Invited Speakers

Speaker 1: 
Title: Medical Healthcare Big Data Mining and Managing by Integrated ICT and Data Science for Regulatory and Commercial Uses
Speaker: Professor Ryuji Kohno, 
Director, Centre of Medical Information and Communication Technology, and Professor, Division of Physics, Electrical & Computer Engineering, Yokohama National University, Japan

Abstract: Personal vital data should be primarily employed for their owners’ medical healthcare and wellness in a sense of primary use. EHR and EMR have been developed and applied for medical health record for medical analysis and therapy because a huge size of citizens’ vital data can be easily collected with less load of medical staffs and be useful for medical research and clinical activities including regulatory compliance exam for drags and medical devices. To collect various vital data, medical wireless body area network (BAN) has been researched and developed to be a medical platform by connecting with medical database, registry or repository through cloud network for network therapy and remote medicine and international standard of medical BAN IEEE802.15.6 was established in February 2012.  Such a medical platform of BAN, cloud network and data mining server could be a key subject of research and social services to be discussed in a field of medical ICT.  There are a lot of research subjects for such a medical platform such as (1) network architecture and database management, (2) security and dependability, (3) regulatory compliance, (4) secondary use of medical big data.  This talk will address technical aspects in (1) and (2) in a term of enhanced dependability and security of medial networking and data mining technologies, and regulatory aspects in (3) and (4) in a term of cyber physical security and authentication for medical personal data and compliance of medical data uses.  It may cover a latest status report of activities of MDD, IVDD and AIMD in EU, CFDA and CFE in China, FDA in USA and PMDA in Japan. 

Speaker Bio: Ryuji Kohno received the Ph.D. degree from the University of Tokyo in 1984. Since 1998 he has been a Professor and the Director of Centre on Medical Information and Communication Technology, in Yokohama National University in Japan. In his currier he played a part-time role of a director of Advanced Telecommunications Laboratory of SONY CSL during 1998-2002, directors of UWB Technology and medical ICT institutes of NICT during 2002-2012. Since 2012 he is CEO of University of Oulu Research Institute Japan – CWC-Nippon Co.  Since 2007 he has been a distinguished professor in University of Oulu in Finland and since 2014 a director of Kanagawa Medical Device Regulatory Science Centre.  He was a member of medical devices committee in PMDA during 2012-2014 and the Science Council of Japan since 2006.  He was a member of the Board of Governors of IEEE Information Theory Society in 2000-2009, and editors of IEEE Transactions on Communications, Information Theory, and ITS. He was Vice-president of Engineering Sciences Society of IEICE during 2004-2005, Editor-in chief of the IEICE Trans. Fundamentals during 2003-2005. He is a founder of series of international symposia of medical information and communication technologies (ISMICT) since 2006.

Speaker 2: 

Title: The Power of Diversity – Examining non-traditional data in Health.
Speaker: Dr. Ian Oppermann,
Chief Data Scientist, NSW Government and CEO of the NSW Data Analytics CentreAustralia.

Abstract: Industries had used data analytics to achieve impressive results in the personalisation of services and create greater customer intimacy. In the broad area of health, advances in non-medical data analysis have led to improved understanding of patient flow and resource management. By casting a wide net and considering a diverse range of data sets, we can see the first steps in the transformation from health being sickness management to wellness management. This presentation will highlight some real world examples from NSW.

Speaker Bio: Dr. Ian Oppermann is the NSW Government’s Chief Data Scientist and CEO of the NSW Data Analytics Centre. Ian has 25 years’ experience in the ICT sector and, has led organizations with more than 300 people, delivering products and outcomes that have impacted hundreds of millions of people globally. He has held senior management roles in Europe and Australia as Director for Radio Access Performance at Nokia, Global Head of Sales Partnering (network software) at Nokia Siemens Networks, and then Divisional Chief and Flagship Director at CSIRO. Ian is considered a thought leader in the area of the Digital Economy and is a regular speaker on “Big Data”, broadband enabled services and the impact of technology on society. He has contributed to 6 books and co-authored more than 120 papers which have been cited more than 3500 times. Ian has an MBA from the University of London and a Doctor of Philosophy in Mobile Telecommunications from Sydney University. Ian is a Fellow of the Institute of Engineers Australia, a Fellow of the IEEE, a Fellow of the Australian Academy of Technological Sciences and Engineering, is Vice President of the Australian Computer Society, and a graduate member of the Australian Institute of Company Directors. Ian is also president of the Australia National Committee of the IEC and president of the JTC1 strategic advisory committee in Australia.

Speaker 3: 

Title: Innovations in Health Technologies and data analytics for remote monitoring. Business models and regulatory issues.
Speaker: Professor Branko Celler, 
Emeritus Professor at UNSW, Australia.

Abstract: The irresistible digitization of our lives coupled with the innovative application of analytics have led to astonishing changes in the way we understand the world, the services we create and how we connect.  It can also allow us to tackle some of the biggest problems we face in the environment, food security and dealing with a growing and aging population. This presentation highlights some of the opportunities and challenges of living in a digital world.

Speaker Bio: Professor Celler is internationally recognized as an innovator and pioneer in the development and use of biomedical software and instrumentation for the telemonitoring of chronically ill patients at home. He was Head of School of Electrical Engineering at UNSW for nine years and established the Biomedical Systems Laboratory which was successful in winning more than $15m in competitive grants. He has an abiding and on-going interest in supporting health and socio-economic development of rural and remote communities through the smart use of ICT. Prof Celler has previously held positions as Executive Dean of the College of Health and Science at Western Sydney University and Chief Scientist at the CSIRO ICT Centre. He is a Fellow of the IEEE and a Fellow of the Australian Academy of Technological Science and Engineering and an inaugural Fellow of the Australian College of Health Informatics. He has published more than 200 Journal Articles and Refereed Conference Proceedings. In 2006 Prof. Celler established a start-up company Telemedcare Pty Ltd which now operates internationally and is respected for its innovation and excellence in telehealth. Professor Celler is Emeritus Professor and an active researcher at the University of New South Wales.

Speaker 4: 

Title:The doable, conceivable and improbable of health analytics.
Speaker: Dr. Federico Girosi,
 Assoc. Prof. at School of Medicine, Western Sydney UniversityAustralia.

Speaker Bio: Federico Girosi is an Associate Professor of Population Health at the  School of Medicine, Western Sydney University and the Head of Research of the Health Market Quality program of Capital Markets CRC. Dr. Girosi is a health economist and a data scientist whose interests span a wide range of topics. He is currently working in collaboration with federal and state organizations, as well as the private sector, on projects that apply data analytics to the solution of problems of immediate interest. Examples of his current projects include the development of a microsimulation for the prediction of health and health care utilization under different policy scenarios, the detection of clusters and anomalies in health trajectories, the design of customizable catchment areas and the analysis of the Australian hospital payment system. He is also a Principal Investigator in three NHMRC sponsored project grants. Dr. Girosi earned a Ph.D. in Health Policy from Harvard University in 2003 and worked 8 years at the RAND Corporation (Santa Monica, U.S.A.). He also holds a Ph.D. in Physics from the University of Genoa, Italy, and conducted research for 10 years at the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT) in the areas of machine learning and computer vision. Dr. Girosi has published in a number of peer-reviewed international journals, including the New England Journal of Medicine, Health Affairs, Nature, Science and the Proceedings of the Institute of Electrical and Electronics Engineers. He is also the author of a book, published by Princeton University Press in 2008 and co-authored by Gary King, entitled "Demographic Forecasting".

Speaker 5: 

Title: Precision Medicine: Combining Electronic Health Records, Genomics, Wearable and Sensor Data.
Speaker: Dr. Lucila Ohno-Machado,
Professor of Medicine and Founding Chair, Health System Department of Biomedical Informatics, University of California San Diego.

Abstract: Integrating different types of health data has the potential to fill important: individuals can better understand their health status and healthcare providers can provide better care for their patients. To build effective predictive models, it is necessary to have data on a large number of individuals. The All of Us Research Program (formerly known as Precision Medicine Initiative) has started to recruit participants across the USA. I will describe the California Precision Medicine Consortium, which is awarded by the All of Us Research Program. Our goal is to recruit about 100,000 participants to compose a diverse cohort of 1 million people for the next 10 years. Researchers from anywhere will be able to compute with the data. This effort intersects several disciplines, from informatics to genetics to epidemiology. It Is expected that engineers will play a significant role in designing and managing the computational environments for the program as well as integrating data from wearables and other sensors. 

Speaker Bio: Lucila Ohno-Machado, MD, MBA, PhD Received her medical degree from the University of São Paulo and her doctoral degree in medical information sciences and computer science from Stanford. She is Associate Dean for Informatics and Technology, and the founding chair of the Health System Department of Biomedical Informatics at UCSD, where she leads a group of faculty with diverse backgrounds in medicine, nursing, informatics, and computer science. Prior to her current position, she was faculty at Brigham and Women’s Hospital, Harvard Medical School and at the MIT Division of Health Sciences and Technology. Dr. Ohno-Machado is an elected fellow of the American College of Medical Informatics, the American Institute for Medical and Biological Engineering, and the American Society for Clinical Investigation. She serves as editor-in-chief for the Journal of the American Medical Informatics Association since 2011. She directs the patient-centered Scalable National Network for Effectiveness Research funded by PCORI (and previously AHRQ), a clinical data research network with over 24 million patients and 14 health systems, as well as the NIH/BD2K-funded Data Discovery Index Consortium. She was one of the founders of UC-Research eXchange, a clinical data research network that connected the data warehouses of the five University of California medical centers. She was the director of the NIH-funded National Center for Biomedical Computing iDASH (integrating Data for Analysis, ‘anonymization,’ and Sharing) based at UCSD with collaborators in multiple institutions. iDASH funded collaborations involving study of consent for data and biospecimen sharing in underserved and under-represented populations.