Associate Professor
Richi Nayak

Profile image of Associate Professor Richi Nayak

Faculty of Science,
School of Computer Science


Contact

+61 7 3138 1976

View location details(QUT staff and student access only)

Personal details

Positions

Associate 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

Discipline

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

Awards

Research projects

Supervision

Current supervisions

  • Deep learning-based multi-modal data representation learning
    PhD, Principal Supervisor
    Other supervisors: Dr Md Abul Bashar
  • Deep Learning for Automatic Extraction of Relevant information from Text Repositories
    MPhil, Principal Supervisor
    Other supervisors: Dr Md Abul Bashar
  • ulti-View Data Learning via 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
  • Predicting regional cropping preferences using spatial twitter sentiment analysis
    PhD, Mentoring Supervisor
    Other supervisors: Dr Alan Woodley
  • Dynamic Travel Demand Estimation for Online Simulation of Large-Scale Urban Transport Networks
    PhD, Associate Supervisor
    Other supervisors: Associate Professor Ashish Bhaskar
  • Techno-economic optimisation challenges in renewable energy systems
    PhD, Associate Supervisor
    Other supervisors: Professor Graeme Millar, Dr Jonathan Love
  • 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
  • Adaptive Fault Diagnosis And Resolution System For Enterprise Data Replication System Using Reinforcement Learning
    Professional Doctorate, Principal Supervisor
    Other supervisors: Dr Maolin Tang