Research


My research interests are in Data Mining, Machine Learning and Neural Networks, and their applications for Pattern Recognition, text, image and video processing.  In particular, I am interested in algorithms for classification and prediction (supervised learning) and clustering (unsupervised learning) and their applications.

  • In a classification task, given a set of examples with their correct class (label), the goal is to build a classifier that can be used to predict the class of new, unseen, examples. Some of the classification tasks I have worked on are: classifcation of sleep stages in babies from EEG, EMG and other biological signals, decoding motor commands from EEG brain activity (brain-computer interfaces), recommending movies using collaborative filtering and content-based approaches, recognising fingerprints, filtering spam from non-spam e-mail. Prediction tasks are similar to classification tasks but the value to be predicted is numeric. I have worked on electricity load prediction from previous historical data and predicting sucessful interactions in online dating.
  • In clustering, given a set of unlabelled examples, the goal is to group data into several clusters according to their similarity. I have worked on clustering for educational data mining (extracting patterns distinguishing the stronger and weaker groups in software development projects from online interaction traces); keyframe extraction in video, video summarization and non-linear access to the relevant material and finding similar genes in microarray data.

I am a member of CHAI and Schwa Lab.


See also  publications, students and reviewing

Research Interests


  • Data Mining, Machine Learning and Neural Networks, in particular methods for classification and prediction
  • Recommender Systems, in particular People to People Recommenders (e.g. matching people in online dating systems)
  • Text Mining and Sentiment Analysis
  • Pattern Recognition (e.g. analysing biomedical data)
  • Educational Data Mining (mining student logs, assessment data and student evaluation of teaching)

Current projects


  • Recommender systems for online dating (with Joshua Akehurst, Luiz Pizzato, Kalina Yacef, Judy Kay and Tomasz Rej) [ chai intranet ]
  • Electricity load forecasting (with Mashud Rana, Valentina Cupac, Alexandra Kotillova and Vassilios Agelidis)
  • Sentiment analysis (with Tim O'Keefe and James Curran)

Research grants


  • Smart Services CRC grant: Personalisation H3, Judy Kay, Irena Koprinska and Kalina Yacef, $142K, 2010-2011.
  • Smart Services CRC grant: Multi-channel Content Delivery and Mobile Personalisation H3, James Curran, Michael Fry, Judy Kay, Irena Koprinska, Bob Kummerfeld and Kalina Yacef, $379K, 2010-2011.
  • Smart Services CRC grant: Personalisation, Judy Kay, James Curran, Irena Koprinska, Kalina Yacef. $253K, 2009-2010.
  • University of Sydney Bridging support grant: Sequential patttern analysis in learning traces, Kalina Yacef, Judy Kay and Irena Koprinska, $15K, 2007.
  • University of Sydney bridging support grant: Data Mining of Learner Models, Kalina Yacef, Judy Kay and Irena Koprinska, $36K, 2006.
  • Smart Internet Technology CRC grant: Bridging the Gap: Smart Support for the Intergenerational Distributed Family, Bob Kummerfeld, Judy Kay, Kalina Yacef, Irena Koprinska and Josiah Poon, $270K, 2005-2007.
  • Smart Internet Technology CRC grant: Machine Learning for the Smart Personal Assistant, Irena Koprinska and Josiah Poon, $19K, 2003-2004. Collaboration with ANU and Griffith University.
  • SESQUI Early Career grant: Video Segmentation and Summarization Using Neural Networks, Irena Koprinska, $16K, 2002.
  • Smart Internet Technology CRC: Knowledge Aquisition and Machine Learning, Joseph Davis, Judy Kay, Irena Koprinska, Josiah Poon, Masahiro Takatsuka and Kalina Yacef, $46K, 2002.

Conferences


IJCAI: | 2013 | 2011 | 20092007 | 2005 |
ECAI:  | 2012 | 2010 | 2008 | 2006 |
AusAI: | 2011 | 2010 | 2009 |
ECML-PKDD: | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 |
ICML: | 2011 | 20102009 | 2008 | 2007 | 2006 |
KDD: | 2011 | 2009 |
ICDM | 2011 |2010|
PAKDD: | 2012 | 2011 | 2010 | 2009 |
AusDM: |2011 | 2009 | 2008 |
RecSys: | 2012  | 2011 | 2010 |
ICPR: | 2012 | 2010 | 2008 |
IJCNN: | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 |
ICANN:  | 2011 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 |
ESANN: | 2012 | 2011 |
WI: | 2011 | 2010 | 2009  | 2008 | 2007 | 2006 |
EUSIPCO: | 2012 | 20112010 | 2009 | 2008 | 2007 | 2006 |
ADCS: | 2011 | 2010 | 20092006 | 2004 | 2003 |
ACSW: | 2012 | 2011 |
EDM: | 2012 | 2011 |