Fu Yong

Dr. Fu Yong is an Assistant Professor and doctoral supervisor at the Department of Marine Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. He earned his PhD in Geotechnical Engineering from the National University of Singapore (NUS) in 2018, preceded by a Master's (Tongji University, 2013) and Bachelor's (Shanghai University, 2010) in Civil Engineering.

• Current Role: Assistant Professor, SUSTech (2020–present)
• Prior Roles: Research Fellow (NUS, 2018–2020), Research Engineer (NUS, 2017–2018)

Dr. Fu specializes in marine geotechnical engineering, with key focuses on offshore wind power foundation design, deep-sea anchoring technologies, and underground space development. His technical expertise includes large deformation finite element modeling (CEL/RITSS methods), stochastic analysis, and machine learning (GWO-MLP optimization). His work bridges laboratory experiments (centrifuge and field tests) with computational simulations to address challenges in marine infrastructure.

• Marine foundation design for offshore wind turbines and marine ranches
• Deepwater dynamic penetration anchoring systems
• Horizontal deep soil mixing equipment for underground space
• Finite element simulation of large deformations and thermal effects

His publication trends reveal a consistent focus on offshore anchoring mechanics, shale fracture modeling, and machine learning integration for geotechnical predictions. Recent works (2024–2025) emphasize torsional effects in suction anchors, sand-GFRP interface behavior, and advanced constitutive models for cemented soils.

• Key journals: Geotechnique, Ocean Engineering, Physics of Fluids, Computers and Geotechnics

Dr. Fu has received multiple scientific awards, including the 2024 SUSTech Undergraduate Teaching Award, 2022 SUSTech Outstanding College Mentor Award, and NUS Research Scholarship (2013–2017).

• Selected Honors:
  • 2024 First Prize, SUSTech Undergraduate Teaching Award
  • 2022 SUSTech Outstanding College Mentor
  • 2020 Shenzhen Overseas High-level C Talent

He actively contributes as a reviewer for 18+ international journals and serves on editorial boards for journals like Sustainable Structures. His work on machine learning-driven anchor penetration prediction (2024) and hybrid phase-field shale fracture modeling (2024) exemplifies interdisciplinary innovation.