Sensing and Control of Turbulent Flows Through Deep Learning

Join Professor Ricardo Vinuesa from KTH Royal Institute of Technology for an hour-long seminar exploring the intersection of deep learning with turbulent flow sensing and control. Learn about cutting-edge approaches in data-driven engineering as part of the Mathematical and Statistical Foundation series, where advanced techniques for understanding and manipulating complex fluid dynamics through artificial intelligence are discussed. Gain insights into how deep learning methodologies are revolutionizing our ability to monitor and regulate turbulent flows, with potential applications across various engineering disciplines.