Dr Arcot Sowmya This is Me

Education

 View all 15 references Web References

1. 1. UNSW SCSE Academic Staff

   www.cse.unsw.edu.au/db/staff/l - [Cached]

   Published on: 4/29/2008   Last Visited: 4/29/2008

   Arcot Sowmya,

2. 2. www.nicta.com

   www.nicta.com/director/researc - [Cached]

   Published on: 5/4/2007   Last Visited: 5/4/2007

   Dr Arcot Sowmya
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   Dr Arcot Sowmya
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   Dr Arcot Sowmya is a researcher seconded from University of New South Wales (UNSW) in to the SMLKA program. Her interests in this area include machine learning in computer vision: Machine Learning in Computer Vision: learning object models, feature extraction and recognition from high resolution remotely sensed from high resolution remotely sensed images, medical image analysis and feature medical image analysis and feature recognition, robotic vision, incremental, symbolic and statistical learning for image understanding.

3. 3. Sensor Networks Participant

   www.sensornetworks.net.au/peop - [Cached]

   Published on: 3/21/2006   Last Visited: 3/21/2006

   Associate Professor Arcot Sowmya Sensor Networks Participant
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   Associate Professor Arcot Sowmya School of Computer Science and Engineering
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   Arcot Sowmya has made significant contributions to the area of Learning in Vision since 1994. Her research in this area utilises and extends powerful machine learning techniques and applies them to the complex problem of learning object models for use in object recognition. Remotely sensed images present additional challenges. Her work in this area (with an ARC Large research grant) was extended to automatic map updating in Geographic Information Databases (GIS), and new spatial reasoning techniques for map updating were developed and implemented within popular industry tools. This project attracted industrial collaboration with Australian Surveying and Land Information Group (AUSLIG) in Canberra, and the Australian subsidiary of the San Diego, USA based company, LH Systems LLC, developers of state-of-the-art software for mapping from digital images. Her professional activities include roles as: Member of Editorial Board, Real-Time Systems, Kluwer Academic Publishers; Member, IFAC Technical Committee on Distributed Computer Control Systems; Referee for numerous international journals and many international conferences. Arcot Sowmya has begun developing learning techniques for medical images and currently holds an ARC Linkage grant, in partnership with Philips Medical Systems and Medical Imaging Australasia and is a named investigator for the Centre for Autonomous Systems, ARC Centre of Excellence.