Maryam Hosseini

Dr Maryam Hosseini

Research Profile
Maryam Hosseini

Key Info

  • Position Title
    Scientific Officer, Herpetology
  • Section
    Herpetology Collection
    Division
    Australian Museum Research Institute

I am a machine learning engineer with a passion for applying artificial intelligence to environmental and biodiversity conservation. My background is in electrical engineering and machine learning, with a focus on audio source separation.

Prior to joining the Australian Museum Herpetology team, I worked as a machine learning engineer developing audio processing algorithms for cochlear implants. At the Australian Museum, I work on bioacoustic machine learning for the FrogID project, where I develop AI systems for the automatic identification of frog species from audio recordings.

Outside of work, I enjoy dancing, birdwatching, and spending time with my partner and our two cats.

Publications

  • Hosseini, M., Brochier, T., Swanson, B., Kan, A., & Lyon, R. F. (2025). A novel CI sound coding strategy based on a cochlear model and deep neural network. In 2025 Conference on Implantable Auditory Prostheses: program book (pp. 156). Conference on Implantable Auditory Prosthesis.
  • Hosseini, M., Celotti, L. & Plourde, É (2022). End-to-End Brain-Driven Speech Enhancement in Multi-Talker Conditions. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30:1718-1733.