Introduction
About the lecturer:
Dr. Markus Hagenbuchner (Associate Professor at UoW)
Teaching in 2020:
· CSIT321: Project
· CSCI319: Distributed Systems
· ISIT200: Industry Placement
· CSCI446: Big Data Analytics
Research interests:
· Over 20 years in AI and Machine Learning.
· Development on new ML algorithms.
· Applications to Data Mining and Big Data:
- Intrusion detection.
- Fraud detection in medical claims.
- Web spam detection.
- 5 minute ahead energy demand prediction (AEMC).
- Radiotoxicity prediction from MRI.
- Microbeam energy deposition prediction.
- …
Other roles:
· Academic Program Coordinator (BIT)
· Vice-chair of the International Association for Pattern Recognition
· Reader of international standing for the Australian Research Council
· …
Topic of keynote lectures:
Keynote lectures, two hours each, will be given online on 13/November/2020 at 8:30AM (Beijing time) and on 20/November/2020 at 8:30AM (Beijing time). The topics and content of the lectures are:
13/November/2020:
1. Introduction and overview.
2. Overview over some of the latest developments in AI.
3. Some problems in AI (with focus on deep learning).
4. A way ahead: Introduction to Fully Recursive Perceptron Networks.
20/November/2020:
1. Introduction and overview.
2. Topic and rest of content depends on feedback from students in the first lecture. Students can select a topic for this second lecture during a feedback session in the first lecture.
Meeting Link
The keynote lecture will be given online on Zoom. Six options are available to join the meeting:
https://uow-au.zoom.us/j/82487306910?pwd=cXBFUHdEZkNZRGpMMVQvT0xaNHFuZz09
Password: 067757
Meeting ID: 824 8730 6910
