Prof. James, Jhing-fa Wang
Tajen University, Taiwan
National Cheng Kung University, Taiwan
Orange Technology and Trend of Future Information Technology
The first ever World Happiness Report has been published recently by the United Nations, it reflects a new worldwide demand for more attention to happiness as criteria for government policy. This also calls upon science and technology in both natural and social domains to be developed for promoting a happy and healthy lifestyle in our modern society.
To meet such a world trend, the Orange Technology research has been first proposed in National Cheng Kung University in Taiwan in 2008. The Orange Technology refers to a newly evolved interdisciplinary research area for integration and innovation of health, happiness, and care technologies. The research scope includes computer science, electrical engineering, biomedical engineering, psychological/physiological science, cognitive science, and social science. The representative color of Orange Technology originates from a harmonic fusion of red (representing brightness of health and happiness) and yellow (representing warming care). Instead of emphasizing the relations between environments and humans, as proposed by green technology, the objective of Orange Technology will explore the innovative technologies to bring more health, happiness, warming care, and more mental wellness to the society.
So far, we have developed many new models for the Orange Technology such as the H2O model, 3D model of happiness, SEE-H methodology H-POS for service engineering and Happiness informatics for the detection, measurement and feedback of the happiness emotion.
Concerning about the future IT trend, the trend of IBM, Microsoft, Forbes Technology and Intel will be reported in this presentation.
The outline of this talk is shown below:
1. Introduction to Orange technology
2. The Trend of Future Information Technology Development & Application
3. Happiness Informatics: A New Paradigm for Information Technology
4. Orange technology and Big Data & Big Health
5. Conclusion & Future Development
Prof. Jhing-Fa Wang is currently the President of Tajen University and a Chair & Distinguished Professor in the Department of Electrical Engineering, National Cheng Kung University (NCKU). He got his bachelor and master degree from NCKU in Taiwan and Ph. D. from Stevens Institute of Technology USA in 1973, 1979 and 1983 respectively. He is the former chair of IEEE Tainan Section. He was elected as IEEE Fellow in 1999 for his contribution on:”Hardware and Software Co-design on Speech Signal Processing”, He was also the general Chair of ISCAS 2009.
He received Outstanding Research Awards and Outstanding Researcher Award from National Science Council in 1990, 1995, 1997, and 2006 respectively. He also received Outstanding Industrial Award from Institute of Information Industry and the Outstanding Professor Award from Chinese Engineer Association, Taiwan in 1991 and 1996 respectively. He also received the culture service award from Ministry of Education, Taiwan in 2008, Distinguished Scholar Award of KT Li from NCKU in 2009 and IEEE Tainan Section Best Service Award in 2011.
Prof. Wang was also invited to give the Keynote Speeches in PACLIC 12 in Singapore, 1998, UWN 2005 in Taipei, WirlessCom 2005 in Hawaii, IIH-MSP2006 in Pasadena, USA, ISM2007 in Taichung, PCM 2008 in Tainan and ICAST2011 in Dalian, China and DLT 2015 in Kaohsiung, Taiwan respectively. He also served as an associate editor on IEEE Transactions on Neural Network and IEEE Transactions on VLSI System and Editor in Chief on International Journal of Chinese Engineering from 1995 to 2000.
Prof. Wang’s research areas are on multimedia signal processing including speech signal processing, image processing, and VLSI system design. Concerning about the publication, he has published about one hundred & thirty journal papers on IEEE, SIAM, IEICE, IEE and about two hundreds international conference papers. Recently he also proposed the” Orange Technology” to promote technology for humanity.
Prof. Yanchun Zhang
Professor and Director
Centre for Applied Informatics
Victoria University, Australia
Smart Health at the age of Big Data - Medical Data Mining and Innovative Applications with Patient Monitoring and Aging Care
Due to the recent development or maturation of database, data storage, data capturing, and sensor technologies, huge medical and health data have been generated at hospitals and medical organizations at unprecedented speed. Those data are a very valuable resource for improving health delivery, health care and decision making and better risk analysis and diagnosis. Health care and medical service is now becoming more data-intensive and evidence-based since electronic health records are used to track individuals' and communities' health information (particularly changes). These substantially motivate and advance the emergence and the progress of data-centric health data and knowledge management research and practice.
In this talk, we will introduce innovative data mining techniques and case studies to address the challenges encountered in e-health and medical big data. This includes techniques and development on medical data streams, correlation analysis, abnormally detection and risk predictions with patient monitoring and aging care applications.
Yanchun Zhang is a full Professor and Director of Centre for Applied Informatics at Victoria University since 2004. He is one of the National "Thousand Talents Program" Experts in China since 2010 (currently with Fudan University).
Dr Zhang obtained a PhD degree in Computer Science from The University of Queensland in 1991. His research interests include databases, data mining, web services and e-health. He has published over 300 research papers in international journals and conference proceedings including ACM Transactions on Computer and Human Interaction (TOCHI), IEEE Transactions on Knowledge and Data Engineering (TKDE), SIGMOD and ICDE conferences, and a dozen of books and journal special issues in the related areas. Dr. Zhang is a founding editor and editor-in-chief of World Wide Web Journal (Springer) and Health Information Science and Systems Journal (BioMed Central), and also the founding editor of Web Information Systems Engineering Book Series and Health Information Science Book Series. He is Chairman of International Web information Systems Engineering Society (WISE). He was a member of Australian Research Council's College of Experts (2008-2010), and also serves as expert panel member at various international funding agencies such as the Royal Society of New Zealand Marsden Fund and National Natural Science Fund of China (NSFC).