Meiqian Wang | Geotechnical Engineering | Best Innovation Award

Published on by Civil Engineering Awards

Prof. Meiqian Wang | Geotechnical Engineering | Best Innovation Award

Professor | Kunming University of Science and Technology | Best Innovation Award

Prof. Meiqian Wang is a researcher and faculty member at Kunming University of Science and Technology, specializing in geotechnical mechanics, geological engineering, and engineering project management. His work focuses on the mechanical behavior, sandification mechanisms, and disaster-control technologies of sandy dolomite, contributing to major infrastructure projects in Southwest China. He has led two research projects and participated in several significant initiatives, including a major science and technology project of the Yunnan Provincial Science and Technology Department, multiple National Natural Science Foundation projects, open fund studies, and enterprise-oriented engineering investigations. During his doctoral period, he achieved notable academic productivity, publishing seven first-author papers, including five SCI-indexed articles—with one in a top-tier journal—and one core Chinese publication. His work has also extended to engineering geology, machine-learning-based rock property evaluation, and structural stability analyses in complex geological conditions. In addition to scholarly publications, he has contributed substantially to scientific and technological innovation, holding one invention patent, five utility model patents, and four computer software copyrights related to rock mechanics testing, data acquisition, and analysis systems. He has collaborated extensively with interdisciplinary teams on tunnel engineering, rock mass behavior, and large water-diversion project studies, further enhancing the scientific understanding of rock sandification processes. His professional contributions include serving as a journal editorial board member and reviewer for several SCI journals in civil engineering and geosciences, reflecting his growing international academic presence. His research has delivered tangible societal benefits by supporting safer, more efficient design and construction practices in high-risk geological environments, thereby advancing regional infrastructure resilience and sustainability.

Profiles: ORCID
Publication:

Wang, M., Xu, W., Mu, H., Mi, J., Wu, Y., & Wang, Y. (2022). Study on construction and reinforcement technology of dolomite sanding tunnel. Sustainability, 14(15)

Max Barillas | Computational Mechanics | Best Researcher Award

Published on by Civil Engineering Awards

Mr. Max Barillas | Computational Mechanics | Best Researcher Award

PhD Researcher | Centre Internacional de Metodes Numerics en Enginyeria | Spain

Mr. Max Barillas is a dedicated researcher specializing in computational and mechanical engineering with a strong focus on data-driven modeling and materials design. Currently serving as a Predoctoral Researcher at the Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE) in Barcelona, Max contributes to advancing numerical and computational methods for solving complex engineering problems. His academic trajectory includes a Master of Science in Mechanical Engineering from Santa Clara University and ongoing doctoral research in Civil Engineering at the Universitat Politècnica de Catalunya. Max’s work demonstrates a strong interdisciplinary approach that merges computational mechanics, materials science, and applied mathematics. His notable research includes the development of non-intrusive, data-driven methodologies for addressing inverse problems in bending dielectric elastomer actuators, emphasizing efficiency and accuracy in modeling soft robotic systems. Additionally, he has contributed to the design of low-porosity auxetic tessellations aimed at reducing mechanical stress concentrations, a study that supports innovations in lightweight and flexible materials. Through these investigations, Max explores the intersection of structural optimization and smart materials, striving to enhance mechanical performance and adaptability. His research reflects a commitment to bridging theoretical frameworks with real-world applications in advanced materials and engineering design. Overall, Max Barillas’s scholarly contributions highlight a forward-thinking perspective within computational mechanics, focusing on leveraging mathematical modeling and numerical analysis to address modern challenges in material behavior and structural engineering, reinforcing his role as an emerging expert in the field of computational and mechanical sciences.

Profile: ORCID
Fearuted Publications:

Barillas, M., Ortigosa, R., Martinez-Frutos, J., Bonet, J., & García-González, A. (2026). Design of low-porosity auxetic tessellations with reduced mechanical stress concentrations. Applied Mathematical Modelling.