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    Dr Charles Day

    Dr Charles Day

    Title
    Lecturer
    Location
    Colin Reeves Building CR110
    Role

    Computing Third Year Tutor
    Computing Careers Liaison
    Contact me
    Student Drop-in Hours: -Mondays: 10am-12pm -Wednesdays: 10am-12pm (Enquiries are also welcome anytime I am in my office)
    Phone
    +44 (0) 1782 733411
    Email
    c.r.day@keele.ac.uk

    Biography

    My own undergraduate training was in physics and computer science. After graduation I worked in the IT industry supporting manufacturing companies in the telecoms and agricultural sectors of the economy for a number of years. I returned to academia in the early 1990's to complete an MSc and then my PhD (in the field of neural networks). After spells as a post-doctoral researcher at the EC Joint Research Centre in Italy and also in the MacKay Institute for Communication & Neuroscience at Keele, I became a Computer Science lecturer and eventually joined the staff here at Keele in 2001.

    Research and scholarship

    Computational modelling and evaluation of human perception: vision, audition, speech processing. Data mining of very large datasets (e.g. astrophysical surveys of the night sky, electromagnetic surveys of the built environment etc.). Intelligent decision support for NHS clinicians trying to identify/treat patients with conditions such as colo-rectal cancer or stroke. Investigator on an EPSRC funded project using neural networks to identify selected chemical elements via their x-ray signatures.

    Teaching

    • CSC-10035 Natural Computation
    • CSC-30020 Computational Intelligence II
    • CSC-30024 Undergraduate Work Placements
    • CSC-40040 MSc Projects

    Selected Publications

    • Jabbar SI, Aladi AQ, Day C, Chadwick E. 2021. A new method of contrast enhancement of musculoskeletal ultrasound imaging based on fuzzy inference technique. Biomed Phys Eng Express, vol. 7(5). link> doi>
    • Jabbar SI, Day C, Chadwick E. 2021. Automated measurements of morphological parameters of muscles and tendons. Biomedical Physics & Engineering Express, 025002, vol. 7(2). doi> link>
    • Day CR, Chadwick EK, Blana D. 2020. A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE. doi> link> full text>
    • Fuller A, Fan Z, Day C, Barlow C. 2020. Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE ACCESS, 108952-108971, vol. 8. link> doi> full text>
    • Jabbar S, Day CR, Chadwick E. 2019. Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images. Proceddings of FUZZ-IEEE 2019. IEEE. doi> full text>

    Full Publications Listshow

    Journal Articles

    • Jabbar SI, Aladi AQ, Day C, Chadwick E. 2021. A new method of contrast enhancement of musculoskeletal ultrasound imaging based on fuzzy inference technique. Biomed Phys Eng Express, vol. 7(5). link> doi>
    • Jabbar SI, Day C, Chadwick E. 2021. Automated measurements of morphological parameters of muscles and tendons. Biomedical Physics & Engineering Express, 025002, vol. 7(2). doi> link>
    • Fuller A, Fan Z, Day C, Barlow C. 2020. Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE ACCESS, 108952-108971, vol. 8. link> doi> full text>
    • Moore HE, Butcher JB, Day CR, Drijfhout FP. 2017. Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species. Forensic Sci Int, 233-244, vol. 280. link> doi> full text>
    • Wootton AJ, Butcher JB, Kyriacou T, Day CR, Haycock PW. 2017. Structural health monitoring of a footbridge using Echo State Networks and NARMAX. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 152-163, vol. 64. link> doi> full text>
    • Wootton AJ, Taylor SL, Day CR, Haycock PW. 2017. Optimizing Echo State Networks for Static Pattern Recognition. COGNITIVE COMPUTATION, 391-399, vol. 9(3). link> doi> full text>
    • Moore HE, Butcher JB, Adam CD, Day CR, Drijfhout FP. 2016. Age estimation of Calliphora (Diptera: Calliphoridae) larvae using cuticular hydrocarbon analysis and Artificial Neural Networks. Forensic Sci Int, 81-91, vol. 268. link> doi> full text>
    • Day CR, Butcher, JB, Moore, HE, Drijfhout, FP, Adam,CD. 2013. Artificial Neural Network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for Post Mortem Interval estimation. Forensic Science International, 25-31, vol. 232(1-3).
    • Butcher, JB, Day CR, Haycock, PW, Verstraeten, D, Schrauwen, B. 2013. DEFECT DETECTION IN REINFORCED CONCRETE USING RANDOM NEURAL ARCHITECTURES. Computer-Aided Civil and Infrastructure Engineering, 191-207. doi>
    • Butcher JB, Moore HE, Day CR, Adam CD, Drijfhout FP. 2013. Artificial Neural Network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for Post Mortem Interval estimation. Forensic Science International, 25-31, vol. 232(1-3). doi>
    • Butcher, J, Verstaeten, D, Schrauwen, B, Day CR, Haycock, P. 2012. Reservoir computing and extreme learning machines for non-linear time-series data analysis. Neural Networks. doi>
    • Austin JC, Day CR, Kearon AT, Evans DL, Haycock PW. 2010. Comparison method to differentiate between painted objects using polychromatic X-rays. INSIGHT, 140-143, vol. 52(3). link> doi>
    • Austin JC, Day CR, Kearon AT, Haycock PW. 2009. Single element mapping in radiography. X-RAY SPECTROMETRY, 492-504, vol. 38(6). link> doi>
    • Day CR, Austin JC, Butcher JB, Haycock PW, Kearon AT. 2009. Element-specific determination of X-ray transmission signatures using neural networks. NDT & E INTERNATIONAL, 446-451, vol. 42(5). link> doi>
    • Malhotra S, Pandyan AD, Day CR, Jones PW, Hermens H. 2009. Spasticity, an impairment that is poorly defined and poorly measured. Clin Rehabil, 651-658, vol. 23(7). link> doi>
    • Austin JC, Day CR, Kearon AT, Valussi S, Haycock PW. 2008. Using polychromatic X-radiography to examine realistic imitation firearms. Forensic Sci Int, 26-31, vol. 181(1-3). link> doi>
    • Austin JC, Day CR, Kearon AT, Valussi S, Haycock PW. 2008. Characterisation of metallic powder impregnated pastes using polychromatic X-radiography. INSIGHT, 550-553, vol. 50(10). link> doi>

    Chapters

    • Butcher JB, Rutter AV, Wootton AJ, Day CR, Sule-Suso J. 2018. Artificial Neural Network Analysis of Volatile Organic Compounds for the Detection of Lung Cancer. (vol. 650). link> doi> full text>

    Other

    • Day CR, Chadwick EK, Blana D. 2020. A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers. 2020 International Joint Conference on Neural Networks (IJCNN). IEEE. doi> link> full text>
    • Jabbar S, Day CR, Chadwick E. 2019. Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images. Proceddings of FUZZ-IEEE 2019. IEEE. doi> full text>
    • Jabbar SI, Day CR, Chadwick EK, ACM. 2019. Enhancement of Panoramic Musculoskeletal Ultrasound Image Based on Fuzzy Technique. INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICICT 2019) (pp. 228-232). link> doi>
    • Wootton AJ, Day CR, Haycock PW, IEEE. 2018. Fault Detection in Steel-Reinforced Concrete Using Echo State Networks. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). link> doi> full text>
    • Wootton AJ, Day CR, Haycock P. 2018. Fault Detection in Steel-Reinforced Concrete Using Echo State Networks. Proceedings of 2018 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi> full text>
    • Butcher JB, Rutter AV, Wootton AJ, Day CR, Sule-Suso J. 2017. Artificial neural network analysis of volatile organic compounds for the detection of lung cancer. Advances in Intelligent Systems and Computing (pp. 183-190). Springer Verlag. full text>
    • Jabbar SI, Day CR, Heinz N, Chadwick EK, IEEE. 2016. Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (pp. 4619-4626). link> doi> full text>
    • Wootton AJ, Day CR, Haycock PW. 2015. Echo state network applications in structrual health monitoring. Proceedings of 2015 International Joint Conference on Neural Networks (IJCNN). IEEE. doi>
    • Wootton AJ, Day CR, Haycock PW, IEEE. 2015. An Echo State Network Approach to Structural Health Monitoring. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). link> full text>
    • Channon A, Aston E, Day C, Belavkin RV, Knight CG. 2011. Critical mutation rate has an exponential dependence on population size. In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo & R. Doursat (Eds.). Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems (pp. 117-124). Heidelberg: MIT Press. doi> full text>
    • Borg JM, Channon A, Day C. 2011. Discovering and maintaining behaviours inaccessible to incremental genetic evolution through transcription errors and cultural transmission. In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo & R. Doursat (Eds.). Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems (pp. 101-108). Heidelberg: MIT Press. doi> full text>
    • Butcher JB, Verstaeten D, Schrauwen B, Day CR, Haycock PW. Pruning reservoirs with random static projections. Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on (pp. 250-255).
    • Butcher, J, Verstraeten, D, Schrauwen, B, Day CR, Haycock, P. 2010. Extending reservoir computing with random static projections: a hybrid between extreme learning and RC.
    • Butcher, JB, Verstraeten, D, Schrauwen, B, Day CR, Haycock, PW. 2010. Pruning reservoirs with random static projections.
    • Butcher JB, Lion M, Day CR, Haycock PW, Hocking MJ. 2009. A Low Frequency Electromagnetic Probe for Detection of Corrosion in Steel-Reinforced Concrete. In M. Grantham & C. Majorana (Eds.). Concrete Solutions (pp. 446-451). CRC Press.
    • Lam KP, Austin JC, Day CR. 2007. A coarse-grained spectral signature generator. EIGHT INTERNATIONAL CONFERENCE ON QUALITY CONTROL BY ARTIFICIAL VISION (vol. 6356). link> doi>

    Research themes

    School of Computing and Mathematics
    Keele University
    Staffordshire
    ST5 5AA