Imperial College London

Dr Pau Herrero-Viñas

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Fellow
 
 
 
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Contact

 

p.herrero-vinias CV

 
 
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Location

 

B422Bessemer BuildingSouth Kensington Campus

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Summary

 

Summary

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

Publications

Journals

Liu C, Vehí J, Avari P, et al., Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal, Sensors, Vol:19, Pages:4338-4338

Guemes A, Cappon G, Hernandez B, 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

Moscardo V, Herrero P, Diez J-L, et al., 2019, Coordinated dual-hormone artificial pancreas with parallel control structure, Computers & Chemical Engineering, Vol:128, ISSN:0098-1354, Pages:322-328

Li K, Liu C, Zhu T, et al., 2019, GluNet: A deep learning framework for accurate glucose forecasting., Ieee Journal of Biomedical and Health Informatics, ISSN:2168-2194, Pages:1-9

Cappon, Facchinetti., Sparacino., et al., 2019, Classification of postprandial glycemic status with application to insulin dosing in type 1 diabetes—an in silico proof-of-concept, Sensors, Vol:19, ISSN:1424-8220, Pages:3168-3168

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