Randal Burns

Storage and Database Systems for Science and Engineering

  • Increase font size
  • Default font size
  • Decrease font size
Randal Burns

This page is now defunct.  The saying goes, "Professor's age, but their Web pages don't."  I'd like to be the exception.  Please refer to http://www.cs.jhu.edu/~randal/ for an up to date, but smaller Web page.

Other sites of import include:


<BELOW here from 2014>


www.cs.jhu.edu/~randal, randal(at)cs.jhu.edu, 410.516.7708, Malone Hall 227

Randal Burns is an Associate Professor in the Department of Computer Science in the Whiting School of Engineering at the Johns Hopkins University.  He directs the Hopkins Storage Systems Lab, serves on the advisory board of the Institute for Data Intensive Engineering and Science, and writes code for the Open Connectome Project.

His research focuses on the management, performance, and security of large data sets, for scientific applications.  His recent results address query processing for data-intensive science applications, redundancy coding and auditing of outsourced storage services, and adaptive performance management for network data protocols.

Randal's current focus is to build scalable systems that support neuroscience imaging analysis and annotation with the goal of reverse engineering the neurophysiology of mamalliam brains.  This work is more fully described at  the Open Connectome Project.

Randal was formerly a Research Staff Member in Storage Systems at IBM’s Almaden Research Center in San Jose.  He earned his Ph.D. in 2000 and M.S. in 1997 from the Department of Computer Science at the University of California at Santa Cruz.  He earned his B.S. degree from the Department of Geophysics at Stanford University.


Cosmos to Connectomes

E-mail Print PDF

JoVo, Szalay and I just published an article in Neuron that describes the evolution of data-intensive science from it roots in observational astronomy to what we're doing today.  If you are going to change your Web page once a decade, why not with this:


Last Updated on Friday, 19 September 2014 01:09

Flux Freezing in Nature

E-mail Print PDF

Greg Eyink lead an article by our JHUTDB (Turbulence Data) team that entitled "Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence" that exploited a database search to show that a 70-year-old belief abouthigh-conductivity plasmas---magnetic flux freezing---fails in the presence of MHD turbulence, explaining why solar flares can erupt in minutes or hours rather than the millions of years predicted by flux freezing.  This paper is the current acme of a great collaboration among physicists, fluids, mechanical engineers, computer scienctists, and mathematicians.  All together now.


Chinese-American Kavli Frontiers of Science Symposium

E-mail Print PDF

I am honored to have been invited to Chair a Big Data Session at the Chinese-American Kavli Frontiers of Science Symposium.  This will be my first event with the National Academy of Sciences.  I've gotten to know Kavli a little through the BRAIN initiative.




INCF Keynote

E-mail Print PDF
I will be giving (my first major) keynote speech at NeuroInformatics 2013 in Stockholm, Sweden in August.  I will be speaking about how to use data-intensive computing architectures to transform our understanding of neurophysiology, describing the hardware and software architecture of the Open Connectome Project.
Last Updated on Sunday, 09 December 2012 15:56