Research & Training

Developing a successful cost-competitive, high-performance biofuels, bioproduct and biopower industry in the US.

Develop an integrated data analytics and decision support platform to optimize management strategies to resolve inconsistencies in produce quality, improving outcomes and increasing value. 

Identify optimal manure processing and end-product/technology combinations to improve manure use efficiency and reduce its adverse impacts on North Carolina air, water and soil resources

Recruit, retain, train, and mentor a cohort of three talented and inquisitive PhD students to capture, integrate, and analyze sweetpotato production data collected from field to market. 

Combine SAS data management and analysis techniques with computer science and statistical training to allow students to apply the processes of data mining and artificial intelligence to critical agriculture, food, and life science issues.