Personnel
Principal Researcher
Dr John Triantafilis
Senior Lecturer
School of Biological Earth and Environmental Sciences
The University of New South Wales
Ph 02 9385 8087
Fax 02 9385 1558
E-mail:
j.triantafilis@unsw.edu.au
Research Staff
Dr Sam Buchanan
Research Officer
EM surveying and soil sampling
GIS development
Web GIS development
Dr Thomas Bishop
Research Fellow
EM surveying and soil sampling
GIS development
Web GIS development
Mr Jingyi Huang
PhD student
EM surveying and soil sampling
GIS development
Web GIS development
Technical Staff
Mr Mohammad Faruque Ahmed
Technical Officer/ Masters Student
EM surveying and soil sampling
Laboratory analysis
Dr Ranjith Subasinghe
Technical Officer
EM surveying and soil sampling
Laboratory analysis
Mr Matthew McRae
Technical Officer
EM surveying and soil sampling
Mr Michael Short
Technical Officer
EM surveying and soil sampling
Dr Raj Singh Malik
Technical Officer
Laboratory analysis
Mr Matthew McRae
Technical Officer
EM surveying and soil sampling
Ms Esta Kokkoris
Masters Student
EM surveying and soil sampling
Laboratory analysis
Honours Students
Mr James Cuppit
BScAgr (Honours) 1998.USyd
Recharge studies in the lower Namoi valley
Ms Amanda Ferris
BSc (Honours) 1999 USyd
A Study of deep drainage and irrigation management in Gwydir valley
Ms Lisa Nelson
BSc (Honours) 2001 USyd
Simulating crop response to saline water in the upper Namoi valley
Mr Owen Gwilliam
BSc (Honours) 2001 USyd
Soil salinity assessment using EM34 in the Bourke Irrigation District
Ms Lisa Lee
BAgrEc (Honours) 2003 USyd
Cost benefit analysis of improved water management in Gwydir valley
Mr Isaac Gibbs
BScAgr (Honours) 2003 USyd
Soil pattern recognition using fuzzy k-means and remotely sensed data
Mr Kevin Lau
BEnvSci (Honours) 2007 UNSW
Mapping cation exchange capacity using electromagnetic induction and geostatistical methods in an irrigated cotton growing field in the lower Namoi Valley
Ms Belinda Kerridge
BEnvSci (Honours) 2007 UNSW
Elucidation of soil management units In an irrigated cotton field using fuzzy k-means analysis of ancillary data