Associate Professor
Dimitri Perrin

Profile image of Associate Professor Dimitri Perrin

Faculty of Science,
School of Computer Science


Personal details

Positions

Associate Professor
Faculty of Science,
School of Computer Science

Keywords

Data Science, Complex Systems, Bioinformatics, Computational Biology, Modelling and Simulation, CRISPR, Parallel Computing, Next-Generation Sequencing, Applied Machine Learning, Biomedical Imaging

Discipline

Artificial Intelligence and Image Processing, Other Information and Computing Sciences, Biochemistry and Cell Biology

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

Qualifications

  • PhD in Computer Science (Dublin City University)

Teaching

Dr Dimitri Perrin has extensive experience in teaching, recognised by a Senior Fellowship of the Higher Education Academy (2020).

 

Current teaching:

  • IFN564: Data structures and algorithms
  • IFN646: Biomedical Data Science
  • IFN703/4: Advanced Project / Advanced Project 2

Selected publications

QUT ePrints

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

View more publications

Awards

Research projects

Supervision

Current supervisions

  • Optimising the computational performance of CRISPR/Cas guide design tools
    PhD, Principal Supervisor
    Other supervisors: Professor Chris Drovandi
  • Resource Allocation in Critical Care: Machine Learning and Ethical Decision-Making
    PhD, Principal Supervisor
    Other supervisors: Professor David Lovell
  • Reliable Uncertainty in Bayesian Neural Networks
    PhD, Associate Supervisor
    Other supervisors: Professor Clinton Fookes, Distinguished Professor Kerrie Mengersen
  • Multimodal Data Fusion of Remote Sensing and Social Media Using Machine Learning for Natural Disaster Detection and Assessment
    PhD, Associate Supervisor
    Other supervisors: Dr Alan Woodley
  • Indexing and Search of Extreme-Scale Genomic Collections
    PhD, Associate Supervisor
    Other supervisors: Associate Professor Jim Hogan
  • Implementing Bayesian Synthetic Likelihood within the Engine for Likelihood-Free Inference
    MPhil, Associate Supervisor
    Other supervisors: Professor Chris Drovandi