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Professor, Virginia Bioinformatics Institute Deputy Director, Network Dynamics and Simulation Science Laboratory Adjunct Professor, Department of Physics
Phone: (540) 231-2504
Email:seubank@vbi.vt.edu
Fax: 540-231-2891
Personal_Page
| Network Dynamics and Simulation Science Laboratory
| NDSSL Research Group
Publications:
Barrett C, Channakeshava K, Eubank S, Kumar VSA, Marathe M. From biological and social network metaphors to coupled bio-social wireless networks. International Journal of Autonomous Adaptive Communications. 2011;4:122–144.
Lee B, McGlone S, Wong K, et al. Modeling the spread of methicillin-resistant staphylococcus aureus (MRSA) outbreaks throughout the hospitals in Orange County, California. Infection Control and Hospital Epidemiology. 2011;32:562–572.
Lee B, Song Y, McGlone S, et al. Social network analysis of paitent sharing among hospitals in Orange County, California. American Journal of Public Health. 2011;101:707–713.
Lewis B, Kleinman K, Abrams A, Eubank S. in silico surveillance: evaluating outbreak detection with agent-based simulations.. 2011.
Marathe A, Lewis B, Chen J, Eubank S. Sensitivity of Household Transmission to Household Contact Structure and Size. PLOS One. 2011. www.plosone.org
wendelsdorf K, Bassaganya-Riera J, Bisset K, eubank S, hontecillas-Magarzo R, marathe M. ENteric Immunity SImulator: A tool for in silico study of gut immunopathologies. San Francisco, CA; 2011. Aai.
Eubank S, Kumar VSA, Khan M, Marathe M, Barrett C. Beyond Degree Distributions: Local to Global Structure of Social Contact Graphs. In: Advances in Social Computing, Third International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP). Vol. 6007. Springer Berlin / Heidelberg; 2010:1. http://www.springerlink.com/content/98592811k4k95680/
Huang S, Avery T, Song Y, et al. Quantifying inter-hospital patient sharing as a mechanism for infectious disease spread. Infection Control and Hospital Epidemiology. 2010;31:1160–1169.
Kuhlman C, Lewis B, Beckman R, Eubank S, Dutta T. Clustering method incorporating network topology and dynamics. Orlando, Florida, April 12-14, 2010; 2010. Proceedings of Society for Modeling & Simulation International.
Barrett C, DuBois T, Eubank S, Kumar AVS, Marathe M, Srinivasan A. Sequestering critical workers in event of epidemics. Austin, TX; 2009. ACM-SIAM Symposium on Discrete Algorithms (SODA10).
Barrett C, Eubank S, Marathe M. Policy informatics for co-evolving socio-technical networks. Linkoping, Sweden; 2009. Proceedings of 4th International Conference on Critical Infrastructures.
Barrett C, Lewis B, Chen J, et al. Interactions among human behavior, social networks, and societal infrastructures: A case study in computational epidemiology. In: Ravi S, Shukla S, eds. Fundamental Problems in Computing: Essays in Honor of Professor Daniel J. Rosenkrantz. Vol. Xxii. Springer Verlag; 2009:479–507. http://www.springer.com/computer/swe/book/978-1-4020-9687-7
Feighner BH, Eubank S, Glass RJ, Davey VJ, Chretien J-P, JC G. Infectious disease modeling and military readiness [conference summary}. Emerging Infectious Diseases. 2009;15.
Adasi K, Barrett CL, Eubank S, et al. A Review of malaria modeling.. 2008.
Barrett C, Bisset K, Eubank S, Feng X, Marathe M. EpiSimdemics: an efficient and scalable framework for simulating the spread of infectious disease on large social networks. Austin, Texas, November 15-21.; 2008. Proceedings of SuperComputing 08 International Conference for High Performance Computing, Networking. http://portal.acm.org/citation.cfm?id=1413370.1413408
Barrett C, Eubank S, Marathe M. An interaction-based approach to computational epidemiology. Chicago, IL: AAAI Press; 2008:1590–1593. Proceedings of 23rd Association for the Advancement of Artificial Intelligence 3. http://www.aaai.org/Papers/AAAI/2008/AAAI08-269.pdf
Barrett CL, Beckman R, Bisset K, et al. Investigating the role of public policies and individual behavior on epidemics: a multi-agent systems approach. Chicago, Illinois; 2008. Proceedings of Association for the Advancement of Artificial Intelligence.
Halloran ME, Ferguson NM, Eubank S, et al. Modeling targeted layered containment of an influenza pandemic in the United States. Proceedings of the National Academy of Sciences (PNAS). 2008;105:4639–4644. http://www.pnas.org/content/105/12/4639.abstract
Yang Y, Koopman JS, Samore MH, Eubank S, Lewis B. Model analysis of potential causes for pertussis secular trends. Asilomar, California; 2008. Epidemics Journal and Conference on Infectious Diseases Dynamics.
Barrett C, Bisset K, Chen J, et al. Effect of public policies and individual behavior on the co-evolution of social networks and infectious disease dynamics. Rutgers University; 2007. Paper Presented at DIMACS Workshop on Computational Methods for Dynamic Interaction Networks.
Barrett C, Bisset K, Eubank S, et al. A scalable data management tool to support epidemiological modeling of large urban regions. In: Research and Advanced Technology for Digital Libraries. Vol. 4675. Springer Berlin/Heidelberg; 2007:546–548. http://www.springerlink.com/content/g38x1801770177g7/
Barrett C, Bisset K, Eubank S, Kumar VSA, Marathe M, Mortveit H. Modeling and simulation of large biological, information and socio-technical systems: An interaction-based approach. In: Proceedings of the Short Course on Modeling and Simulation of Biological Networks, AMS Lecture Notes, Series: PSAPM. Vol. 64.; 2007:101–147.
Barrett C, Eubank S, Lewis B, Marathe M. Information systems for detection and management of pandemics. In: Shekar S, Xiong H, eds. Encyclopedia of Geographic Information Systems. Springer Verlag; 2007.
Roberts D, Simoni DA, Marathe M, et al. Teragrid enabled national scale epidemiological models for MIDAS.; 2007. Proceedings of Tera.
Barrett C, Eubank S, Marathe M. Modeling and simulation of large biological, information and socio-technical systems: An interaction based approach. In: D G, Smoka SA, Wegner P, eds. Interactive Computing: A new Paradigm. Springer Berlin Heidelberg; 2006:353–394.
Barrett C, Eubank S, Marathe M, Mortveit H. An interaction-based computing approach to modeling and simulation of large biological and socio-technical systems. In: AMS Lecture Notes.; 2006.
Barrett CL, Eubank S, Marathe MV. An Interaction Based Approach to Modeling and Simulation of Large Biological, Information and Socio-Technical Systems. In: Interactive Computation: The New Paradigm. Springer; 2006:353–392.
Eubank S. Cyberinfrastructure for epidemiological simulations.; 2006. Invited Presentation to NCSA Infectious Disease Informatics at the University of Illinois at Urbana-.
Eubank S. Validating model assumptions. Washington, DC; 2006. Institute of Medicine Workshop on the Role of Community-Based Mitigation Strategies.
Barrett C, Eubank S, Marathe M. Modeling and Simulation of Large Biological, Information and Socio-Technical Systems: An Interaction Based Approach. In: Goldin D, Smoka SA, Wegner P, eds. Interactive Computing: A new Paradigm. Springer Berlin Heidelberg; 2005:353–394.
http://isbn.nu/978-3-540-34666-1
Eubank S. Network based models of infectious disease spread. Japanese Journal of Infectious Diseases. 2005;58:S9–S13.
Toroczkai Z, Eubank S. Agent-based modeling as a decision-making tool. The Bridge. 2005;35:22–27.
Barrett C, Eubank S, Kumar VSA, Marathe M. Understanding Large-Scale Social and Infrastructure Networks: A Simulation-Based Approach. SIAM News. 2004;37:1–5. Appears as part of Math Awareness Month on th.
Eubank S. Mathematics of Epidemiological Simulations for Response Planning. In: Mathematical Science's Role In Homeland Security: Proceedings Of A Workshop. Washington, DC.: National Academies Press; 2004:166–187. http://www.nap.edu/catalog.php?record_id=10940
Eubank S, Kumar VSA, Marathe M, Srinivasan A, Wang N. Structural and algorithmic aspects of massive social networks. New Orleans, Louisiana: Society for Industrial and Applied Mathematics; 2004:718–727. Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms. http://portal.acm.org/citation.cfm?id=982792.982902
Eubank S, Kumar VSA, Marathe MV, Srinivasan A, Wang N. Structural and algorithmic aspects of massive social networks. In: Proceedings of the 15th ACM-SIAM Symposium on Discrete Algorithms (SODA). Society for Industrial and Applied Mathematics Philadelphia, PA, USA; 2004:718–727.
Barrett C, Eubank S, Marathe M, Mortveit H, Reidys C. Science and engineering of large scale socio-technical simulations. In: Wie CR eds, ed. San Antonio, Texas; 2002. Proceedings of 1st International Conference on Grand Challenges in Simulations held as a part of Wes. http://www.thesimguy.com/GC/papers/WMC02/G083_MARATHE.pdf
Eubank S. Transportation Networks: Dynamics and Simulation. Posttsdam; 2001:139–145. Proceedings of the 6th Experimental Chaos Conference.
Barrett C, Eubank S, Marathe M, Mortveit H, Reidys C. Science and engineering of large scale socio-technical simulations. In: Vakilzadian H, Wie CR, Wie CR eds, eds. San Diego, California; 2000. Proceedings of 2000 ICSEE Western MultiConference on Computer Simulation (ICSEE/WMC'2000). http://ndssl.vbi.vt.edu/Publications/ScienceAndEngineering_Barrett.pdf
Eubank SG. What makes a simulation useful? [TRANSIMS]. Tokyo; 1999:640–644 vol.4. Proceedings of the IEEE Systems Man and Cybernetics Conference 4.
Black E, Eubank S, Kashioka H, Saia J. Reinventing Part-of-Speech Tagging.. 1998;5.
Black E, Eubank S, Kashioka H. The Non-Dictionary: Description and Evaluation of a Dictionaryless Semantic and Syntactic Tagger for Unrestricted English Text.; 1997:16–30. Proc. of the Natural Language Processing Association, Kyoto.
Black E, Eubank S, Kashioka H. Probabilistic Parsing of Unrestricted English Text, With A Highly-Detailed Grammar. In: J. Zhou and K. Church eds, ed. Proceedings of the Fifth Workshop on Very Large Corpora,Beijing and Hong Kong.; 1997:16–30.
Black E, Eubank S, Kashioka H, Magerman D, Garside R, Leech G. Beyond skeleton parsing: producing a comprehensive large-scale general-English treebank with full grammatical analysis. Copenhagen, Denmark: Association for Computational Linguistics Morristown, NJ, USA; 1996:107–112. Proceedings of the 16th conference on Computational linguistics – Volume 1.
Black E, Eubank S, Kashioka H, Magerman D, Ushioda A. The Non-Dictionary: Towards More Detailed And Robust Part-Of-Speech Tagging.; 1996. Proceedings of the Workshop on Very Large Corpora.
Eubank S, Kashioka H. Merging statistical and rule-based methods using decision trees. France; 1996:182–189. Proceedings of MIDDIM-96, ed. CH. Boitet, LeCol De Porte.
Eubank S, Kashioka H, Black E. A New Approach to Treebank Creation. Tokyo; 1996:265–268. Proc. of the Natural Language Processing Association.
Eubank S, Theiler J. Don't Bleach Chaotic Data. Chaos. 1993;3:771–782.
Casdagli M, Eubank S, Farmer JD, et al. Nonlinear modeling of chaotic time series: Theory and applications. In: Kim JH, Stringer J, eds. Applied Chaos. New York: John Wiley & Sons, Inc.; 1992:335–380.
http://isbn.nu/0471544531
Gibson JF, Farmer JD, Casdagli M, Eubank S. An analytic approach to practical state space reconstruction. Physica D.. 1992;57:1–30.
Casdagli M, Eubank S, Farmer JD, Gibson J. State space reconstruction in the presence of noise. Physic D. 1991;51:52–98.
Eubank S, Casdagli M, Farmer JD, Gibson J. State space forecasting and noise reduction.; 1990:641–642 vol.2.
Eubank S, Farmer JD. Introduction to Chaos and Randomness. In: Jen E, Wesley A, eds. chapter 4 in 1989 Lectures in Complex Systems, Santa Fe Institute Studies in the Sciences of Complexity, Lectures. Vol. 12. Also Appeared in Nonlinear Science ed. L. Lam, Springer-Verlag (1996); 1990:75–190.
Eubank S, Miner W, Tajima T, Wiley J. Interactive Computer Simulation and Analysis of Newtonian Dynamics. Ajp. 1989;57:457–463.
Eubank S, Chiu C. Migdal-Kadanoff Determination of the Gell-Mann-Low Function for Mixed Action SU(2) Lattice Gauge Theories. Nuc. Phys.. 1987;B285:363–389.
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