joined the THREAD project in May 2020 (read her welcome message)

I am from Greece where I completed my Master’s degree in Mechanical Engineering. My studies focus on mechanical systems, designing and analyzing dynamical structures using analytical and computational tools.
During my studies, I had the chance to get involved in the Systems Dynamic Laboratory. There, dealing with the problem of optimal experimental design, I deepened my knowledge on Bayesian Analysis and developed my skills on stochastic optimization methods. I was also familiarized with computational approaches such as Finite Element Analysis and Numerical Analysis for solving linear and non-linear problems. In my diploma thesis, I applied the Bayesian optimal sensor placement theory on an Epidemiology Network where the question was the optimal testing of a population. I realized the Network Design through code programming. Moreover, having to do with a time dependent problem I had to apply numerical techniques such as interpolation and numerical integration. Most importantly, I gained the experience of constructing a convenient software in Matlab environment.
After getting my degree I worked as a teacher of Applied Engineering in an Educational Training Institute. There I was teaching new technicians courses like Materials Science, Mechanics and Fluid Dynamics, all in a simplified way.
My passion for mechanics and mathematical modeling made me apply for the THREAD project. I feel that THREAD is an ideal training program for me as a researcher offering, at the same time, the opportunity to me to be creative and productive. The concept of working in a challenging scientific problem with industrial applications excites me. Last but not least, I am convinced that working in an international environment and collaborating with researchers of different disciplines will be a unique experience strengthening my knowledge and skills.

Konstantina Ntarladima, May 2020