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      Mr Carl James-Reynolds

      ROLE: Associate Professor
      SCHOOL: Science & Technology
      DEPARTMENT: Computer Science
      TELEPHONE: +44 (0)20 8411 6566
      EMAIL: C.James-reynolds@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        Position:

        • Undergraduate Director of Programme
        • Principal Lecturer

        Personal Web Page:

        http://www.cs.mdx.ac.uk/staffpages/carl9/

        Publications:

        • Duquenoy, P. and Reynolds, C. (2003) Stressed or Stress Free Mobile Privacy. Detecting Mobile Stress: Ethical Issues in Voice Analysis. 1st International Wireless Workshop Wireless Security Technologies 2003 London UK.
        • Reynolds, C., Smith, M., Woodman, M., (2002) Your Nose is ....... Presented at SCI 2002. CD-ROM conference proceedings.
        • Reynolds, C., Smith, M., Woodman, M., (2002) Longer Than A Telephone Wire: Voice Firewalls To Counter Ubiquitous Lie Detection. ITB Research Conference

        Languages Spoken

         English

      • Learning &
        Teaching Interests

        • CMT2046 - Digital Media
        • CMT3046 - Advances in Multimedia (Module Leader)

      • Research Outputs &
        Interests

        • I am currently looking at risks posed by Voice Stress Analysis devices in handheld and mobile communication sessions. I am also developing strategies for real time voice integrity checking.
        • My audio interests extend to synthesiser technology and computer generated music, in particular the modelling of classic analogue synths in software and the analogue digital divide. I am also interested in pedagogic issues and belong to the University retention group.

        Publication Feed

        Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture

        Gao, Xiaohong W. and James-Reynolds, Carl and Currie, Edward (2018) Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture. Neurocomputing . ISSN 0925-2312 (Accepted/In press)

        Mindfulness Mirror

        James-Reynolds, Carl and Currie, Edward (2018) Mindfulness Mirror. In: BCS Machine Intelligence competition, 05 Oct 2018, BCS London Office, First Floor, The Davidson Building, 5 Southampton Street, London.

        Embedding creativity in the university computing curriculum

        Currie, Edward and James-Reynolds, Carl (2018) Embedding creativity in the university computing curriculum. In: TIE 2018: 2nd EAI International Conference on Technology, Innovation, Entrepreneurship and Education, 04 Sept 2018, London, United Kingdom.

        Analysing TB severity levels with an enhanced deep residual learning– depth-resnet

        Gao, Xiaohong W. and James-Reynolds, Carl and Currie, Edward (2018) Analysing TB severity levels with an enhanced deep residual learning– depth-resnet. In: ImageCLEF ImageCLEFtuberculosis competition, 10-14 Sept 2018, Avignon, France.

        Sensorial computing

        Varsani, Puja and Moseley, Ralph and Jones, Simon and James-Reynolds, Carl and Chinellato, Eris and Augusto, Juan Carlos (2018) Sensorial computing. In: New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies. Filimowicz, Michael and Tzankova, Veronika , eds. Human–Computer Interaction Series . Springer, pp. 265-284. ISBN 9783319733555

        View more publications

      • Funded Research &
        Knowledge Exchange Projects

      • Engagement &
        Impact

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