Machine Learning for Fluid Mechanics

Early Bird Registration : Rs. 1299 + GST (20th March – 20th April, 2024) – Sold Out

Regular Registration : Rs. 1499 + GST (21st – 28th April, 2024) Sold Out

For International Participants (USD 30 + Tax) : Pay using the payment link under the Fees of the Workshop tab


Last day of registration: 28th April, 2024


SKU: 30th April, 2024 Categories: ,


Mode of Workshop : ONLINE


Session Date : 30th April, 2nd & 6th May, 2024


Session Time : 07:00 p.m. – 09:00 p.m. IST (on all the days)

Profile of the Instructor

Dr. Ricardo Vinuesa is an Associate Professor at the Department of Engineering Mechanics, KTH Royal Institute of Technology in Stockholm. He is also Vice Director of the KTH Digitalization Platform and Lead Faculty at the KTH Climate Action Centre. He studied Mechanical Engineering at the Polytechnic University of Valencia (Spain), and he received his PhD in Mechanical and Aerospace Engineering from the Illinois Institute of Technology in Chicago. His research combines numerical simulations and data-driven methods to understand, control and predict complex wall-bounded turbulent flows, such as the boundary layers developing around wings and urban environments. Dr. Vinuesa has received, among others, an ERC Consolidator Grant (the most prestigious research program in Europe), the TSFP Kasagi Award,  the Goran Gustafsson Award for Young Researchers, the IIT Outstanding Young Alumnus Award, the SARES Young Researcher Award and he leads several large Horizon Europe projects. He is also a member of the Young Academy of Science of Spain.

Intended Audience

  • Bachelor and Master’s-level students interested in advancing their knowledge of machine learning approaches and their applications in computational and experimental fluid flow and aerodynamics data.
  • Fluid mechanics and aerodynamics (research) professionals seeking to enhance their understanding of big data analysis.
  • Individuals considering pursuing a PhD in engineering.

Session Details

Session-1 : 30th April, 2024

– Introduction to turbulence

– Coherent structures and turbulence simulations


Session-2 : 2nd May, 2024

– Introduction to deep learning for fluid mechanics

– Spatial predictions and sensing in turbulent flows

Session-3 : 6th May, 2024

– Reduced-order models using auto-encoders and transformers

– Deep reinforcement learning for flow control

Fees of the Workshop

Early Bird Registration : Rs. 1299 + GST

Regular Registration : Rs. 1499 + GST

For International Learners :


Participants who attend all sessions will receive certificates for attending this masterclass session. Once all of the sessions have been completed, the PPTs will be shared. The session recordings will not be provided.

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