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Deep Learning on Healthcare Data

September 24, 2019 @ 5:00 pm - 7:00 pm

M&T Resources is proud to be sponsoring this Canberra Data Scientist / Statistical Society of Australia (SSA) joint event, which is being held at ANU College of Business & Economics. The event will consist of networking opportunities in addition to a 45 minute presentation on the topic of ‘Deep Learning on Healthcare Data’, delivered by Dr Guodong Long, a Senior Lecturer within the Faculty of Engineering and IT at the University of Technology Sydney (UTS).

Speaker: Dr. Guodong Long, UTS

Dr. Guodong Long is a Senior Lecturer within the Faculty of Engineering and IT at the University of Technology Sydney (UTS). He is also a core member of UTS Centre for Artificial Intelligence. He is currently leading a research group to conduct application-driven research on machine learning and data mining. Particularly, his research interests focus on several application domains, such as NLP, Healthcare, Smart Home, Education and Social Media. He is leading a team to conduct a long-term research collaboration with Australia Government Department of Health. He is an active researcher with more than 50 publications in top conferences (e.g. AAAI, IJCAI, ICLR, and ICDM), and highly ranked journals (e.g. IEEE TPAMI, TCYB, and TKDE). See his recent publications on Google Scholar Profile


Deep learning techniques have revolutionized many fields including computer vision, natural language processing and speech recognition, and is fundamentally changing healthcare industries. Various types of data have been emerging in modern healthcare research, including electronic health records (EHR), clinical imaging, and continuous monitoring data, which are noisy, complex, high-dimensional, multi-modal, poorly annotated and generally unstructured. Healthcare applications pose many significantly different challenges to existing deep learning models. Some examples are interpretation of prediction, missing values and privacy preservation. In this talk, we will discuss the challenges and solutions to the problems in healthcare applications, as well as datasets and demos.

Dr. Long will also introduce an internship and PhD Opportunity in Data Science with Department of Health and UTS. 


5:00pm Networking and Refreshments (pizza, drinks and snacks)
5:45pm – 6:45pm Presentation


Please follow the link to submit your RSVP:


Zunaeed Kamal


ANU College of Business & Economics
CBE Building
26C Kingsley Street, ACT 2601 Australia
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