# Event Details

- **Event Name**: Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs
- **Event Start and End Date**: Fri, 17 Jul, 2026 at 11:00 am – Fri, 17 Jul, 2026 at 12:00 pm
- **Event Description**: Dr Nausheen Basha will be presenting Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs as part of the SciML seminars.About this EventA hybrid event held by the SciML Community at Leeds Institute for Data Analytics (LIDA)Simulation-driven engineering design poses two challenges: optimising over expensive black-box functions defined on high-dimensional geometry spaces, and learning solution operators for complex physical systems such as multiphase flows that need non-standard discretisation. We address both.For chemical reactor design, we formulate geometry optimisation as a multi-fidelity black-box problem and solve it with a GP surrogate and cost-adjusted acquisition function that adaptively allocates evaluations across computational fluid dynamic fidelities (CFD), recovering high performing geometries under a fixed compute budget. For two-phase nozzle flows, where adaptive mesh refinement produces irregular, geometry-dependent discretisations, we learn a neural operator that maps AMR cell-density fields to a compact latent via a Fourier Neural Operator, and decode transient flow trajectories. Together, these works establish physics-informed representation learning as a unifying principle for tractable, data-efficient simulation-driven design.Bio: I am an Assistant Professor in Chemical Engineering at the University of Manchester, specialising in Digital Manufacturing and AI. I am building a research group focused on machine learning for engineering systems, combining computational fluid dynamics, optimisation, and advanced manufacturing to accelerate the design of next-generation chemical technologies. Previously, I was a Research Associate in the Department of Chemical Engineering at Imperial College London.
- **Event URL**: https://allevents.in/leeds/efficient-optimisation-and-surrogate-learning-for-fluid-dynamics-designs/100001990778850131
- **Event Categories**: performances, workshops, entertainment, nonprofit
- **Interested Audience**: 
  - total_interested_count: 0
- **Event Highlights**: 
  - Duration: 1 hour
  - Location: Worsley Building Room 11.87
  - Languages: English

## Ticket Details

- **Ticket Price Range**: min: 0, max: 0, currency: GBP

## Event venue details

- **city**: Leeds
- **state**: EN
- **country**: United Kingdom
- **location**: Worsley Building Room 11.87
- **lat**: 53.8036002
- **long**: -1.5547999
- **full address**: Worsley Building Room 11.87, Clarendon Way, Leeds, United Kingdom

## Event gallery

- **Alt text**: Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs
  - **Image URL**: https://cdn-az.allevents.in/events9/banners/4067d0e86773052f3bb58c60c8b452646e05ee37b0244fc0f60040568e9828f3-rimg-w1200-h800-dc020301-gmir.jpg?v=1781260910

## FAQs

- **Q**: When and where is Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs being held?
  - **A:** Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs takes place on Fri, 17 Jul, 2026 at 11:00 am to Fri, 17 Jul, 2026 at 12:00 pm at Worsley Building Room 11.87, Clarendon Way, Leeds, United Kingdom.
- **Q**: Who is organizing Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs?
  - **A:** Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs is organized by Leeds Institute for Data Analytics.
- **Q**: Who is this event for? Is it right for me?
  - **A:** Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs is ideal for curious learners, students, and skill-builders looking to gain hands-on knowledge and practical expertise in a focused, interactive setting. Whether you're a first-time attendee or a longtime enthusiast in Leeds, this event is thoughtfully curated to deliver a standout experience worth every moment. If Efficient Optimisation & Surrogate Learning for Fluid Dynamics Designs sounds like your kind of event, don't wait - spots fill up fast.

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