School of Computing

Our Team and What They Do

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Head of Group Palaniappan Ramaswamy  Seminar organiser Michael Kampouridis

Primary Members

Research Interests

Palaniappan Ramaswamy

Biomedical signal processing; Electrophysiological analysis (mental and cardiovascular disorders – stress management, Parkinson’s, vegetative state, ectopic heart beats); Brain-computer interface; Time-series analysis; Biometrics; Machine learning.

Caroline Li

EEG; EMG; body sensor; biomarker; Alzheimer's disease; Epilepsy; wavelets; Hilbert transform; time-frequency analysis; phase synchrony; BCI; adaptive filtering; Maximum-margin learning.

Frank Wang Big Data; Data Storage via memristor; Cloud Computing; Brain-like Computer; Green Computing
Michael Kampouridis

Machine learning; Genetic programming; Financial engineering; Financial forecasting; Algorithmic trading; Weather derivatives.

Huy Phan

Machine learning; Deep learning; Signal processing; Speech analysis; Environmental sound analysis; Biosignal analysis; Healthcare applications.

Daniel Soria

Machine learning; data mining; Supervised learning; Pattern identification.

Matteo Migliavacca

Parallel data processing; Stream processing and publish subscribe middleware in large scale and cloud scenarios; Security; Secure event processing; Runtime taint tracking; Information flow control from Java, PHP and Erlang.

Other Members

Research Interests

Howard Bowman

Human attention; Emotions; Reasoning; Connectionist modelling; Symbolic modelling; EEG recording and analysis methods; Formal methods; Concurrency theory.

Professor Alex Freitas

Data mining; Knowledge discovery; Classification methods for the Biology of Ageing; Protein function prediction and Pharmacokinetics; Biologically-inspired algorithms (Evolutionary Algorithms and Ant Colony Optimisation).

Tomas Petricek

Programming languages and tools for data science; Data-driven storytelling, data journalism and data visualization; Programming language design and functional programming; History and philosophy of computing

Anna Jordanous

Computational creativity (particularly with music/language) and its evaluation; Music Informatics; Cognitive modelling; Knowledge modelling and Information Retrieval; Machine learning and data mining; Natural language processing/computational linguistics; Digital humanities; Semantic web and linked data.

Fernando Otero

Data mining; Machine learning; Ant colony optimization, Genetic programming; Bioinformatics.

   

Postdoctoral Researchers

Research topic

Dr Surej Mouli

Vagus Nerve Stimulation for Stress Management; Improving Road Safety with Efficient Brake Light Design

Dr Eva Fringi

Vagus Nerve Stimulation for Stress Management; Improving Road Safety with Efficient Brake Light Design

 

Postgraduate students

Research topic

Adesola Adegboye

Financial forecasting, directional changes, algorithmic trading, genetic programming.

Sergey Ovchinnik

To be confirmed

Konstantantinos Patlatzoglou

Deep Learning for Electrophysiological Investigation of Anesthesia

Lam Dang Pham

Acoustic Event Detection (AED) and Acoustic Scene Classification (ASC)

Liqun Wu

To be confirmed

Helen D.C. Sousa-Da-Costa-Lima

Development of novel hybrid feature selection techniques for improved hierarchical classification

Cihan Dogan

Stimulating the brain for memory impairments

Aruna Duraisingam

Emotional predisposition for eating disorder

Riku Ihalainen

Combining computational methods with neuroscience using EEG data in the context of consciousness studies

George R.B. Langroudi

Hearing impairment assessment with EEG

Yuzhou Lin

Subject independent gesture classification with EMG

Amy Marintdale-Dopson Orientation and cognitive functioning
Ismail Mohamed Algorithmic trading and computational intelligence
Laila Alterkawi To be confirmed
   
   

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 23/10/2019