Professor James Bailey
Contact
NAME@ADDRESS
where NAME = baileyj and ADDRESS = unimelb.edu.au
Phone: +61 3 8344 1319
Fax: +61 3 9349 4596
Postal: School of Computing and Information Systems,
The University of Melbourne, Victoria 3010, Australia.
Face to face: Room 7.09, Doug McDonell Building
( Building 168).
Research Interests
- Machine learning
- Artificial intelligence
- Data mining
- Applications
- Learning Analytics
- Immersive simulation
- Computational Health Informatics
Publications
Recent Research Funding
- Personalised data analytics for the Internet of Me.
ARC Discovery Grant 2017-2019.
-
Data driven decision making for complex problems.
ARC Discovery Grant 2017-2019.
-
Tripwire Generation for a Surgical ITS: What is the effectiveness of a data driven approach?. Office for Naval Research 2017.
-
Multi source inference from heterogeneous dynamic networks.
ARC Discovery Grant 2014-2016.
-
Automating real-time feedback in virtual reality training through data mining.
ARC Linkage Grant 2013-2015.
-
Smart comparison and assessment of prediction models for better health using next generation data mining.
ARC Future Fellowship 2012-2015.
Research Students I Supervise or Co-supervise
- Sadaf Afrashteh: PhD student working on ethics and transparency of AI
- Sobia Amjad: PhD student working in health informatics
- Sukarna Barua: PhD student work on machine learning
- Tahrima Hashem: PhD student working on data mining
- Yunzhe Jia: PhD student working on data mining
- Xingjun Ma: PhD Data mining driven feedback in virtual environments
- Anam Khan: PhD student working on learning analytics
- Donia Malekian: PhD student working on learning analytics
- Mahtab Mirmomeni: PhD student working on spatial analytics
- Sadia Nawaz: PhD student working on learning analytics
- Somayeh Naderivesal: PhD student working on spatiotemporal knowledge discovery
- Florin Schimbinschi: PhD student working on machine learning
- Namrata Srivastava: PhD student working on learning analytics
- Shuo Zhou: PhD student working on data mining.
A list of completed students is here.
Professional Activities
- PC or SPC member for
- KDD 2018, IJCAI 2018
- PAKDD 2017, ICDM 2017
- KDD 2016, ECML-PKDD 2016, ICDM 2016
- KDD 2015, SDM 2015, ICDM 2015, ECML-PKDD 2015, PAKDD 2015
Teaching in 2018
This page, its contents and style, are the responsibility of the author
and do not necessarily represent the views, policies or opinions of The
University of Melbourne.