Svetha Venkatesh

Australian Laureate Fellow
Alfred Deakin Professor and Director
Center for Pattern Recognition and Data Analytics (PRaDA)
Deakin University, Geelong Waurn Ponds
VIC-3216, Australia


+61 3 5227 2905
FAX: +61 3 5227 2028


Svetha Venkatesh is an ARC Australian Laureate Fellow, Alfred Deakin Professor and Director of Centre for Pattern Recognition and Data Analytics (PRaDA) at Deakin University. She was elected a Fellow of the International Association of Pattern Recognition in 2004 for contributions to formulation and extraction of semantics in multimedia data, and a Fellow of the Australian Academy of Technological Sciences and Engineering in 2006. In 2017, Professor Venkatesh was appointed an Australian Laureate Fellow, the highest individual award the Australian Research Council can bestow. Professor Venkatesh and her team have tackled a wide range of problems of societal significance, including the critical areas of autism, security and aged care. The outcomes have impacted the community and evolved into publications, patents, tools and spin-off companies. This includes 554 publications, 3 full patents, 3 start-up companies (, Virtual and a significant product (TOBY Playpad). Professor Venkatesh has tackled complex pattern recognition tasks by drawing inspiration and models from widely diverse disciplines, integrating them into rigorous computational models and innovative algorithms. Her main contributions have been in the development of theoretical frameworks and novel applications for analyzing large scale, multimedia data. This includes development of several Bayesian parametric and non-parametric models, solving fundamental problems in processing multiple channel, multi-modal temporal and spatial data.

Research Areas

  • Machine Learning, Probabilistic Graphical Models and Data Mining
  • Health Analytics and Pervasive Healthcare
  • Multimedia and Socia Media Analysis

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Recent Keynotes

  • Dec 2017: Where is that data utopia? Looking beyond the data to deliver efficiencies, at Sydney Cardiovascular Symposium, (Victor Chang 18th International Symposium), Sydney
  • Nov 2017: Delivering Efficiencies in Healthcare and M201anufacturing, Digital Image Computing: Techniques and Applications (DICTA2017), Sydney
  • Nov 2017: Machine Learning for Alloy and Material design, Institute for Frontier Materials Annual Conference, Geelong
  • Nov 2017: Machine Learning, Pattern Recognition and HMR, at Research Australia University Roundtable, Melbourne
  • Nov 2017: Close Encounters with Machine Learning, Creative Innovation (CI2017), Melbourne
  • Oct 2017: Detecting rare events, International Federation of Psychiatric Epidemiology Congress (IFPE2017), Melbourne
  • July 2016: Keynote, 18th Annual Conference of the International Society for Bipolar Disorders (ISBD) and 8th Biennial Conference of the International Society for Affective Disorders Amsterdam, Netherlands
  • April 2016: Keynote, 20th Pacific Asia Conference on Knowledge Discovery and Data Mining PAKDD, April 2016, New Zealand
  • Oct 2015: Dennis Moore Distinguished Oration, Australian Computer Society, October 2015, Perth, Australia.
  • Oct 2015: Harrison Lecture for Innovation, Geelong Smart Network, Geelong, October 2015


  • iCetana: Intelligent video surveillance enabling operators to concentrate on 1% of events
  • Toby Austism Therapy: A new way to accelerate early intervention for children with Autism, empowering parents to deliver guided therapy
  • Virtual Observer: Wide area surveillance with unlimited numbers of “virtual cameras” for scene monitoring.
  • iHosp - Health Analytics