Research Group

Brain-Computer Interfaces and Neural Engineering

An experiment being carried out in the Brain-Computer Interfaces lab

The brain-computer interfaces and neural engineering research group specialises in non-invasive research to develop brain-computer interfaces (BCIs) and expand our understanding of the brain.

BCIs are based on the recording of brain signals. By studying and translating these signals, we can understand how humans can control devices and technology such as computers or robots. Translating brain signals effectively can improve technology such as artificial limbs, wheelchairs, and eye-sensor equipment.

Our research looks at a broad range of BCI applications, including (but not limited to):

  • Spelling and cursor control.
  • Computational neuroscience.
  • Rehabilitation engineering (including prosthetic control).
  • Peripheral nerve interfaces.
  • Integration of brain stimulation with BCI to provide novel therapies
  • BCIs that assist individual and group decision-making, and human-AI teaming.

Our work has been funded by the Ministry of Defence, the Engineering and Physical Sciences Research Council (EPSRC), the US Department of Defence, and Horizon 2020, among others.

Based in the School of Computer Science and Electronic Engineering at the University of Essex, the BCI-NE Lab includes state-of-the-art EEG systems, Functional Near-Infrared Spectroscopy (fNIRS) systems, eye trackers and a variety of neurostimulators.

In addition to their BCI research, some of our academics are also members of AI for Decision Making, Intelligent Embedded Systems and Environments, Natural Language and Information Processing, Robotics and Mechatronics, and the Centre for Computational Intelligence.

Related courses

Publications

Latest papers

Roy, S and Rathee, D and Chowdhury, A and McCreadie, K and Prasad, G (2020) 'Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data.' Journal of Neural Engineering, 17 (5). ISSN 1741-2560

Roy, Sujit and Chowdhury, Anirban and McCreadie, Karl and Prasad, Girijesh (2020) 'Deep Learning based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces.' Frontiers in Neuroscience, 14. ISSN 1662-453X

Pei, Zian and Wang, Hongtao and Bezerianos, Anastasios and Li, Junhua (2020) 'EEG-Based Multi-Class Workload Identification Using Feature Fusion and Selection.' IEEE Transactions on Instrumentation and Measurement. ISSN 0018-9456

Talukdar, Upasana and Hazarika, Shyamanta M and Gan, John Q (2020) 'Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue.' Journal of Neural Engineering, 17 (1). ISSN 1741-2552

Christinaki, Eirini and Papastylianou, Tasos and Carletto, Sara and Gonzalez-Martinez, Sergio and Ostacoli, Luca and Ottaviano, Manuel and Poli, Riccardo and Citi, Luca (2020) 'Well-being Forecasting using a Parametric Transfer-Learning method based on the Fisher Divergence and Hamiltonian Monte Carlo.' EAI Endorsed Transactions on Bioengineering and Bioinformatics. ISSN 2709-4111

Zhu, Li and Su, Chongwei and Zhang, Jianhai and Cui, Gaochao and Cichocki, Andrzej and Zhou, Changle and Li, Junhua (2020) 'EEG-based approach for recognizing human social emotion perception.' Advanced Engineering Informatics, 46. ISSN 0954-1810

Wang, T and Bezerianos, A and Cichocki, A and Li, J (2020) 'Multikernel Capsule Network for Schizophrenia Identification.' IEEE Transactions on Cybernetics. ISSN 2168-2267

Halder, Sebastian and Juel, Bjørn E and Nilsen, André S and Raghavan, Lashmi Venkat and Storm, Johan F (2021) 'Changes in measures of consciousness during anaesthesia of one hemisphere (Wada test).' NeuroImage, 226. ISSN 1053-8119

Our academics

Dr Zulfiqar Ali

Group member

School of Computer Science and Electronic Engineering, University of Essex

Dr Anirban Chowdhury

Group member

School of Computer Science and Electronic Engineering, University of Essex

Dr Caterina Cinel

Group member

School for Computer Science and Electronic Engineering, University of Essex

Professor Luca Citi

Group member (also a member of AI for Decision Making)

School for Computer Science and Electronic Engineering, University of Essex

Dr Ian Daly

Group member

School for Computer Science and Electronic Engineering, University of Essex

Professor John Gan

Group member (also a member of Natural Language and Information Processing, and Robotics and Mechatronics)

School for Computer Science and Electronic Engineering, University of Essex

Dr Sebastian Halder

Group member

School of Computer Science and Electronic Engineering, University of Essex

Dr Alba Garcia Seco De Herrera

Group member (also a member of Natural Language and Image Processing)

School of Computer Science and Electronic Engineering, University of Essex

Also a member of Natural Language and Image Processing.

Dr Junhua LI

Group member

School of Computer Science and Electronic Engineering, University of Essex

Dr Ana Matran-Fernandez

Group member (also a member of AI for Decision Making)

Institute of Analytics and Data Science, University of Essex

Dr Serafeim Perdikis

Group member

School of Computer Science and Electronic Engineering, University of Essex

Dr Haider Raza

Group member (also a member of AI for Decision Making, and Natural Language and Information Processing)

School of Computer Science and Electronic Engineering, University of Essex

Professor Reinhold Scherer

Group member

School of Computer Science and Electronic Engineering, University of Essex

Professor Francisco Sepulveda

Group member

School for Computer Science and Electronic Engineering, University of Essex

Dr Mays Al-Naday working on a laptop that is connected to some servers on her right.
Our Research

We have an international reputation for the outstanding quality of our research which covers areas such as artificial intelligence, robotics, and brain-computer interfaces. In the most recent UK Research Excellence Framework, more than two-thirds of our computer science research was classed as 'world leading' or 'internationally excellent' (REF 2014).

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