I am a scientist and engineer working on multidisciplinary research projects towards improving efficiency and minimizing production costs, thus ensuring resilient and sustainable agriculture. My research is data-driven and converges on the interface of artificial intelligence, chemometrics, optical sensing, and system modeling in solving agricultural problems. I instruct and supervise undergraduate and graduate majors in Agricultural Engineering and Food Security and interns from diverse backgrounds.
Dissertation: Dynamic approaches to precision livestock feed production using computational intelligence and sensors
Advisor: Dr. Yushin Ha
February 2019
Thesis: Optimization of parboiling conditions for rice milling
Advisor: Dr. Yushin Ha
February 2016
Thesis: Phytochemical constituents and antimicrobial activity of aqueous extracts of Cymbopogon citratus
Advisor: Dr. Joshua Ngbede
August 2013
Smart Agriculture Innovation Center, Kyungpook National University, Daegu, Korea
July 2018- December 2020
My research focuses on developing systems and investigating the application of robotics and computational intelligence to efficiently and safely use tools to promote resilience such as protected cultivation systems. I also study the impact of agricultural activities on the environment. Please see the example videos below.
I model and optimize systems and machines using computational tools to facilitate precision in horticulture, livestock, and other areas of agriculture. An example is shown in the video below.
As a person who has studied and worked in an environment where I have been in the minority over the past seven years, I am aware of many academic challenges among under-represented groups. This motivates me to be dedicated to creating a welcoming, respectful, and inclusive environment at all levels.