Randal Chilton Burns is a professor and Chair of the computer science department at Johns Hopkins University. He is a member of the Kavli Neuroscience Discovery Institute, Institute for Data-Intensive Science, Engineering and the Science of Learning Institute and National Academy of Sciences. His research interests lie in building scalable data systems for exploration and analysis of big data.[1][2][3][4][5]

Randal Burns
CitizenshipUnited States
OccupationComputer Scientist
TitleProfessor
Academic background
Alma materUniversity of California, Santa Cruz
Stanford University
ThesisData Management in a Distributed File System for Storage Area Networks (2000)
Doctoral advisorDarrell Long
Websiterandalburns.github.io

Education and early career

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Burns graduated from Stanford University in 1993 with a bachelor's degree in geophysics.[6] He earned his master's and doctorate from University of California, Santa Cruz, in 1997 and 2000 respectively. He also worked as a research staff member at IBM's Alamden Research Center between 1996 and 2002.[1]

Research

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Burns's PhD dissertation is titled 'Data Management in a Distributed File System for Storage Area Networks'.[7] He has worked on waste management of unused digital data.[8][9] He was part of a team along with Alex Szalay and Charles Meneveau which built a 350TB turbulence database that provides access to large computational fluid dynamics simulations.[10][11] In recent times, his research has focused on neuroscience where he built a cloud based web-service for neuroscience data and enabled better understanding of the human brain.[12][13][14][15]

References

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  1. ^ a b "Randal Burns". Department of Computer Science. Retrieved 2019-06-14.
  2. ^ "Kavli NDI". kavlijhu.org. Retrieved 2019-06-14.
  3. ^ "Randal Burns – The Institute for Data Intensive Engineering and Science". Retrieved 2019-06-14.
  4. ^ "Randal Burns". www.nasonline.org. Retrieved 2019-06-14.
  5. ^ "Our Experts | |Science of Learning". scienceoflearning.jhu.edu. Retrieved 2019-06-14.
  6. ^ "Randal Burns". IEEE. Retrieved 2022-11-18.
  7. ^ "Randal Burns - The Mathematics Genealogy Project". www.genealogy.math.ndsu.nodak.edu. Retrieved 2019-06-14.
  8. ^ Schaffhauser, Dian (2011-09-08). "Researchers Throw Out Digital Waste Scheme". Campus Technology. Retrieved 2019-06-14.
  9. ^ "5 tactics for dumping digital trash". Futurity. 2011-09-06. Retrieved 2019-06-14.
  10. ^ Szalay, Alexander; Meneveau, Charles; Burns, Randal; Bürger, Kai; Kanov, Kalin; Aluie, Hussein; Lalescu, Cristian; Vishniac, Ethan; Eyink, Gregory (May 2013). "Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence". Nature. 497 (7450): 466–469. Bibcode:2013Natur.497..466E. doi:10.1038/nature12128. ISSN 1476-4687. PMID 23698445. S2CID 205233857.
  11. ^ Perlman, Eric; Burns, Randal; Li, Yi; Meneveau, Charles (2007). "Data exploration of turbulence simulations using a database cluster". Proceedings of the 2007 ACM/IEEE conference on Supercomputing. pp. 1–11. doi:10.1145/1362622.1362654. ISBN 9781595937643. S2CID 11021323.
  12. ^ "Closer view of the brain". Harvard Gazette. 2015-10-12. Retrieved 2019-06-14.
  13. ^ Perkel, Jeffrey M. (2018-10-30). "Web service makes big data available to neuroscientists". Nature. 563 (7729): 143. Bibcode:2018Natur.563..143P. doi:10.1038/d41586-018-07195-2. PMID 30377329.
  14. ^ "Neuroinformatics 2013: Randal Burns". www.neuroinformatics2013.org. Retrieved 2019-06-14.
  15. ^ "Scientists Discuss BRAIN Initiative". The Scientist Magazine. Retrieved 2019-06-14.