Michele Griffa Email & Phone Number

I'm a physicist with wide experience in imaging with X-rays, neutrons and elastic waves, in the analysis of 3D images, e.g., tomographic datasets. Most of my experience is with porous materials (man made or natural).I've a 10+ year experience with the study of the nonlinear elastic properties of porous materials as rocks, concrete, ceramics and micro-cracked poly-crystalline materials. The studies aim at developing new methods for non-destructive evaluation of materials with high sensitivity to early micro-cracking development.I have a 10+ experience with mathematical modeling and numerical simulations of physical/biological systems. I've worked on such diverse topics as short range Molecular Dynamics (Discrete Element Method) simulations of granular materials with geophysical application (earthquake physics) and computational modeling of the chemo-mechanics of cancer growth.High Performance (Scientific) Computing, particularly Cluster Computing, is one of my additional technical areas of expertise, used for my computational modeling and image analysis tasks. Parallel computing on distributed- and shared-memory computers is the main tool I use for my scientific Research.I have broad interests in every fields of High Performance Computing, both on the software and hardware sides.In the last 5 years, I've become a practitioner of applications of machine learning methods, specifically unsupervised learning, to processing and analysis of 3D images, specifically segmentation. Since the last year of my Master at the University of Turin, I've been very interested also in the theoretical basis of supervised learning by artificial neural networks (ANNs) and the links between ANNs and biological neural networks.

Listed skills include Scientific Computing, Physics, Mathematical Modeling, Computational Physics, and 16 others.