Intelligence applied

Imperial + AI

An initiative of Imperial College London

Industry, Interdisciplinary, Foundations and Applications

Our vision is unique

A new way for academia and industry to collaborate deeply, using machine learning to tackle our greatest challenges and throwing out the rule book for the university.

Leading advances in AI and its applications

Find out more about I-X

Our
research

Privacy and Security for Human Centred AI Explainable, Safe & Robust AI

In this research theme we will investigate the privacy threats and security risk and solutions facing our personal data and devices around us in the next decade.

Intelligible AI (IAI) Explainable, Safe & Robust AI

This is a multidisciplinary research initiative for the development and delivery of Intelligible AI (IAI), a new generation of AI systems that brings together interpretable, explainable and safe AI technologies to help develop IAI-empowered systems that are understood and trusted by humans.

Artificial & Human Intelligence (Human AI) Humans & AI

We propose to capture real-world human behaviour that can drive Human AI research.

Human Interfacing Humans & AI

The ultimate goal of this research is the establishment of a stable connection to human neural cells, and the decoding and interpretation of neural activity patterns associated with human behaviours and intent.

QUAIL: Quantum Artificial Intelligence Lab Quantum & AI

The vision of QUAIL is to become one of the UK’s leading research labs in quantum/post-quantum technology and artificial intelligence, by bringing together academic and industry partners to tackle major challenges in this emerging area.

Emergent Things Sensing & AI

Networked embedded sensor-based systems can self-repair and self-update, in terms of both their hardware and software infrastructures. In doing so, this initiative investigates new ways to co-specify systems architectures, learn new software-hardware designs for 3D printing, and evolve new operating systems.

Intelligent Transmission and Processing (ITP) Systems & Infrastructure for AI

Our lab is interested in fundamental and application issues on artificial intelligence for signal processing and communications in general.

Cloud, Data and Exascale Computing Hub Systems & Infrastructure for AI

This research initiative aims to ensure that computing infrastructure and software systems can act as the foundation for addressing scientific, societal and environmental challenges.

Resources Observatory (RO) I-X Economy

RO aims to develop and maintain a digital twin of the physical economy, and to use this quantitative evidence base to inform policy-making and business strategy.

Sustainable Tech Lab I-X Economy

The Sustainable Tech Lab (STL) will be a multidisciplinary academic biome; creating the focal point for the delivery of sustainable economic, social and industrial technology enabled solutions for the future global economy.

Training Safer Surgeons I-X Health

Wearable technology in knee braces is a promising new approach to provide biometric feedback that may allow patients to rehabilitate more effectively from knee injuries and after knee surgery.

The application of Machine Learning within Gynaecology Diagnostics I-X Health

Machine learning (ML) has enormous potential to act as a diagnostic adjunct within gynaecology to tackle two main issues: diagnostic uncertainty and delayed diagnoses.

card.io: Improving Cardiovascular Health Through Intelligent Systems I-X Health

We use computer vision techniques to analyse cardiac imaging in both health and disease. We use these models to understand the genetic basis of heart failure and to predict future health outcomes.

AI-aided Supar Super-Resolution for Sensing Arrays I-X Health

This initiative aims at using different frequency signals to achieve Synthetic UPsampling ARray (SUPAR) to improve angular resolution in multitude. Artificial intelligence (AI) tools will be employed for real time probing design and imaging.

The Colin Cherry Laboratory I-X Health

“Human and machine auditory perception” Research into intelligent spatial audio and human perception using machine learning, neuroscience, signal processing, and applied mathematics.

Digital Health I-X Health

We believe that AI can help address the growing and unmet global needs for highperformance healthcare and wellbeing and lead us towards smarter, sustainable societies in general.

Imaging + AI for Graphics, Vision & Beyond I-X Health

The Research Initiative will focus on combining novel computational imaging methods with AI and deep learning techniques to address previously unsolvable or analytically intractable inverse problems in diverse fields such as realistic computer graphics, computer vision, signal processing, medical imaging and natural/physical sciences.

X-RAI: Imperial-X Research Initiative on AI for Imaging I-X Health

This initiative brings together researchers and scientists in the field of machine learning based image analysis. The aim is to develop new computational tools for improving image-based detection and diagnosis of disease.

Remote Monitoring and Machine Intelligence for Health Care I-X Health

This research will focus on developing modular and adaptive algorithms and tools that use sensory observation and measurement data and healthcare records to extract actionable information for effective and timely interventions.

Statistical and Machine Learning for Single Cell Data Analytics I-X Life

Our initiative develops advanced single cell data analysis of disease: this is as a unifying focus for efforts across Imperial. By converging theorists, computer scientists, technologists and experimentalists with medical and industrial challenges we seek a new approach to bioscience from the fundamentals of cellular characterisation upwards to precision healthcare.

Closed-loop Interpretable AI for Biological Systems I-X Life

Using interpretable Artificial Intelligence (AI) to direct the design and implementation of new biological systems is a radical approach that will transform our ability to predictably engineer biological systems.

Earth Data Science: Integrating datasets and machine learning techniques to understand geospatial processes I-X Planet

Our goal is to use cutting edge data science, machine learning and deep learning to better characterize and predict complex planetary processes in order to address societal problems such as climate change and sourcing clean energy.

Centre for AI-physics modelling: applications including the environment, health and sustainable energy I-X Planet

Our vision is to provide the international leadership in AI modelling as a strategic resource for scientific education, research (development) and inquiry.

Hyper-parametrization of Oceanic Eddies: new strategy and methodology for a long-standing problem I-X Planet

Carbon Mark I-X Planet

We aim to calculate the carbon emission of all consumer goods, incorporating their full-life cycle and enabling ranking comparable goods accordingly.

Data Informed Climatic and Environmental Fluid Dynamics I-X Planet

Research involving fluid dynamics and cutting edge data-driven methods.

KIOS@Imperial Research and Innovation Centre of Excellence I-X Resilience

Developing a cutting-edge, multidisciplinary Centre of Excellence in intelligent systems and networks for monitoring, control, and security of critical infrastructure systems.

Radar for Smart Defence, Security and Civilian Applications I-X Resilience

Modern and smart radar system architectures for detecting, localising and tracking multiple-targets in the presence of clutter, noise, interference and jammers.

Centre for Defence Communications & Information Technology (DCIT) I-X Resilience

Formulating and performing defence research in the broad areas of communications and information technology.

IXS: Imperial in Space I-X Space

Harnessing the power of AI and machine learning, we will bring together Imperial’s expertise in relevant areas.

AI in Science

Centre for the Mathematics of Precision Healthcare

The SaSSy Initiative: research in safe and secure software systems

Centre for eXplainable Artificial Intelligence

Our
education programmes

New courses for industry

MSc Artificial Intelligence

Find Out More

Our
industry engagement

We have redesigned the university to make it as easy as possible to work closely with industry from large corporations to start-ups.

Our space at White City

Our base is located in Imperial’s I‑Hub (Translation and Innovation Hub) which contains firms, labs and incubation facilities and is on Imperial’s new White City Campus.

Find out more about our White City Campus

Our
recruitment

We are hiring for our new AI in Science centre.

AI in Science

Research initiative lead

Abhijeet
Ghosh

Research initiative lead

Contact us

ix-contact@imperial.ac.uk

General Enquiries: Alex Gibbs, Operations Manager
a.gibbs@imperial.ac.uk

Industry Engagement: Dr Jing Sheng Pang, Industry Partnerships & Commercialisation Executive (FoE)
j.pang@imperial.ac.uk

We are based at:

Level 5
Translation and Innovation Hub (I-HUB)
Imperial White City Campus
84 Wood Lane
London W12 7SL

Get Directions

Intelligence applied

Imperial + AI

Our vision is unique

Our research

Our research centres

AI in Science

Centre for the Mathematics of Precision Healthcare

The SaSSy Initiative: research in safe and secure software systems

Centre for eXplainable Artificial Intelligence

Our education programmes

Our industry engagement

Our space at White City

Our recruitment

Our people

Eric Yeatman

Nick Jones

Peter Pietzuch

Christopher Tucci

Alex Gibbs

Chen Qin

Anastasia Borovykh

Sen Wang

Christopher Salvi

Xenia Miscouridou

Nicole Salomons

Alessio R Lomuscio

Islem Rekik

Lukas Gonon

Rossella Arcucci

Bernadette Kuforiji

Leila Guerra

Srdjan Saso

Martin Lupton

David Brown

Betty Yue

Antoine Cully

Andrew Duncan

Christos Savvas Bouganis

Tim Venables

Simon Hepworth

Mark Kennedy

Guy Nason

Deborah Ashby

Aldo Faisal

Thomas Parisini

Vilanova Lluis

Philippa Gardner

Rupert Myers

Payam Barnaghi

Patrick Naylor

Pavel Berloff

Martin Siegert

Mauricio Barahoma

Kin Leung

Julie McCann

Jonathan Eastwood

Hamed Haddadi

Guy Bart-Stan

Geoffrey Li

Geoff Baldwin

Deeph Chana

Enricio Biffis

Declan O'Regan

Dario Farina

Dalal Alrajeh

Dai Wei

Cong Ling

CM Gupte

Christopher Pain

Cedric John

Ben Glocker

Athanassios Manikas

Ali Mashayek

Alessandra Russo

Abhijeet Ghosh

Contact us

Our
research

Our
research centres

Our
education programmes

Our
industry engagement

Our
recruitment

Eric
Yeatman

Nick
Jones

Peter
Pietzuch

Christopher
Tucci

Alex
Gibbs

Chen
Qin

Anastasia
Borovykh

Sen
Wang

Christopher
Salvi

Xenia
Miscouridou

Nicole
Salomons

Alessio R
Lomuscio

Islem
Rekik

Lukas
Gonon

Rossella
Arcucci

Bernadette
Kuforiji

Leila
Guerra

Srdjan
Saso

Martin
Lupton

David
Brown

Betty
Yue

Antoine
Cully

Andrew
Duncan

Christos
Savvas Bouganis

Tim
Venables

Simon
Hepworth

Mark
Kennedy

Guy
Nason

Deborah
Ashby

Aldo
Faisal

Thomas
Parisini

Vilanova
Lluis

Philippa
Gardner

Rupert
Myers

Payam
Barnaghi

Patrick
Naylor

Pavel
Berloff

Martin
Siegert

Mauricio
Barahoma

Kin
Leung

Julie
McCann

Jonathan
Eastwood

Hamed
Haddadi

Guy
Bart-Stan

Geoffrey
Li

Geoff
Baldwin

Deeph
Chana

Enricio
Biffis

Declan
O'Regan

Dario
Farina

Dalal
Alrajeh

Dai
Wei

Cong
Ling

CM
Gupte

Christopher
Pain

Cedric
John

Ben
Glocker

Athanassios
Manikas

Ali
Mashayek

Alessandra
Russo

Abhijeet
Ghosh