MELBOURNE eRESEARCH GROUP
The Melbourne eResearch Group (MEG) under the leadership of Professor Richard Sinnott in the School of Computing and Information Systems supports the development, support and delivery of research-oriented IT systems to a wide range of research communities at the University of Melbourne. We provide research-oriented software engineering using a combination of the current bleeding edge technologies through to more tried and trusted software solutions. Key to our success is the adoption of rapid prototyping processes and solutions that ultimately lead to highly robust systems that meet the needs of the customers we serve. Indeed we pride ourselves on being able to develop systems faster and more robustly than other folks. It is what we do – day-in and day-out! We are also highly agile in our approach. Research rarely follows a predictable software development trajectory and we have years of experience in supporting evolving research needs and requirements.
WE DELIVER AND SUPPORT RESEARCH-ORIENTED IT SYSTEMS
to a wide range of research communities at the University of Melbourne
We provide research-oriented software engineering using a combination of the current bleeding edge technologies through to more tried and trusted software solutions. Key to our success is the adoption of rapid prototyping processes that ultimately lead to highly robust systems that meet the evolving needs of the customers we serve. We have observed first hand (time and time again!), how researchers struggle with the myriad of “potential” software systems that solve their research needs. However research evolves; researchers and communities change their minds, new opportunities and obstacles arise, and all of these things can jeopardise the successful delivery of software systems and future sustainability of those platforms. We have lived in this kind of ecosystem for over 15 years and have never failed to deliver working IT systems through our open source and fast delivery pipelines. We rarely ever start with the solution, but iteratively and rapidly create this for our customers. Many of our systems have gone truly global with thousands of users and now used as the platform for millions of dollars of research funding.
The success story of eResearch Group. In facts & numbers.
Y. Liu, R.O. Sinnott, Automated Assessment of Excessive Inbreeding of Dogs based on Deep Learning, IEEE Conference on Computer Science…
S. Gong, R.O. Sinnott, J. Qi, and C. Paris, Fake News Detection Through Temporally Evolving User Interactions, Pacific-Asia Conference on…
Z. Yang, Q. Ke, J. Bailey, R.O. Sinnott, A Survey of Automated Data Augmentation Approaches for Deep Learning, Journal of…