"Towards Multi-Disciplinary Research to Drive Technological Changes in the Global Community"
Sukabumi, West Java Indonesia
28-29 July 2022
Submitted papers should follow IEEE format for conference papers. Papers should be typeset using 11-point or larger fonts, in a two-column, with ample spacing throughout and at least 1-inch margins all around. The title page of each submission should contain the title of the paper; each authors name, affiliation, and email address; and a short abstract summarizing the contributions of the paper. The full papers shall have a minimum of 4 pages and a maximum of 6 pages. Additional page(s) will be charged for $100 per page.
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Artificial Intelligence (AI) techniques have been popular in dealing with data-driven data analysis and becoming very popular in the medical domain. Due to the huge amount of data and information that can be obtained, AI techniques like Deep Learning techniques could be used to provide better insight into the data and build better decision-making models. In pathology, there has been a change from the conventional pathology workflow to a digital pathology workflow over the last decade. AI techniques have been applied in registration, classification, segmentation, and detection. It has also demonstrated that the integration between human senior pathologists and AI can be beneficial in the workflow of digital pathology. However, to translate AI techniques into real-world applications, there are challenges to be taken care of if these are to be translated into clinical applications.
Dr Kevin Wong is the Associate Professor at the Discipline of Information Technology at Murdoch University in Western Australia. He is the current Vice President (Conference) for The Asia Pacific Neural Network Society (APNNS). He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE), a Senior Member of the Australia Computer Society (ACS), and a Certified Professional of ACS. He is also the current chapter chair for the IEEE Systems, Man and Cybernetics (SMC) Society (WA Chapter). He has a strong track record of working with many industries by implementing successful AI and data analytics techniques including Artificial Neural Networks/Deep Learning, Fuzzy System, Evolutionary Algorithms and hybrid intelligent systems. His many industries collaboration and consultation projects are in the areas of petroleum, mining, medical, agriculture, defence and business. He has also many research project collaborations nationally and internationally. He has published over 250 journal and conference papers.
INTI International University, Nilai
Dr. Deshinta Arrova Dewi obtained her PhD from Faculty of Technology and Information Science, University Kebangsaan Malaysia (UKM) in 2019.
Currently she holds several administrative positions in INTI International University, Nilai, Malaysia.
Dr. Deshinta is also a supervisor for PhD, Master and Undergraduate programs and leading research grant in two projects involving Smart Agriculture and Smart Homecare System. She hold one patent with title: Nusantara Civilization History Map in 2019 and has received several number of awards as follows:
The Internet of Medical Things (IoMT) is a new technology that aims to enhance patients’ quality of life by enabling individualized e-health services that are neither time or place restricted. Since 2014, IoMT has rapidly expanded to help the global healthcare sector. This revolution will increase the link between human behavior and the built environment, greatly improving healthcare quality for both patients and providers. The Internet of Medical Things (IoMT) was started in part by emerging new technological developments, which are now gaining global attention and making it possible to track, diagnose, predict, and prevent emerging communicable diseases. In short, the healthcare system has transformed since IoMT was implemented. In this speech, we are going to explore variety of innovative ways of combining healthcare system to interact with other systems and data in the IoMT environment.
Kurniawan, Nusa Putra University, Indonesia
Teddy Mantoro, Sampoerna University, Indonesia