I graduated from the University of Tennessee at Chattanooga in 2009 with a Masters in Computer Science. I became involved in a research project with graduate students at the University of Cincinnati (led by Andrew Retting) that deal with using sensor networks to gather environmental data. That project is what grew into BigSense and LtSense, a fully open source system for gathering, reporting and aggregating data from sensor networks.
For the past decade, I've worked mostly in Software Engineering industry, and to a lesser extent System Administration and Dev-Ops. The types of companies I've worked for includes telecommunications, government, education, credit card processing, power, travel and e-commerce. For the past two and a half years, I was working for an open source consulting company in Wellington, New Zealand. I left that position in April 2015 and am currently on sabbatical, travelling through Europe and working on BigSense.
Dr. Andrew Rettig
I design and implement environmental sensor networks. I have been the sensor project manager for two projects exceeding 1 million dollars for both the National Science Foundation and the Environmental Protection Agency. I was co-founder of a sensor networking company raising over 500k in start-up capital.
Currently, I am teaching at the University of Dayton within the Electrical Engineering and Geology Departments where I have received funds for Internet of Things pedagogy development and the implementation of living labs for experiential student education. I also work with scientists from the United States and Canada as part of an Earth Science Information Partners project to create and maintain a wiki for sensor networking best practices.
My work and publications contribute to affordable and standardized real time geospatial sensor webs. To achieve my goals, my approach combines traditional sensor networking research with the current trends within the Internet of Things. Lastly, I advocate the use of open innovation, encouraging collaboration and open source software within distributed sensing.