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Office: Martin O-303
Phone: (864) 656-1524
Email: edimit@clemson.edu
Fax: (864) 656-5230

Elena Dimitrova

Position:
Associate Professor
Education:
PhD in Mathematics from Virginia Polytechnic Institute and State University, 2006
MS in Mathematics from Virginia Polytechnic Institute and State University, 2003
BA in Computer Science from American University in Bulgaria, 2001
Professional Research Interests
Systems biology
Computational algebra
Reverse-engineering methods
Polynomial maps over finite fields
Discrete models of biochemical networks
Gröbner fans of zero-dimensional ideals
Chaos theory application to biology
Professional Honors and Awards
  • Selection methods for algebraic design of experiments, NSF, 2018-2020.
  • Conference grant, ACSB 2015: A Conference on Algebraic and Combinatorial Approaches in Systems Biology, NSF, 2015.
  • Data selection for unique model identification, NSF, 2014-2017. 
  • AWM-NSF Travel Grant, 2013.
  • 2011 Mathematical Sciences Faculty Teaching Award.
  • Developing discrete network models to discover transcriptional regulation of peach fruit color, University Research Grant Committee (URGC), 2011.
  • Acquisition of Large-Memory, Many-Core Compute Node for Mathematical Science Research,” NSF, 2010-2011. 
Selected Publications
  • Dimitrova, E.S. (2017). Discrete-Time Dynamical Systems. In “Handbook of Discrete and Combinatorial Mathematics,” 2nd Ed, Ed. Douglas Shier. CRC Press.
  • Dimitrova, E.S. and Laubenbacher, R. (2017). Boolean models in immunology. In “System Immunology: An Introduction to Modeling Methods for Scientists,” Eds. Das, J. and Jayaprakash, C. Taylor & Francis Group.
  • Dimitrova, E.S. (2015). Molecular network control through Boolean canalization. EURASIP Journal on Bioinformatics and Systems Biology, 2015:9.
  • Dimitrova, E.S., Yordanov, O.I., Matache, M.T. (2015). A difference equation for tracking perturbations in systems of Boolean nested canalyzing functions. Physical Review Letters E, 91(6), 062812.
  • Le Pape, S., Dimitrova, E.S., Hannaert, P., Konovalov, A.,Volmer, R., Ron, D., Thuillier, R., Hauet, H. (2014). Polynomial algebra as a tool to identify potential therapeutic targets: an application to ischemia-reperfusion injury. FEBS Letters, 588(17), pp. 3062-7.
  • Stigler, B. and Dimitrova, E.S. (2014). Data Identification and Characterization for Improving Gene Network Inference. Accepted in Bulletin of Mathematical Biology.
  • Dimitrova, E.S. and Stigler, B. (2013). Inferring the Topology of Gene Regulatory Networks: An Algebraic Approach to Reverse Engineering. In “Mathematical Concepts and Methods in Modern Biology,” Eds. Hodge, T. and Robeva, R. Elsevier.
  • Layne, L., Dimitrova, E.S., Macauley, M. (2012). Nested canalyzing depth and network stability. Bulletin of Mathematical Biology, 74(2), pp. 422-433.
  • Dimitrova, E.S., Mitra, I., Jarrah, A.S. (2011). Probabilistic polynomial dynamical systems for reverse engineering of gene regulatory networks. EURASIP J. on Bioinformatics and Systems Biology, 2011:1, pp. 1-33.
Links
Last Updated: 8/28/17