Tittu Varghese Mathew

I am passionate about Data-Driven Engineering and have extensive

experience in quantifying and propagating random processes with

numerical models for accurate prediction of stochastic response

at cheaper computational costs. I have worked in Bayesian

Parametric Inference of human skin properties as part of a fully

funded PhD exchange program with the University of Luxembourg,

in collaboration with Prof. Stephane P.A. Bordas. Having realized

the potential for Deep Neural Networks, I had worked on a novel

idea of adaptive training of a Neural Network surrogate/metamodel

for efficient structural reliability prediction of composite structures.

Moreover, after having completed my Masters in Aerospace

Engineering from the Delft University of Technology in 2011, I have

worked in Aerospace industries based both in India (ISRO) and in

Europe (EPFL) on CAD based design projects using CATIA-V5/V6

and Stress Analysis using MSC Nastran.

Along with an innate ability in deciphering complex analytical

formulations and converting that to numerical algorithms using

languages like Python/MATLAB, I exhibit an endless level of curiosity

in learning and adapting to new challenges, whether it be a new

working environment that may demand international collaboration

or to work on cutting-edge research tools. With a broad skill set

covering important facets in the Data-driven based Computational