Dr Rohitash Chandra is a Senior Lecturer in Data Science at the UNSW School of Mathematics and Statistics. He leads a program of research encircling methodologies and applications of artificial intelligence. The methodologies include Bayesian deep learning, neuro-evolution, ensemble learning, and data augmentation. The applications include climate extremes, geoscientific models, mineral exploration, biomedicine, and COVID-19 where the focus has been drug selection, infection forecasting, and social media-based language modelling. Dr Chandra has also pioneered the area of language models for studying ancient religious-philosophical texts. Dr Chandra has developed novel methods for machine learning inspired by neural systems and learning behaviour that include transfer and multi-task learning, with the goal of modular deep learning. Dr Chandra used machine learning and remote sensing for mineral exploration, and is currently focusing on critical metals. He has been using machine learning for climate extremes and currently developing a model for decadal forecasts of high category cyclones.
Dr Chandra is the Data Theme Lead of the Australian Research Council (ARC ITTC) Training Centre for Data Analytics in Minerals and Resources (2020-2025). Dr Chandra is one of the Chief Investigators of the NHMRC Medical Research Future Fund (2021-2022) project on the use of machine learning for COVID-19 drug repurposing. Apart from science, Dr Chandra takes a lot of interest in literature and humanities and has edited and published poetry collections. Dr Chandra is a strong advocate of human rights and diversity and is a UNSW Cultural Diversity Champion (2021-2023).
Prior to joining UNSW, Dr Chandra held Sydney Research Fellowship at the University of Sydney (2017 - 2019). Prior to this, he has taken roles as Research Fellow in Machine Learning at Rolls Royce @Corp Lab, Nanyang Technological University, Singapore; Postdoctoral Research Fellow in Bioinformatics at Victoria University of Wellington (January to June 2012), and Lecturer in Computing Science at the University of the South Pacific (2013- 2015). Dr Chandra is originally from Fiji with a Girmit Indian heritage.
Dr Chandra is an Associate Editor (Topical Editor) for Geoscientific Model Development, Neurocomputing (Elsevier). He also served as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (2021-2022). Dr Chandra is a Senior Member of IEEE and an Associate Fellow of the British Higher Education Academy (HEA). Dr Chandra is the founding director of the Transitional Artificial Intelligence Research Group (t-AI) based at UNSW Sydney
Available Research Projects
Access research papers: https://github.com/rohitash-chandra/research
My Research Supervision
PhD research students
Masters and Honours
Completions (Honours thesis)
Completions (Masters by Research)
Recent completions - Masters by Coursework (Minor Thesis)
Research engineer and Postdoctoral Research Fellow
Master of Data Science: