Dr. A. Colombo

University of Bergamo

e-mail: alessandro.colombo@unibg.it

Dr. P. Congedo

DEFI Team (INRIA Saclay Île-de-France, Ecole Polytechnique), Centre de Mathématiques Appliquées (CMAP)

e-mail: pietro.congedo@inria.fr

web: www.pietrocongedo.altervista.org

Dr. Congedo is Research Scientist in DEFI Team (INRIA Saclay Île-de-France and Ecole Polytechnique). The current research activities of Dr. Congedo are focused on the development of Uncertainty Quantification (UQ) and robust optimization methods and their application in the numerical simulation of real-gas compressible flows in the field of energy systems and aeronautics/aerospace applications.

Prof. A. Ghidoni

University of Brescia

e-mail: antonio.ghidoni@unibs.it

web: antonio-ghidoni.unibs.it

Prof. Ghidoni is Associate Professor of Fluid Dynamics at the Department of Mechanical and Industrial Engineering of the University of Brescia. The current research activities are focused on both the development of innovative methods in the field of computational fluid dynamics and in their application to the study of flows of industrial interest, with particular emphasis on turbomachinery and aeronautical applications.

Prof. A.M. Lezzi

University of Brescia

e-mail: adriano.lezzi@unibs.it

Prof. P. Poesio

University of Brescia

e-mail: pietro.poesio@unibs.it

Dr. D. Picchi

Stanford University

e-mail: dpicchi@stanford.edu

web: https://profiles.stanford.edu/davide-picchi?releaseVersion=6.44.11

Davide Picchi is a Postdoctoral Research fellow in the Energy Resources Engineering Department at Stanford University. Davide’s research integrates theory development and experiments to investigate multiphase flow and complex fluids in confined environments. One of his priorities is to delineate the fundamental multi-scale and multi-phase dynamics of flow in porous materials and to develop of upscaling approaches that he applies to different scenarios, such as the stimulation of the production of geothermal energy and the recovery of natural resources. He is also interested in modeling large-scale buoyancy-driven displacements (e.g., lava flow) and in developing new strategies for transporting complex fluids in energy-related applications.

Dr. M. Pini

TU Delft

e-mail: m.pini@tudelft.nl


Dr. Pini is Assistant Professor in the Propulsion and Power group at the Faculty of Aerospace Engineering of Delft University of Technology. The current research activity of Dr. Pini covers both fundamental and applied aspects. He is mainly involved in the development and validation of numerical methods for automated design of turbomachinery, with particular focus on unsteady and multi-disciplinary (aero-structure) design approaches. Dr. Pini is also engaged in research concerning the development of highly-efficient miniaturized turbines operating with organic fluids using a combination of theoretical and numerical methods. Latest research initiated by Dr. Pini regards the investigation of metastable condensing flow in steam and organic fluids. The final aim of Dr. Pini’s research is to provide a step change in performance of next-gen turbomachinery, both for propulsion and power generation applications.

Prof. S. Radl

Institute of Process and Particle Engineering, Graz University of Technology, Inffeldgasse 13/III, 8010 Graz Austria

e-mail: radl@tugraz.at

web: http://ippt.tugraz.at/simSci

Prof. Radl is Assistant Professor at TU Graz (Austria) with a venia legendi in particle technology. He is interested in the development of theoretical models and simulation tools for multiphase flows and the flow of fluids with complex rheology. He uses the concepts of dimensional and regime analysis to characterize and (hopefully) understand flow phenomena in various areas (e.g., flows of granular materials and polymers, gas-particle flow, suspension flow, bubbly flow, three-phase flows like that in flotation cells, condensation phenomena). He uses discrete and continuum-based models to numerically study these flow phenomena. Specifically, he is interested in momentum, heat and mass transfer in fluidized beds, and transport in dense suspensions in general. These extremely complex systems still lack of robust quantitative models, such that a design and optimization of associated processes is currently not feasible. His broader vision is to make simulation tools more attractive by building a simulation environment that is easy to use and contains physically correct and robust mathematical models. Currently, his focus is on integrating new methods and algorithms into the tools "ParScale", "CPPPO", as well as the LIGGGHTS and CFDEM platform (http://www.cfdem.com).

Prof. S. Rebay

University of Brescia

e-mail: stefano.rebay@unibs.it