Academic Research Insights

Neurotech - windows to your soul

Dr Aldo Faisal is a neuroscientist seeking to decode how our brains generate behaviour from our intentions. His research has led to the creation of many neurotechnologies, including brain-machine-interfaces that utilise eye tracking, which could lead to a new generation of technologies -- including, one day, cognitive prosthetics.

Neurotech - windows to your soul lecture by Aldo Faisal

Neurotech - windows to your soul

An introduction to Neurotech by Aldo Faisal, Professor of AI & Neuroscience

Dr Aldo Faisal is a neuroscientist seeking to decode how our brains generate behaviour from our intentions. His research has led to the creation of many neurotechnologies, including brain-machine-interfaces that utilise eye tracking, which could lead to a new generation of technologies -- including, one day, cognitive prosthetics.

Unlocking patterns in Medical Imaging

Unlocking patterns in Medical Imaging

An introduction to AI in medical imaging by Ben Glocker, Reader in Machine Learning for Imaging

Behind the recent victory of an artificial intelligence against a world champion player of Go lies the power of deep learning algorithms to compete in a broad range of application areas. Visual perception is one area where humans excel, but what if a machine could match or even exceed our ability to discriminate objects and identify patterns in what we see?

Hybrid human and machine learning by Emil Lupu

Hybrid human and machine learning

An introduction to hybrid human and machine learning by Emil Lupu, Professor of Computer Systems

Emil Lupu builds computer systems that can be continuously adapted to their environment and changes in how they are used. In his outlook for big data, Emil sees a world in which humans and machines collaborate to make sense of the huge amounts of unstructured data we are starting to gather from sensors.

Smart Dust lecture by Professor Julie McCann

Smart Dust

An introduction to Smart Dust by Julie McCann, Professor of Computer Systems

Professor Julie McCann takes her inspiration from nature for writing algorithms that allow distributed wireless networks to become self-organising, adaptive and intelligent.

Julie's technologies already find a home in monitoring water networks and to monitor pollution in cities. Looking ahead, sensors the size of dust will supersede today's cloud-based processing - computing intelligence will move out on the edge.

Human-computer partnership in the world of Big Data

Human-computer partnership in the world of Big Data

An introduction to human-computer partnership by Nick Jennings, Professor of Artificial Intelligence

Humans have always been technology users but, in the era of big data and information overload, there is a need for more human-technology interaction. Through artificial intelligence some of these interactions can be explained, particularly with isolated and narrowly defined tasks. But the evolution of supercomputers, together with advances in machine learning offer extended opportunities for human-machine interaction. What if machines could respond to complex human commands? What if machine learning could determine when to ask humans or other artificial intelligence systems for help? What if artificial intelligence made it possible to model the unknown? Imperial College is leading in the use of supercomputing applications for human-machine collaboration.

Graduate Student Research Projects

Leaning-Augmented Algorithms to the Rescue

Ali Hadian describes the challenges around how to work with big data so that it can be searched quickly.

Leaning-Augmented Algorithms to the Rescue by Ali Hadian

Leaning-Augmented Algorithms to the Rescue

Ali Hadian describes the challenges around working with big data so that it can be searched quickly

Ali Hadian describes the challenges around how to work with big data so that it can be searched quickly.

How Robots See, by Charlie Houseago

How Robots See: The Mystery of the Convolutional Filter

Charlie Houseago teaches us about one of the most powerful tools available for computer vision

Charlie Houseago teaches us about one of the most powerful tools available for computer vision: the convolutional filter.

Can we guarantee AI is safe? by Michael Akintunde

Can we guarantee AI is safe?

Michael Akintunde describes the importance of verification of automated systems

Michael Akintunde describes the importance of verification of automated systems and how researchers are attempting to achieve this verification.

DoC Clock

DoC Clock: Meet Konstantinos

Find out about Konstantinos' research in this special series of DoC Clock.

DoC Clock is the Department of Computing's new video series where staff and students have five minutes to discuss their research topics and personal interests.

(DoC is short for Department of Computing) 

DoC Clock: Meet Konstantinos

DoC Clock: Meet Konstantinos

Meet Konstantinos Barmpas, a PhD student from Imperial College London

Find out about Konstantinos' research in this special series of DoC Clock.

DoC Clock is the Department of Computing's new video series where staff and students have five minutes to discuss their research topics and personal interests.

(DoC is short for Department of Computing) 

DoC Clock: Meet Miguel and Margherita

DoC Clock: Meet Margherita and Miguel

Meet Margherita and Miguel, two PhD students from the BioMedIA group

Find out about Margharita and Miguel's research in this special series of DoC Clock.

DoC Clock is the Department of Computing's new video series where staff and students have five minutes to interview each other and discuss their research topics and personal interests.

(DoC is short for Department of Computing) 

DoC Clock: Meet Norman Di Palo

DoC Clock: Meet Norman Di Palo

Meet Norman Di Palo, a PhD student from Imperial College London'd Robot Learning Lab

Find out about Norman's research in this special series of DoC Clock.

DoC Clock is the Department of Computing's new video series where staff and students have five minutes to discuss their research topics and personal interests.

(DoC is short for Department of Computing)