Projects

  • DASH: Deep learning for the automated classification of supernovae

    • Paper on “DASH: Deep Learning for the Automated Spectral Classification of Supernovae and their Hosts” (Muthukrishna et al., 2019a)
    • Thesis
    • Documentation
    • Github
    • Try pip install astrodashto get started!
    • My thesis has won several prizes for its novel approach.
      • Bok Prize Highly Commended (Awarded to the top three astronomy-related theses from all Honours/Masters students in Australia)
      • IEEE Student Thesis Prize (Awarded to the top ranked Information Technology and Electrical Engineering thesis from all undergraduate students in Queensland)
      • GBST Best Software Project (Awarded to the top ranked software-related thesis at the University of Queensland)

  • Modelling emission line profiles with multiple Gaussian components

    • V. Firpo, D. Muthukrishna, F. Campuzano-Castro, S. Torres-Flores, G. Bosch and G. Hagele, Violent star-forming processes in interacting galaxies, (2018). (in prep)
    • Paper on “Estudio en galaxias BCD: Mrk 600 y IIZw 33” (Campuzano Castro, 2018)
    • GitHub

  • Design of a portable digital oscilloscope

    • With Benjamin Jarrett and Ovindu Manawaduge