Congratulations Matthias, Tobias, Cagatay, Tim and Kim for Best paper award at IEEE BDVA 2016 for the paper:
M. Klapperstück, T. Czauderna, C. Goncu, J. Glowacki, T. Dwyer, F. Schreiber and K. Marriott: ‘ContextuWall: peer collaboration using (large) displays’ (Proc. IEEE Big Data Visual Analytics – BDVA), 2016 (to appear).
Congratulations Yalong, Tim and Kim for getting an Honorable Mention for Best Paper Award at IEEE InfoVis 2016 for the paper:
Y. Yang, T. Dwyer, S. Goodwin and K. Marriott, “Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation,” IEEE Trans. Visual. Comput. Graphics, To appear 2016.
Congratulations to MArVL PhD student Anuradha Madugalla who was awarded Google’s Anita Borg Memorial Scholarship for recognition of her research into accessible floor plans.
Read more in this news article.
Congratulations to the following MArVL members who were successful in this academic promotion round:
- Tim Dwyer promoted to Associate Professor
- Yuan-Fang Li promoted to Senior Lecturer
- Michael Wybrow promoted to Senior Lecturer
Our paper “HOLA: Human-like Orthogonal Network Layout” was selected as the Best Paper for IEEE InfoVis 2015.
Authors: Steve Kieffer, Tim Dwyer, Kim Marriott, and Michael Wybrow
Falk Schreiber and Kim Marriott have been awarded a Monash in-house IDR (Interdisciplinary Research) grant:
Prof Jian Li (Pharmacy and Pharmaceutical Sciences), Dr Jiangning Song (Medicine, Nursing & Health Sciences), Prof Falk Schreiber, Prof Trevor Lithgow (Medicine, Nursing & Health Sciences), Prof Kim Marriott: “Virtual cell of Pseudomonas aeruginosa: Paradigm shifting in antibiotic discovery” $250,000 for three years
Tim Dwyer and Alex Fornito (Monash Medical Imaging) have been awarded a Faculty of Medicine Strategic Grant of $49,945 for 2015 for their project “A platform for sharing and visualising the human connectome”.
The latest episode of the ABC Catalyst TV show features some graph visualisations Tim Dwyer made for our partner in Monash Biomedical Imaging, Alex Fornito. Here’s the episode:
Alex’s segment starts at 20:47
The little graph visualisations start at 23:25.
Here are the photos from the 2013 end-of-year MArVL and Optimisation Group BBQ!
MArVL and Optimisation Group photo at the 2013 End-of-year BBQ.
Continue reading →
Congratulations to MArVL members who were awarded over AUD $1,177,000 in ARC Discovery project funding in the 2014 round. Successful projects are listed below:
DP140100077 — Marriott, Prof Kimbal G; Dwyer, Dr Timothy G; Wybrow, Dr Michael; Li, Dr Yuan-Fang; Schreiber, Prof Dr Falk
Data is increasingly organised as networks. Visualisation is a key way to understand networks. This project plans to develop a new paradigm for this task. Using modern generic constrained optimisation techniques it will produce layouts for small graphs whose quality is similar to that produced by hand, something that is not possible with current approaches. These algorithms will then be used to visualise large graphs. Instead of simply trying to visualise every node and link in the graph. The project will develop techniques to extract useful subsets or abstractions that are as small possible, yet sufficient to answer targeted queries. The techniques for producing small high-quality diagrams will then be applicable to presenting these focused visualisations.
DP140100058 — Garcia de la Banda, Prof Maria J; Wallace, Prof Mark G; Tack, Dr Guido; Dwyer, Dr Timothy G
Finding optimum solutions to problems is one of the most common challenges in planning. It pervades all aspects of our social, environmental and economic life. However, designing programs that can solve optimisation problems effectively requires an iterative process that is often extremely challenging, time consuming and costly. For large-scale problems, this process can become impractical. This project will investigate methods to profile and understand program performance. The results will help users to design scalable, efficient optimisation programs. This will in turn allow organisations large and small to reap the benefits of optimisation technology and, thus, make more efficient use of their resources.