EXPLORE


0.0
0.0
0%
$40 USD / Hour
・

Australia (12:19 PM)
・
Joined on September 24, 2008
$40 USD / Hour
・
An experienced ICT Consultant with a demonstrated history spanning over 20 years in the ICT, five years in financial services superannuation/pension disciplines. Industries worked include Finance, Defence, Education, Transport, Telecom, Construction and Insurance. He holds a PhD in Computing and Information Systems and MEngSc in Mechatronics from University of Melbourne and was a member of one of the best AI research groups in Australia. He is currently the Chief Data Scientist of Triple A Super; an adjunct lecturer, Charles Sturt University and Hony Asst Treasurer of IEEE VIC/TAS Section, Australia. In his spare time, he plays Table Tennis & Chess, like cycling.
No reviews to see here!
Experience
ICT Consultant
Oct, 2006 - Apr, 2013
•
6 years, 6 months
MLCC-Australia
Oct, 2006 - Apr, 2013
•
6 years, 6 months
C++, C# Embedded Programming, VBscripting, Web Development, Excel Operations Research
Oct, 2006 - Apr, 2013
•
6 years, 6 months
Education
University of Melbourne
2009 - 2013
•
4 years
PhD

Australia
2009 - 2013
•
4 years
University of Melbourne
2004 - 2006
•
2 years
MEngSc(First Class)

Australia
2004 - 2006
•
2 years
Qualifications
Certificate IV
2007
Boxhill TAFE
Training & Assessment
2007
Publications
Optimised Sink Trajectories for Sensor Networks
LAP Lambert Academic Publishing
The performance of the Wireless Sensor Network (WSN) depends on the location of the sink node in the sensor field, assuming the sensor nodes to be relatively stationary. Most researchers have used static sink nodes and some have used multiple sink nodes. In this research study, I propose a mobile sink node for efficient data collection while maintaining the efficient performance of the network. I introduce a technique to obtain the optimum path of the sink node in a network of stationery sensor nodes, consi
Verifications