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Dr Edi Nuryatno is a Health Informatician by profession (member of Australian Institute of Digital Health) – specializing in health data science within MIS, Researcher and Lecturer in the areas of advanced informatics. Graduated from Edith Cowan University, Australia with a PhD in MIS focusing on Human Mechanisms. He was a recipient of two Australian Scholarship Awards: the ECUPRS - International and the IPREP Western Australia. Edi holds various international certifications in digital health and a Certified Technologist for international practice accredited under International Professional Practice Partnership (Professional) – IP3P.

During the COVID-19 pandemic he was listed as COVID-19 Expert in MIS and Health Informatics by the Australian Academy of Science and a member of ANZ COVID-19 International Community.  Registered as an Expert in Information & Communication Sciences (ICS) by the National Committee for Information & Communication Sciences. Throughout this period, he was appointed as a contributor in COVID-19 Education Video Campaign by the Department of Health – Western Australia.

He teaches advanced informatics in a number of universities and holds a position as a Head of Aerospace Health Informatics Research Group in Adisutjipto Institute of Aerospace Technology. He is active in international forums/engagements as invited speaker in webinars, public lectures, and peer review publications. Edi holds numerous professional and scientific memberships, among them: 1) Australasian Institute of Digital Health (formerly, the Health Informatics Society of Australia); 2) the Australian Computer Society; and 3) the Cognitive Artificial Intelligence Research Group (Australian Branch).

NIDN: Z-00010066
Program Studi: Informatika
Subject : Engineering, Social Sciences, Cognitive Artificial Intelligence, Multidisciplinary, Mathematics, Computer Science, Decision Sciences,
Area : Analysis, Artificial Intelligence, Biomedical Engineering, Geography, Planning and Development, Information Systems, Information Systems and Management, Machine Learning, Modelling and Simulation, Multidisciplinary, Numerical Analysis, Statistics and Probability,
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Google Scholar : FMjMNW0AAAAJ
All Since 2019
Citations 71 42
h-Index 4 4
i10-Index 2 0
Orcid : https://orcid.org/0000-0002-8815-1764


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