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George Karystianis has a multidisciplinary background with a Bachelor of Science in Computer Science Medicine and a Master of Science in Health Informatics. He completed his Ph.D. in Text Mining Epidemiology at the University of Manchester in 2014. With over fifteen years of experience, he specializes in designing text mining systems and understanding complex data needs. His notable projects include leading an initiative involving text mining half a million domestic violence police records, which aim to extract key characteristics for predictive analytics and surveillance purposes. This project, in collaboration with the NSW Police Force, resulted in high-profile publications and federal government reports. His innovative work on text mining systems has significantly impacted research methodologies. George collaborates with esteemed institutions globally, maintaining strong research ties with the University of Manchester, the National Institute of Health, and others. He is also an honorary fellow at the Institute of Human Rights and the Ageing Futures Institute of UNSW due to the nature of his work.
University of New South Wales • Kensington
Conduct research in text mining and its applications in epidemiology and health informatics.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.