Associate Professor Dian Tjondronegoro
Associate Professor, Science and Engineering Faculty
Information Systems, Service Science
Queensland University of Technology
Seminar title: Personalised Mobile Health: Harnessing the Power of Big Data from Multimodal Signals in IoT Framework
Please submit your RSVP here. This is for catering purposes and for Menzies to stay in touch with you to advise of any potential changes, should they occur.
In a world where all things are connected (i.e. the Internet of Things), the interplay of mobile and cloud computing enables innovative services that leverage multi-modal data analytics and machine-learning to analyse person-centric data and personalise the service delivery. Mobile, wearable and ambient technologies have become ubiquitous and personal as they are always-on and readily accessible everywhere to non-invasively sense personal data using multi-modal signals, including facial expressions, physical activity, sleep, ECG (heart rate), EEG (electrical activity in brain) and the relevant contexts, such as weather and air quality. At the heart of the system, interconnected cloud services will support the integration of hard- (device based) and soft- (software based) signals to computationally predict a person’s wellness states 24/7 to assist in personalising health and wellness promotion programs.
This seminar focuses on the interdisplinary challenges of data-driven multimedia computing to support breakthroughs in the field of personalised health services technology, in order to build market-oriented professional health service platform to meet people’s growing demand for health services that actually work for each individual.
The objectives are:
Mobile-cloud services enabled health platform for monitoring and treatment of chronic diseases; and
Universal system architecture for supporting an integrated, personalized and collaborative wellness promotion programs, which emphasizes on individual’s perceived control, planned behaviour, self-efficacy, and social (peer) supports.
Dr Dian Tjondronegoro is an Associate Professor at the Science and Engineering Faculty, Queensland University of Technology. He founded and leads QUT Mobile Innovation Lab since 2010, which focuses on research, teaching, and industry engagement in mobile and multimedia computing. He has lead the mobile research and development for ARC Discovery and ARC LIEF grants and three Cooperative Research Centres (CRCs): CRC Smart Services (smart video optimisation for mobile and multi-channel delivery), CRC Rail Innovation (mobile technologies for delivering real-time transit information and mobile payment), and CRC Young and Well (mobile music tool for mood journey). Since 2009, he has been actively collaborating with cross-disciplinary researchers to design, develop, and evaluate Mobile Health applications for promoting women wellness after cancer, fostering motivations for perinatal mental health, and promoting responsible drinking. His research interest is analyzing, summarizing and visualising multimodal data (image, sound, video, and text) to support intuitive and engaging interactions through mobile and wearable devices and embedded sensors in the environment, particularly for health applications. He has published more than 120 papers in multimedia analysis, mobile health, and human-computer interactions fields, including in T-MM, JASIS, IVC journals and ACM MM conference proceedings. He is an adjunct Associate Professor of the Nursing and Midwifery school at Griffith, leading the eHealth initiatives for women's wellness research programs.