Dr. David Knezevic is the CTO of Akselos. In this role, he has led Akselos’ technology development in order to deliver advanced digital twin technologies for critical assets to a range of industries. Akselos’ digital twin technology is built on a core reduced order modeling platform that enables a 1000x speedup compared to current generation analysis tools, while preserving full accuracy and capturing complex physics. David Knezevic is from Perth, Western Australia. He completed his undergraduate degree in Mathematics, Computer Science and Electrical Engineering at the University of Western Australia, and was awarded a Rhodes Scholarship to pursue graduate studies at the University of Oxford in the UK. David's Ph.D. at Oxford focused on computational simulations which required development of advanced new numerical methods, as well as extensive use of supercomputing. After finishing at Oxford in 2008, Dr. Knezevic joined Prof. A.T. Patera’s group at MIT, where he worked on the Reduced Basis method that is the foundation of Akselos' technology. Dr. Knezevic was part of the team that won the largest Deshpande innovation grant at MIT in 2011, which secured the launch of Akselos. In parallel, Dr. Knezevic moved to a new position as a Lecturer in the Institute for Applied Computational Science at Harvard University in 2011. David taught graduate courses on scientific computing at Harvard (Advanced Numerical Methods & Computational Fluid Dynamics), and he has been awarded several Certificates of Teaching Excellence. David has expertise in a range of areas related to computational engineering, including applied mathematics, computer science, software engineering and supercomputing. He has 16 articles published in peer-reviewed academic journals and has presented his research at many technical conferences around the world.
An operator was experiencing high FPSO maintenance expenses, due to complex inspection and maintenance workflows that required a data-driven approach to provide actionable maintenance insights. Using the Akselos structural Digital Twin, the supermajor is achieving 5x ROI for the engineering workflow, enabling structural analysis as frequently as new inspection data is available
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