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Editor Name: Lianhua Chi
Designation: Research Scientist
University: La Trobe University
Country: Australia
Biography: Lianhua Chi is a lecturer in the Department of Computer Science
and Information Technology at La Trobe University, Australia. She completed her
dual Ph.D. in
Machine Learning and Data Mining at University of Technology Sydney (UTS), Australia, and Huazhong University of
Science and Technology (HUST), China in 2015. She joined La Trobe after almost
three years at IBM Research Australia where she was working as a Postdoc on
Watson Education and Health. Before she joined IBM Research Australia, she was
a Data Specialist at University of
New South Wales (UNSW) and a Visiting Researcher at University of Technology Sydney (UTS).
Her main research interest is in making sense of big data with effective, agile
and interactive data analytics, especially in Health Care area. Currently, she is working on AI on Health. She has
received several awards due to her research contribution, such as "Best
Paper Award", "Top 200 Young Researchers Globally", “Young
Global Changer”, "IBM External Honors" and “Romberg Grant Award”. She
has published more than 20 Research papers in International Conferences and
Journals and also filed 3 patents in these or related areas. In 2018, she was
invited to visit Harvard Medical School for potential research collaborations.