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

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

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.