Cranos 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
-
Ph.D.
2008
Electrical Engineering
North Carolina State University, Raleigh -
Master's
2002
Electrical Engineering
North Carolina State University, Raleigh -
Bachelor's
2001
Electrical Engineering
NC A&T State University, Greensboro
Research Focus
Funded Research
- Systems-level Measurements of Biophysical Parameters in the Dorsal/NF-κajppaB Pathway
- Improving Crop Productivity and Value Through Heterogeneous Data Integration, Analytics, and Decision Support Platforms
- Systems-level measurements of biophysical parameters in the Dorsal/NF-kappaB pathway
- Planning Grant: Engineering Research Center for Rapid Innovations in SystEms Engineering and Agricultural Sustainability (RiseEnAg)
- Natural Variation and Systems-Level Properties of Gene Regulation in Drosophila
- Collaborative Research: Modeling The Regulatory Network Of Inositol Phosphate Signaling In Plants.
- CREATIV Dynamic Regulatory Modeling of the Iron Deficiency Response in Arabidopsis thaliana
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 News
Introducing NC State’s Newest Outstanding Researchers
Posted on March 16, 2021 | Filed Under: Awards
Congratulations to Cranos Williams, recipient of the 2021 Outstanding Research Award for his interdisciplinary research and teaching.
Cranos Williams named Platform Director for Data-Driven Plant Sciences
Posted on November 19, 2020 | Filed Under: Faculty
Cranos Williams, a professor in the Department of Electrical and Computer Engineering, has been named the director of the Data-Driven Plant Sciences platform for the North Carolina Plant Sciences Initiative
2020 Promoted and Tenured Faculty
Posted on November 12, 2020 | Filed Under: Faculty
Congratulations to five outstanding ECE faculty members who were promoted to Professor or granted tenure this year.
Recent Media Mentions
Computational tool offers new insight into key biological processes
March 10, 2014
NC State researchers have developed a computational tool designed to guide future research on biochemical pathways that govern a host of biological processes. Cranos Williams, electrical and computer engineering, featured.
Recent Publications
- A multiscale model of lignin biosynthesis for predicting bioenergy traits in Populus trichocarpa (2021)
- Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery (2021)
- High-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales (2021)
- Internal defect scanning of sweetpotatoes using interactance spectroscopy (2021)
- BioVision Tracker: A semi-automated image analysis software for spatiotemporal gene expression tracking in Arabidopsis thaliana (2020)
- Gene Regulatory Network Inference: Connecting Plant Biology and Mathematical Modeling (2020)
- MAGIC: Live imaging of cellular division in plant seedlings using lightsheet microscopy (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)