Dr Leisa Armstrong is Senior Lecturer within the School of Science. Dr Armstrong is the Leader of the eAgriculture Research Group.
Current Courses taught in 2015 (2 Semester Local offerings, and 2 International Campus offerings)
- CSI6219 Principles of Project Management (85 students, on-campus/online (Local and INT)
- CSI6220 Project Preparation (35 students, on-campus/online (Local and INT)
- CSI6221/CSI6222 Masters Project Units (7 students, on-campus/online (Local and INT)
- CSP3242/CSP5242 - Internet and Java Programming (70 students, on-campus/online (Local and INT)
- CSI3303 Component Based Software Engineering (50 students, on-campus/online (Local and INT)
- CSP3341 Programming Languages and Paradigms (80 students, on-campus/online (Local and INT)
- ISS3101 International Science Study Project (10 students, on-campus/online Summer Unit)
I have been
working as a computer science lecturer in the School of Computer and Security
Science since 2002. Previously, I worked as an agricultural research scientist
in Department of Agriculture and Food, Western Australia State government for 9
years on a number of Grains industry funded projects. My agricultural research
cereal agronomy and physiology and the effects of environmental stress on crop
production. I also have a PhD in Weed Science from the Faculty of Agricultural
Science from University of Queensland awarded in 1994 and worked as a research
assistant at the University of Queensland.
also have worked at a number of universities in Western Australia and
Queensland as a lecturer and tutor in both computing, agricultural and
I have also worked as
an analyst programmer on a number of projects for WA state government before
joining Edith Cowan University in 2002. I also have previous owned a computer
software consultancy company before joining Edith Cowan University.
of Australian Society of ICT in Agriculture (present)
- President Asian Federation of ICT in Agriculture (2014- present)
Committee member of Academic Staff Association of Edith Cowan University
committee member of National Tertiary Education Union Edith Cowan University
India Business Council (WA)
of Precision Agriculture Australia
Society of ICT in Agriculture
of Electrical and Electronic Engineers, (IEEE)
Computer Machinery (ACM)
- International Association for
development of the Information Society (IADIS)
- International Federation for
Information Technology in Tourism (IFITT)
Awards and Recognition
National and International Awards
- Appointed President of Asian Federation of Information Technologies in Agriculture (AFITA) in September 2014.
- Appointed President of Australian Society of ICT in Agriculture in 2012.
- 2011 Perth Convention Bureau Development Professional Development Awardee
- CRA Travel Scholarship to attend the CRA Peer Mentoring workshop in Sante Fe, USA in November 2008.
- Grains Research and Development Corporation (Australia) postgraduate scholarship in Department of Agriculture, University of Queensland ($40 000 per annum/3 years) from 1988-1993
National and International Research Positions
- Appointed Adjunct Faculty in Computer Science Department, University of Mumbai India, in July 2012.
- Appointed PhD Guide in Computer Science Department, University of Mumbai India in July 2012.
- Visiting Professorship at CSRE, IIT Bombay , India for 3 months from April to June 2012.
- Visiting Professorship at School of Resource Engineering, Khon Kaen University in July-Sept 2012.
- IIIT Hyderabad Visiting Fellowship Awardee for 2012
- Awarded a Khon Kaen at School of Resource Engineering University Visiting Fellowship in July 2011.
- Visiting Professorship at School of Resource Engineering, Khon Kaen University in July-Sept 2012
Research Areas and Interests
As part of
my research activities, I have a number
of research collaborations which are
agriculture environmental and medical sector focussed in the areas of data
mining and image processing in agricultural and biological systems, geospatial
technologies, mobile and wireless
technologies, web and software systems.
This area of research is focused on the use
of information and communication technologies in agricultural and related
industries and is an emerging discipline.
My research focus has been on the application of data mining techniques
to improve the selection of crop varieties and to find ways to respond to
environment changes predicted by climate change. I am involved in research on
Artificial Intelligence and geospatial techniques, agricultural informatics and agricultural production systems, tools and decision systems, environmental sensor networks,
mobile technologies, web and software systems.
Artificial Intelligence and geospatial techniques
- eAgriculture methodologies for crop variety decision support and climate change predictions Development and application of data mining techniques and frameworks for interrogation of agriculture land use data;
- Image processing techniques for plant identfication.
- Application of data mining techniques for interrogation of landuse and GIS data sets for water catchments; and
- Decision support for catchment management web-based expert systems anomaly detection in multidimensional data sets
- Application of data mining clustering techniques for soil profile mapping.
Agricultural informatics projects
- Development of ICT Frameworks for Agricultural Information Dessemination
- Multilanguage delivery of agricultural information through the use of Industry Portals
- The use of ICT to improve the delivery of Agricultural information to Thailand Farmers
- Agricultural Library data repository project
Agricultural software tools projects
- Online tools for the crop variety selection using real time data mining techniques
- Data mining tools for visualization of water catchments
- ePortals for agriculture information dessemination
- Mobile delivery of agricultural information (Thailand)
- Various software tools projects with DAFWA
Sensor Networks /Mobile Applications
- Wireless mesh network project for Grain Quality laboratories
- Environmental sensor project
- eBib track LBS project
This area of research involves the application of image processing
and automation techniques for medical, agricultural and environmental problems.
Medical Image Processing
- An Automated Approach to Identify Ovarian Tissues Using Histopathology Digitized Colour Images
- Human Activity Monitoring using Kinect camera images and power sensor data
Satellite Image Processing
- NDVI and DEM analysis for water shed management
Biological Image Processing
- Automated Image processing
for plant classification