Teaching Assistant, Lab Class about Signal Theory and Optical Engineering, Course for Graduate Students. Responsibilities included supervision of laboratory work and grading lab assignments. Lab class taught in Spring 1998, Fall 1997, Spring 1997, Fall 1996, and Spring 1996.
Teaching Assistant, Computational Electromagnetics, Course for Graduate Students. Responsibilities included preparing and presenting exercises, preparing homework solutions, being second examinator for oral exams. Course taught in Fall 1998, Spring 1998, Fall 1997, and Spring 1997.
Teaching Assistant, Mathematical Methods of Field Theory, Course for Graduate Students. Responsibilities included preparing and presenting exercises, preparing homework solutions, being second examinator for oral exams. Course taught in Fall 1997, Spring 1997, Fall 1996, and Spring 1996.
Tutor for freshmen in EE. Responsibilities included introduction of freshmen to university life, assist freshmen with homework in Foundations of Electrical Engineering, Physics, and Mathematical Foundations. Tutorial given in Spring 1993, Fall 1992, Spring 1992, Fall 1991, Spring 1991, and Fall 1990.
“Improving Code Quality for State-of-the-Art Electromagnetic Solvers”: (in preparation)
This project is in the process of development under the NASA-KY EPSCoR program in collaboration with my former colleagues at the University of Kentucky electromagnetics research group. It aims to provide researchers with a more robust code base that is truly cross-platform and standards-compliant, and that can be configured for different methods, preconditioners, and solvers at compile time in a less ad-hoc way as is currently the case for the existing code.
(8/2012—present)
This research focuses on monitoring beehive health through temperature measurement. The goal is to equip beehive cases with 96 temperature sensors to assess hive health especially during the winter months. Data is collected every 30 minutes and handed off via the cell phone network to a database for visualization and anomaly reporting purposes. All hard-and software is open source and it is envisioned that this will be extended to other sensor types to enable citizen scientists to cheaply build and deploy sensor networks for environmental monitoring.
“Environmental Monitoring and Citizen Science”: (2015–present)
This project is a collaborative effort with Kentucky State University's Land Grant Program.