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

Guemes A, Cappon G, Hernandez B, et al., 2020, Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers, Ieee Journal of Biomedical and Health Informatics, Vol:24, ISSN:2168-2194, Pages:1439-1446

Rawson TM, Hernandez B, Moore L, et al., 2020, A real-world evaluation of a Case-Based Reasoning algorithm to support antimicrobial prescribing decisions in acute care, Clinical Infectious Diseases, ISSN:1058-4838

Moscardó V, Herrero P, Reddy M, et al., 2020, Assessment of Glucose Control Metrics by Discriminant Ratio., Diabetes Technol Ther

Conference

Avari P, Leal Y, Wos M, et al., 2020, Efficacy and safety of the patient empowerment through predictive personalised decision support (pepper) system: an open-label randomised controlled trial, The conference name (including place and date(s) of the conference): 13th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD 2020), Mary Ann Liebert, Pages:A104-A104, ISSN:1520-9156

Herrero P, Alalitei A, Reddy M, et al., 2020, Robust determination of the optimal continuous glucose monitoring length of intervention to evaluate long-term glycaemic control, 13th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD 2020), Mary Ann Liebert, Pages:A130-A130, ISSN:1520-9156

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