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Christopher Buckingham

Dr

 https://orcid.org/0000-0002-3675-1215

    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    Accepting PhD Students

    19972019
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    Personal profile

    Research Interests

    • The nature and development of expertise
    • Psychological classification and decision-making
    • Reasoning with uncertainty
    • Clinical decision making
    • Intelligent Knowledge-Based Systems
    • Clinical decision support systems

    Qualifications

    • BSc in Psychology ( Southampton University)
    • MSc in Computer Science ( Birmingham University)
    • PhD in Computer Science ( Birmingham University)

    Contact Details

    Phone number: +44 (0)121 204 3450
    Email:  c.d.buckingham@aston.ac.uk
    Room Number: MB 211N

    Education/Academic qualification

    MSc

    PhD

    BSc, University of Southampton

    External positions

    Associate Editor

    2010 → …

    Keywords

    • Q Science (General)
    • cognitive science
    • artificial intelligence
    • psychological classification
    • human expertise
    • intelligent knowledge based systems
    • clinical decision support systems
    • mental health

    Fingerprint Dive into the research topics where Christopher Buckingham is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    Decision support systems Engineering & Materials Science
    Mental Health Medicine & Life Sciences
    Health Engineering & Materials Science
    Health risks Engineering & Materials Science
    Clinical Decision Support Systems Medicine & Life Sciences
    Suicide Medicine & Life Sciences
    Decision Making Medicine & Life Sciences
    Knowledge engineering Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 1997 2019

    Developing a hierarchical fuzzy rule-based model with weighted linguistic rules: A case study of water pipes condition prediction

    Amaitik, N. M. & Buckingham, C. D., 8 Jan 2018, Proceedings of Computing Conference 2017. IEEE, Vol. 2018-January. p. 30-40 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Fuzzy rules
    Linguistics
    Pipe
    Water
    Service life

    Capturing human intelligence for modelling cognitive-based clinical decision support agents

    Rezaei-Yazdi, A. & Buckingham, C. D., 19 Apr 2018, Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers. Springer, Vol. 732. p. 105-116 12 p. (Communications in Computer and Information Science; vol. 732).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    Cognitive Modeling
    Decision Support
    Risk Evaluation
    Intelligent Agents
    Risk Assessment

    Policy based generic autonomic adapter for a context-aware social-collaborative system

    Hussain, N., Wang, H. & Buckingham, C. D., 7 May 2018, 2018 International Conference on Intelligent Systems and Computer Vision (ISCV). IEEE, p. 1-9

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Health
    Intelligent agents
    Adaptive systems
    Information technology

    Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks

    Golzadeh, H., Faria, D., Manso, L. J., Ekárt, A. & Buckingham, C. D., 26 Sep 2018, Proceedings of the 9th International Conference on Intelligent Systems . 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Communication
    Support vector machines
    Feature extraction
    Classifiers

    A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction

    Bird, J., Faria, D., Manso, L. J., Ekárt, A. & Buckingham, C. D., 13 Mar 2019, In : Complexity. 2019, 14 p., 4316548.

    Research output: Contribution to journal › Article

    Open Access
    File
    Electroencephalography
    Brain
    Classifiers
    Multilayer neural networks
    Evolutionary algorithms

    Thesis

    An investigation into inductive parameter learning in complex hierarchical knowledge structures representing clinical expertise

    Author: Hegazy, S., 4 Jul 2012

    Supervisor: Buckingham, C. D. (Supervisor)

    Student thesis: Doctoral Thesis › Doctor of Philosophy

    File

    A novel dynamic feature selection and prediction algorithm for clinical decision involving high-dimensional and varied patient data

    Author: Saleh, S., 7 Sep 2016

    Supervisor: Ekart, A. (Supervisor) & Buckingham, C. D. (Supervisor)

    Student thesis: Doctoral Thesis › Doctor of Philosophy

    File

    Development of a probabilistic graphical structure from a model of mental health clinical expertise

    Author: Obembe, O., 20 Feb 2013

    Supervisor: Buckingham, C. D. (Supervisor)

    Student thesis: Doctoral Thesis › Doctor of Philosophy

    File

    Discovering knowledge structures in mind maps of mental health risks

    Author: Priscott, K., 1 Nov 2016

    Supervisor: Buckingham, C. D. (Supervisor)

    Student thesis: Doctoral Thesis › Doctor of Philosophy

    File

    Enhancing the interactivity of a clinical decision support system by using knowledge engineering and natural language processing

    Author: Islam, M. A., 18 Sep 2018

    Supervisor: Buckingham, C. D. (Supervisor)

    Student thesis: Doctoral Thesis › Doctor of Philosophy

    File