Joint Seminar with SSA: Deep Learning on Healthcare Data


Details
This is a joint event with the Statistical Society of Australia (SSA) Canberra Branch. The talk will be of 45m presentation plus 15m Q&A. There will also be pre-talk drinks and nibbles from 5pm to 5:45pm, kindly sponsored by M&T Resources.
Topic: Deep Learning on Healthcare Data
Speaker: Dr. Guodong Long, UTS
Date: Tuesday 24 September 2019
Venue: Allan Barton Forum, College of Business and Economics, Building 26C ANU (Map: https://goo.gl/maps/2hFRZhJkxPA2).
Agenda:
5:00pm Networking and Refreshments (pizza, drinks and snacks)
5:45pm – 6:45pm Presentation
RSVP: https://www.meetup.com/CanberraDataSci/events/258109952/
Abstract:
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. A flyer on that is provided in the Photos section below.
Bio:
Dr. Guodong Long is a Senior Lecturer at Faculty of Engineering and IT in 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: https://scholar.google.com.au/citations?user=Pl8m7hMAAAAJ
Website link:
SSA: https://statsoc.org.au/Canberra-Branch-meetings
Meetup: https://www.meetup.com/CanberraDataSci/events/258109952/

Joint Seminar with SSA: Deep Learning on Healthcare Data