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Email

uwe.aickelin@unimelb.edu.au

Credentials


Position
Head, School of Computing and Information Systems
School of Computing and Information Systems
Education
PhD
University of Wales, Swansea
Masters
University of Wales, Swansea
Bachelors Degree (Honours)
University of Mannheim
ORCID

0000-0002-2679-2275

Prof Uwe Aickelin

Head, School of Computing and Information Systems
School of Computing and Information Systems

358 Scholarly works
11 Projects

HIGHLIGHTS

  • 2026

    Conference Proceedings

    Improving Emergency Department Decision-Making Through High-Cardinality Feature Integration
    DOI: 10.1007/978-3-032-10685-8_9
  • 2026

    Conference Proceedings

    Order-Aware Metric Learning for Electronic Health Records Applications
    DOI: 10.5220/0014316000004070
  • 2026

    Book Chapter

    Efficient Selection of Low-Fidelity Data for Multi-fidelity Surrogate Models
    DOI: 10.1007/978-981-95-7072-0_32
  • 2022

    Research grants (ARC, NHMRC, MRFF)

    ARC Research Hub for Digital Bioprocess Development
  • 2021

    Research contracts (non-grants)

    Faster, Smarter Pharma and Food Manufacturing
  • 2021

    Research Contracts

    Faster, Smarter Pharma and Food Manufacturing
  • 2021

    Journal article

    A review on human–ai interaction in machine learning and insights for medical applications
    DOI: 10.3390/ijerph18042121
Uwe Aickelin

Latest Honours,
Awards and Fellowships


2019
LinkedIn Spotlight Award
2019
Distinguished Professor at Shanghai Academy
2018
Qianjiang Scholar (钱江学者)
2016
Visiting Professor at Shanghai Business School

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Breathing Cycle-Aware Segmentation for Patient-Ventilator Asynchrony Detection
    DOI: 10.1109/JBHI.2025.3619269
  • 2025

    Journal article

    Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer
    DOI: 10.3390/bioengineering12111171
  • 2025

    Journal article

    Uncertainty-aware non-invasive patient–ventilator asynchrony detection using latent Gaussian mixture generative classifier with noisy label correction
    DOI: 10.1007/s41060-024-00556-3
  • 2025

    Dataset

    400,000 in-silico CHO-K1 fed-batch runs with different media concentrations, feeding strategies, and initial seeding densities
    DOI: 10.26188/28943096
  • 2025

    Journal article

    Capturing uncertainty in black-box chromatography modelling using conformal prediction and Gaussian processes
    DOI: 10.1016/j.compchemeng.2025.109136
  • 2025

    Journal article

    A synthetic over-sampling method with minority and majority classes for imbalance problems
    DOI: 10.1007/s10115-025-02394-6
  • 2025

    Journal article

    Developing interpretable machine learning models to predict length of stay and disposition decision for adult patients in emergency departments
    DOI: 10.1136/bmjhci-2024-101152

RECENT PROJECTS

  • 2025

    Research grants (international)

    Institutional Support

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