Minh Dinh

Biography
Dr. Minh Ngoc Dinh received his PhD in Computer Science from Monash University, Australia in 2013. Dr. Dinh is a Post-doctoral Research Fellow at the Research Computing Centre (UQ-RCC), The University of Queensland. Furthermore, he is a member of the eResearch Analyst team, under direct supervision of Professor David Abramson, which specialises in development of software tools and techniques for programming e-Science applications. Dr. Dinh also holds a teaching position at the School of Information Technology and Electrical Engineering (ITEE), The University of Queensland.
RESEARCH INTERESTS AND EXPERTISE Dr. Dinh’s main research interests and expertise are in HPC programming environment, in particular scalable techniques for parallel debugging and verification. Dr. Dinh has made signification contributions to the field of parallel debugging for large-scale scientific codes. In particular, he promotes the data-centric debugging methodology which inspects runtime data for discrepancy. He also introduces an innovative assertion construct called statistical assertion template where statistical tests and procedures are applied to runtime data for verification of scientific laws. Dr. Dinh’s track record shows an intensive focus on scalable debugging and verification methods to support high-profile scientific simulations that run on large parallel systems. He has published as the lead author in a number of A/A* international journals and conferences such as IEEE Transactions on Parallel and Distributed Systems, Journal of Software: Practice and Experience, International Conference on Computational Science, and IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, amongst others. Dr. Dinh also works with workflow systems, and can provide training and advice on using the Nimrod set of workflow tools, including Nimrod/K and Kepler. Dr. Dinh has been involved in research projects including high throughput Grid-based environment for real-time bio-medical imaging.
RESEARCH INTERESTS AND EXPERTISE Dr. Dinh’s main research interests and expertise are in HPC programming environment, in particular scalable techniques for parallel debugging and verification. Dr. Dinh has made signification contributions to the field of parallel debugging for large-scale scientific codes. In particular, he promotes the data-centric debugging methodology which inspects runtime data for discrepancy. He also introduces an innovative assertion construct called statistical assertion template where statistical tests and procedures are applied to runtime data for verification of scientific laws. Dr. Dinh’s track record shows an intensive focus on scalable debugging and verification methods to support high-profile scientific simulations that run on large parallel systems. He has published as the lead author in a number of A/A* international journals and conferences such as IEEE Transactions on Parallel and Distributed Systems, Journal of Software: Practice and Experience, International Conference on Computational Science, and IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, amongst others. Dr. Dinh also works with workflow systems, and can provide training and advice on using the Nimrod set of workflow tools, including Nimrod/K and Kepler. Dr. Dinh has been involved in research projects including high throughput Grid-based environment for real-time bio-medical imaging.
Presentations
Workshop

Applications
Government Strategies, Programs, and Funding
HPC Center Planning and Operations