Senior Research Associate in Distributed Intelligent Systems
Academic Division: Manufacturing and Management
Research group: Manufacturing Systems
Telephone: TBC
Email: amh226@eng.cam.ac.uk
Research interests
Manuel’s research interests lie in developing predictive analytics, complex networks and graph signal processing methods to implement innovative solutions for a smart and resilient critical infrastructure. His latest work deals with AI-enabled management and maintenance of the UK national infrastructure. This is the case of his participation in granted projects on telecommunication systems, urban water, and 5G ports.
Strategic themes
Energy, transport and urban infrastructure
Urban analytics for infrastructure management (water, energy, telecommunications, transport).
Complex, resilient and intelligent systems
Complexity science, predictive analytics, and graph signal processing for critical infrastructure protection.
Other positions
- Fellow of the Royal Statistical Society (RSS)
- Committee member of the RSS Special Interest Group in Statistical Engineering
Biography
Manuel Herrera is a fellow of the Royal Statistical Society (RSS). He is also a member of the Complex Systems Society, the International Water Association, and the International Association of Critical Infrastructure Protection Professionals. In 2011, Manuel successfully completed his PhD in Hydraulic Engineering at the Universitat Politècnica de València (Spain). For his PhD, he developed a methodology based on semi-supervised learning procedures, including spectral graph theory and agent-based systems, for an efficient management of urban water networks.
After obtaining his PhD degree, Manuel did postdoctoral work at various institutions: Université Libre de Bruxelles (Belgium), Imperial College London (UK), and University of Bath (UK). His work focused on development of multidisciplinary optimization for computational mechanics, big data technologies for smart water networks, and statistical learning approaches for the built environment. In September 2018, Manuel joined the Distributed Information and Automation Laboratory - DIAL - at the Institute for Manufacturing at the University of Cambridge (UK), as a Research Associate in Distributed Intelligent Systems; becoming a Senior Research Associate in October 2021. At DIAL, Manuel works for the Asset Management research group, where he explores novel methodologies for risk and resilience assessment of critical infrastructures within a framework of predictive analytics, complex networks, and graph signal processing. Manuel is a committee member of the RSS Special Interest Group in statistical engineering since 2022. In 2021, Manuel was the recipient of the Frank Hansford-Miller fellowship in applied statistics, awarded by the WA Branch of the Statistical Society of Australia.
Department role and responsibilities