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  • Department: Engineering

The search produced 31 results.

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  • Professor Ozgur B. Akan
    Our research interests are Internet of Everything, Internet of Bio-Nano Things, Neural Communication, Molecular Communication, Signal Processing and Information Theory. We are particularly interested in developing nanomaterial-based neuro-interfac...
  • Damiano G. Barone Dr Damiano G. Barone
    The nervous system plays a key role in the regulation of body function from voluntary movement to cognition. Due to the inability of the nervous system to regenerate itself, injuries to the brain, spinal cord and peripheral nerve can have a profou...
  • Dr Alejandro Carnicer-Lombarte
    Neural interfaces allow for the formation of connections between the nervous system and external devices, and hold great potential in both the clinic and basic research. Though traditionally electrical in nature, recent advance in microfabrication...
  • Miss Gintare Karolina Dziugaite
    Research interests include visual perception and imitation learning, especially in motor control. Currently I am working on inverse optimal control and human motor learning by observing optimal behavior.
  • Dr Mark Farrow
    Targeted delivery of therapeutics for hard-to-treat cancers
  • Johannes Friedrich Dr Johannes Friedrich
    My research lies at the intersection of computational neuroscience and machine learning, targeting the general question of how statistics can help us decipher neural computation. Most of my work centered on decision making, in particular on implem...
  • Zoubin Ghahramani Professor Zoubin Ghahramani
    My current research interests include Bayesian approaches to machine learning, artificial intelligence, statistics, information retrieval, bioinformatics, and computational motor control. Statistics provides the mathematical foundations for handli...
  • James Heald Mr James Heald
    I am interested in understanding the computational principles that underlie sensorimotor control and learning in the human brain.
  • Guillaume Hennequin Dr Guillaume Hennequin
    I study the link between physiology and behaviour from a computational viewpoint. I am interested in the dynamics of sensory and motor cortices, and how they support complex computations such as movement generation or perceptual inference. Through...
  • Fumiya Iida Dr Fumiya Iida
    Our research interests lie at the biologically inspired robotics, i.e. the cross section between biology and robotics: We are interested in extracting design principles of nature and extend them for improving our robotics technologies.
  • Dr James Ingram
    My research focuses on understanding the sensorimotor control of the arm and hand in humans. I am especially interested in object manipulation and tool use. Object manipulation and tool use is an essential feature of human behaviour. It represents...
  • Yul Kang
    I study decision making, learning, and memory with computational models and behavioral experiments. I am interested in finding the normative way to solve a computational problem, how human performance conforms to or deviates from it, and what cons...
  • Máté Lengyel Professor Máté Lengyel
    I study learning and memory from computational, algorithmic/representational and neurobiological viewpoints. I also maintain an active interest in the possible computational functions of neural oscillations, particularly those present in the hippo...
  • Professor George Malliaras
    My research is in bioelectronics, specifically the application of organic electronic materials to interfacing with the brain, aiming to understand how the brain works and to develop new tools for the diagnosis and treatment of brain diseases. Amon...
  • Timothy O'Leary Dr Timothy O'Leary
    How do nervous systems adapt and repair themselves? How do they exhibit coherent function in spite of variable underlying properties? I study these questions using theory, computational models and experiments. For example, it is well known that n...
  • Dr Christopher Proctor
    Chris's research is focused on engineering devices and developing materials to enable a seamless connection between electronics and living tissue in order to address intractable disorders. On going project themes include: Electrophoretic drug del...
  • Carl Edward Rasmussen Professor Carl Edward Rasmussen
    I work on probabilistic inference and machine learning. What are the mathematical foundations of learning from experience in biological systems?
  • Miss Amy Rochford
    Peripheral nerve injuries result in a disconnection in the nervous system communication and a consequent loss in neurological function. Currently, there are limited treatments for these conditions. Neuroprosthetics and cell transplantation are pro...
  • Samuel Rodriques Mr Samuel Rodriques
    When humans anticipate a perturbation to an object that they are holding, they strengthen their grip on the object predictively. We use predictive grip force responses as a way of studying the ability of humans to predict the dynamics of the world...
  • Kai Ruggeri Dr Kai Ruggeri
    Dr Kai Ruggeri is an Affiliated Lecturer in the Department of Psychology as well as Research Associate specialising in methods, research design and analysis in the Engineering Design Centre. He works on a variety of projects, typically related to ...
  • Rodolphe Sepulchre Professor Rodolphe Sepulchre
    We use tools from feedback control theory and machine learning to study the modulation and robustness of neuronal circuits. We are particularly interested in the mechanisms that transfer rhythmic activity across a range of temporal and spatial sca...
  • Ben Seymour Dr Ben Seymour
    My research aims to understand how pain is processed in the human brain by using a combination of theoretical and experimental methods. Our goal is to use this knowledge to design new types of (technology-based) treatment for patients who suffer f...
  • Hannah Sheahan
    In a nutshell: I research the computational processes that underlie motor learning in humans, and try to understand how the representations of motor memories impact learning and enable skilled voluntary movement. I am also interested in artificial...
  • Richard Turner Dr Richard Turner
    My research lies at the interface between computer perception (which builds artificial systems for understanding images, sounds and videos), neuroscience (which tries to understand the brain) and machine-learning (which provides a theoretical fram...
  • Balazs Ujfalussy Dr Balazs Ujfalussy B
    Balazs was working in Cambridge between 2011 ans 2015 with Maté Lengyel (University of Cambridge) and Tiago Branco (MRC LMB). As a postdoc with Máté Lengyel he realised that efficient computations on realistic spiking inputs require nonlinear inpu...
  • Mr Tomas Van Pottelbergh
    Networked excitable behaviours, applied to the concept of balanced networks in neuroscience.
  • Dr Adrian Weller
    Machine Learning
  • Daniel Wolpert Professor Daniel Wolpert FMedSci FRS
    The group uses engineering approaches to understand how the human brain controls movement. The work includes both computational modelling and experimental approaches using robotic and virtual reality interfaces. Research areas include motor planni...
  • Scott Cheng-Hsin Yang Scott Cheng-Hsin Yang
    I study Bayesian active sensing in sensorimotor control. Up until now the field has focused primarily on visual search tasks. I aim to go beyond the conventional and explore active sensing in more complex scenarios both experimentally and theore...
  • Steve Young Professor Steve Young
    My primary interest is in adaptive learning in spoken dialogue systems. This currently involves modelling human machine dialogues using the framework of Partially Observable Markov Decision Processes (POMDPs). The research issues addressed incl...
  • Suyi Zhang
    The systems neuroscience of human pain and aversive learning.

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