Research Member of Common Room
Oxford Institute of Biomedical Engineering (IBME)
Achut received his BS degree with Honours in Electrical Engineering from Fairleigh Dickinson University, USA in 2008, and his MS and PhD degrees in Electrical Engineering from Duke University, USA in 2012 and 2015, respectively. His previous research focussed on developing new machine learning approaches for two different applications: ground-penetrating landmine detection using radar, and human affect recognition using audio, visual, and physiological data. His research uses Bayesian inference, nonparametric learning, hierarchical modelling, variational learning, and time-series analysis.
Achut works on UPGro/REACH study, funded by the UK Department for International Development (DFID) and the Natural Environment Research Council (NERC). He is developing novel machine learning approaches for improving water and health security in developing regions, including Kenya, Bangladesh, and Ethiopia. This research involves close collaboration with colleagues at the School of Geography and the Environment.