The University of Southampton
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Electronics and Computer Science

Telephone:
+442380596675
Email:
c.evers@soton.ac.uk

 

https://www.cevers.co.uk

Christine Evers is a Lecturer (Assistant Prof. equivalent) in Computer Science. Her research focuses on Bayesian learning for machine listening, with a particular focus on robot audition. Her research is located on the intersection of robotics, machine learning, acoustics, and statistical signal processing. She is a Co-I on the Trustworthy Autonomous Systems Hub, and the cohort lead as well as the theme lead for 'Embedded AI' on the UKRI Centre for Doctoral Training in Machine Intelligence for Nano- Electronic Devices and Systems (MINDS). 

Prior to joining the University of Southampton, Christine was the recipient of an EPSRC Fellowship to advance her work on "Acoustic Signal Processing and Scene Analysis for Socially Assistive Robots", hosted at Imperial College London. Her fellowship followed a position a research associate on the FP7 project "Embodied Audition for Robots" at Imperial College. Christine has previously worked in the industry as a senior systems engineer at Selex ES, Edinburgh (UK). She received her PhD in statistical signal processing under the supervision of Dr James R. Hopgood from the University of Edinburgh, UK.

Christine is a Senior Member of the IEEE, an elected member of the IEEE Signal Processing Society (SPS) Technical Committee on Audio and Acoustic Signal Processing, a member of the IEEE SPS Challenges and Data Collections committee, and serves as an associate editor for IEEE Transactions on Audio, Speech & Language Processing as well as the EURASIP Journal on Audio, Speech, and Music Processing. She has served on several conference organising committees and is a regular reviewer for various journals and conferences across robotics, acoustics, and machine learning.

Full publication list on Google Scholar

Research

Research interests

My research is in the area of machine listening, and equips autonomous agents with the ability to extract semantic cues from microphone signals in order to answer the questions "Where am I?", "What are the sounds around me?", and "How can I interact in my acoustic environment?". The objective of my research is to provide agents, such as robots, with situational awareness in order to reason and interact within complex, acoustic environments, affected by interference, noise, and reverberation. 

Teaching

Publications

Moore, Alastair, Evers, Christine and Naylor, Patrick (2017) Direction of arrival estimation in the spherical harmonic domain using subspace pseudointensity vectors. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25 (1), 178-192. (doi:10.1109/TASLP.2016.2613280).

Evers, Christine and Naylor, Patrick (2018) Acoustic SLAM. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26 (9), 1484 - 1498. (doi:10.1109/TASLP.2018.2828321).

Evers, Christine, Loellmann, Heinrich W., Mellmann, Heinrich, Schmidt, Alexander, Barfuss, Hendrik, Naylor, Patrick A. and Kellermann, Walter (2020) Data Corpus for the IEEE-AASP Challenge on Acoustic Source Localization and Tracking (LOCATA). Zenodo doi:10.5281/zenodo.3630471 [Dataset]

Evers, Christine, Habets, Emanuel, Gannot, Sharon and Naylor, Patrick (2018) DoA reliability for distributed acoustic tracking. IEEE Signal Processing Letters, 25 (9), 1320-1324. (doi:10.1109/LSP.2018.2849579).

Ban, Yutong, Alameda-Pineda, Xavier, Evers, Christine and Horaud, Radu (2019) Tracking multiple audio sources with the von Mises distribution and variational EM. IEEE Signal Processing Letters, 26 (6), 798-802. (doi:10.1109/LSP.2019.2908376).

Evers, Christine and Naylor, Patrick (2018) Optimized self-localization for SLAM in dynamic scenes using probability hypothesis density filters. IEEE Transactions on Signal Processing, 66 (4), 863-878. (doi:10.1109/TSP.2017.2775590).

Neo, Vincent W., Evers, Christine and Naylor, Patrick A. (2020) PEVD-Based Speech Enhancement in Reverberant Environments. In Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.. (In Press)

Hogg, Aidan, Evers, Christine and Naylor, Patrick A. (2019) Multiple hypothesis tracking for overlapping speaker segmentation. In Proceedings IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE.. (doi:10.1109/WASPAA.2019.8937185).

Evers, Christine, Loellmann, Heinrich W., Mellmann, Heinrich, Schmidt, Alexander, Barfuss, Hendrik, Naylor, Patrick A. and Kellermann, Walter (2020) The LOCATA challenge: acoustic source localization and tracking. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 1620-1643, [9079214]. (doi:10.1109/TASLP.2020.2990485).

Hopgood, James R., Evers, Christine and Fortune, Steven (2010) Bayesian single channel blind dereverberation of speech from a moving talker. In, Speech Dereverberation. (Signals and Commmunication Technology) Springer, pp. 219-270. (doi:10.1007/978-1-84996-056-4_8).

Evers, Christine and Hopgood, James R. (2011) Multichannel online blind speech dereverberation with marginalization of static observation parameters in a Rao-Blackwellized particle filter. Journal of Signal Processing Systems, 63, 315-332. (doi:10.1007/s11265-009-0442-4).

Evers, Christine and Hopgood, James R. (2008) Parametric modelling for single-channel blind dereverberation of speech from a moving speaker. IET Signal Processing, 2 (2). (doi:10.1049/iet-spr:20070046).

Neo, Vincent W., Evers, Christine and Naylor, Patrick A. (2019) Speech enhancement using polynomial eigenvalue decomposition. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE.. (doi:10.1109/WASPAA.2019.8937235).

Hogg, Aidan, Evers, Christine and Naylor, Patrick A. (2019) Speaker change detection using fundamental frequency with application to multi-talker segmentation. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.. (doi:10.1109/ICASSP.2019.8682924).

Evers, Christine, Loellmann, Heinrich W., Mellmann, Heinrich, Schmidt, Alexander, Barfuss, Hendrik, Naylor, Patrick A. and Kellermann, Walter (2018) Locata challenge - evaluation tasks and measures. In Proceedings of the International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE.. (doi:10.1109/IWAENC.2018.8521288).

Neo, Vincent W., Evers, Christine and Naylor, Patrick A. (2020) Speech dereverberation performance of a polynomial-EVD subspace approach. European Signal Processing Conference, , Amsterdam, Netherlands. 18 - 22 Jan 2021. 5 pp . (In Press)

Papayiannis, Constantinos, Evers, Christine and Naylor, Patrick A. (2020) End-to-end classification of reverberant rooms using DNNs. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 1-8, [9239871]. (doi:10.1109/TASLP.2020.3033628).

Papayiannis, Constantinos, Evers, Christine and Naylor, Patrick A. (2017) Discriminative feature domains for reverberant acoustic environments. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. pp. 756-760 . (doi:10.1109/ICASSP.2017.7952257).

Evers, Christine, Moore, Alastair H. and Naylor, Patrick A. (2016) Localization of moving microphone arrays from moving sound sources for robot audition. In 2016 24th European Signal Processing Conference, EUSIPCO 2016. vol. 2016-November, European Signal Processing Conference, EUSIPCO. pp. 1008-1012 . (doi:10.1109/EUSIPCO.2016.7760400).

Papayiannis, Constantinos, Evers, Christine and Naylor, Patrick A. (2017) Sparse parametric modeling of the early part of acoustic impulse responses. In European Signal Processing Conference (EUSIPCO). vol. 2017-January, Institute of Electrical and Electronics Engineers Inc. pp. 678-682 . (doi:10.23919/EUSIPCO.2017.8081293).

Evers, Christine, Rafaely, Boaz and Naylor, Patrick A. (2017) Speaker tracking in reverberant environments using multiple directions of arrival. In 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. pp. 91-95 . (doi:10.1109/HSCMA.2017.7895568).

Gebru, Israel D., Evers, Christine, Naylor, Patrick A. and Horaud, Radu (2017) Audio-visual tracking by density approximation in a sequential Bayesian filtering framework. In 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. pp. 71-75 . (doi:10.1109/HSCMA.2017.7895564).

Evers, Christine, Dorfan, Yuval, Gannot, Sharon and Naylor, Patrick A. (2017) Source tracking using moving microphone arrays for robot audition. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. pp. 6145-6149 . (doi:10.1109/ICASSP.2017.7953337).

Foutekova, Ellina, Evers, Christine and Haas, Harald (2006) Semi-analytical model of interference in CDMA-TDD using random time slot hopping. In IEEE Vehicular Technology Conference, VTC. IEEE. pp. 1033-1037 . (doi:10.1109/VTCF.2006.219).

Hopgood, James R. and Evers, Christine (2007) Block-based TVAR models for single-channel blind dereverberation of speech from a moving speaker. In IEEE Workshop on Statistical Signal Processing, SSP. IEEE. pp. 274-278 . (doi:10.1109/SSP.2007.4301262).

Evers, Christine, Hopgood, James R. and Bell, Judith (2008) Acoustic models for online blind source dereverberation using sequential Monte Carlo methods. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. IEEE. pp. 4597-4600 . (doi:10.1109/ICASSP.2008.4518680).

Evers, Christine, Hopgood, James R. and Bell, Judith (2008) Blind speech dereverberation using batch and sequential Monte Carlo methods. In IEEE International Symposium on Circuits and Systems, ISCAS. pp. 3226-3229 . (doi:10.1109/ISCAS.2008.4542145).

Evers, Christine and Hopgood, James R. (2009) Marginalization of static observation parameters in a rao-blackwellized particle filter with application to sequential blind speech dereverberation. In European Signal Processing Conference. pp. 1437-1441 .

Evers, Christine and Hopgood, James R. (2010) Articulatory based speech models for blind speech dereverberation using sequential Monte Carlo methods. In European Signal Processing Conference. European Signal Processing Conference. pp. 2131-2135 .

Evers, Christine, Moore, Alastair H. and Naylor, Patrick A. (2014) Multiple source localisation in the spherical harmonic domain. In 2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014. Institute of Electrical and Electronics Engineers Inc. pp. 258-262 . (doi:10.1109/IWAENC.2014.6954298).

Evers, Christine, Moore, Alastair H., Naylor, Patrick A., Sheaffer, Jonathan and Rafaely, Boaz (2015) Bearing-only acoustic tracking of moving speakers for robot audition. In 2015 IEEE International Conference on Digital Signal Processing, DSP 2015. vol. 2015-September, Institute of Electrical and Electronics Engineers Inc. pp. 1206-1210 . (doi:10.1109/ICDSP.2015.7252071).

Moore, Alastair H., Evers, Christine and Naylor, Patrick A. (2015) Multichannel equalisation for high-order spherical microphone arrays using beamformed channels. In 2015 IEEE International Conference on Digital Signal Processing, DSP 2015. vol. 2015-September, Institute of Electrical and Electronics Engineers Inc. pp. 1211-1215 . (doi:10.1109/ICDSP.2015.7252072).

Evers, Christine, Moore, Alastair H. and Naylor, Patrick A. (2016) Acoustic simultaneous localization and mapping (A-SLAM) of a moving microphone array and its surrounding speakers. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. vol. 2016-May, Institute of Electrical and Electronics Engineers Inc. pp. 6-10 . (doi:10.1109/ICASSP.2016.7471626).

Moore, Alastairh, Evers, Christine, Naylor, Patrick A., Alon, David L. and Rafaely, Boaz (2015) Direction of arrival estimation using pseudo-intensity vectors with direct-path dominance test. In 2015 23rd European Signal Processing Conference, EUSIPCO 2015. Institute of Electrical and Electronics Engineers Inc. pp. 2296-2300 . (doi:10.1109/EUSIPCO.2015.7362794).

Dorfan, Yuval, Evers, Christine, Gannot, Sharon and Naylor, Patrick A. (2016) Speaker localization with moving microphone arrays. In 2016 24th European Signal Processing Conference, EUSIPCO 2016. vol. 2016-November, European Signal Processing Conference, EUSIPCO. pp. 1003-1007 . (doi:10.1109/EUSIPCO.2016.7760399).

Moore, Alastair H., Evers, Christine and Naylor, Patrick A. (2016) 2D direction of arrival estimation of multiple moving sources using a spherical microphone array. In 2016 24th European Signal Processing Conference, EUSIPCO 2016. vol. 2016-November, European Signal Processing Conference, EUSIPCO. pp. 1217-1221 . (doi:10.1109/EUSIPCO.2016.7760442).

Lollmann, Heinrich W., Evers, Christine, Schmidt, Alexander, Mellmann, Heinrich, Barfuss, Hendrik, Naylor, Patrick A. and Kellermann, Walter (2018) The LOCATa challenge data corpus for acoustic source localization and tracking. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. vol. 2018-July, IEEE Computer Society. pp. 410-414 . (doi:10.1109/SAM.2018.8448644).

Martnez-Coln, Antonio, Viciana-Abad, Raquel, Perez-Lorenzo, Jose Manuel, Evers, Christine and Naylor, Patrick A. (2021) Evaluation of a multi-speaker system for socially assistive HRI in real scenarios. Bergasa, Luis M., Ocaa, Manuel, Barea, Rafael, Lpez-Guilln, Elena and Revenga, Pedro (eds.) In Advances in Physical Agents II. WAF 2020. vol. 1285, Springer. pp. 151-166 . (doi:10.1007/978-3-030-62579-5_11).

Neo, Vincent W., Evers, Christine and Naylor, Patrick (2021) Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement. In IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP). IEEE. 5 pp . (In Press)

Hogg, Aidan, Evers, Christine and Naylor, Patrick A. (2021) Multichannel overlapping speaker segmentation using multiple hypothesis tracking of acoustic and spatial features. In IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP). vol. 2021-June, IEEE. pp. 26-30 . (doi:10.1109/ICASSP39728.2021.9414130).

Hogg, Aidan, Evers, Christine, Moore, Alastair H. and Naylor, Patrick (2021) Overlapping speaker segmentation using multiple hypothesis tracking of fundamental frequency. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29, 1479-1490, [9381673]. (doi:10.1109/TASLP.2021.3067161).

Neo, Vincent W., Evers, Christine and Naylor, Patrick A. (2021) Speech dereverberation performance of a polynomial-EVD subspace approach. In 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. vol. 2021-January, European Signal Processing Conference, EUSIPCO. pp. 221-225 . (doi:10.23919/Eusipco47968.2020.9287869).

Wang, Hsuan-Yang, Nelson, Philip and Evers, Christine (2021) Excitation-inhibition Cell activity patterns for binaural source localisation. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Mohonk Mountain House, New Paltz, United States. 17 - 20 Oct 2021. 5 pp . (In Press)

Hogg, Aidan, Neo, Vincent W., Weiss, Stephan, Evers, Christine and Naylor, Patrick (2021) A polynomial eigenvalue decomposition MUSIC approach for broadband sound source localization. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE. 5 pp . (In Press)

Neo, Vincent W., Evers, Christine and Naylor, Patrick (2021) Polynomial matrix eigenvalue decomposition-based source separation using informed spherical microphone arrays. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE. 5 pp . (In Press)

Martnez-Coln, Antonio, Viciana-Abad, Raquel, Perez-Lorenzo, Jose Manuel, Evers, Christine and Naylor, Patrick A. (2022) An audio enhancement system to improve intelligibility for social-awareness in HRI. Multimedia Tools and Applications, 81 (3), 3327-3350. (doi:10.1007/s11042-021-11291-3).

Neo, Vincent W., Evers, Christine and Naylor, Patrick (2021) Enhancement of noisy reverberant speech using polynomial matrix eigenvalue decomposition. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29, 3255 - 3266. (doi:10.1109/TASLP.2021.3120630).

Early, Joseph, Evers, Christine and Ramchurn, Sarvapali (2022) Model agnostic interpretability for multiple instance learning. International Conference on Learning Representations 2022. 25 - 29 Apr 2022. 25 pp .

Early, Joseph, Bewley, Tom, Evers, Christine and Ramchurn, Sarvapali (2022) Non-markovian reward modelling from trajectory labels via interpretable multiple instance learning. arXiv. (doi:10.48550/arXiv.2205.15367).

Contact

Telephone: +44 (0) 23 8059 6675

Email: c.evers@soton.ac.uk

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Published: 10 March 2020
Illustration
The new book is available from Edward Elgar Publishers

Leading scholars in computer science, law, philosophy and politics have assessed the momentous impact of data-driven agency on society in a newly published book.

The cross-disciplinary book, edited by the University of Southampton's Kieron O'Hara and Vrije Universiteit Brussel's Mireille Hildebrandt, explores how new types of agency are transforming democratic practices and the meaning of individual choice.

Life and the Law in the Era of Data-Driven Agency considers the latest innovations in big data, artificial intelligence and algorithms and their impact on the understanding of concepts such as agency, epistemology, justice, transparency and democracy.

The book includes contributions from Electronics and Computer Science's Professor m.c. schraefel, Dr Richard Gomer and Dr Enrico Gerding on the re-thinking of transparency for the Internet of Things. The chapter explores the concept of apparency - the making visible of hidden states of data transaction – as it builds on Engineering and Physical Sciences Research Council funded projects Meaningful Consent in the Digital Economy and the AutoTrust platform.

The book's first five chapters looks at how human agency operates in a data-driven environment, before a second group of six chapters looks at political and legal implications.

"Algorithms are increasingly determining our choices in many spheres of life, based on the giant quantities of data gathered about us, and about people like us," Kieron says. "Our behaviour, and the behaviour of others, can affect the way that information is presented to us, can highlight some alternatives and conceal others. The collection and processing of this data are hardly transparent, and so it is hard to question or resist the outcomes.

"We clearly get many valuable services via such algorithms, so the effects are not entirely negative. However, when choices are constrained, then we may be losing access to interesting and information new experiences and contacts. We may find ourselves in echo chambers or filter bubbles, where our own opinions are merely fed back to us in amplified form. And when digital architecture is designed so that certain choices are ruled out, then we lose some freedom."

Kieron is a Director of Southampton's Web Science Institute and has authored several books covering the discipline and British political theory.

"The law also restricts but it can be challenged," Kieron says. "These challenges come in a number of forms: via democratic politics, so governments can be removed if they regulate poorly or heavily; via the law itself, through appeal and judicial review; and via our behaviour, as with civil disobedience, where citizens simply break the law and accept the consequences.

"Hence the Rule of Law means that the law is authoritative and applied fairly and equally, but can also be challenged. Where technology constrains, none of these three routes exist to allow challenges. Furthermore, the law is visible, whereas technology is not (always). If my behaviour is wrong, confront me with it; don't work to prevent it surreptitiously."

Life and the Law in the Era of Data-Driven Agency is available now from Edward Elgar Publishers.

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Email:
wj1m20@soton.ac.uk

 PhD, MSc, BEng

Personal homepage

Data Scientist, Research Fellow, Visiting Academic

Dr Watthanasak Jeamwatthanachai, alias Hall, is a technological visionary and the CTO of Forti5 Technologies (UK) and Insight Business Analytics (Thailand). He earned a PhD in computer science from the University of Southampton and has been conducting research on cognitive computing and informatics in order to assist blind people in navigating independently. While in the United Kingdom, Hall worked with a number of companies to assist them in increasing profitability and in solving and optimizing complex problems using cutting-edge AI, Microservice, and system integration approaches.

Along with his research, Hall has been preparing himself for new challenges through daily self-education. According to his beliefs, he is now specializing in artificial intelligence, machine learning, and deep learning, which are used in a variety of other research areas, including cognitive computing, human-machine collaborations, intelligent and multi-agent systems, computational finance, and computer vision.

Hall is now based in Bangkok, Thailand, where he works as a researcher at NECTEC on speech processing and text understanding.

Acknowledgement to the Finnhub Stock API for all data pertaining to our financial projects and studies on which I am currently working.

Research

Research interests

Cognitive Computing, Human-Machine Collaboration, Artificial Intelligent, Machine Learning, Nutural Language Processing, Finance, Computer Vision, Multiagent System, Intelligent System, Game Theory.

Teaching

Cognitive Computing, Human-Machine Collaboration, Artificial Intelligent, Machine Learning, Nutural Language Processing, Finance.

Publications

Jeamwatthanachai, Watthanasak, Wald, Mike and Wills, Gary (2017) Map data representation for indoor navigation - a design framework towards a construction of indoor map. In 2016 International Conference on Information Society (i-Society). IEEE. pp. 91-96 . (doi:10.1109/i-Society.2016.7854184).

Jeamwatthanachai, Watthanasak, Wald, Michael and Wills, Gary (2017) Map data representation for indoor navigation by blind people. International Journal of Chaotic Computing, 4 (1), 70-78. (doi:10.20533/ijcc.2046.3359.2016.0009).

Jeamwatthanachai, Watthanasak, Wald, Michael and Wills, Gary (2019) Indoor navigation by blind people: behaviors and challenges in unfamiliar spaces and buildings. British Journal of Visual Impairment, 37 (2), 140–153. (doi:10.1177/0264619619833723).

Jeamwatthanachai, Watthanasak, Wald, Michael and Wills, Gary (2019) Spatial representation framework for better indoor navigation by people with visual impairment. Journal of Enabling Technologies, 13 (4), 212-227. (doi:10.1108/JET-12-2018-0068).

Jeamwatthanachai, Watthanasak, Wald, Michael and Wills, Gary (2019) Building rating system: an instrument for building accessibility measurement for better indoor navigation by blind people. Journal of Enabling Technologies, 13 (3), 158-172. (doi:10.1108/JET-12-2018-0060).

Jeamwatthanachai, Watthanasak (2019) Building rating system: an instrument for building accessibility measurement for better indoor navigation by blind people. The Association of Thai Professionals in European Region, Hotel Courtyard Duesseldorf Seestern, Duesseldorf, Germany. 02 - 04 Aug 2019.

Obthong, Mehtabhorn, Tantisantiwong, Nongnuch, Jeamwatthanachai, Watthanasak and Wills, Gary (2020) A survey on machine learning for stock price prediction: algorithms and techniques. 2nd International Conference on Finance, Economics, Management and IT Business, Vienna House Diplomat Prague, Prague, Czech Republic. 05 - 06 May 2020. pp. 63-71 . (doi:10.5220/0009340700630071).

Jeamwatthanachai, Watthanasak (2019) Spatial representation framework for indoor navigation by people with visual impairment. University of Southampton, Doctoral Thesis, 533pp.

Tantisantiwong, Nongnuch, Komenkul, Kulabutr, Channuntapipat, Charika and Jeamwatthanachai, Watthanasak (2020) Capturing investor sentiment from Big Data: the effects of online social media on SET50 index. CM Research Innovation, 2020 (4), 1-42, [1].

Jeamwatthanachai, Watthanasak (2015) Bidding Optimization for Display Advertising under Budget Constraint. University of Southampton, Masters Thesis, 63pp.

Contact

Email: wj1m20@soton.ac.uk

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