Pau Herrero-Viñas holds a Ph.D. degree on Automation Technologies by University of Angers (France) and University of Girona (Spain).
After receiving his Ph.D., Pau did a postdoctoral stay at the University of California Santa Barbara (USA) working on diabetes technology projects. He then spent two years at the Autonomous University of Barcelona/Hospital de Sant Pau (Spain) leading different eHealth projects related to the prevention of metabolic diseases.
He is currently a Research Fellow within the Department of Electrical & Electronic Engineering at Imperial College London. His main research interest lies in developing biomedical control systems and intelligent clinical decision support systems for diabetes and infectious diseases management.
et al., 2019, Differences for Percentage Times in Glycemic Range Between Continuous Glucose Monitoring and Capillary Blood Glucose Monitoring in Adults with Type 1 Diabetes: Analysis of the REPLACE-BG Dataset., Diabetes Technol Ther
et al., 2019, The bio-inspired artificial pancreas for type 1 diabetes control in the home: System architecture and preliminary results, Journal of Diabetes Science and Technology, Vol:13, ISSN:1932-2968, Pages:1017-1025
et al., 2019, Long-term glucose forecasting using a physiological model and deconvolution of the continuous glucose monitoring signal, Sensors, Vol:19, ISSN:1424-8220, Pages:1-19
et al., 2019, Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers, Ieee Journal of Biomedical and Health Informatics, ISSN:2168-2194
et al., 2019, Coordinated dual-hormone artificial pancreas with parallel control structure, Computers & Chemical Engineering, Vol:128, ISSN:0098-1354, Pages:322-328