Ritaban is a Data Scientist at Data61, conducting Data Analytics Research for CSIRO's Boeing collaboration, Oventus biomedical projects and various CRC initiatives.
Since 1999 he is undertaking research and development in all aspects of Machine Learning, Pattern Recognition, Sensor Instrumentation, Data Analytics and Knowledge Representation. In 2004 he was awarded PhD in engineering from University of Warwick, one of UK’s elite universities. Over the years he has managed several industrial and European Union funded R&D projects and actively took part in scientific innovation.

Since January 2017, he became Chief Executive Officer at “"., a privately owned Agri-Tech Partnership, partnering with 250 Agri-business and research institute globally. i-ekbase is an easy to use fully automated geographic information system (GIS), created by Ritaban and his team, primarily focusing on precision agricultural applications, automatically integrating data from various satellites with local weather data, farmers knowledge and applying Machine Learning techniques to create a Data Driven Future for Global Agriculture.

Ritaban pioneered the application of an Electronic Nose system for rapid bacterial infection detection in a hospital environment “BBC News". His "paper" published in Biomedical Engineering journal has over 30787 accesses as recorded until June 2018.

Ritaban's publications could be found at Publications. In 2013, he published an article in Nature Scientific Reports on novel application of Deep Learning for Continental Scale Bush-fire Hot-Spot Prediction. In 2016, Ritaban reported that frequency of Australian bushfire is increasing in an article published in a prestigious Royal Society journal. During his time in industry he had also co-authored and presented 90+ Technical/Client Reports.

Academic Qualifications

  • 2004

    PhD in Engineering
    School of Engineering, Warwick University, Coventry, UK.