ASMO-UK12 / ASMO-Europe1 / ISSMO Conference on Engineering Design Optimization **POSTPONED**

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Conference date: Monday 13 - Tuesday 14 July 2020 – POSTPONED UNTIL 12 – 13 JULY 2021

Dear colleagues

In the light of the continuing spread of the coronavirus, COVID-19, we have decided that, in order to protect the health and safety of participants and staff, the safest course of action is to postpone our 2020 conference until Monday 12 - Tuesday 13 July 2021.

On behalf of the University of Leeds, we apologise for any inconvenience this causes you. Please do make a note of the new dates, 12 - 13 July 2021, when we will be hosting an excellent event focussing on the exciting international developments in optimisation theory and practice.

We would like to wish you and your families the very best of health during this difficult time and we look forward to welcoming you to Leeds next year.

Kind regards,

Vassili Toropov                         Ozz Querin Secretary of ASMO-UK             Harvey Thompson 
Chairman of ASMO-UK          Secretary of ASMO-UK                              General Conference Secretary

The ASMO-UK/ISSMO series of conferences provides an opportunity for researchers on multi-disciplinary optimisation from within and outside the UK to get together and share experience within a growing community.

We encourage you to attend and present your current research. Application papers are particularly welcome.

After a four-year hiatus, this series of conference is relaunched as the last in the series of ASMO-UK conferences (12th) and the first in the new series ASMO-Europe.

Conference topics

Conference topics include, but are not exclusive to:

  • constraint handling (manufacturing constraints, non-constant constraints etc)Table Properties
  • design of experiments, sampling techniques
  • design, package, cost or process optimisation
  • distributed computing in design optimisation
  • education in engineering optimisation
  • fluid optimisation
  • industrial applications (all fields)
  • integration of optimisation in the design and manufacturing process
  • inverse problems
  • meta-modelling, surrogate models
  • multi-disciplinary / multi-physics optimisation
  • multi-objective optimisation
  • numerical aspects of optimisation
  • optimisation algorithms
  • optimisation for MEMS, nanotechnology, etc
  • optimisation under uncertainty, noise
  • reliability and robust design optimisations
  • sensitivity analysis
  • structural optimisation (FEM, BEM, MBS etc)
  • topology, shape and sizing optimisation

Keynote speakers

Dr. H Alicia Kim, Jacobs Scholar Chair Professor, Structural Engineering Department,
University of California, San Diego, USA
“Multiscale Multiphysics Topology Optimization”
Dr H Alicia Kim is Jacobs Scholar Chair Professor in the Structural Engineering Department of the University of California San Diego. She leads the Multiscale Multiphysics Design Optimization (M2DO) lab. Her interests are in level set topology optimization, multiscale and multiphysics optimization, modeling and optimization of composite materials and multifunctional structures. She has published over 200 journal and conference papers in these fields including award winning papers at the AIAA conferences and World Congresses on Structural and Multidisciplinary Optimization. She is a prestigious EPSRC Fellow for Growth. Her research in topology optimization began in the 90’s at the University of Sydney, Australia where she developed one of the first boundary based topology optimization methods. She continued her research at the University of Warwick and the University of Bath, UK for 15 years before moving to the current position in 2015.

Dr. Ingrid Lepot, Research & Technology Manager, Cenaero, Belgium
"Selected Challenges in Multi-disciplinary Optimization and Design for Manufacturing in Aeronautics"
Upon obtaining her PhD in Aeronautical Engineering from the University of Liège, Belgium, Dr Ingrid Lepot joined Cenaero in 2004 as Research Scientist within the CFD - multi-physics group, taking in charge the development of Cenaero's turbomachinery-oriented CFD activities first in the frame of the FP6 VITAL project, with focus on the simulation and understanding of passive stall delaying devices for the low pressure compressor, then both in the frame of varied research projects and in consulting activities for the industry. Early 2007, she was appointed leader of the Numerical Methods and Optimization Group, whose expertise lies in the development and exploitation of surrogate-based optimization strategies with a focus on turbomachinery CFD-based multi-disciplinary design, and technically coordinated Cenaero's MDO contribution to European projects from the 6th, 7th and H2020 work programmes (VITAL, NEWAC, DREAM, ERICKA, LAPCAT I/II, FAST20XX, VIVACE, TOICA, ENOVAL, CleanSky 1 & 2 projects), regional projects and consulting studies. Since 2012, she is in charge of the coordination of Research and Technology activities across all Cenaero teams, with a specific focus on leveraging multi-disciplinary competencies and integrated process/product design methodologies. Her research interests include machine learning, surrogate-assisted optimization, data mining, CFD, multi-disciplinary simulations and coupling, turbomachinery design, design for manufacturing, high performance computing and parallel processing.

Cenaero is an Applied Research Center providing to any company, involved in a technology innovation process, high fidelity numerical simulation methods and tools to invent, design and manufacture more competitive products. Cenaero is a growing team of 50+ highly skilled engineers and scientists specialised in numerical methods, materials and process modelling, computational fluid dynamics, physics and applied mathematics. Since 2007, Cenaero is a core research partner of the Safran Group. Mainly active in Aeronautics, Cenaero also actively increases the transfer and the application of its technologies to surface transport, energy, health and sustainable development. Research and technology development and service activities are organised according to two development teams (Minamo, Computational Multi-Physics Software Development) and six multi-disciplinary skill-centered application teams (Turbomachinery Multi-Physics Simulation & Design in Belgium and France, Methods for Structural Applications & Processes, Energy & Buildings, Biomedical Engineering and High Performance Computing).

Expert Panel Session on the Future Direction of MDO
Dr Carren Holden
, Airbus (Chair)
Further details coming soon