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Dr. Risio has 7 years of experience in the development and application of mathematical methods for the solution of industrial relevant combustion problems. His activities focused on the reduction of turnaround times for model setup and optimization calculations with 3D-furnace simulation tools. This was done by the development of a domain decomposition technique for the coupling of independently discretized grids (free choice of physical models, numerical methods, grid resolution, and coordinate system) and the application of appropriate programming techniques and programming models for the efficient use of modern High Performance Computers. Dr. Risio has a strong experience in the usage of Shared-memory parallel vector computers (NEC SX-4, Cray T90, etc.) and distributed memory massively parallel computers (Cray T3E, Intel Paragon, etc.). Dr. Risio participated in several projects aiming at the assessment of the validity of numerical predictions for industrial scale furnaces and boilers. He performed a large number of calculations of industrial boilers (mainly coal-fired) and participated in experimental measuring campaigns to compare measured and calculated quantities and to quantify the reliability of mathematical furnace models. Current responsibilities are the management of the activities of RECOM Services in Europe which is affiliated with Reaction Engineering International in the United States. Education Ph.D., Mechanical Engineering, Stuttgart University, 1999 Dipl.-Ing. Mechanical Engineering, Stuttgart University, Germany, 1992 Experience President, RECOM Services (1999-present) Research Engineer, IVD, University of Stuttgart, (1994-1999) Application of the 3D-furnace simulation tool AIOLOS to industrial scale boilers and furnaces with the aim of verifying the validity of numerical predictions in industrial scale. Software-Developer, IVD, University of Stuttgart, Stuttgart, Germany (1992-1994) Development of parts of the 3D-furnace furnace simulation tool AIOLOS focusing on domain decomposition techniques for the coupling of individually discretized computational domains. Professional Associations and Awards Young Innovator Two-year Scholarship | 