Professor Chris Freeman

Professor Chris Freeman

University of Southampton

H-index: 41

Europe-United Kingdom

About Professor Chris Freeman

Professor Chris Freeman, With an exceptional h-index of 41 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Southampton, specializes in the field of Control, Rehabilitation, Iterative Learning, Electrical Stimulation.

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

Neural network based ILC with application to FES electrode arrays

Decentralised collaborative iterative learning control for multi-agent systems point-to-point channel tracking

Parameterised function ILC with application to stroke rehabilitation

Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

Iterative learning control algorithms and experimental benchmarking

Multiple model iterative learning control for FES-based stroke rehabilitation

Iterative learning control for piecewise arc path tracking with validation on a gantry robot manufacturing platform

Multiple model iterative learning control with application to upper limb stroke rehabilitation

Professor Chris Freeman Information

University

Position

___

Citations(all)

5875

Citations(since 2020)

2636

Cited By

4336

hIndex(all)

41

hIndex(since 2020)

30

i10Index(all)

107

i10Index(since 2020)

67

Email

University Profile Page

University of Southampton

Google Scholar

View Google Scholar Profile

Professor Chris Freeman Skills & Research Interests

Control

Rehabilitation

Iterative Learning

Electrical Stimulation

Top articles of Professor Chris Freeman

Title

Journal

Author(s)

Publication Date

Neural network based ILC with application to FES electrode arrays

Xiaoru Sun

Chris Freeman

2024/1/24

Decentralised collaborative iterative learning control for multi-agent systems point-to-point channel tracking

Shangcheng Chen

Chris Freeman

2024/1/24

Parameterised function ILC with application to stroke rehabilitation

Control Engineering Practice

Xiaoru Sun

Chris T Freeman

2024/4/1

Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

Frontiers in big Data

Shekhar Mahmud

Mohammed Mansour

Turker Berk Donmez

Mustafa Kutlu

Chris Freeman

2023/11/3

Iterative learning control algorithms and experimental benchmarking

Eric Rogers

Bing Chu

Christopher Freeman

Paul Lewin

2023/1/12

Multiple model iterative learning control for FES-based stroke rehabilitation

Junlin Zhou

Christopher T Freeman

William Holderbaum

2023/5/31

Iterative learning control for piecewise arc path tracking with validation on a gantry robot manufacturing platform

ISA transactions

Yiyang Chen

Christopher T Freeman

2023/8/1

Multiple model iterative learning control with application to upper limb stroke rehabilitation

Junlin Zhou

Christopher T Freeman

William Holderbaum

2023/5/3

Anemia detection through non-invasive analysis of lip mucosa images

Frontiers in big Data

Shekhar Mahmud

Turker Berk Donmez

Mohammed Mansour

Mustafa Kutlu

Chris Freeman

2023/10/19

Respiratory Diseases Prediction from a Novel Chaotic System

Chaos Theory and Applications

Mohammed Mansour

Turker Berk Donmez

Mustafa Çağrı Kutlu

Chris Freeman

2023/3/3

Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images (Frontiers in Big Data,(2023), 6,(1241899), 10.3389/fdata. 2023.1241899)

Frontiers in Big Data

Shekhar Mahmud

Turker Berk Donmez

Mohammed Mansour

Mustafa Kutlu

Chris Freeman

2023

A hybrid orthosis combining functional electrical stimulation and soft robotics for improved assistance of drop-foot

Medical Engineering & Physics

Lucy Hodgins

Chris T Freeman

2023/5/1

Multiple Model Switched Repetitive Control with Application to Tremor Suppression

Tingze Fang

Christopher T Freeman

2023/5/31

Introducing Vibration for use in Interaction Designs to support Human Performance: A Pilot Study

arXiv preprint arXiv:2304.10546

Alexander Dawid Bincalar

MC Schraefel

Christopher Freeman

2023/4/14

RELEASE (REdressing Long-tErm Antidepressant uSE): protocol for a 3-arm pragmatic cluster randomised controlled trial effectiveness-implementation hybrid type-1 in general practice

Trials

Katharine A Wallis

Maria Donald

Mark Horowitz

Joanna Moncrieff

Robert S Ware

...

2023/9/28

Parametrised Function ILC with application to FES Electrode Arrays

Xiaoru Sun

Chris T Freeman

2022/6/8

Disturbance observer-based predictive repetitive control with constraints

International Journal of Control

Liuping Wang

Chris T Freeman

Eric Rogers

2022/4/3

Model Predictive Valve Control of Lung Pressure Profile Tracking

Michael Callum Thompson

Christopher T Freeman

Neil O’Brien

A-M Hughes

Tony Birch

...

2022/11/24

How to train your agent: active learning from human preferences and justifications in safety-critical environments

Ilias Kazantzidis

Timothy Norman

Yali Du

Christopher Freeman

2022/5/9

A SNAPSHOT ASSESSMENT OF TELEHEALTH COMPETENCIES ACROSS FOUR YEARS OF MEDICAL SCHOOL

Journal of General Internal Medicine

AM Lee

S Sukhdeo

M Kwak

C Chen

K Wong

...

2022

See List of Professors in Professor Chris Freeman University(University of Southampton)

Co-Authors

H-index: 52
John Tudor

John Tudor

University of Southampton

H-index: 50
Jane Burridge

Jane Burridge

University of Southampton

H-index: 43
Paul Lewin

Paul Lewin

University of Southampton

H-index: 39
Krzysztof Galkowski

Krzysztof Galkowski

Uniwersytet Zielonogórski

H-index: 32
Ivan Markovsky

Ivan Markovsky

Vrije Universiteit Brussel

H-index: 30
Ann-Marie Hughes

Ann-Marie Hughes

University of Southampton

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