CharlesCharles C Onu

MSc, Computer Science, McGill University (2016 - 2018)
charles.onu { at }

Charles is a computer science masters student at McGill’s Reasoning and Learning lab under the supervision of lab co-director Doina Precup.

Charles’ background is in electronics and computer engineering. Generally, his research interests is in the sphere of applied machine learning, data science, and software engineering. Charles is particularly interested in healthcare applications of machine learning such as diagnostic and intelligence-based decision support systems.

Curriculum Vitae

Conferences and Papers


  1. SVM Approach to Cry-based diagnosis of Birth Asphyxia
    Charles C Onu, Innocent Udeogu, Eyenimi Ndiomu
    Award: Best Paper, Workshop on Machine Learning in Healthcare
    Neural Information and Processing Systems (NIPS), 2015


  1. Harnessing Infant Cry for Swift, Cost-effective Diagnosis of Perinatal Asphyxia in Low Resource Settings
    Charles C Onu
    International Humanitarian Technology Conference (IHTC), 2014
    Paper on IEEE Explore
  2. Harnessing Mobile Technology in the Diagnosis of Perinatal Asphyxia
    Charles C Onu
    UNESCO Chair in Technologies for Development (Tech4Dev), 2014

Current Projects

  1. Apex
    An interdisciplinary project amongst researchers in McGill’s departments of Computer Science, Biomedical Engineering and Neonatology. The Apex project is aimed at developing (ml-based) methodologies for predicting extubation readiness in extremely preterm newborns.
  2. Ubenwa
    Support by the NGO – Fisher Foundation for Sustainable Development in Africa, this is project is aimed at developing reliable (mobile) system for diagnosing perinatal asphyxia in infant though analysis of their cry.



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