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Email

usha.nattala@unimelb.edu.au

Credentials


Position
Senior Research Data Specialist
School of Computing and Information Systems
Education
Masters (Coursework)
National University of Singapore
Bachelors Degree
University of Mumbai
ORCID

0000-0002-0360-6900

Ms Usha Nattala

Senior Research Data Specialist
School of Computing and Information Systems

12 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Raising the bar: Deep learning on comprehensive database sets new benchmark for automated fission-track detection
    DOI: 10.1016/j.cageo.2025.106096
  • 2025

    Journal article

    Climate-related disaster risk in Australia: Are risks higher for disadvantaged households?
    DOI: 10.1016/j.ecolecon.2025.108686
  • 2025

    Journal article

    Influence of ENSO, droughts, and temperature rise on pollen and pollen seasons in Australia
    DOI: 10.1016/j.scitotenv.2025.179326
  • 2024

    Journal article

    A machine learning approach to identify stride characteristics predictive of musculoskeletal injury, enforced rest and retirement in Thoroughbred racehorses
    DOI: 10.1038/s41598-024-79071-1
  • 2024

    Journal article

    Forecasting dead fuel moisture content below forest canopies – A seven-day forecasting system
    DOI: 10.1016/j.agrformet.2024.110217
  • 2024

    Other

    Using a value chain to develop a new warning service from scratch - epidemic thunderstorm asthma risk forecasts in Victoria, Australia
    DOI: 10.5194/ems2024-631
  • 2024

    Journal article

    Seasonal Patterns and Allergenicity of Casuarina Pollen in Sydney, Australia: Insights from 10 Years of Monitoring and Skin Testing
    DOI: 10.3390/atmos15060719
Usha Nattala

RECENT SCHOLARLY WORKS

  • 2023

    Journal article

    Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics
    DOI: 10.1109/TNSRE.2023.3321874
  • 2022

    Book Chapter

    A forest fuel dryness forecasting system that integrates an automated fuel sensor network, gridded weather, landscape attributes and machine learning models
    DOI: 10.14195/978-989-26-2298-9_1
  • 2021

    Journal article

    Regionally aggregated, stitched and de-drifted CMIP-climate data, processed with netCDF-SCM v2.0.0
    DOI: 10.1002/gdj3.113

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