ARC Linkage Success for FIT

Congratulations to Professors David Abramson, Mark Wallace, Geoff Webb and Ingrid Zukerman on their successful Linkage grants in LP08 Round 2 for projects commencing mid-2008. This is a splendid outcome for FIT with 3 of Monash's 13 successful grants, ARC funding of almost $1.5m, including 5 APAI scholarships, plus matching industry cash and in-kind support. The FIT grants account for just over one third of Monash's total ARC funding from this round.

Grant Details

LP0883738
Prof DA Abramson; Dr L DeRose; Mr R Moench
A scalable debugging framework for petascale computersApproved Project Title
2008 : $ 59,631
2009 : $ 116,762
2010 : $ 105,131
2011 : $ 48,000
Primary RFCD 2803 COMPUTER SOFTWARE 1APA(I) Award(s) Collaborating/Partner Organisation(s): Cray Inc Administering Organisation: Monash University Supercomputing underpins a wide range of areas of importance to the Australian economy; mining, agriculture, engineering, medical research and pharmaceutical development to name a few. It is of critical importance thatsoftware solutions in these areas behave correctly and do not generate erroneous results. This project will develop software tools and techniques that make it possible to detect and locate errors as software is converted to run onthe next generation of 'petascale' supercomputers. We will deploy the tools both commercially through our industry partner, and also on national high performance computing facilities.

LP0883855
Prof MG Wallace; Prof GI Webb; A/Prof NL Boland; Mr IR Evans; Dr H Gu
Methods and software for efficiently solving the transportation crewing proble
2008 : $ 120,000
2009 : $ 220,000
2010 : $ 195,000
2011 : $ 200,000
2012 : $ 105,000
Primary RFCD 2802 ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING APA(I) Award(s): 3 Collaborating/Partner Organisation(s) Constraints Technologies International Pty Ltd Administering Organisation Monash University This project will target major savings in airlines, trucking, rail and public transport, with resulting benefits for industrial logistics, travel and tourism. The results discovered within the project will enable the industrial partner, CTI, to develop solutions for major companies worldwide. The results can also be transferred to other industrial optimisation applications, such as mining, services and manufacturing. Finally the project will build on Australia's international prominence in data analysis and combinatorial optimisation, and capitalise on a major opportunity for the Australian software industry.

LP0883416
Prof I Zukerman; Dr Y Marom
Sentiment detection from opinion surveys the quest for customer and employee satisfaction
2008 : $ 52,500
2009 : $ 105,000
2010 : $ 102,500
2011 : $ 50,000
Primary RFCD 2802 ARTIFICIAL INTELLIGENCE AND SIGNAL AND IMAGE PROCESSING APA(I) Award(s): 1 Collaborating/Partner Organisation(s): GAPbuster Worldwide Administering Organisation:Monash University The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post graduate students, and promote commercial interest. The demonstration prototype will provide proof of concept of an application that enables business intelligence to automatically process free form feedback from customers and employees, with resultant recommendations leading to increased customer and employee satisfaction. The applicability of the outcomes of this research to service industries will further improve Australia's service reputation.