Randal C. Burns, Ph.D.
Affiliations: | 2000 | University of California, Santa Cruz, Santa Cruz, CA, United States |
Area:
Computer ScienceGoogle:
"Randal Burns"Parents
Sign in to add mentor| Darrell D. E. Long | grad student | 2000 | UC Santa Cruz | |
| (Data management in a distributed file system for storage area networks.) | ||||
Children
Sign in to add trainee| Zachary Petersen | grad student | 2006 | Johns Hopkins |
| Changxun Wu | grad student | 2006 | Johns Hopkins |
| Tanu Malik | grad student | 2007 | Johns Hopkins |
| Alexandros Batsakis | grad student | 2009 | Johns Hopkins |
| Paul Stanton | grad student | 2011 | Johns Hopkins |
| Xiaodan Wang | grad student | 2011 | Johns Hopkins |
| Eric Perlman | grad student | 2012 | Johns Hopkins |
| Osama Khan | grad student | 2013 | Johns Hopkins |
| Kalin Kanov | grad student | 2015 | Johns Hopkins |
| Da Zheng | grad student | 2016 | Johns Hopkins |
| Stephen Hamilton | grad student | 2017 | Johns Hopkins |
| James Browne | grad student | 2019 | Johns Hopkins |
| Kunal Lillaney | grad student | 2019 | Johns Hopkins |
| Disa Mhembere | grad student | 2019 | Johns Hopkins |
BETA: Related publications
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Publications
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| Vogelstein JT, Bridgeford EW, Tang M, et al. (2021) Supervised dimensionality reduction for big data. Nature Communications. 12: 2872 |
| Charles AS, Falk B, Turner N, et al. (2020) Toward Community-Driven Big Open Brain Science: Open Big Data and Tools for Structure, Function, and Genetics. Annual Review of Neuroscience |
| Vogelstein JT, Perlman E, Falk B, et al. (2018) A community-developed open-source computational ecosystem for big neuro data. Nature Methods |
| Pulido J, Livescu D, Kanov K, et al. (2018) Remote visual analysis of large turbulence databases at multiple scales Journal of Parallel and Distributed Computing. 120: 115-126 |
| Hildebrand DGC, Cicconet M, Torres RM, et al. (2017) Whole-brain serial-section electron microscopy in larval zebrafish. Nature |
| Kiar G, Gorgolewski KJ, Kleissas D, et al. (2017) Science In the Cloud (SIC): A use case in MRI Connectomics. Gigascience |
| Zheng D, Mhembere D, Lyzinski V, et al. (2017) Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs Ieee Transactions On Parallel and Distributed Systems. 28: 1470-1483 |
| Vogelstein JT, Mensh B, Häusser M, et al. (2016) To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery Neuron. 92: 622-627 |
| Gray Roncal WR, Kleissas DM, Vogelstein JT, et al. (2015) An automated images-to-graphs framework for high resolution connectomics. Frontiers in Neuroinformatics. 9: 20 |
| Kiar G, Roncal WG, Mhembere D, et al. (2015) Community Connectomics via Cloud Computing Utilizing m2g: a Reference Pipeline F1000research. 5 |