The University of Newcastle, Australia

Delivering person-centred care through new technology

The Centre for Brain and Mental Health Research is delighted to invite you to the e-Mental Health Conference

The conference will provide a forum focusing on applying information and communication technologies in person- centred strategies of mental health care. It would contribute to generating, verifying and refining theories and practices of employing technologies in person-centred care.

Conference Purpose

  • To promote initiatives in using information and communication technologies in person-centred care delivery.
  • To reinforce the significance of evidence based e-health practice in promoting, maintaining and restoring health.
  • To define critically the roles of e-health in attaining excellence in care and explore the issues related to these roles.
  • To examine global and regional strategies of enhancing e-health practice and research.
  • To promote a renewed sense of commitment to e-health through regional and international networking and collaboration.

Conference Details

  • When: 15th and 16th November, 2018
  • Where: NewSpace XG18, Cnr Hunter and Auckland Streets, Newcastle NSW
  • Contact: cbmhr@newcastle.edu.au

Keynote Speakers

Dr Sandra Bucci

University of Manchester
Division of Psychology & Mental Health

Dr Sandra Bucci is a Senior Lecturer in Clinical Psychology. Her research is centred around examining psychological processes involved in the development and maintenance of psychosis and developing interventions for psychosis. Her recent research has focused on evaluating innovative methods to facilitate access to, and delivery of, interventions for severe mental health problems.

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Professor Ravishankar K. Iyer

University of Illinois at Urbana-Champaign

Ravishankar K. Iyer, PhD is George and Ann Fisher Distinguished Professor of Engineering and leads the DEPEND group at the Coordinated Science Laboratory at University of Illinois at Urbana-Champaign. He holds joint appointments in the Departments of Electrical and Computer Engineering and Computer Science, in the Coordinated Science Laboratory (CSL) the National Center for Supercomputing Applications, and the Carl R. Woese Institute for Genomic Biology. He is also a Faculty Research Affiliate at the Mayo Clinic, a Visiting Associate Professor in the Department of Surgery at the National University of Singapore and an Adjunct Faculty at the University of New South Wales. He currently co-leads the CompGen Initiative at Illinois and is the Principal Investigator for the Center for Computational Biology and Genomic Medicine (CCGBM). Funded by NSF, the CompGen machine research aims to build a new computational platform to address both accuracy and performance issues for a range of genomics applications. Also funded by NSF, the CCBGM partners with industry leaders, hospitals, and research laboratories such as Abbott Molecular, Dow AgroSciences, Eli Lilly, IBM, Strand Life Sciences, Intel, Xilinx and OSF Healthcare to utilize the power of computational predictive genomics to advance pressing societal issue. Prof. Iyer is a world leader in dependability and fault-tolerance of extreme-scale systems and applications, and was instrumental in the design of the world’s largest academic supercomputer, Blue Waters, at Illinois. His current interests are in building novel computational systems, such as the CompGen machine that is tailored for achieving computational performance in healthcare applications at scale and that brings together innovations in software and hardware through the design of custom accelerators. The development of a data-driven analytics framework, through the CompGen machine, has enabled discoveries in both clinical and biological settings. At the heart of this framework is a set of tools that combine probabilistic graphs such as factor graphs with game-theoretic models, machine learning methods and multivariate statistics to jointly analyze multi-omic science data with longitudinal clinical data from electronic health records. This framework has been used to i) enable the discovery of novel biomarkers for drug mechanisms in triple-negative breast cancer using single-cell transcriptomics data, ii) predict clinical outcomes in patients with major depressive disorder using metabolomics data, iii) predict the onset of adenocarcinoma in lung cancer using transcriptomics data using novel game theoretic formulation, and iv) predict long-term surgical risk in aging population of Singapore’s diabetic patients from processing population-scale electronic health records. He has received several awards, including the American Institute of Aeronautics and Astronautics (AIAA) Information Systems Award, the IEEE Emanuel R. Piore Award, and the 2011 Outstanding Contributions award by the Association of Computing Machinery—Special Interest Group on Security for his fundamental and far-reaching contributions in secure and dependable computing. Professor Iyer is also the recipient of the degree of Doctor Honaris Causa from Toulouse Sabatier University in France.

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