AUT Data Science Research Group
The Data Science Research Group (DSRG) seeks to promote research into all aspects of Data Science. Data Science is poised to become one of the most intensively researched areas within the Computer Science discipline and the research carried out by the group will be at the cutting edge of new developments in this field.
The group has a strong research profile in areas such as Big Data Processing and Data Stream Mining. In this connection we have a strong focus on developing novel techniques for integrating large streams of data in real time to support online query processing. We have also developed novel methods for change detection in data streams and capture of recurrent patterns. Others research areas of interest include Text Mining, Machine Learning, Information Visualisation, and Simulation and Modelling. The application areas where research carried out by the group is being applied are Smart Business, eHealth, Computational Sport Science, Telecommunication, Social Network, Power and Electricity and City Planning.
The Group, although based at the School of Engineering, Computer and Mathematical Sciences has a number of research collaborators, both within New Zealand and overseas. In addition, individual members of the group have strong connections with Industry in New Zealand, some of which has sponsored the group’s research activities. The group seeks to attract Doctoral students who have a strong interest in researching into any area of Data Science and provides financial support to these students whenever funds permit.
Following is the research spectrum diagram with core research areas, application domains and projects with their links.
Recent News and Events
|Third DSRG Quarterly Meeting |
We held the third and final group meeting for the year on 3rd November 2017. Two speakers gave talks on the day. Reece Robinson from Orion Health talked at length on Productising Data Science while Parma Nand gave a talk titled Making a living out of dicing, slicing, sifting, turning and tunnelling through data. How can we jump on this gravy train? Visit DSRG website for more details.
|Second DSRG Quarterly Meeting |
Our second group meeting was held on 20th July 2017. The meeting just like the first one attracted an industry representative from Teknique. Arturas Vedrickas gave a talk on Machine Vision on Embedded Systems as well as presented opportunities for collaboration with the group. Dr. Russell Pears also gave a talk entitled Identifying Precursors to Frequency Fluctuation Events in electrical Power generation Data. Visit DSRG website for more details.
| DSRG Quarterly Meeting |
DSRG organised its first quarterly meeting successfully on 4th May 2017. The meeting attracted industry representatives from Cloudera, where Thierry presented a talk on how Cloudera can help data scientists. Additionally one of the PhD student Herman from DSRG group presented his research topic.
To see more activities please visit DSRG website.
| Industrial Internet of Things Workshop 2017 |
Dr. Farhaan Mirza is running a workshop at the Industrial Internet of Things 2017 (IIOT 2017). The workshop will show how to design, develop and deliver IIOT applications. This will be held on June 29, 2017 in conjunction with the IIOT 2017 Conference in Auckland, New Zealand.
For details please visit IIOT.
|Data Science Research Group (DSRG) at SECMS with Cloudera is organising a meetup on Big Data and Business Intelligence (BI) at AUT where Doug Cutting , the father of Hadoop and Chief Architect at Cloudera is giving his talk. Please visit here for details.|
|ICE Professionals is facilitating an international programme called Winternz(www.winternz.com), where they connect students and graduates from New Zealand with established tech companies in Silicon Valley, San Francisco, USA. There is a new post-graduate role available for up to 12-months for recently finished or current master's or PhD candidates. Please visit here for details.|
|Call for papers –IEEE-IWDS 2017 |
Asif Naeem is organising a 5th version of his workshop, 5th IEEE International Workshop on Data Science (IEEE-IWDS 2017). The workshop will be held on September 13, 2017 in conjunction with the ICDIM 2017 Conference that will take place from September 12 - 14, 2017 in Fukuoka, Japan.
|3rd Data Science Research Group Workshop on Recent Developments in Data Science|