Associate Professor at
KTH Royal Institute of Technology
Ricardo Vinuesa is an Associate Professor at KTH Royal Institute of Technology. He obtained his Bachelor in Mechanical Engineering at the Polytechnic University of Valencia (Spain), and he completed his MS and PhD at the Illinois Institute of Technology in Chicago (USA).
His main area of research is turbulent flows in complex geometries, such as the flow around airplane wings or urban environments.
His work is mainly based on high-performance simulations on large supercomputers, and on the use of data-driven methods to analyze these flows.
His research team has pioneered the use of deep neural networks to model and predict wall-bounded turbulence.
He has led international efforts to combine experimental, numerical and AI-based methods to understand complex flows, which are responsible for around 25% of the energy used by industry worldwide.
Tell us about your first encounter with artificial intelligence (AI)?
Some years ago, I realized that the engineering problems associated to fluid mechanics are very rich in data, and using methods based on deep neural networks can really help to improve the current modelling and prediction capabilities in the field.
What is your competence within the field of AI?
I work with applied AI, in particular I both recurrent and convolutional neural networks to exploit the temporal and spatial dependencies in fluid-mechanics problems. In our research group we have pioneered some of these neural-networks applications in the field of turbulence.
Why did you develop an interest in AI?
I realized the potential of AI-based method, first in my field, and later in the context of wider engineering applications. I am developing AI-based methods for flow control and for predictions of air quality in urban environments.
Can you recommend a relevant book or film about AI?
Pattern Recognition and Machine Learning by Christopher Bishop is an excellent book.
Why should we, or should we not, be afraid of AI?
The first step is to initiate a global dialogue, so the general public, researchers, industrial partners and policymakers are aware of what AI can, and can't, do. So we should be afraid of misue and flawed regulations, but we should also be aware of the potential of AI.
Which field, in your opinion, has the most to benefit from AI – and why?
I believe that medicine and engineering are experiencing a sharp increase in successful AI applications, and within engineering there are a wide range of areas with important implications to sustainability.
How should the use of AI develop in the future?
In addition to deeper knowledge, it is necessary to establish responsible and ethical practices in AI development.
Why should participants tune in during AI+?
We will provide a complete assessment of the potential benefit of AI on all 17 UN SDGs, and we will also discuss the possible pitfals of AI development. We want to initiate a global dialogue, so that AI sustainability and responsibility are prioritized.
Ricardo Vinuesa is a speaker at the AI+ virtual conference 2020.