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
Highlighted Awards
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
Recent Publications
- Gene Regulatory Network Inference: Connecting Plant Biology and Mathematical Modeling (2020)
- Computational prediction of gene regulatory networks in plant growth and development (2019)
- Directions for research and training in plant omics: Big Questions and Big Data (2019)
- Flux modeling for monolignol biosynthesis (2019)
- 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)
Contact
Research Focus
Recent News
Using Leaf Fungi to Improve Crop Resilience
Posted on July 1, 2020 | Filed Under: Research
An interdisciplinary collaboration across three colleges at NC State are working together to identify and analyze beneficial fungi in the core crops of North Carolina.