Professor Richi Nayak

Profile image of Professor Richi Nayak

Faculty of Science,
School of Computer Science


Personal details

Positions

Professor
Faculty of Science,
School of Computer Science

Keywords

Artificial intelligence, Data mining & knowledge discovery in databases, Machine learning, Applications of data mining, Web mining and Web Intelligence, Social Network Mining, Machine Learning for Information Retrieval

Research field

Artificial Intelligence and Image Processing, Computation Theory and Mathematics, Library and Information Studies

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Qualifications

  • PhD (Queensland University of Technology)

Professional memberships and associations

She is a Steering Committee member of the Australasian Data Mining community since 2012. She was appointed the 2017 IT ambassador of the Queensland Women in Technology (WiT) association.

Teaching

Teaching discipline:

Data Science. I am engaged in teaching Data Science related subjects. IFN509: Data Exploration and Mining IFN645: Data Mining Techniques and Applications CAB330: Data and Web Analytics IFN701 & IFN702 - Project Students Supervisor

Experience

Publications

QUT ePrints

For more publications by Richi, explore their research in QUT ePrints (our digital repository).

View more publications

Filter publications:

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/r.nayak

Awards

Selected research projects

Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.

Supervision

Current supervisions

  • Deep learning-based multi-modal data representation learning
    PhD, Principal Supervisor
    Other supervisors: Dr Md Abul Bashar
  • Deep Learning Based Automated Extraction of Relevant Information from Unstructured Documents
    MPhil, Principal Supervisor
    Other supervisors: Dr Md Abul Bashar
  • Multi-View Data Learning with Deep Matrix Factorization
    PhD, Principal Supervisor
    Other supervisors: Associate Professor Yue Xu
  • The Use of Generative Models to Address Challenges in Early Classification of Rare Outcomes on Longitudinal Datasets
    PhD, Principal Supervisor
    Other supervisors: Professor Yuefeng Li, Dr Md Abul Bashar
  • Large Network Origin-Destination Estimation leveraging feature engineering: A Comprehensive Framework
    PhD, Associate Supervisor
    Other supervisors: Professor Ashish Bhaskar
  • Controlling data mining driven risk profiles and applying them as triggers in service delivery in complex data environments
    PhD, Principal Supervisor
    Other supervisors: Professor Alistair Barros