Dr. Pedro Baiz is the first Royal Society Entrepreneur in Residence at Imperial College London. He is currently based in the Department of Computing, specifically the Adaptive Emergent Systems Engineering Group.
His main research interests are in the broad field of Data Technologies (e.g. Machine Learning, Internet of Things, Distributed Ledgers) to support the 17 Sustainable Development Goals (SDGs). His recent research focuses in the growing field of Sustainable Finance in order to help linking "Real Economy" (non-financial) systems with the Financial system.
Non-financial systems include all the potential areas of application for Cyber Physical Systems (Internet of Things) in combination with Data Science techniques, such as:
- Energy (e.g. Smart Grid, Smart Energy Systems)
- Transport (e.g. Electric Vehicles)
- Materials and Buildings (e.g. Smart Buildings)
- Agriculture (e.g. Smart Farming)
The financial aspects of the research evolve around ESG (Environmental, Social, and Governance) characteristics of investments. His current work is based on international initiatives such as the Task Force on Climate-related Financial Disclosures (TCFD recommendations).
Toolabi M, Fallah AS, Louca L, 2018, Enhanced mixed interpolation XFEM formulations for discontinuousTimoshenko beam and Mindlin-Reissner plate, International Journal for Numerical Methods in Engineering, Vol:115, ISSN:0029-5981, Pages:714-737
et al., 2018, Predictions of the electro-mechanical response of conductive CNT-polymer composites, Journal of the Mechanics and Physics of Solids, Vol:114, ISSN:0022-5096, Pages:84-96
et al., 2017, Case study for the return on investment of Internet of Things using agent-based modelling and data science, Systems, Vol:5, ISSN:2079-8954
et al., 2016, A new algorithm to generate representative volume elements of composites with cylindrical or spherical fillers, Composites Part B - Engineering, Vol:110, ISSN:1359-8368, Pages:267-278
et al., 2015, Modeling delamination migration in cross-ply tape laminates, Composites Part A-applied Science and Manufacturing, Vol:71, ISSN:1359-835X, Pages:192-203