Pau Herrero

Pau Herrero

Imperial College London

H-index: 34

Europe-United Kingdom

About Pau Herrero

Pau Herrero, With an exceptional h-index of 34 and a recent h-index of 28 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Control engineering, artificial intelligence, machine learning, diabetes technology, anti-microbial resistance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Development and validation of binary classifiers to predict nocturnal hypoglycemia in adults with type 1 diabetes

Safety and efficacy of an adaptive bolus calculator for type 1 diabetes: a randomized controlled crossover study

Glugan: Generating personalized glucose time series using generative adversarial networks

Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

Prediction of Nocturnal Hypogycaemia in Adults with Type 1 Diabetes using Machine Learning Classifiers

An in silico head-to-head comparison of the do-it-yourself artificial pancreas loop and bio-inspired artificial pancreas control algorithms

Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta-learning

Enhancing self-management in type 1 diabetes with wearables and deep learning

Pau Herrero Information

University

Position

___

Citations(all)

3407

Citations(since 2020)

2560

Cited By

1623

hIndex(all)

34

hIndex(since 2020)

28

i10Index(all)

70

i10Index(since 2020)

60

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Pau Herrero Skills & Research Interests

Control engineering

artificial intelligence

machine learning

diabetes technology

anti-microbial resistance

Top articles of Pau Herrero

Title

Journal

Author(s)

Publication Date

Development and validation of binary classifiers to predict nocturnal hypoglycemia in adults with type 1 diabetes

Ioannis Afentakis

Rebecca Unsworth

Pau Herrero

Nick Oliver

Monika Reddy

...

2023/7/11

Safety and efficacy of an adaptive bolus calculator for type 1 diabetes: a randomized controlled crossover study

Diabetes Technology & Therapeutics

Rebecca Unsworth

Ryan Armiger

Narvada Jugnee

Maria Thomas

Pau Herrero

...

2023/6/1

Glugan: Generating personalized glucose time series using generative adversarial networks

IEEE Journal of Biomedical and Health Informatics

Taiyu Zhu

Kezhi Li

Pau Herrero

Pantelis Georgiou

2023/5/3

Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

Peter G Jacobs

Pau Herrero

Andrea Facchinetti

Josep Vehi

Boris Kovatchev

...

2023/11/9

Prediction of Nocturnal Hypogycaemia in Adults with Type 1 Diabetes using Machine Learning Classifiers

Authorea Preprints

Ioannis Afentakis

Rebecca Unsworth

Pau Herrero

Nick Oliver

Monica Reddy

...

2023/10/30

An in silico head-to-head comparison of the do-it-yourself artificial pancreas loop and bio-inspired artificial pancreas control algorithms

Journal of Diabetes Science and Technology

Ryan Armiger

Monika Reddy

Nick S Oliver

Pantelis Georgiou

Pau Herrero

2022/1

Personalized blood glucose prediction for type 1 diabetes using evidential deep learning and meta-learning

IEEE Transactions on Biomedical Engineering

Taiyu Zhu

Kezhi Li

Pau Herrero

Pantelis Georgiou

2022/7/1

Enhancing self-management in type 1 diabetes with wearables and deep learning

npj Digital Medicine

Taiyu Zhu

Chukwuma Uduku

Kezhi Li

Pau Herrero

Nick Oliver

...

2022/6/27

Identifying continuous glucose monitoring data using machine learning

Diabetes Technology & Therapeutics

Pau Herrero

Monika Reddy

Pantelis Georgiou

Nick S Oliver

2022/6/1

IoMT-enabled real-time blood glucose prediction with deep learning and edge computing

IEEE Internet of Things Journal

Taiyu Zhu

Lei Kuang

John Daniels

Pau Herrero

Kezhi Li

...

2022/1/14

Closed-loop control of continuous piperacillin delivery: An in silico study

Frontiers in Bioengineering and Biotechnology

Pau Herrero

Richard C Wilson

Ryan Armiger

Jason A Roberts

Alison Holmes

...

2022/10/20

A deep learning framework for automatic meal detection and estimation in artificial pancreas systems

Sensors

John Daniels

Pau Herrero

Pantelis Georgiou

2022/1

Impact of different types of data loss on optimal continuous glucose monitoring sampling duration

Diabetes Technology & Therapeutics

Halis Kaan Akturk

Pau Herrero

Nick Oliver

Haley Wise

Emma Eikermann

...

2022/10/1

A real-world evaluation of a case-based reasoning algorithm to support antimicrobial prescribing decisions in acute care

Clinical Infectious Diseases

Timothy M Rawson

Bernard Hernandez

Luke SP Moore

Pau Herrero

Esmita Charani

...

2021/6/15

Safety and feasibility of the PEPPER adaptive bolus advisor and safety system: a randomized control study

Diabetes Technology & Therapeutics

Parizad Avari

Yenny Leal

Pau Herrero

Marzena Wos

Narvada Jugnee

...

2021/3/1

Optimizing antimicrobial use: challenges, advances and opportunities

Timothy M Rawson

Richard C Wilson

Danny O’Hare

Pau Herrero

Andrew Kambugu

...

2021/12

Blood glucose prediction in type 1 diabetes using deep learning on the edge

Taiyu Zhu

Lei Kuang

Kezhi Li

Junming Zeng

Pau Herrero

...

2021/5/22

Live demonstration: an IoT wearable device for real-time blood glucose prediction with edge AI

Lei Kuang

Taiyu Zhu

Kezhi Li

John Daniels

Pau Herrero

...

2021/10/7

Robust determination of the optimal continuous glucose monitoring length of intervention to evaluate long-term glycemic control

Diabetes Technology & Therapeutics

Pau Herrero

Antonia Alalitei

Monika Reddy

Pantelis Georgiou

Nick Oliver

2021/4/1

Is a cloud-based platform useful for diabetes management in Colombia? The Tidepool experience

Computer Methods and Programs in Biomedicine

Fabian León-Vargas

Clare Martin

Maira Garcia-Jaramillo

Arantza Aldea

Yenny Leal

...

2021/9/1

See List of Professors in Pau Herrero University(Imperial College London)

Co-Authors

H-index: 71
Chris Toumazou

Chris Toumazou

Imperial College London

H-index: 47
Pantelis Georgiou

Pantelis Georgiou

Imperial College London

H-index: 41
Dr Luke SP Moore

Dr Luke SP Moore

Imperial College London

H-index: 37
Josep Vehi

Josep Vehi

Universidad de Gerona

H-index: 28
Jorge Bondia

Jorge Bondia

Universidad Politécnica de València

H-index: 15
Clare Martin

Clare Martin

Oxford Brookes University

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