Dr Eky Febrianto

My research passion centres on the development of fast, robust, and reliable computational methods tailored for the analysis of complex engineering assets.

Within our group, we strategically combine advanced numerical methods with data integration for digital twinning for engineering assets. Collaboratively, we engage with experts in structural health monitoring, statistics, high-performance computing, and establish partnerships with influential organisations like Network Rail and the Alan Turing Institute.

My current research delves into data-driven approaches applied to infrastructures, biomedical, and geotechnical applications.

As a supervisor, I am quite hands-on and actively engage in discussions and problem-solving with my students. My commitment to fostering Equality, Diversity, and Inclusion (EDI) is demonstrated through my dedication to opening opportunities for individuals from diverse cultural, socio-economic, and educational backgrounds through education. As an example, I co-founded a program in Indonesia aimed at teaching in remote areas to encourage higher education pursuits.