OED2018 Speaker Spotlight – Satoshi Ishiguro

OED2018 Speaker Spotlight – Satoshi Ishiguro


Optimising the Future of Mobility

The challenges of personal mobility, from concept to production, offer a series of complex issues to solve.  The affordability aspect is important, as they need to be accessible to people from all walks of life.  They are required to be lightweight and efficient, making economical use of materials that are beneficial to society while delivering the desired level of high performance.

Satoshi Ishiguro and HVD aim to deliver a new generation of machines, designed to change Japanese transportation in a way that is good for the environment, beneficial to society through more efficient use of urban space and ultimately offering freedom for all. GRM were consulted to provide optimisation methods to enhance important components and the overall performance of the vehicles.


“Why do we work with GRM? We need CAE calculation solutions for a better design output, because we have the courage and the creativity to design these things, and GRM has the CAE technology. The future of design doesn’t come from intuition or some big effort, but comes from high technologies and a good vision of the future.”


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Speaker Biography


Satoshi Ishiguro San has a Masters of Engineering and a degree in Electromechanical Engineering from Nagoya University in Japan.  
He worked as an Assistant Manager for Toyota, serving the company for ten years, between 2001-2011, delivering a variety of  projects, working across body structure design, platform planning and design and product planning.
Leaving in 2011 to set up 14Lab, a division of HVD, he is the lead Product Designer and Engineering Consultant, working on some exciting projects that have included the world's largest skateboard!
Dedicated to personal mobility, there are some innovative designs that have been showcased throughout Japan and with GRM's support, are being turned into reality.

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Optimising the Future of Mobility

Optimising the Future of Mobility

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RG SS IMAGE TRAIN SEAT CASE STUDY IMAGE V2 CH SS IMAGE  

Complex Flow Problems: An Application of Empirical Design, CFD, Test and Optimisation Methods

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