A. Aldo Faisal

A. Aldo Faisal

Imperial College London

H-index: 37

Europe-United Kingdom

About A. Aldo Faisal

A. Aldo Faisal, With an exceptional h-index of 37 and a recent h-index of 32 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of AI for Healthcare, Reinforcement Learning, Neurotechnology, Computational Neuroscience, Behavior Analytics.

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

The'Sandwich'meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding

Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning

Bridging the equity gap towards inclusive artificial intelligence in healthcare diagnostics

Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning

Motor Learning Mechanisms are not modified by Feedback Manipulations in a Real-World Task

Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians

Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study

Towards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning

A. Aldo Faisal Information

University

Position

Professor of AI & Neuroscience; Director Centre AI4Health @ ; UKRI Turing AI Fellow

Citations(all)

9440

Citations(since 2020)

6252

Cited By

5373

hIndex(all)

37

hIndex(since 2020)

32

i10Index(all)

101

i10Index(since 2020)

83

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

A. Aldo Faisal Skills & Research Interests

AI for Healthcare

Reinforcement Learning

Neurotechnology

Computational Neuroscience

Behavior Analytics

Top articles of A. Aldo Faisal

Title

Journal

Author(s)

Publication Date

The'Sandwich'meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding

arXiv preprint arXiv:2404.06868

Xiaoxi Wei

Jyotindra Narayan

A Aldo Faisal

2024/4/10

Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning

arXiv preprint arXiv:2403.00854

Lauren Stumpf

Balasundaram Kadirvelu

Sigourney Waibel

A Aldo Faisal

2024/2/29

Bridging the equity gap towards inclusive artificial intelligence in healthcare diagnostics

See Chai Carol Chan

Ana Luisa Neves

Azeem Majeed

Aldo Faisal

2024/2/29

Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning

Advances in Neural Information Processing Systems

Arnaud Robert

Ciara Pike-Burke

Aldo A Faisal

2024/2/13

Motor Learning Mechanisms are not modified by Feedback Manipulations in a Real-World Task

bioRxiv

Federico Nardi

Aldo A Faisal

Shlomi Haar

2024

Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians

Finneas Jacob Robson Catling

Myura Nagendran

Paul Festor

Zuzanna Bien

Steve Harris

...

2023

Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study

JMIR Formative Research

Balasundaram Kadirvelu

Teresa Bellido Bel

Xiaofei Wu

Victoria Burmester

Shayma Ananth

...

2023/6/26

Towards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning

Nat Wannawas

A Aldo Faisal

2023/9/24

EEG decoding for datasets with heterogenous electrode configurations using transfer learning graph neural networks

Journal of Neural Engineering

Jinpei Han

Xiaoxi Wei

A Aldo Faisal

2023/12/12

Finite-state Offline Reinforcement Learning with Moment-based Bayesian Epistemic and Aleatoric Uncertainties

Filippo Valdettaro

Aldo A Faisal

2023/7/20

Research briefing

Victor L Ríos

Pavan Ramdya

2022/5/11

Towards ai-controlled fes-restoration of arm movements: neuromechanics-based reinforcement learning for 3-d reaching

Nat Wannawas

A Aldo Faisal

2023/4/24

Bill-EVR: An Embodied Virtual Reality Framework for Reward-and-Error-Based Motor Rehab-Learning

Federico Nardi

Shlomi Haar

A Aldo Faisal

2023/9/24

Movement indication

2023/11/14

Interaction of doctors with explainable RL decision support via behavioural readouts of eye-tracking

Myura Nagendran

Paul Festor

Matthieu Komorowski

Anthony C Gordon

Aldo A Faisal

2023/7/20

A wearable motion capture suit and machine learning predict disease progression in Friedreich’s ataxia

Nature Medicine

Balasundaram Kadirvelu

Constantinos Gavriel

Sathiji Nageshwaran

Jackson Ping Kei Chan

Suran Nethisinghe

...

2023/1

Federated deep transfer learning for EEG decoding using multiple BCI tasks

Xiaoxi Wei

A Aldo Faisal

2023/4/24

Physics-informed reinforcement learning via probabilistic co-adjustment functions

arXiv preprint arXiv:2309.05404

Nat Wannawas

A Aldo Faisal

2023/9/11

Quantifying the impact of AI recommendations with explanations on prescription decision making

NPJ Digital Medicine

Myura Nagendran

Paul Festor

Matthieu Komorowski

Anthony C Gordon

Aldo A Faisal

2023/11/7

Adversarial Distributional Reinforcement Learning against Extrapolated Generalization

Luchen Li

Aldo A Faisal

2023/7/20

See List of Professors in A. Aldo Faisal University(Imperial College London)

Co-Authors

H-index: 108
Daniel Wolpert

Daniel Wolpert

Columbia University in the City of New York

H-index: 67
Leo Anthony Celi

Leo Anthony Celi

Massachusetts Institute of Technology

H-index: 63
Simon B Laughlin

Simon B Laughlin

University of Cambridge

H-index: 58
Anthony Gordon

Anthony Gordon

Imperial College London

H-index: 52
Finale Doshi-Velez

Finale Doshi-Velez

Harvard University

H-index: 34
Dietrich Stout

Dietrich Stout

Emory & Henry College

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