Catherine D. Schuman
Katie's general research interests are neuromorphic computing, deep machine learning, and data mining. Her dissertation research was in neuroscience-inspired dynamic architectures. She received the Excellence in Research award from the Department of Electrical Engineering and Computer Science in Spring 2014 and Spring 2015. Her advisor was Research
Dr. Doug Birdwell. Relevant work includes:
Catherine D. Schuman, J. Douglas Birdwell. Variable Structure Dynamic Artificial Neural Networks. Biologically Inspired Cognitive Architectures. Available online 10 June 2013.
Catherine D. Schuman, J. Douglas Birdwell. Dynamic Artificial Neural Networks with Affective Systems. PLOS ONE. Available online 26 November 2013.
Catherine D. Schuman, J. Douglas Birdwell, and Mark E. Dean.
Neuroscience-Inspired Dynamic Architectures.. Biomedical Science and Engineering Conference 2014. Mark E. Dean, Catherine D. Schuman, and J. Douglas Birdwell.
Dynamic Adaptive Neural Network Array.. Unconventional Computation and Natural Computation 2014. Catherine D. Schuman, J. Douglas Birdwell, and Mark E. Dean.
Spatiotemporal Classifiction using Neuroscience-Inspired Dynamic Architectures. Biologically Inspired Cognitive Architectures 2014. Margaret Drouhard, Catherine D. Schuman, J. Douglas Birdwell, and Mark E. Dean.
Visual Analytics for Neuroscience-Inspired Dynamic Architectures. IEEE Symposium Series on Computational Intelligence 2014.
Neuroscience-inspired dynamic architecture (NIDA) network as applied to a handwritten digit application is shown in the following video.
Katie has presented her work as a poster at the Grace Hopper Celebration of Women in Computing in Phoenix, Arizona, in October 2014, as part of the doctoral consortium at the IEEE Symposium Series on Computational Intelligence in Orlando, Florida, in December 2014, and at the Neuro-Inspired Computational Elements workshop in Sandia, New Mexico, in February 2015 (
video). An audio virtual tour of the poster presentation at Grace Hopper 2014 is shown in the following video.
In the fall of 2010, Katie worked in the
Laboratory for Information Technologies.
In the spring of 2011, Katie worked with Dr. Michael Langston, exploring novel applications of fast heuristics for graph coloring.
During the summers of 2008, 2009 and 2010, Katie worked as an undergraduate research assistant with
Dr. Jim Plank, focusing on erasure codes for storage applications. Her senior thesis was "An Exploration of Optimization Algorithms and Heuristics for the Creation of Encoding and Decoding Schedules in Erasure Coding." The thesis appeared in Pursuit - The Journal of Undergraduate Research at the University of Tennessee.
Her other research work includes:
J. S. Plank, Catherine D. Schuman and B. D. Robison, ``
Heuristics for Optimizing Matrix-Based Erasure Codes for Fault-Tolerant Storage Systems,'' DSN 2012: International Conference on Dependable Systems and Networks, Boston, MA, June, 2012. James S. Plank, Jianqiang Luo, Catherine D. Schuman, Lihao Xu and Zooko Wilcox-O'Hearn, "
A Performance Evaluation and Examination of Open-Source Erasure Coding Libraries For Storage," FAST-2009: 7th Usenix Conference on File and Storage Technologies, San Francisco, CA, February, 2009. J. S. Plank, S. Simmerman and Catherine D. Schuman, "
Jerasure: A Library in C/C++ Facilitating Erasure Coding for Storage Applications,'' Technical Report CS-08-627, University of Tennessee Department of Electrical Engineering and Computer Science, August, 2008. Catherine D. Schuman and J. S. Plank,
A Performance Comparison of Open-Source Erasure Coding Libraries for Storage Applications,'' Technical Report CS-08-625, University of Tennessee Department of Electrical Engineering and Computer Science, August, 2008.
Doctor of Philosophy in Computer Science from
University of Tennessee
Graduation: May 2015
National Science Foundation Graduate Research Fellow
Excellence in Research Award from Department of EECS
Outstanding Graduate Teaching Assistant Award from Department of EECS
Bachelor of Science in Computer Science and Mathematics from
University of Tennessee
Graduation: May 2010
Summa Cum Laude
Outstanding Graduate in Computer Science
Top Graduate in the Natural Sciences
Chancellor's Honors Program
Math Honors Program
Katie has served as a teaching assistant for the following classes at the University of Tennessee:
Katie received awards for Outstanding Graduate Teaching Assistant in the Department of EECS in December 2011 and April 2015.
Past Work Experience
University of Tennessee Math Tutorial Center
August 2007-May 2008, August 2008-May 2009
Math tutor for Calculus I, II, and III, linear algebra, differential equations
May-August 2005, May-August 2006
Katie is a member of the Women in Computing group at Oak Ridge National Lab. She is a founding member of the Systers: Women in EECS @ UTK organization and served as its vice president from May 2013 until May 2014. She was also co-chair of the Systers mentorship committee.
Katie is a member of the
Association for Computing Machinery (ACM). She previously served as secretary of the UT chapter of ACM. She is also a member of IEEE and the Society for Neuroscience.
Katie was previously a member of STARS. She served as an undergraduate mentor in the STARS program, hoping to promote interest in the field of computing, especially among women and minorities.
Katie is from Harriman, Tennessee. She enjoys spending time with her family (especially her nieces and nephews), reading and pop culture in all forms.