David Garcia Cava

DR

Accepting PhD Students

PhD projects

Highly qualified and motivated candidates with funding or plans to obtain funding should get in touch to discuss PhD positions on the following topics: Vibration-based Structural Health Monitoring, Structural dynamics, Modal Analysis, Virtual sensing, Condition monitoring, Machinery diagnosis, Data driven techniques, Virtual twins with emphasis in composite laminated structures, Wind and Tidal energy. Please provide a one-page research proposal.

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Personal profile

Biography

I am David Garcia Cava a very enthusiastic Chancellor's Fellow in the School of Engineering at the University of Edinburgh, who introduces innovation in the investigation. My main research interests are structural vibrations, structural health monitoring, damage identification, multifunctional advanced materials, composite laminated structures and condition monitoring. One of my latest research project is on the study and development of Structural Health Monitoring methodologies for reducing maintenance cost and extending the useful life of new and/or existing structures by adding value with smart algorithms for decision making. I had the opportunity to work in international projects where I combined my findings with interdisciplinary teams. I have collaborated with industry, nationally and internationally, for enabling new technologies in practical applications as well as for building on existing capability and excellence, bringing academia and business together to drive long-term economic growth and benefit society. I also have experience in lecturing and supervising final project dissertation for BEng, MEng and MSc level. I have organise workshops and conferences and I have been invited to deliver some lectures. As an individual, I have always been attracted both professionally and personally by exciting and challenging projects

Research students

  • Callum Roberts: Structural health monitoring methodology for wind turbine blades under variable environmental and operational conditions.
  • Artur Movsessian: Machine learning for enhancing damage detection in structural health monitoring methodologies of wind turbine blades.
  • Mateusz Stajuda: Exploring the cutting edge technologies of data-driven safety systems for centrifugal compressor.
  • Fraser Anderson: Investigation of the causes of wind turbine underperformance

Education/Academic qualification

Academic Practice , Postgraduate Diploma, University of Strathclyde

Award Date: 5 Sep 2019

Mechanical Engineering, Doctor of Philosophy (PhD), University of Strathclyde

Award Date: 28 Jun 2016

Advanced Structural Engineering, Master in Science, Edinburgh Napier University

Award Date: 22 Oct 2012

Mechanical Engineering, Bachelor of Engineering, Universidad Politécnica de Madrid

Award Date: 1 Sep 2006

External positions

Lecturer, University of Strathclyde

Jun 2017Oct 2019

Teaching Associate, University of Strathclyde

Jun 2016Sep 2017

Structural Engineer

May 2008Oct 2010

Structural Engineer, SGS Tecnos

Jul 2006May 2008

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