Eky Febrianto

University of Glasgow

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in Fluid Mechanics Fluid Mechanics professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (6)

Jorge Ramirez

Full Professor

Universidad Politécnica de Madrid

SPAIN

View details

Manlio Tassieri

Reader in Biomedical Engineering

University of Glasgow

UNITED KINGDOM

View details

Fehmi Cirak

University of Cambridge

UNITED KINGDOM

View details

Mark Girolami

Professor at University of Cambridge

University of Cambridge

UNITED KINGDOM

View details

Ieva Kazlauskaite

University College London

UNITED KINGDOM

View details

Jack Radford

University of Glasgow

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Eky Febrianto

Research Interests

Explore related searches

Contact this professor

Articles (10)

Automatic Interpretation of Downhole Seismic Geophysical Data Accounting for Uncertainty and Measurement Error

Total Lagrangian smoothed particle hydrodynamics with an improved bond-based deformation gradient for large strain solid dynamics

Point collocation with mollified piecewise polynomial approximants for high‐order partial differential equations

A Three-Grid High-Order Immersed Finite Element Method for the Analysis of CAD Models

Machine learning opens a doorway for microrheology with optical tweezers in living systems

Data-informed statistical finite element analysis of rail buckling

Variational Bayesian approximation of inverse problems using sparse precision matrices

Digital twinning of self-sensing structures using the statistical finite element method

The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions

Mollified finite element approximants of arbitrary order and smoothness

Collaborators (6)

Jorge Ramirez

Manlio Tassieri

Fehmi Cirak

Mark Girolami

Ieva Kazlauskaite

Jack Radford

Make your next move.