Fehmi Cirak is a Professor of Computational Mechanics and
joined Cambridge in March 2006. Before that, he spent five years
as a Senior Scientist at the Center for Advanced Computing Research
at the California Institute of Technology. He has a PhD in
Computational Mechanics from the University of Stuttgart and was
a Postdoctoral Fellow in Aeronautics at the California Institute
of Technology. His research focuses on developing rigorous but simple
computational techniques and software for integrated geometric
design, analysis and optimisation of engineering structures by
drawing from mechanics, applied mathematics and computer science.
Eky is a postdoctoral research associate in data-augmented
computational mechanics. He joined CSMLab in October 2015 and
completed his PhD in October 2019. Eky has Bachelor and Master
in Aeronautics degrees from the Bandung Institute of Technology
(Indonesia). In his PhD, he developed a mollified finite element
method of arbitrary order and smoothness that is more efficient
than standard finite elements and integrates better with
computer-aided design (CAD) representations. Eky is currently
developing novel statistical finite elements with applications
to digital twins.
Kim Jie joined CSMLab in October 2018 after completing his bachelor's
and master's degrees in civil engineering at the Universiti
Teknologi Petronas (Malaysia). He is excited about developing
novel spline basis functions for isogeometric finite element
analysis on unstructured quadrilateral and hexahedral meshes.
Recently, he started working on the isogeometric discretisation
of stochastic fractional partial differential equations.
Arnaud is a French Canadian student who joined CSMLab in
October 2019 and is supported by the Baxter & Alma Ricard
Foundation. He completed his undergraduate studies in civil
engineering at the University of Ottawa. Arnaud's research lies
at the intersection between finite elements, probabilistic
inference and machine learning. He is currently keen on
developing variational Bayesian methods and Gaussian process-based
reduced-order models for solving large-scale inverse problems
from structural engineering.
Tianyi joined CSMLab in October 2019 and has a Bachelor in
Civil Engineering from The Hong Kong Polytechnic University.
She is eager in developing optimisation approaches for reducing
the buckling sensitivity of lightweight engineering structures,
like power masts and cylindrical shell containers. Tianyi is
currently developing efficient, robust optimisation techniques
using sparse Gaussian process regression and Bayesian
Thomas joined CSMLab in October 2020. He has bachelor's and master's
degrees in mechanical engineering from the University of Waikato
(New Zealand). Thomas' research focuses on integrating geometric
modelling with shape and topology optimisation. He is considering
both isogeometric analysis and novel multiresolution parameterisation
techniques from geometric machine learning.
Oguzhan started his PhD in January 2021. He has a bachelor's
from the Middle East Technical University (Turkey) and a master's
from the University of Manchester in Aerospace Engineering. In
his PhD, he will explore the efficient structural optimisation
of computational grey-box models using deep neural networks.
Long term visitors
Dr Malcolm Sabin
Malcolm is one of the foremost pioneers in computer-aided
design (CAD) and the invetor of the Doo-Sabin subdivison surfaces.
In addition to generously sharing his tremendous CAD expertise
with CSMLab, Malcolm is actively investigating new interrogation
methods for subdivision surfaces.