USRC Students and Postdocs

Nathaniel Graham,

Graduate Student, Computer Science, UNM


ngraham@lanl.gov
Nathaniel Graham earned his bachelors degree in Computer Science from Eastern Washington University, and is currently pursuing a master’s of Computer Science degree from Georgia Tech.

At the USRC, Nathaniel works on networking software. He provides bug fixes, documentation, and enhancements for Open MPI, as well as some work with UCX. He is also the primary maintainer of the Open MPI Java bindings.


Alexandra DeLucia,

Undergraduate Student, Rollins College


aadelucia@gmail.com
Alexandra is working on a bachelors degree in Computer Science and Mathematics at Rollins College. At the USRC she is working on creating a model of system logs from high performance computers. The model will later be used in anomaly detection.

Rusty H Davis,

Graduate Student, Clemson University


zopppo@gmail.com
Rusty graduated with his B.S. in computer science​ from the School of Computing at Clemson University in May 2016. He will begin pursuing his masters of Computer Science at Clemson University in Fall 2016. Rusty has been working with the USRC since the summer of 2014. His initial work was with Dr. Nathan DeBardeleben and Dr. William Jones concerning Algorithmic-Based Fault Tolerant Matrix Multiplication. His current work is focused on ​quantifying the resiliency of​ Algorithmic-Based Fault Tolerant Fast Fourier Transforms and creating an interface for the F-SEFI fault injector. His research interests include High Performance Computing, Operating Systems, and Resilience/Fault tolerance.

Chao Chen,

PhD Student, Texas Tech University


chao.chen@ttu.edu
I received my B.E. and Master degrees in computer science at the Hunan University, China. I am currently a PhD student in the Department of Computer Science of Texas Tech University since 2011. My research interesting in data intensive computing, parallel computing, and storage.

My work at USRC is developing and evaluating a new paradigm for Data-intensive applications to reduce the impact of I/O limitations.


Zhenjie Chen,

PhD Student, Computer Science, University of New Mexico


Visit Homepage
zhenjie@cs.unm.edu
505 615-9186 (o)
Zhenjie is a graduate student at The University of New Mexico and joined Scalable Systems Lab at CS@UNM from 2012. He mainly focus on scalable system and fault tolerance. He likes hiking, snowboarding, skating and coding, and ...

At USRC, Zhenjie is working on integrating Scalable Information Propagation service into LIBI(Lightweight Infrastructure-Bootstrapping Infrastructure), in order to improve the performance of bootstrapping numerous processes especially the wire-up procedure. 


Michael Carlton,

Undergraduate Student, Computer Engineering and Computer Science, University of Kentucky


mcarlton93@gmail.com
Michael Carlton is an undergraduate with a dual major in Computer Engineering and Computer Science at the University of Kentucky. This summer at LANL he worked with his mentors, Nathan DeBardeleben and Sean Blanchard, to develop a new method for handling memory hardware errors. This project was a success and will hopefully be utilized in the near future on production machines. Michael recently returned to college to begin his senior year and will be working as both a Teaching Assistant and Resident Advisor during the academic year.

Daniel Campello,

PhD Student Computing & Info Sciences, Florida International University


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dcampello@gmail.com
Daniel is a Venezuelan student in the School of Computing and Information Sciences of Florida International University. He has been there since August 2010 to pursue his PhD degree and has been working on research projects in Operating Systems, specifically in Storage Systems. He also works as a Research Assistant in the Computing Department. His undergraduate degree is in Computer Engineering, and he obtained it in the Universidad Simon Bolivar located in Caracas - Venezuela, where he also worked as a System Administrator of the entire CS network. Daniel is currently working on the project "SoftPM: Software Persistent Memory", inspired by converting memory structures in persistent structures living in different types of storage media, all of this in a manner transparent to the developer. 


Daniel's work at USRC was to extend the SoftPM work for parallel computing and to examine the research challenges therein.



Michael Albrecht,

PhD Student, University of Notre Dame


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malbrec2@nd.edu
Michael Albrecht is a Ph.D. student at the University of Notre Dame and part of the ND Cooperative Computing Lab. His primary research area is in distributed systems, with a focus on distributed storage, data-aware computing, and active storage.

Michael developed and tested the feasibility of a hierarchical data and workflow manager for exascale supercomputing to deal with both data-intensive computing as well as simulation checkpointing and restart.


Hakan Akkan,

PhD Student Computer Science, New Mexico Tech


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hakkan@nmt.edu
I received my B.E. in Metallurgical and Materials Engineering from Middle East Technical University, Turkey. I then received a M.S. in Computer Science from New Mexico Tech where I am currently pursuing a doctoral degree in the same program. My earlier research was focused on web technologies and cloud computing specialized in access control in those environments.

At the USRC, I am investigating OS and system software scalability for exascale computing.



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