Roger Zimmermann is Associate Professor in the School of Computing, National University of Singapore. He received his Ph.D. degree in Computer Science from the University of Southern California, Los Angeles. His research activities focus on streaming media architectures, peer-to-peer systems, immersive environments, collaborative large-scale group communications, and mobile location-based services. Roger Zimmermann has co-authored a book, two patents and more than eighty conference publications, journal articles and book chapters in the areas of multimedia and databases.
Roger Zimmerman is Co-Principal Investigator for the Events in the World project and he provides direction and support for computer science research team in the Multimodal Analysis Lab. In addition, Roger Zimmermann will oversee the technical development of the multimodal analysis software.
Theo van Leeuwen
Theo van Leeuwen is Professor and Dean of Humanities and Social Sciences at the University of Technology, Sydney (UTS), Australia. He is one of the top international researchers in multimodal social semiotics, and he has written many books and articles on critical discourse analysis, visual communication and multimodality. His most recent books are Introducing Social Semiotics (Routledge, 2005) and Global Media Discourse with David Machin (Routledge, 2007).Theo is the founder and editor for the journal Visual Communication, and he has also worked as a film and television producer, scriptwriter and director. Theo van Leeuwen provides direction for the semiotic modelling and multimodal analysis of the images, video texts and interactive digital sites, especially in relation to the spoken language, music and sound tracks, and the visual imagery.
Lev Manovich is a Professor at the Visual Arts Department, University of California – San Diego (UCSD) where he teaches practical courses in digital art as well as history ad theory of digital culture. He also directs the Software Studies Initiative at California Institute for Telecommunications and Information Technology (CALIT2), and he is also Visiting Research Professor at Godsmith College (London), De Montfort University (UK) and College of Fine Arts, University of New South Wales (Sydney).
His books include Software Takes Command (released under CC license, 2008), Soft Cinema: Navigating the Database (The MIT Press, 2005), and The Language of New Media (The MIT Press, 2001) which is hailed as “the most suggestive and broad ranging media history since Marshall McLuhan.” He has written 90+ articles which have been reprinted over 300 times in 30+ countries.
Kevin Judd is Professor in the School of Mathematics and Statistics at the University of Western Australia. Kevin is a mathematician who works in the area of dynamical systems theory, optimization and computer aided teaching. He is the computer programmer who developed Systemics 1.0, software for linguistic analysis of text.
Bradley Smith is an independent researcher and collaborator with the Multimodal Analysis Laboratory at the National University of Singapore. He is collaborating on the development of software for the study of multimodal discourse, with a particular focus on the ‘soundtrack’ aspects such as speech, music and (other) sound (to paraphrase a well-known book title). His PhD, undertaken at Macquarie University, was entitled ‘Intonational Systems and Register: A Multidimensional Exploration’, applying Halliday’s description of intonational systems to the study of register variation. He is interested in the roles of sonic resources within cultures (including spoken reading of written text), and in reflecting on human capacities for making meaning out of and thereby communicating through just about anything.
Peter Wignell is Visiting Senior Fellow in the Department of English Language and Literature at the National University of Singapore. Peter has a PhD in Linguistics from the University of Sydney. He also has a Master of Arts (Applied Linguistics) from Macquarie University and a Bachelor of Arts (Honours) from the University of Sydney.Peter’s specialties are Systemic Functional Linguistics and multisemiotic discourse analysis using a Hallidayan framework. Among Peter’s research interests are:the application of linguistics to language and literacy education, the role of language in the construction of specialized knowledge and the relationships between text and images in multisemiotic texts. Peter’s most current research has been into the roles of images and text in children’s picture books.
Chris is a Consultant Advisor at the Interactive and Digital Media Institute (IDMI) at National University of Singapore (NUS). He received his PhD in Microelectronics from the Laboratory of Computer Science, Robotics and Microelectronics (LIRMM) at the University of Montpellier in 2003 while working as a research scientist in embedded imaging and multimodal biometric systems at STMicroelectronics. The topic of his PhD thesis was “Person identity verification using iris recognition algorithms”. He then joined the Australian Centre for Field Robotics at the University of Sydney where he led the ‘Small Flyer’ project until 2007. His work was focused on visually guided Micro Aerial Vehicles (MAVs) and more particularly on the design and development of innovative computational camera systems and algorithms for wide-angle imaging and depth perception. In September 2007, Chris accepted a business opportunity with DxO Labs, a fast-growing start-up developing Extended Depth-of-Field (EDoF) technologies for camera phone applications, where he was appointed Deputy Chief Scientist and Research Director of the B2B division. Since October 2008, Chris lives in Singapore and provides consulting in the areas of pupil function engineering and co-design of hybrid optical-digital imaging systems. He also spent one year working as a Senior Research Fellow at Singapore’s Agency for Science, Technology and Research (A*STAR), conducting research on solid-state refocusing (i.e. digital refocusing from a single photo).
His current research interests at NUS include the exploration of semiotic models for (3D) visual inference.