Claire D'Este

Claire D'Este

Postdoctoral Fellow ICT

Contact

GPO Box 1538, Hobart, TAS 7001

Tel: +61 3 62325421
Email

Themes

  • Our Resilient Coastal Australia

Projects

  • Tasmanian Marine Analysis Network (TasMAN)

Biography

Dr Claire D'Este gained her PhD from the University of New South Wales and Sony Computer Science Laboratory, Paris. Her research has focused on incremental machine learning and human-robot interaction. At the Sony Computer Science Laboratory, she also worked on life-long learning methods for Sony's AIBO and Qrio robots. She has worked in Linux administration and support and was a senior developer in London creating telephone-based systems for media clients such as MTV and "The Sun" newspaper.

Within the Tasmanian Marine Analysis Network (TasMAN), Claire is developing low-cost sensor network design systems and autonomous marine vehicles.

Academic Qualifications

2007 Doctor of Philosophy, University of New South Wales
1999 Bachelor of Information Technology, First class honours, Queensland University of Technology
1996-1998 Bachelor of Applied Computing, University of Tasmania

Top 10 Publications

Publication details
Claire D'Este and Claude Sammut, “Learning and Generalising Semantic Knowledge from Object Scenes”, Robotics and Autonomous Systems, November, 2008.
Claire D'Este, “Adaptive Robot Interactions with Incremental Learning”, International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Human-Robot Interaction Stream, 2008.
Claire D'Este, Byeong-Ho Kang and Daniel Reid, “A Robotic Interface to a Medication Review Expert System”, International Symposium on Ubiquitous Multimedia Computing, 2008.
Claire D'Este, “Concept Learning with an Inquisitive Robot”, PhD thesis, 2006.
Claire D'Este and Claude Sammut, “Active Object Discovery for Communicating with Humans”, Proceedings of the Australian Conference on Robotics and Automation, 2005.
Claire D'Este, “Sharing Meaning with Machines”, 4th Workshop on Epigenetic Robotics, 2004.
Claire D'Este, Matthew O'Sullivan and Nicholas Hannah, “Behavioural Cloning and Robot Control", Proceedings of International Conference on Robotics and Applications, IASTED, 2003.
Michael Towsey, Claire D'Este and Joachim Diederich, “Neural Weak Classifiers for Language Learning”, Fifth Australasian Cognitive Science Conference, 2000.
Claire D'Este, Michael Towsey and Joachim Diederich, “Sparsely connected recurrent neural networks for natural language learning”, 5th Natural Language Processing Pacific Rim Symposium, 1999.

Links