments, where rapid response and minimal error are essential. However, these systems often encounter challenges such as parameter uncertainties, external disturbances, nonlinear coupling between axes, and stringent precision requirements. The study introduces a hybrid decentralized control strategy that integrates robust control principles with intelligent algorithmic tuning. This decentralized architecture allows each axis of the FSM to be controlled independently while mitigating cross-axis interference. The hybrid approach combines model-based design with adaptive mechanisms to enhance disturbance rejection and maintain system stability under uncertain conditions. Simulation and experimental results demonstrate that the proposed controller significantly improves tracking accuracy, dynamic response, and robustness compared to conventional centralized or purely model-based controllers. Dr. Li’s contribution not only advances the performance of VCA–FSM platforms but also offers a generalizable framework for other high-precision mechatronic systems. His ongoing work continues to strengthen the integration of automation, intelligent control, and advanced signal processing to achieve next-generation smart engineering solutions.

Profile: Orcid

Featured Publication

Liu, J., Li, D., & Chen, H. (2025). “Robust hybrid decentralized controller design for Voice Coil Actuator-Fast Steering Mirror system in high-precision optical measurements.

Hector Galindo-Silva | Research Excellence | Best Researcher Award

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Assoc. Prof. Dr. Hector Galindo-Silva | Research Excellence | Best Researcher Award

Assoc. Prof. Dr. Hector Galindo-Silva | Pontificia Universidad Javeriana | Colombia

Dr. Héctor Galindo-Silva is a distinguished scholar in economics whose research bridges political economy, institutional development, and conflict analysis. He completed his doctoral studies in Economics at Université de Montréal, followed by a postdoctoral fellowship at Universitat Pompeu Fabra’s Institute of Political Economy and Governance (IPEG). His academic journey reflects a deep interdisciplinary foundation, combining expertise in economics, philosophy, and the social sciences. Currently serving as an Associate Professor of Economics at Pontificia Universidad Javeriana, he has previously taught at Université de Montréal and held teaching appointments in both economics and philosophy. His teaching portfolio includes courses on political economy, microeconomics, conflict economics, and the economic analysis of social interactions. Dr. Galindo-Silva’s research explores the intersection of political institutions, conflict dynamics, religion, and economic outcomes. His publications have appeared in leading international journals such as the Journal of Public Economics, Economics & Politics, European Journal of Political Economy, Journal of Comparative Economics, Journal of Population Economics, and Journal of Economic Behavior & Organization. His recent work addresses themes such as ideological ambiguity, religious competition, education and gender norm transformation, and the political impact of climate change. In addition to his scholarly output, he has contributed to major research collaborations using big data and network theory, and his studies often integrate empirical and theoretical approaches to understand social and political processes. He serves as Associate Editor of Humanities and Social Sciences Communications and regularly reviews for high-impact journals in economics and political science. Throughout his career, Dr. Galindo-Silva has presented his research at numerous international conferences and academic institutions across Europe and the Americas, earning recognition for his analytical depth and interdisciplinary engagement in contemporary political economy.

Profile: Google Scholar

Featured Publications 

Galindo, H., Restrepo, J., & Sánchez, F. (2009). Conflicto y pobreza en Colombia: Un enfoque institucionalista. In Guerra y violencias en Colombia: Herramientas e interpretaciones (pp. 315–351). Universidad Javeriana.

Galindo-Silva, H. (2015). New parties and policy outcomes: Evidence from Colombian local governments. Journal of Public Economics, 126, 86–103. https://doi.org/10.1016/j.jpubeco.2015.04.004

Galindo-Silva, H., Some, N. H., & Tchuente, G. (2018). Fuzzy difference-in-discontinuities: Identification theory and application to the Affordable Care Act. arXiv preprint arXiv:1812.06537.

Galindo-Silva, H. (2021). Political openness and armed conflict: Evidence from local councils in Colombia. European Journal of Political Economy, 67, 101984. https://doi.org/10.1016/j.ejpoleco.2020.101984

Galindo-Silva, H., & Tchuente, G. (2023). Armed conflict and early human capital accumulation: Evidence from Cameroon’s Anglophone conflict. arXiv preprint arXiv:2306.13070.

Li Yu | Research Excellence | Best Researcher Award

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Prof. Li Yu | Research Excellence | Best Researcher Award

Prof. Li Yu | Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences | China

Dr. Yu Li is a distinguished Research Fellow at the Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), specializing in Food Science and Technology with a strong emphasis on mycotoxin prevention, detection, and safety assurance in agricultural products. Her research integrates advanced analytical techniques and immunological approaches to develop innovative detection systems for food contaminants. She has successfully led and participated in more  major national and provincial research projects, including those funded by the National Key R&D Program of China and the National Natural Science Foundation of China (NSFC). Her pivotal role in the award-winning project “Development of Targeted Antibodies and Ultrasensitive Detection Technologies for Aflatoxins in Agricultural Products” earned her team the Second-Class Prize of the National Technical Invention Award . Recognized for her excellence, Dr. Li has been selected for the Outstanding Young Talent Cultivation Program of OCRI-CAAS and the “Young Top Talent” Program of Hubei Province. Beyond her research, she contributes to scientific development as a Guest Editor for Molecules and as a member of the Science and Technology Expert Database of the Hubei Provincial Department of Science and Technology.

Profiles:  ORCID | ResearchGate

Featured Publications

Tang, F., Ma, F., Wang, D., Fang, M., Zhang, L., Li, P., & Yu, L. (2025). Highly efficient detoxification of aflatoxin B1 in peanut meals by attapulgite-supported laccase. Food Control, 164, 111759. https://doi.org/10.1016/j.foodcont.2025.111759

Ma, F., He, Y., Tang, F., Fu, L., Zhang, L., Li, P., & Yu, L. (2025). In-situ stabilization of conjugated microporous polymer on sieve plates for multifunctional applications: Detection and removal of aflatoxins. Journal of Hazardous Materials, 478, 139457. https://doi.org/10.1016/j.jhazmat.2025.139457

Liu, M., Wang, X., Yang, Y., Tu, F., Yu, L., Ma, F., Wang, X., Jiang, X., Dou, X., Li, P., & others. (2025). Authentication of edible oil by real-time one class classification modeling. Foods, 14(7), 1235. https://doi.org/10.3390/foods14071235

Dou, X., Tu, F., Yu, L., Yang, Y., Ma, F., Wang, X., Wang, D., Zhang, L., Jiang, X., & Li, P. (2024). Adulteration detection of edible oil by one-class classification and outlier detection. Food Frontiers, 5(1), Article e395. https://doi.org/10.1002/fft2.395

Huang, F., Liu, A., Fang, M., Wang, D., Yu, L., Ma, F., Wang, X., Zhang, L., & Li, P. (2024). Characteristic volatile flavors of high-oleic peanut oil and normal peanut oil. Microchemical Journal, 199, 110389. https://doi.org/10.1016/j.microc.2024.110389