Cranos Williams

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

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

Awards & Honors

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

Publications

• Stem-cell-ubiquitous genes spatiotemporally coordinate division through regulation of stem-cell-specific gene networks (2019)
• Assessing the impact of the 4CL enzyme complex on the robustness of monolignol biosynthesis using metabolic pathway analysis (2018)
• Improving wood properties for wood utilization through multi-omics integration in lignin biosynthesis (2018)
• Design of digital filters (2017)
• Digital signal processing systems design (2017)
• Digital signal processing: principles, algorithms and system design preface (2017)
• Finite word length effects (2017)
• Frequency domain analysis (2017)
• Fundamental DSP concepts (2017)
• Hardware implementation (2017)