Randal Burns

Storage and Database Systems for Science and Engineering

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Randal Burns

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

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.


INCF Keynote

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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


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The Open Connectome Project has a new home (aka base URL).  We have not physically moved to Montenegore (suffix: .me) although that seems like a good idea.

We are happy to be hosting 15TB (raw images) of EM image data representing 1154 slices of a mouse brain at a resolution of 3nm x 3 xnm x 40 nm.  Explore the data at openconnectomeproject.org. Soon we will provide a Web service to help researchers develop algorithms that automatically annotate neural structure and visualize those annotations.  A presentation on this service is also available at http://prezi.com/yj6psr8b9-35/the-open-connectome-project/.  This data set was featured on the cover of Nature on March 10, 2011.



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The NIBIB at the NIH awarded our Open Connectome Team (R. Burns, Greg Hager, Misha Kazhdan, Joshua Vogelstein, R. Jacob Vogelstein at JHU and Jeff LIchtman at Harvard) a Collaborative Research in Computational Neuroscience (CRCNS) grant entitled " CRCNS Data Sharing: The EM Open Connectome Project."  The goal of project is to deliver an end-to-end high-throughput analysis engine for electron microscopy neuroimaging that we will use to process and host public data sets.  Notably, this make me a new principal investigator with the NIH. I'm barely reducing the average age of first time R01 PIs.  The average is an astonishing 42 years old.


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Randal Burns was nominated to serve as a member of the Defense Science Study Group's Class of 2012-2013.  This should be fun.  http://dssg.ida.org/
Last Updated on Monday, 30 January 2012 20:45