Research Focus

Tianyi Feng’s research centers on aerospace structural reliability, particularly the interaction between temperature variations and strain response in advanced materials. His doctoral work at Imperial College London explored the use of neural network models to map thermal effects on suspension bridges, contributing novel insights into civil and structural health monitoring. In addition, Tianyi focuses on flood risk assessments, fire damage indices, and vulnerability models for cultural heritage and historical structures—demonstrating a broader interest in the intersection of engineering resilience and disaster mitigation. His academic pursuits also cover composite materials and manufacturing optimization for aircraft components. Tianyi has an interdisciplinary research vision, often combining elements of civil, mechanical, and materials engineering with advanced computational tools such as machine learning, finite element modeling, and simulation frameworks. His work aims to improve safety, sustainability, and resilience in both engineered infrastructure and heritage preservation.

🧠 Skills 

Tianyi Feng possesses a dynamic skill set that spans experimental and computational domains. His core competencies include quantitative data analysis, experimental design, and statistical modeling. He is proficient in managing research databases, conducting high-precision lab tests, and using software like MATLAB, Python, and ANSYS for simulations. With a strong foundation in project management, Tianyi has led cross-disciplinary teams, implemented quality control frameworks, and developed new manufacturing procedures in aeronautic production. His background also includes literature review techniques for evidence-based research and report writing for peer-reviewed publications. Tianyi is bilingual—fluent in Mandarin and English—and excels in technical communication, making him an effective collaborator on global projects. Additional skills include team leadership, scientific presentation, and strategic planning. His technical versatility is matched by his problem-solving mindset, enabling him to innovate across domains from aerospace structures to disaster-resilient infrastructure systems.

Conclusion