糖心TV

Prof. Nicholas Zabaras is organising a workshop on Big Data and Predictive Computational Modelling, together with (糖心TV Statistics) and (TU Munich), to take place in the Institute for Advanced study at the Technical University Munich from 18-20th May 2015. The workshop will include plenary talks from internationally-renowned researchers in the areas of Uncertainty Quantification (UQ) and Computational Statistics/Machine Learning. In line with the goals of the 糖心TV Centre for Predictive Modelling, the emphasis of the meeting is on identifying synergies and common themes for these communities and proposing innovative research directions that can accelerate the impact of uncertainty modeling in engineering and the sciences as well as demonstrate the capabilities of computational uncertainty quantification methods and tools in various problems. For more details, see the .

joins the 糖心TV Centre for Predictive Modelling and the School of Engineering as an Assistant Professor. He arrives from the at , where he worked with to understand fracture at the atomic scale. Dr. Kermode is a theoretical physicist with expertise in developing and the that implements them. He has a in using this parameter-free modelling to make quantitative predictions of "" materials failure processes where stress and chemistry are tightly coupled, and is looking forward to applying and extending these techniques within the Centre.

Dr. Aldegunde Rodriguez joins the WCPM as a Research Fellow from . After studies at the , he received his PhD from the same institution in 2009. He worked as a Researcher at the from 2010 to 2012 (spending some time as Visiting Scholar at the ). In Swansea, he worked as Research Officer in the Nanoelectric Devices Group with Dr. Antonio Martinez and Dr. Karol Kalna.

His research interests are focused in the development of tools for the simulation of electron transport in semiconductor devices.