Assoc. Prof. Dr. Xuemin Yao | Nonlinear Dynamic Interactions | Research Excellence Award

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Assoc. Prof. Dr. Xuemin Yao | Nonlinear Dynamic Interactions | Research Excellence Award

Hebei Geo University | China

Assoc. Prof. Dr. Xuemin Yao is a researcher at the College of Information Engineering, Hebei GEO University, Shijiazhuang, China. Their work focuses on nonlinear dynamics, nonlinear partial differential equations, fluid mechanics, nonlinear molecular waves, and physical information neural networks. They have developed a strong research profile in the study of nonlinear wave mechanisms, state-transition behaviors, and controllable wave structures in fluid and plasma environments. Dr. Yao has published extensively in high-impact international journals, contributing significant findings on transformed nonlinear waves, breather molecules, and complex dynamic interactions in multi-dimensional nonlinear evolution equations. Their work advances theoretical understanding and practical modeling approaches in nonlinear science and fluid dynamics.

Yao, X., Wen, J., Li, Y., & Zhao, J. (2025). Mechanism investigations on certain unbounded/bounded breather molecules and transformed molecular waves for an extended (3+1)-dimensional Jimbo–Miwa equation in fluid mechanics. Wave Motion.

Yao, X., Zhao, J., & Liang, R. (2025). State-transition mechanisms for (2+1)-dimensional Sawada–Kotera equation with variable coefficients in plasma physics and fluid dynamics. Chaos, Solitons & Fractals.

Yao, X., & Wang, L. (2025). The dynamics of nonlinear molecular waves in a (3+1)-dimensional nonlinear evolution equation in fluid mediums. Nonlinear Dynamics.

Yao, X., Ma, J., & Meng, G. (2025). The state transition mechanism of nonlinear waves with external force control in the fluid or plasma. Applied Mathematics Letters.

Yao, X., Ma, J., & Meng, G. (2024). The phase transition of control parameters for the (3+1)-dimensional Konopelchenko–Dubrovsky–Kaup–Kupershmidt equation in plasma or ocean dynamics. Nonlinear Dynamics.

Prof. Wang Yibo | Theoretical Advances | Research Excellence Award

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Prof. Wang Yibo | Theoretical Advances | Research Excellence Award

Northeast Electric Power University | China

Prof. Wang Yibo is a dedicated researcher and academic in the field of electrical engineering, currently serving as a full-time faculty member at the School of Electrical Engineering, Northeast Electric Power University. He has led and contributed to numerous national, provincial, and industry-funded research projects, including major programs under the National Natural Science Foundation and the National Key R&D initiative. His work has gained strong academic visibility, with significant citations in SCI and Scopus databases. He has also taken part in extensive consultancy and horizontal research collaborations while serving as a peer reviewer for leading international and domestic journals. His research focuses on power system optimization, power electronic equipment, flexible distribution network control, and power market studies. As an active member of IEEE, CIGRE, CES, CEES, and CPSS, he maintains strong professional engagement. His contributions include innovative technical developments, impactful project leadership, high-quality publications, patents, and meaningful advancements that support the progress of modern power systems.

Wang, Y., Liu, K., Liu, C., Liu, Y., Fan, J., & Liu, C. (2025). Probabilistic power flow calculation in active distribution networks based on hybrid distribution transformers. Electric Power Systems Research.

Zhou, J., Cai, G., Wang, Y., & Liu, C. (2025). Dual-timescale scheduling approach for power systems with energy-intensive loads: Wind power accommodation through forecast deviation decomposition and flexible resource coordination. Energy.

Wang, Y., Wang, Y., Liu, C., Du, Z., Liu, C., Cai, G., Liu, Y., & Liu, K. (2025). Source-side compensated hybrid distribution transformer based on direct AC/AC converter. Electric Power Systems Research.

Wang, Y., Liu, C., Zhang, X., Liu, K., Liu, C., & Cai, G. (2025). Model construction and power flow regulation analysis of direct AC/AC auto-coupling three-winding hybrid distribution transformer. IEEE Sensors Journal.

Guo, D., Wang, A., Liu, C., Zhang, P., Yan, G., Pei, Z., Cai, G., Wang, R., & Wang, Y. (2024). Novel bidirectional high-frequency isolated direct AC/AC converter with unipolar phase-shifted modulation strategy. IEEE Transactions on Power Electronics.

Dr. Huiting Cheng | Simulation and Modeling Calculations | Young Scientist Award

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Dr. Huiting Cheng | Simulation and Modeling Calculations | Young Scientist Award

Jinzhong University | China

Dr. Huiting Cheng specializes in agricultural engineering with strong expertise in bionic technology, straw utilization techniques, biological mechanical pulping processes, and biodegradable material development. Her work spans bionic equipment design and optimization, numerical simulation, engineering material forming processes, intelligent agricultural machinery, and multidisciplinary research. She has held key leadership roles in academic and research teams, guiding communication, coordinating project reporting, and supporting innovation initiatives. Dr. Cheng has contributed to university-level and provincial technology projects, assisted enterprise research, mentored students, and actively participated in academic exchanges. In industry–university collaboration, she has led technical teams in agricultural machinery R&D, carrying out mechanical design and experimental validation, contributing to patent development, promoting technology transformation, and supporting enterprise innovation and development efforts.

Cheng, H., Huang, W., Zeng, S., Li, G., Gong, Y., & Ren, D. (2025). Optimization of the thermoforming process for straw-based biodegradable materials through biological mechanical processing and simulation. Materials Today Communications.

Cheng, H., Gong, Y., Zhao, N., Zhang, L., Lv, D., & Ren, D. (2022). Simulation and experimental validation on the effect of twin-screw pulping technology upon straw pulping performance based on Tavares mathematical model. Processes.

Dr. Patrick Shriwise | Computer Aided Design | Best Researcher Award

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Dr. Patrick Shriwise | Computer Aided Design | Best Researcher Award

Argonne National Laboratory | United States

Dr. Patrick Shriwise is a computational scientist specializing in nuclear systems analysis, Monte Carlo particle transport, scientific computing, and software engineering. His work spans advanced simulations for fission and fusion systems, development of OpenMC capabilities, and research in computational geometry and CAD-based radiation transport. He has contributed to high-performance computing, multiphysics applications, visualization, and ray-tracing technologies across national laboratory and academic environments. He is an active member of multiple professional organizations, serves as a reviewer for scientific journals, and regularly contributes to teaching through guest lectures and Software Carpentry instruction. His technical expertise includes C/C++, Python, HPC frameworks, CAD/CAE modeling, cloud computing, and a wide range of nuclear engineering simulation tools.

Romano, P. K., Pasmann, S., Shriwise, P. C., & Swanson, C. P. S. (2025). Computing material volume fractions on a superimposed mesh as applied to Monte Carlo particle transport simulations. Fusion Engineering and Design, 220, 115364.

Romano, P. K., Myers, P. A., Johnson, S. R., Kols̆ek, A., & Shriwise, P. C. (2025). Point containment algorithms for constructive solid geometry with unbounded primitives. Computer-Aided Design, 178, 103803.

Romano, P., Tramm, J., & Shriwise, P. (2024). Language and design evolution of the OpenMC Monte Carlo particle transport code. EPJ Nuclear Sciences & Technologies, 10, 15.

Peterson, E. E., Romano, P. K., Shriwise, P. C., & Myers, P. A. (2024). Development and validation of fully open-source R2S shutdown dose rate capabilities in OpenMC. Nuclear Fusion, 64(5), 056011.

Novak, A. J., Shriwise, P., Romano, P. K., Rahaman, R., Merzari, E., & Gaston, D. (2023). Coupled Monte Carlo transport and conjugate heat transfer for wire-wrapped bundles within the MOOSE framework. Nuclear Science and Engineering, 197(10), 2561–2584.

Dr. Wei Dong | Experiential Optimization Subfield | Best Researcher Award

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Dr. Wei Dong | Experiential Optimization Subfield | Best Researcher Award

Northwest A&F University | China

Dr. Wei Dong is an Associate Professor and doctoral supervisor at Northwest A&F University, specializing in hydraulic machinery and hydrodynamics. He serves on multiple national committees related to turbines, pumps, and ocean energy equipment, and holds roles including senior visiting scholar at the National Key Laboratory of Hydropower Equipment and director of the Jiangsu Hydrodynamic Equipment Engineering Technology Research Center. He has led more than 20 national, provincial, and industry-funded research projects and has published over 60 research papers, including numerous SCI/EI-indexed works. His contributions also include patents, textbooks, and participation in the development of national standards. His research extends into machine learning applications in physics and experiential optimization.

Zhang, H., Dong, W., He, F., & Jiang, H. (2025). Multi-objective optimization on control strategies for variable-speed regulation in pump condition of pump-turbines. Sustainable Energy Technologies and Assessments.

Fan, X., Dong, W., Li, P., & He, F. (2025). Multiscale pressure fluctuation characteristics and vortex-enthalpy interaction in cavitating mixed-flow pump. Physics of Fluids.

Jiang, H., Dong, W., Li, S., & He, F. (2025). Optimization of centrifugal pump performance and excitation force based on machine learning and enhanced non-dominated sorting genetic algorithm III. Engineering Applications of Artificial Intelligence.

Li, Z., Dong, W., & Jiang, H. (2025). Multi-objective optimization of centrifugal pumps based on extreme learning machine with Adaptive Non-dominated Sorting Genetic Algorithms III. Physics of Fluids.

Dong, W., Jiang, H., Zhang, H., & Li, P. (2024). Analysis on axial force characteristics of variable valve and variable speed adjustment of centrifugal pump. Physics of Fluids.