Hello, I am Carl Greene, a PhD Candidate in Electrical Engineering from the College of Engineering at Michigan Technological University. I came to Michigan Tech as a non-traditional graduate student, having completed my Bachelor of Science in Engineering Physics at the University of Wisconsin-Green Bay. After working in the battery, manufacturing and electronics industries, I had a desire to participate in meaningful research; therefore, I decided to pursue a graduate degree.
Shortly after starting my graduate work, I had the opportunity to join a project within the Agile and Integrated Microgrid (AIM) Research Center under the advisement of Dr. Wayne Weaver and Dr. Jeremy Bos. Our work focused on autonomous mobile microgrids and power transmission. During the pursuit of my master’s degree in Mechanical Engineering, I met researchers working in the Upper Peninsula (UP) on a bat conservation project. As a wildlife lover, I was fascinated by the project and their passion to combat White Nose Syndrome (WNS) and its effects on bat populations in the UP, leading me to develop the structure of my PhD work.
The Robust Autonomous Systems Lab or RASL at Michigan Tech has an extensive knowledge of LiDAR, computer vision and autonomous automotive sensors technologies, which aligned with my PhD project. Armed with the knowledge and resources from RASL, we were able to team up with the College of Forest Resources and Environmental Science and the Michigan DNR to further develop the use of autonomous automotive sensor technologies and applied machine learning to assist in bat monitoring and conservation.
When I am not doing research work, I enjoy hiking, reading, and aviation, as well as spending time with my rescue dogs and cats.
I am extremely grateful to be awarded this fellowship by the DeVlieg Foundation. This award provides me with the opportunity to focus solely on developing my algorithms and furthering my progress towards the completion of our work.