Dr Ritaban Dutta

Ritaban is a Senior Research Scientist and Project Leader at CSIRO's Data61, currently conducting Machine Learning research and applying Artificial Intelligence (AI) in the field of Obstructive Sleep Apnea (publication in JCSM, 2022) and in the field of Digital Material Processing & Manufacturing (publication in the Scientific Reports 11, Nature Publishing Group, 2021).

Since 2012, while at CSIRO, Ritaban successfully led AI and Machine Learning research projects in the field of Obstructive Sleep Apnea, Digital Manufacturing, Remote Sensing and Digital Agriculture. Ritaban has published more than 150+ articles in refereed journals and conferences. During his time in the UK industry, he had also co-authored and presented 50+ Technical/Client Reports. Ritaban's publications could be found at Google Scholar Site.
In 2013, Ritaban published an article in Scientific Reports 3, Nature Publishing Group, on novel application of Deep Learning for Continental Scale Bushfire Hot-Spot Prediction.
In 2016, Ritaban reported that frequency of Australian bushfire is increasing in an article published in a prestigious Royal Society journal.
In 2017 Ritaban successfully commercialised 'CSIRO's i-ekbase - a remote sensing and AI/ ML platform technology' and founded iekbase.com as a privately owned Tech Partnership.

Over the last two decades, Ritaban is undertaking research and development in all aspects of Data Science, Machine Learning, Pattern Recognition, and Sensor Instrumentation. Over the years Ritaban has managed several industrial and European Union funded R&D projects and actively took part in scientific innovation and commercialisation.
In between 2001-12, Ritaban pioneered the application of a Cognitive Biomedical Electronic Nose system for rapid bacterial infection detection in the UK's NHS hospital environment, research was covered by the BBC News. His article published in Biomedical Engineering, Springer Nature Publishing Group, has over 33k accesses as recorded until August 2021.