Symposium Fall 2020 – IDIES Short Talk Gianluca Iaccarino
Title – Engineering Simulations in the Age of Data
Abstract – 95% of today’s data has been created in the last three years!
Object recognition, health monitoring, language translation are only three examples of how society is
being transformed in the age of data. The exponential growth of interest in data is fueled by three elements (1) the introductions of new, inexpensive sensors and diagnostic technology, (2) the availability of high-quality, general-purpose and open source machine learning tools and (3) the development of novel computer architectures tailored for handling data tasks.
How science and technology innovation will change in the age of the data is still somewhat unclear and the current impact is more subtle, partly because of existing practices based on well-established physical and mathematical principles. The talk will provide a historical perspective on the use of data in engineering simulations for validation, calibration and inference. This will be contrasted with new emerging trends in data science and specifically in merging mathematical models with data.
Many of the examples described emerge from the use of data science tools in simulations of turbulence.
Bio – Gianluca Iaccarino is Director of the Institute for Computational Mathematical Engineering (https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ficme.stanford.edu%2F&data=02%7C01%7Cmtully4%40jhu.edu%7C8aae2279be7541e9264a08d86a4ac967%7C9fa4f438b1e6473b803f86f8aedf0dec%7C0%7C0%7C637376216720921828&sdata=SkiN7Q9FVRqDYAtFjI6dSUPzPyK56YMjcHqPPUeF%2B50%3D&reserved=0) and a professor in the Mechanical Engineering Department at Stanford University. He received his PhD in Italy from the Politecnico di Bari (Italy) and has worked for several years at the Center for Turbulence Research (NASA Ames & Stanford) before joining the faculty at Stanford in 2007.
Since 2014, he is the Director of the PSAAP Center at Stanford, funded by the US Department of
Energy focused on multiphysics simulations, uncertainty quantification and exascale computing (https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Finsieme.stanford.edu%2F&data=02%7C01%7Cmtully4%40jhu.edu%7C8aae2279be7541e9264a08d86a4ac967%7C9fa4f438b1e6473b803f86f8aedf0dec%7C0%7C0%7C637376216720921828&sdata=vwpXynZ5WJPPByp3Zn4QveobFo1lSpTP13G0xT6qzks%3D&reserved=0). In 2010, he received the Presidential Early Career Award for Scientists and Engineers (PECASE) award, in the last couple of years, he has received best paper awards from AIAA, ASME and Turbo Expo Conferences.