Contact Information

Address
2110 Engr Bldg II
Campus Box 7911
NC State University
Raleigh, NC 27695-7911
Locate on Campus Map
Phone
919-513-1923
Web
Homepage

Dr. Cranos M. Williams

| Biography

Research Interests: I am currently the director of the EnBiSys Research Laboratory. The EnBiSys Lab is a highly collaborative, multidisciplinary research laboratory, focused on the development of targeted computational and analytical solutions for modeling and controlling biological systems. The solutions we develop are used to build and strengthen the transition from large-scale high-throughput –omics data to highly connected kinetic models in the post-genomic era; models that can be used to attain the depth, understanding, and comprehension needed to manipulate and control biological systems for a defined purpose.



Specific interests in this field include:

- Nonlinear Systems Analysis

- System Identification

- Uncertainty Analysis

- Optimal Experimental Design

- Biological Signal and Data Processing

Patents: S. Chen, L. Ray, N. Cahill, M. Goodgame, and C. Williams, “Method of Image Registration using Mutual Information,” U.S. Patent 7,263,243, Aug. 28, 2007.

| Education

  1. 2008 - PhD in Electrical Engineering, NC State University, Raleigh, NC
  2. 2002 - MS in Electrical Engineering, NC State University, Raleigh, NC
  3. 2001 - BS in Electrical Engineering, NC A&T State University, Greensboro, NC

| Primary Research Interests

  1. Bioelectronics Engineering (Including Biomimetic Systems*)
*Denotes areas in which student research is supported by Dr. Williams

| Other Research Interests

  1. Communications and Signal Processing (Including Digital Signal Processing*)
*Denotes areas in which student research is supported by Dr. Williams

| Selected Publications

  1. H. Chen, J. Song, J. Wang, Y. Lin, J. Ducoste, C. Shuford, J. Liu, Q. Li, R. Shi, A. Nepomuceno, F. Isik, D. Muddiman, C. Williams, R. Sederoff, and V. Chiang, “Systems Biology of Lignin Biosynthesis in Populus trichocarpa: Heteromeric 4-Coumaric Acid:Coenzyme A Ligase Protein Complex Formation, Regulation, and Numerical Modeling,” available online before print, Plant Cell, 2014. (HC and JS, co-first authors)
  2. J. Wang, P. Naik, H. Chen, R. Shi, C. Lin, J. Jiu, C. Shuford, J. Ducoste, Q. Li, C. Williams, D. Muddiman, R. Sederoff, and V. Chiang, “Complete Proteomic-Based Enzyme Reaction and Inhibition Kinetics Reveal How Monolignol Biosynthetic Enzyme Families Affect Metabolic Flux and Lignin in Populus trichocarpa, ” available online before print, Plant Cell, 2014.
  3. M. A. de Luis Balaguer and C. Williams, “Hierarchical modularization of biochemical pathways using Fuzzy-C Means clustering,” IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2013, accessible online.
  4. H. Chen, J. Song, C. Williams, C. Shuford, J. Liu, J. Wang, Q. Li, R. Shi, E. Gokce, J. Ducoste, D. Muddiman, R. Sederoff, and V. Chiang, “Monolignol pathway 4-coumaric acid: CoA ligases in Populus trichocarpa: Novel Specificity, Metabolic Regulation, and Simulation of CoA Ligation Fluxes,” Plant Physiology, vol. 161, pp. 1501-1516, 2013.
  5. S. Marvel and C. Williams, “Set Membership Experimental Design for Biological Systems,” BMC Systems Biology, 6:21, 2012.
  6. B. Nabavi and C. Williams, “Novel Cost Function for Estimating Parameters in Oscillatory Biological Systems,” EURASIP Journal on Bioinformatics and Systems Biology 2012, 2012:3.
  7. J. Wang, C. Shuford, Q. Li, J. Song, Y. Lin, Y. Sun, H. Chen, C. Williams, D. Muddiman, R. Sederoff, and V. Chiang. “Functional redundancy of the two 5-hydroxylases in mono- lignol biosynthesis of Populus trichocarpa: LC–MS/MS based protein quantification and metabolic flux analysis”. Planta, pages 1–14, 2012. 10.1007/s00425-012-1663-5.
  8. M. Matthews and C. Williams, “Region of attraction estimation of biological continuous Boolean models,” in Proceeding of IEEE Conference on Systems, Man, and Cybernetics, pp. 1700 - 1705, 2012.
  9. S. Marvel and C. Williams, “Set Membership State and Parameter Estimation for Nonlinear Differential Equations with Sparse Discrete Measurements,” in Proceedings of IEEE Conference on Systems, Man, and Cybernetics, pp. 72-77, 2012.

| Awards and Honors

  • 2013 - ECE William F. Lane Teaching Award
  • 2009-2010 - Faculty Research and Professional Development Award
  • 2003-2008 - National Science Foundation Graduate Research Fellowship