The Discrete Element Method

Kit Windows-Yule is a Turing Fellow, a Royal Society Industry Fellow, a two-time Royal Academy of Engineering Industrial Fellow, an Innovate UK BridgeAI Independent Scientific Advisor, and Associate Professor of Chemical Engineering at the University of Birmingham. He has extensive experience applying the Discrete Element Method to a wide range of industrial applications through >GBP1M of funded projects with companies spanning 8 industrial sectors, in addition to >GBP3M in DEM-focused grant funding from EPSRC, the Royal Academy of Engineering, the Royal Society, Innovate UK and other sources. Following the establishment of a detailed Best Practice for the calibration of DEM simulations through his work as an IFPRI consultant, he is currently working with ASTM International to develop the world?s first official Standard relating to DEM.

Andrei Leonard Nicusan is a doctoral researcher at the University of Birmingham focusing on data-driven engineering across scales; he published featured articles and Scientific Highlights on machine learning-based algorithms and applications for industrial use. He actively develops open-source libraries in over 10 programming languages, including the PEPT library, which was adopted worldwide, ACCES, an evolutionary calibration and optimisation framework and M2E3D, for data-driven correlation discovery. His frameworks are actively being used in projects with companies such as AstraZeneca, GlaxoSmithKline, Unilever, Mondelez, JDE, GranuTools. He led the International Fine Particle Research Institute?s industry-spanning DEM calibration study, co-producing a detailed industrial Best Practice for DEM and is currently working on the first ASTM Standard for DEM calibration alongside Dr. Kit Windows-Yule.