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
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.
Currie, Edward and James-Reynolds, Carl (2020) 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.
Oguego, Chimezie and Augusto, Juan Carlos and Springett, Mark and Quinde, Mario and James-Reynolds, Carl (2019) An interface for managing users' preferences in AmI. In: 15th International Conference on Intelligent Environments, 24-27 Jun 2019, Rabat, Morocco. (Accepted/In press)
Augusto, Juan Carlos and Quinde, Mario and Gimenez Manuel, Jose Gines and Ali, Murad and Oguego, Chimezie and James-Reynolds, Carl (2019) The SEArch smart environments architecture. In: 15th International Conference on Intelligent Environments, 24-27 Jun 2019, Rabat, Morocco. (Accepted/In press)
Gao, Xiaohong W. and James-Reynolds, Carl and Currie, Edward (2019) Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture. Neurocomputing . ISSN 0925-2312 (Published online first)