Mark Bishop

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Mark Bishop is professor of Cognitive Computing at Goldsmiths, University of London, and former chair of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB). He has published widely in areas of Artificial Intelligence, Machine Learning and Neural Computing.

He is currently working at Tunsten Centre for Intelligent Data Analytics, a new commercial research project to develop a fully functional state-of-the art spend analytics system. Research includes:

  • Semantics
  • Automatic ontology generation
  • Trend analysis: prediction of future price fluctuations

Publications and seminars

UK

  • COGS Seminar, University of Sussex, UK, (February 2010).
  • Mechanical Bodies, Mythical Minds, Middlesex University (October 2008), Hertfordshire University (October 2008), UK Cybernetics Society, Kings College (July 2007), Oxford Brookes University (April 2004), The Whitehead Lectures on Cognition, Computing & Creativity, Goldsmiths (November 2004), Warwick University (January 2004), Exeter University (February 2003)
  • Cry robot: the crocodile tears of a computing machine, Centre for Cognitive & Neural Systems, University of Warwick, UK, (December 2007).
  • An Introduction to Stochastic Diffusion Processes, Nottingham Trent University, Nottingham, UK, (January 2007).
  • An Introduction to Search and Optimisation using Stochastic Diffusion Processes, Department of Computing, University of Essex, UK, (February 2004).
  • Society Rules: the role of Stochastic Diffusion Processes in Cognition, Computation & Culture, Goldsmiths, University of London, (May 2003).
  • Dancing with Pixies: strong Artificial Intelligence & panpsychism, IBM Hursley Institute of Technology, Winchester (July 2003), Functional Imaging Laboratory, University College London (November 2001), Queen Mary College, University of London (March 2001), University of Oxford (November 2000), University of Reading Public Lecture Program, (October 2000).
  • Stochastic Diffusion Process: self organisation, search & intelligence, University of Cardiff (November 2001), University of York (March 2001), University of Kent (March 2001) and Imperial College, London, (November 1999)
  • Redcar Rocks: Strong artificial intelligence and panpsychism, McKay Institute of Communication & Neuroscience, University of Keele (June 1999).

Plenary

  • Philosophy of the Information and Computing Sciences, The Lorentz, Leiden, Netherlands
  • 8th Annual Hatter Lecture, Zombie Robots & Killer Droids, ORT Seminars on Robotics & Technology, ORT House Camden (October 2009).
  • Symposium on Human and Robot, 39th International Symposium for Robotics, ISR 2008, COEX Convention Center in Seoul, Korea (October 2008).
  • Debate on Machine Consciousness, IEE Conference on Biologically Inspired Cognitive System, Stirling (August 2004).

International

  • Talk on Philosophy of Information, Lorentz Centre, Leiden University, Holland, (February 2010).
  • Seminars on the Chinese room, Microsoft Research, Seattle, USA, (2002).
  • The Restaurant Game, Alexandria University, EGYPT, (1997).
  • A Tutorial on Weightless Neural Networks, Alexandria University, EGYPT, (1997).

Mark d’Inverno

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Mark d’Inverno is Professor of Computer Science and Pro-Warden for Research and Enterprise University at Goldsmiths, University of London, and for four years between 2007 and 2011 was head of the Department of Computing which has become one of Europe’s leading centres for interdisciplinary research and teaching especially in the arts increasingly in the social sciences.

He holds an MA in Mathematics and an MSc in Computation from the University of Oxford and a PhD from University College London entitled “Agents, Agency and Autonomy”.

He has published over 100 articles including authored and edited books, chapters in books, and journal and conference articles leading interdisciplinary computer science research projects in multi-agent systems, biological systems, music, art, design, education and social media.

He is currently working with Matthew Yee-King on the Music Circle System, an online educational social media system that promotes social learning.

This was part of a large €3 million European project which delivered courses for many thousands of students with partners including:

  • Goldsmiths’ Music and Computing departments
  • London Chamber Orchestra
  • coursera
  • Sussex University
  • Point Blank.

They are currently investigating a range of data-anaytics techniques to understand the nature of online social learning that has been supported through the music circle system. This is currently being spun out as the company Museifi Ltd. Mark was the lead scientist that put together the research team that provided the initial Country Check system that was bought by Thompson Reuters. About the Country Check system

Publications

Designing educational social machines for effective feedback
M. Yee-King, M. Krivenski, H. Brenton, A. Grimalt-Reynes, M. d’Inverno. 8th International Conference on e-learning. Lisbon, Portugal, 15-18 July, 2014.

Fluid gesture interaction design applications of continuous recognition for the design of modern gestural interfaces
Bruno Zamborlin, Frédéric Bevilacqua, Marco Gillies and Mark d’Inverno. ACM Transactions on Interactive Intelligent Systems, vol. 3, pp. 30-45, ACM Press, 2014, ISSN 2160-6455, [Article].

Automatic Group Interactive Radio Using Social Networks of Musicians
Benjamin Fields, Christophe Rhodes and Mark d’Inverno. ICWSM-11 Fifth International AAAI Conference on Weblogs and Social Media, pp. 478-481, Barcelona, ES, The AAAI Press, 2011, [Conference].

Analysis and Exploitation of Musician Social Networks for Recommendation and Discovery
Ben Fields, Kurt Jacobson, Christophe Rhodes, Mark d’Inverno, Mark Sandler and Michael A. Casey. IEEE Transactions on Multimedia, vol. 13, pp. 674-686, IEEE Circuits & Systems Society, 2011, ISSN 1520-9210, [Article].

Agents in bioinformatics computational and systems biology
Emanuela Merelli, Giuliano Armano, Nicola Cannata, Flavio Corradini, Mark d’Inverno, Andreas Doms, Phillip Lord, Andrew Martin, Luciano Milanesi, Steffen Möller, Michael Schroeder and Michael Luck. Briefings in Bioinformatics, vol. 8, pp. 45-59, Oxford University Press, 2007, ISSN 1467-5463, [Article].

Projects

PRAISE: Performance and pRactice Agents Inspiring Social Education
Aim: a system for enabling online communities to practice and perform together using state of art in music analysis gesture analysis, natural language and community management

  • Duration: 2013-2016
  • Funding Source: European Union FP7 Strep Project
  • Total Project value: €3,500,000
  • Partners: Artificial Intelligence Research Institute, Spanish Research Council, Spain; Sony Computer Science Laboratory, Paris; VUB University Brussels, Principal Investigator

ACE: Autonomic Agents For Online Cultural Experiences

  • Aim: to enable users to synchronously share their online experiences including social synchronous browsing and annotation
  • Duration: 2011-2013
  • Goldsmiths: €325,000 Euros
  • 1st call of the ERA-NET CHIST-ERA (European Coordinated Research on Long-term Challenges in Information and Communication Sciences\Technologies
    Partners: Artificial Intelligence Research Institute, Spanish Research Council, Spain; Toulouse Institute of Computer Science Research, France
    Principal Investigator

Creativeworks – AHRC Digital Economy Hub
Aim: build new partnerships and commercial opportunities between academia and the Creative Economy

  • Duration: 2012 – 2016
  • Total Project value: £4,000,000
  • Funding Source: Arts and Humanities Research Council
  • Partners: Queen Mary, University of London (lead institution); Birkbeck College; Central School of Speech and Drama; City University; the Courtauld Institute; Kingston University; Guildhall School of Music and Drama; King’s College London; Royal Holloway; School of Oriental and African Studies; Roehampton University; Trinity Laban Conservatoire of Music and Dance; University of the Arts
    Co-investigator and Goldsmiths lead

Vconect: Video Communications For Networked Communities
Aim: novel video communication technologies for communities building intelligent multi-camera and multi-location video communication combined with synchronous video share

  • Duration: 2011-2014
  • Total Project value: €5,500,000 Euros
  • Funding Source: European Union FP7 Strep Project
  • Partners: BT, Alcatel-Lucent (Belgium), Portugal Telecom, CWI (Netherlands), Fraunhofer (Germany), Joanneum Research (Austria), Eurescom (Germany), University College Falmouth (UK)
    Co-investigator

OMRAS2: A Distributed Research Environment for Music Informatics and Computational Musicology
Aim: framework for annotating and searching collections of both recorded music and digital score representations

  • Duration: 2007 – 2011
  • Funding Source: Engineering and Physical Sciences Research Council (EPSRC)
  • Project Value: £2,183,000
  • Goldsmiths Value: £735,000
  • Web (project): http://www.omras2.com
  • Partners: Queen Mary, Kings College, Royal Holloway, Lancaster University, University of Surrey
    Principal Investigator

Ida Pu

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Dr Ida Pu (PhD, University of Warwick) is a lecturer in Computer Science, Goldsmiths, University of London. Her research has centred on the design and analysis of algorithms, and crosses various application areas such as  mobile data communications, networks, data compression, computer security and MRI data analysis.

Ida’s interests in average case analysis of algorithmic performance falls in a challenging but rewarding research area. Apart from classical deterministic and sequential algorithmic work, she published also in the more difficult areas of parallel and randomised algorithms. Her earlier projects aim to develop parallel algorithms for uniform generation at random of combinatorial structures (e.g. paths, spanning trees, random graphs and strings) that occur in many applications. The constant worst case access time achieved in the matricial space economy project helps explain formally why the simple approach introduced seems to be so useful in practice. The error propagation project quantifies the errors in diffusion tensor imaging. The project of expanding ring search develops energy-efficient search algorithms for mobile Ad Hoc networks, and the brain functional imaging project develops MR imaging techniques to study brain characteristics and functions. Ida’s recent research interests include efficient algorithms for large data sets and collective intelligence in applications in body networks and brain imaging.

Ida has a wide technical experience in Computer Science. She has taught many main courses in Computer Science in areas of Artificial Intelligence, Computer Security, Data Compression, Data Structures, Algorithm Design, Computer Communication and Networks, Databases, Computer Programming (e.g. in Java, UNIX/Linux, Miranda, C, MATLAB, Pascal, Fortran, COBOL, Assembly Language), Electronics, and Discrete Mathematics. Many of these courses have been taught in Goldsmiths, both locally and internationally via the international programmes of the University of London. Some were taught overseas in Beijing, HK and Singapore. She has also published six subject guides for the University of London.

Ida has been invited and served as an external examiner for the Xian Liverpool Jaotong University, China; King’s College London; Queen Mary University of London; University of Liverpool; Liverpool John Moore University; Buckinghamshare New University; and the University of London, UK.

Authored Books

I M Pu, Fundamental Data Compression, Elsevier, 2006, ISBN 978-0-7506-6310-6, ISBN 0-7506-6310-3

I M Pu and S Miao, Laboratories for Modern Electronics, Beijing University of Technology Publisher, 1989, ISBN: 7-5639-0026-8 (in Chinese)

Other publications

Ida M Pu, Yuji Shen, ‘Analytical Studies of Energy-Time Efficiency of Blocking Expanding Ring Search’, Mathematics in Computer Science 3(4): 443–456 (2010) ISSN: 1661-8270

Ida M Pu, Yuji Shen, ‘A framework for chase strategies in recent energy or time efficient route discovery protocols for MANETs’, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011, ISBN: 978-1-4577-0352-2

Ida Pu, Yuji Shen, ‘Enhanced Blocking Expanding Ring Search in Mobile Ad Hoc Networks‘, in proceedings of the Third International Conference on New Technologies, Mobility and Security (NTMS 2009), pp451–455, 2009

Ida M. Pu, Daniel Stamate, Yuji Shen,
‘Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks‘, Journal of Discrete Algorithms 24: 59-67 (2014)

Yuji Shen, Yi-Ching L. Ho, Rishma Vidyasagar, George Balanos, Xavier Golay, Ida M.Pu, Risto A. Kauppinen, ‘Gray matter nulled and vascular space occupancy dependent fMRI response to visual stimulation during hypoxic hypoxia’, NeuroImage 59(4): 3450-3456 (2012)

Y Shen, I M Pu, T Ahearn, M Clemence, C Schwarzbauer, ‘Quantification of venous vessel size in human brain in response to hypercapnia and hyperoxia using magnetic resonance imaging’, Magnetic Resonance in Medicine Volume 69, Issue 6, pages 1541–1552, June 2013

Ida Pu, Yuji Shen, ‘Efficient algorithms for noise propagation in diffusion tensor imaging’, in London Algorithmics 2008: Theory and Practice: (Texts in Algorithmics) eds. J Chan, J K Daykin, M S Rahman, 1 June 2009, ISBN: 978-1904987970

Daniel Stamate, Ida Pu, ‘Imperfect Information Fusion using Rules with Bilattice based Fixpoint Semantics’. Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer-Verlag, IPMU (3) pp181-190 (2012)

Wekinator

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Wekinator is software for real-time, interactive machine learning. Wekinator facilitates the use of machine learning as a prototyping and design tool, enabling composers, musicians, game designers, and makers to create new gestural interactions or semantic analysis systems from data.

Authored by Dr Rebecca Fiebrink, Wekinator has been downloaded over 3000 times and used in dozens of computer music performances utilising new musical instruments built with machine learning.

Vconect: Video Communications For Networked Communities

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Vconect are novel video communication technologies for communities building intelligent multi-camera and multi-location video communication, combined with synchronous video share

  • Duration: 2011-2014
  • Total Project value: €5,500,000 Euros
  • Funding Source: European Union FP7 Strep Project
  • Partners: BT, Alcatel-Lucent (Belgium), Portugal Telecom, CWI (Netherlands), Fraunhofer (Germany), Joanneum Research (Austria), Eurescom (Germany), University College Falmouth (UK)
    Co-investigator
  • Vconect website

Transforming Musicology

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Funded under the AHRC Digital Transformations in the Arts and Humanities scheme, Transforming Musicology seeks to explore how emerging technologies for working with music as sound and score can transform musicology, both as an academic discipline and as a practice outside the university. The work is being carried out collaboratively between Goldsmiths College, Queen Mary College, Oxford University, the Oxford e-Research Centre, and Lancaster University with an international partner at Utrecht University.

Telepresence Reinforcement-Learning Social Agent

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European Commission FP7 TERESA project

The TERESA project aims to develop a telepresence robot of unprecedented social intelligence, thereby helping to pave the way for the deployment of robots in settings such as homes, schools, and hospitals that require substantial human interaction. In telepresence systems, a human controller remotely interacts with people by guiding a remotely located robot, allowing the controller to be more physically present than with standard teleconferencing. We are developing a new telepresence system that frees the controller from low-level decisions regarding navigation and body pose in social settings. Instead, TERESA will have the social intelligence to perform these functions automatically. In particular, TERESA will semi-autonomously navigate among groups, maintain face-to-face contact during conversations, and display appropriate body-pose behaviour.

Achieving these goals requires advancing the state of the art in cognitive robotic systems. The project will not only generate new insights into socially normative robot behavior, it will produce new algorithms for interpreting social behavior, navigating in human-inhabited environments, and controlling body poses in a socially intelligent way. The project culminates in the deployment of TERESA in an elderly day centre. Because such day centres are a primary social outlet, many people become isolated when they cannot travel to them, e.g., due to illness. TERESA will provide a socially intelligent telepresence system that enables them to continue social participation.

Teclo Networks AG

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Teclo is using its knowledge and experience in TCP/IP data acceleration to help mobile operators and businesses significantly improve the speed, stability and efficiency of data delivery across networks around the world. Performance improvement can be significant – even where latest generation hi-speed technology is being used – and the benefits, immediate.

RAPID-MIX

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Realtime Adaptive Prototyping for Industrial Design of Multimodal Interactive Expressive Technology (RAPID-MIX) is a Horizon 2020-funded project. The RAPID–MIX consortium has devoted years of research to the design and evaluation of embodied, implicit and wearable human-computer interfaces. These interfaces, developed and applied through creative fields such as music and video games, provide natural and intuitive pathways between expressivity and technology.

RAPID–MIX will bring these innovations out of the lab and into the wild, directly to users, where they will have true impact. RAPID–MIX will bring cutting edge knowledge from three leading European research labs specialising in embodied interaction, to a consortium of five creative companies.

PRAISE: Performance and Practice Agents Inspiring Social Education

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PRAISE is a system for enabling online communities to practice and perform together using state of art in music analysis gesture analysis, natural language and community management. It is a social network for music education with tools for giving and receiving feedback. It aims to widen access to music education and make learning music more accessible and more social.

At its heart PRAISE will provide a supportive, social environment using the latest techniques in social networks, online community building, intelligent personal agents and audio and gesture analysis.

Any member of any community can post audio to any community for which they are a member and ask for specific kinds of feedback on various regions of that audio. Any community member can respond with text, or with other audio to emphasize a particular point about style or performance for example.

  • Duration: 2013-2016
  • Funding Source: European Union FP7 Strep Project
  • Total Project value: €3,500,000
  • Partners: Artificial Intelligence Research Institute, Spanish Research Council, Spain; Sony Computer Science Laboratory, Paris; VUB University Brussels, Principal Investigator