| Topic: | Data-driven digital twins for informed decisions in multidisciplinary engineering applications |
|---|---|
| Speaker: | Dr Gianmarco Mengaldo Quantitative Strategies, Keefe, Bruyette & Woods / KESK; Visiting Scientist, Imperial College London |
| Date: | Thursday, 29 August 2019 |
| Time: | 4.30pm to 5.30pm |
| Venue: | Seminar Room EA-06-03 (Block EA, Level 6) (map of NUS can be found at http://map.nus.edu.sg/) |
| Host: | Prof Phan-Thien Nhan |
Abstract
The talk presents my research about the development and integration of data-driven strategies and digital twins in three different areas: a) aerodynamics, b) weather and climate, and c) finance. Through these examples, I will show how the integration of data and prior knowledge can lead to improved computational tools that in turn can help drive technological and societal innovation.
About the Speaker
Gianmarco Mengaldo is currently leading the effort to develop quantitative trading strategies based on artificial intelligence at Keefe, Bruyette & Woods / KESK. He is also visiting scientist at Imperial College London, where he works on efficient numerical discretizations for partial differential equations, and on the application of machine learning techniques on high-fidelity simulation data.
Prior to this appointment, he was a senior postdoctoral scholar at the California Institute of Technology where he worked on next generation numerical algorithms for multi-scale and multi-physics problems, actively collaborating with Imperial College London, the Massachusetts Institute of Technology, University of Cologne and the European Centre for Medium-Range Weather Forecast (ECMWF), the world leader in numerical weather prediction.
Gianmarco graduated from Politecnico di Milano, with a master of science in aerospace engineering. He then obtained a PhD from Imperial College London in aeronautical engineering, where he worked on novel approximation strategies for partial differential equations, including discontinuous Galerkin and flux reconstruction approaches, using the spectral element library Nektar++. During the PhD, he joined McLaren Racing for an internship in the Formula 1 R&D department where he worked on the aerodynamic design of the competing car. After the PhD, Gianmarco worked for one year at ECMWF leading the technical side of a project, ESCAPE, devoted to test several numerical algorithms for weather and climate simulations on emerging computing technologies and he contributed building the new data-structure for handling different numerical discretization for massively parallel weather and climate applications.