AUT Data Science Research Group

Executive Summary

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.

Research Spectrum

Following is the research spectrum diagram with core research areas, application domains and projects with their links.

research wheel

Recent News and Events

 Dr. Mahsa Mohaghegh was successful in a competitive application for a visiting professorial opportunity to the University of St. Bonaventure in New York. She was selected based on her experience and research in Artificial Intelligence, Machine Learning, and the Future of Work, as well as her efforts for diversity in STEM fields. She spent the week after 16th August 2018 giving public keynote presentations at three different campuses of the university, as well as delivering seven guest lectures on Machine Learning, Artificial Intelligence and Internet of Things. Discussion regarding future research collaborations with University of St. Bonaventure was also part of the agenda. Check our news and events page for related details.
 PhD student Yuanyuan Shen under the guidance of Prof. Edmund Lai and Dr. Mahsa Mohaghegh was successful to receive the Callaghan innovation R&D grant through Faceme. Her project is titled "Deep Learning-based Question Answering System". Click here for more information on research opportunities.
 Boris Bačić  presented Augmented Rehabilitation and Coaching Systems at the Sport Performance Innovation Forum, held at QBE Stadium on 23rd May 2018. Click here for more details.
 How can optimisation, data science, AI, and mathematical algorithms make your business thrive?
ORMAE NZ is organizing the following event at AUT on 17th May.  Dr Amit Garg CEO & founder of ORMAE from Bangalore, the Silicon Valley of India is a speaker. Click here for more details.
 DSRG team including Russel Pears, Muhammad Asif Naeem, and Farhaan Mirza received Callaghan Innovation funding of $100K on project “Narrative extraction and synthesis to make sense of visual media coming from a camera”.

Data Science Research Group(DSRG) at AUT is organizing the 6th IEEE International Workshop on Data Science (IWDS 2018) in conjunction with 13th IEEE International Conference on Digital Information Management (ICDIM 2018). The IWDS workshop aims at providing a forum for presenting latest research results, new technology developments, and new applications in the areas of Data Analytics, Data Mining, Machine Learning, Stream Data Processing, and Data Warehousing. Click here for more details.


4th Workshop on Recent Developments in Data Science Held on  21st Feb 2018                            

DSRG successfully hosted the  4th Workshop on recent developments in Data science on 21st Feb 2018 at  AUT. Industry speakers, as well as our staff and students, made presentations on the current state of data science and how collaborations with the research community can be actualized. Click here for more details.

 4th Workshop on Recent Developments in Data Science  
DSRG will be hosting the  4th Workshop on Recent Developments in Data Science on 21st February 2018, here  at AUT.  Click here for more details.
 Deans Award
Rivindu Perera, a DSRG member who recently completed his PhD, received "Dean's Award of Excellence - 2017" for the outstanding performance in postgraduate studies in Computer Science, Information Technology, Software Engineering, and Mathematical Sciences. Click here for more details.
 CS4HS 2017
Mahsa Mohaghegh organized CS4HS workshop at AUT. The aim of the workshop was supporting digital technologies teachers with training in STEM subjects in New Zealand schools, and creative ways to present these in the classroom. Click here for more details.
Hoa Nguyen's PGR 9 Presentation
On 16th November 2017, Hoa Nguyen, made her proposal presentation. Her research is titled, IoT-based monitoring in Healthcare: Case study of falls detection  and  Management. Click here for more details.
  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(, 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