Interactive Digital Media

 NameResearch Interests
Assoc Prof A S MadhukumarModulation and multiple access schemes for future broadband systems Advanced signal processing algorithms for wireless communication systems Cognitive radio systems: algorithms and architectures Cooperative Radio Systems for Mobile multi-hop networks Ultra wideband radio systems for wireless personal area networks
Assoc Prof Alexei SourinShape modeling, shared virtual environments, haptic interaction, web visualization and visualization on the Grid, virtual surgery, scientific visualization, and cyber-learning.
Asst Prof Alton Chua Yeow KuanHis current research interests lie in communities of practice, knowledge management strategy, leadership and online education
Assoc Prof Anamitra MakurMultirate Signal Processing, Signal/Image/Video Compression Image Processing
Dr Andrzej Stefan SluzekA/Prof Andrzej Sluzek's areas of expertise are machine vision, intelligent robotics, and digital systems. His recent research works focus on visual information retrieval using machine vision techniques, implementation of vision-based sensory devices and gated imaging systems.
Asst Prof Andy Khong Wai HoongAdaptive filters Acoustic source localization Acoustic system identification Seismic signal processing Speech dereverberation
Dr Ang Yew HockImage and video processing - image compression, image and video content analysis and recognition. Computer networking - multimedia QoS networks, and cooperation in mesh networks.
Assoc Prof Anilkumar K SamtaniProf Samtani's areas of expertise are in intellectual property law and information technology law. His current research works focus on trademarks and bilateralism in intellectual property rule-making.
Assoc Prof Arthur Lee GilbertImpact of case teaching on learning (in-progress); Adoption of new technological innovations; Public policy to encourage network-based startups; Use of ubiquitous ad-hoc network technologies, especially by public sector.
Asst Prof Arul Indrasen ChibDr. Arul Chib's research and teaching examines the impact of campaigns delivered via a range of communication technologies. The primary theoretical deliberation is around developing a robust explication of the mechanisms underlying the process of media effects. The analysis attempts to bridge multiple level of analysis: technology-mediated effects at the individual level and socially-mediated effects at the structural level. In terms of theorizing, the literature on health campaigns shows a paucity of documented learnings about specific projects. Much of the evidence is anecdotal, atheoretical, or at the global level of analysis. Further, while recently there is a trend towards looking at collective social-level phenomena, the theory lags the praxis. The notion that the process of social change brought about by communication technologies involves interaction between members of the social system, in addition to the direct effects paradigm, is far from new. Comparative testing of the mixed influence of communication technologies and interpersonal communication, and the process by which this occurs, has rarely been clarified in much detail, or linked to theoretical constructs. My research aims to develop quantitative models and methodologies that can capture processes at both individual and subgroup levels. I co-developed a stochastic, agent-based simulation model of information diffusion, called dFusion that examines these two influences: socially- and technology-mediated. It focuses on differential, rather than absolute, speeds of access to information. Specifically, the model demonstrates a clear causal link between social and/or media latency and the equality of information diffusion in a given network. The next step was to examine field-based data for testing theoretical validity. The model was tested using JHUCCP data collected during an HIV/AIDS media campaign in Namibia. Integrating traditional statistical analysis with social network analysis reveals the significance of socio-structural factors. Methodologically, limitations arise from missing attribute data of alters (individuals in one's network); diminishing validity of network measures of betweenness, a vital aspect of information flows. Further, the lack of panel data limits the ability to measure social influences. To address these concerns, my 2005 research project is designed as a pre-post health intervention located in the barrios (slums) of Lima, Peru. Multimedia games targeted at youth aid in sexual and reproductive health learning. We find that technology-mediated game-playing can be as, and in some cases are more effective than traditional health interventions. Further, the nature of a respondents' social ties (friendship, advice, and co-playing) determines the impact on efficacy and learning. Behavioral measures were inadequate for theoretical analysis due to the limited length of the intervention. Methodologically, self-reporting of social ties may be less revealing than measuring actual social interaction. My current research project presents an opportunity to address these limitations. I spent 2006-7 in the field initiating multiple ICT for development (ICT4D) projects in tsunami-affected countries. Foremost amongst these was a UNICEF/ UNFPA/ World Vision-funded cell-phone solution to improve maternal and infant mortality in the tsunami-ravaged regions of Banda-Aceh, Indonesia. This allows rural midwives to link up to hospital-based doctors to aid complicated pregnancies, receive training and support from coordinators at health centers, and instantaneously deliver medical indicators via SMS to a central database. This project, divided into test and control groups, has multiple data-collection points extending over 18 months. Traditional survey methodologies and social network analysis are triangulated with qualitative interviews, health-care statistics and telecommunication data.
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