Cranos Williams

Bio

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.

Area(s) of Expertise

Computational Intelligence, Machine Learning, Dynamic Systems Modeling, Multi-scale Modeling, Data Mining, Gene Regulatory Networks, Metabolic Pathway Modeling

Publications

• Deployment and analysis of instance segmentation algorithm for in-field yield estimation of sweet potatoes , PLANT PHENOME JOURNAL (2025)
• High-throughput classification and quantification of skinning phenotype in sweet potatoes , PLANT PHENOME JOURNAL (2025)
• In-season yield forecasting using multitemporal remote sensing environmental observations and machine learning: Applications for sweetpotato in North Carolina, USA , EUROPEAN JOURNAL OF AGRONOMY (2025)
• KeySDL: Sparse Dictionary Learning for Keystone Microbe Identification , (2025)
• Knowledge and Opportunities for Managing Plant-Parasitic Nematodes Using Decision Intelligence , PHYTOFRONTIERS (2025)
• No more laborious stem counting: AI-powered computer vision enables identification and quantification of solid and hollow alfalfa stems at the pixel level , SMART AGRICULTURAL TECHNOLOGY (2025)
• Spatiotemporal dynamics of NF-κB/Dorsal inhibitor IκBα/Cactus in Drosophila blastoderm embryos , ISCIENCE (2025)
• Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence , COMPUTERS AND ELECTRONICS IN AGRICULTURE (2024)
• Dynamics of BMP signaling and stable gene expression in the early Drosophila embryo , BIOLOGY OPEN (2024)
• Evaluating two high-throughput phenotyping platforms at early stages of the post-harvest pipeline of sweetpotatoes , SMART AGRICULTURAL TECHNOLOGY (2024)